pax_global_header00006660000000000000000000000064152574716730014533gustar00rootroot0000000000000052 comment=300efd35e680b0d80a5aa719d3b7a78ce79b63b9 PlotPyStack-PlotPy-2af0906/000077500000000000000000000000001525747167300155265ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/.coveragerc000066400000000000000000000005551525747167300176540ustar00rootroot00000000000000[run] parallel = True concurrency = multiprocessing,thread omit = */plotpy/tests/* */plotpy/external/* */plotpy/plot/interactive.py *.vscode/extensions* */qwt/* */guidata/* [report] exclude_also = def __repr__ raise AssertionError raise NotImplementedError if __name__ == .__main__.: if TYPE_CHECKING: PlotPyStack-PlotPy-2af0906/.env.template000066400000000000000000000005131525747167300201300ustar00rootroot00000000000000# Python interpreter (explicit path, e.g. WinPython). Auto-detected if empty. PYTHON= # WinPython base directory (legacy, prefer PYTHON instead) # WINPYDIRBASE= # Virtual environment directory (e.g. .venv39). Auto-discovered if empty. VENV_DIR= # Python path for development (sibling packages) PYTHONPATH=. # Locale (e.g. fr) LANG=PlotPyStack-PlotPy-2af0906/.github/000077500000000000000000000000001525747167300170665ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/.github/copilot-instructions.md000066400000000000000000000102721525747167300236250ustar00rootroot00000000000000# PlotPy AI Coding Agent Instructions This document provides stable, repository-local guidance for AI coding agents working on PlotPy. It is intended to remain useful when PlotPy is opened on its own, without any additional companion workspace. ## Project Overview **PlotPy** is a Qt plotting library for scientific applications. It provides interactive widgets, plot items, tools, panels, and builder helpers on top of PythonQwt and guidata. ### Technology Stack - **Python**: 3.9+ (`from __future__ import annotations`) - **Core**: NumPy, SciPy, scikit-image - **GUI**: Qt via QtPy, guidata, PythonQwt - **Build**: Some features rely on Cython extensions - **Testing**: pytest - **Linting**: Ruff (preferred), Pylint when needed ### Architecture ``` plotpy/ |- builder/ # Factory helpers (`make.curve`, `make.image`, ...) |- items/ # Plot items (curves, images, shapes, annotations, quiver) |- interfaces/ # Base interfaces for tools and items |- mathutils/ # Computation utilities (colormaps, image filters) |- panels/ # Side panels and dockable tools |- plot/ # Plot widgets, plot manager, interaction plumbing |- pyplot.py # Simplified matplotlib-like interactive plotting API |- styles/ # Item style management |- tools/ # Interactive tools and commands |- widgets/ # Ready-to-use composite widgets |- tests/ # pytest suite ``` ## Development Workflows ### Running Commands **Always use `scripts/run_with_env.py`** when running Python commands in the development workspace so local sibling projects are resolved correctly: ```powershell python scripts/run_with_env.py python -m pytest --ff python scripts/run_with_env.py python -m ruff format python scripts/run_with_env.py python -m ruff check --fix ``` ### Cython Extensions PlotPy includes optional compiled extensions. Build them before running the full test suite when changes touch compiled modules or code that imports them: ```powershell python scripts/run_with_env.py python setup.py build_ext --inplace ``` ## Core Patterns ### Builder Pattern PlotPy commonly exposes items through builder helpers: ```python from plotpy.builder import make curve = make.curve(x, y, title="Signal", color="b") image = make.image(data, title="Image") quiver = make.quiver(x, y, dx, dy, title="Vector field") ``` Prefer following existing builder APIs when adding new items so interactive widgets and tests can use the new feature consistently. ### Plot Widget + Manager Pattern Interactive behavior is usually attached through plot managers and tools: ```python from plotpy.plot import PlotWidget from plotpy.tools import SelectTool widget = PlotWidget() widget.manager.add_tool(SelectTool) ``` ### Translation Rule Wrap user-facing strings with `_()` from `plotpy.config` when they are part of the UI or documentation surfaced through the application. ## Coding Conventions - Use `from __future__ import annotations` in Python modules. - Keep imports ordered: standard library, third-party, local. - Follow repository naming style already present in the touched module. - Prefer concise Google-style docstrings when the surrounding code uses them. - Keep changes focused; do not refactor unrelated plotting subsystems. ## Key Files | File | Purpose | |------|---------| | `plotpy/builder/` | Public item construction helpers | | `plotpy/items/` | Plot items and rendering behavior | | `plotpy/items/quiver.py` | QuiverItem for 2D vector field plots | | `plotpy/interfaces/` | Base interfaces for tools and items | | `plotpy/mathutils/` | Computation utilities (colormaps, filters) | | `plotpy/styles/` | Item style management | | `plotpy/pyplot.py` | Simplified matplotlib-like plotting API | | `plotpy/plot/` | Plot widgets, manager, event flow | | `plotpy/tools/` | Interactive tool implementations | | `plotpy/panels/` | UI panels around plots | | `plotpy/widgets/` | Composite widgets for applications | | `plotpy/config.py` | Configuration and translations | | `scripts/run_with_env.py` | Environment loader for local dev setup | ## Related Projects - `../guidata/` - parameter and Qt utility layer - `../PythonQwt/` - low-level plotting primitives - `../DataLab/` - downstream application using PlotPy PlotPyStack-PlotPy-2af0906/.github/workflows/000077500000000000000000000000001525747167300211235ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/.github/workflows/build.yml000066400000000000000000000010721525747167300227450ustar00rootroot00000000000000name: Build on: workflow_dispatch: jobs: build_wheels: name: Build wheels on ${{ matrix.os }} runs-on: ${{ matrix.os }} strategy: matrix: # macos-13 is an intel runner, macos-14 is apple silicon os: [ubuntu-latest, windows-latest, macos-13, macos-14] steps: - uses: actions/checkout@v4 - name: Build wheels run: pipx run cibuildwheel==2.21.2 - uses: actions/upload-artifact@v4 with: name: cibw-wheels-${{ matrix.os }}-${{ strategy.job-index }} path: ./wheelhouse/*.whl PlotPyStack-PlotPy-2af0906/.github/workflows/build_deploy.yml000066400000000000000000000035471525747167300243320ustar00rootroot00000000000000name: Build and upload to PyPI on: release: types: - published jobs: test: uses: ./.github/workflows/test_pyqt5.yml build_wheels: name: Build wheels on ${{ matrix.os }} runs-on: ${{ matrix.os }} strategy: matrix: os: [ubuntu-latest, windows-latest, macos-15] steps: - uses: actions/checkout@v4 - name: Install build dependencies (for prebuild) run: | pip install --upgrade pip pip install babel - name: Build wheels uses: pypa/cibuildwheel@v3.3.1 env: CIBW_BEFORE_BUILD: pip install babel && pybabel compile -d plotpy/locale -D plotpy - uses: actions/upload-artifact@v6 with: name: cibw-wheels-${{ matrix.os }}-${{ strategy.job-index }} path: ./wheelhouse/*.whl build_sdist: name: Build source distribution runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Install build dependencies run: | pip install babel - name: Compile translations using Babel run: | pybabel compile -d plotpy/locale -D plotpy - name: Build sdist run: pipx run build --sdist - uses: actions/upload-artifact@v6 with: name: cibw-sdist path: dist/*.tar.gz upload_pypi: needs: [test, build_wheels, build_sdist] runs-on: ubuntu-latest environment: pypi permissions: id-token: write if: github.event_name == 'release' && github.event.action == 'published' steps: - uses: actions/download-artifact@v7 with: # unpacks all CIBW artifacts into dist/ pattern: cibw-* path: dist merge-multiple: true - uses: pypa/gh-action-pypi-publish@release/v1 with: attestations: false password: ${{ secrets.PYPI_API_TOKEN }}PlotPyStack-PlotPy-2af0906/.github/workflows/test_pyqt5.yml000066400000000000000000000074361525747167300240010ustar00rootroot00000000000000# This workflow will install Python dependencies, run tests and lint with a variety of Python versions # For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python # Inspired from https://pytest-qt.readthedocs.io/en/latest/troubleshooting.html#github-actions name: Build, install and test with PyQt5 on: push: branches: [ "master", "develop", "release" ] pull_request: branches: [ "master", "develop", "release" ] workflow_call: jobs: build: env: DISPLAY: ':99.0' runs-on: ubuntu-latest strategy: fail-fast: false matrix: python-version: ["3.9", "3.13", "3.14"] steps: - uses: actions/checkout@v4 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: | sudo apt install libxkbcommon-x11-0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 libxcb-xinerama0 libxcb-xfixes0 x11-utils /sbin/start-stop-daemon --start --quiet --pidfile /tmp/custom_xvfb_99.pid --make-pidfile --background --exec /usr/bin/Xvfb -- :99 -screen 0 1920x1200x24 -ac +extension GLX python -m pip install --upgrade pip python -m pip install ruff pytest pip install PyQt5 setuptools numpy Cython python setup.py build_ext --inplace if [ "${{ github.ref_name }}" = "develop" ]; then pip uninstall -y guidata PythonQwt cd .. git clone --depth 1 --branch develop https://github.com/PlotPyStack/guidata.git git clone --depth 1 https://github.com/PlotPyStack/PythonQwt.git cd PlotPy pip install -e ../guidata pip install -e ../PythonQwt # Install tomli for TOML parsing (safe if already present) pip install tomli # Extract dependencies and save to file, then install python -c "import tomli; f=open('pyproject.toml','rb'); data=tomli.load(f); deps=[d for d in data['project']['dependencies'] if not any(p in d for p in ['guidata', 'PythonQwt'])]; open('deps.txt','w').write('\n'.join(deps))" pip install -r deps.txt # Install PlotPy without dependencies pip install --no-deps . elif [ "${{ github.ref_name }}" = "release" ]; then pip uninstall -y guidata PythonQwt cd .. # Try cloning guidata from release, fallback to main or master git clone --depth 1 --branch release https://github.com/PlotPyStack/guidata.git || git clone --depth 1 https://github.com/PlotPyStack/guidata.git || git clone --depth 1 --branch master https://github.com/PlotPyStack/guidata.git # Try cloning PythonQwt from main or master git clone --depth 1 https://github.com/PlotPyStack/PythonQwt.git || git clone --depth 1 --branch master https://github.com/PlotPyStack/PythonQwt.git cd PlotPy pip install -e ../guidata pip install -e ../PythonQwt # Install tomli for TOML parsing (safe if already present) pip install tomli # Extract dependencies and save to file, then install python -c "import tomli; f=open('pyproject.toml','rb'); data=tomli.load(f); deps=[d for d in data['project']['dependencies'] if not any(p in d for p in ['guidata', 'PythonQwt'])]; open('deps.txt','w').write('\n'.join(deps))" pip install -r deps.txt # Install PlotPy without dependencies pip install --no-deps . else # Install from PyPI normally for master branch pip install .[test] fi - name: Lint with Ruff run: ruff check --output-format=github plotpy - name: Test with pytest run: | pytest PlotPyStack-PlotPy-2af0906/.gitignore000066400000000000000000000011571525747167300175220ustar00rootroot00000000000000# Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # Visual Studio Code .env .venv .venv* # C extensions *.so *.pyd # Distribution / packaging .Python build/ develop-eggs/ dist/ eggs/ .eggs/ *.egg-info/ .installed.cfg *.egg MANIFEST # Tests .tox/ .hypothesis/ .coverage .coverage.* .cache unittests.xml coverage.xml coverage/ .pytest_cache/ pylint_report.txt /*.h5 /*.png /*.tif /*.pickle # Sphinx documentation docs/build/ # Generated cython c file src/histogram2d.c src/mandelbrot.c # qt.conf files doc/source/deployment_example/qt.conf # Coverage htmlcov # Other *.bak *_ui.py *.mo *.pot PlotPyStack-PlotPy-2af0906/.pre-commit-config.yaml000066400000000000000000000003251525747167300220070ustar00rootroot00000000000000repos: - repo: https://github.com/astral-sh/ruff-pre-commit # Ruff version. rev: v0.12.2 hooks: # Run the linter. - id: ruff-check args: [ --fix ] # Run the formatter. - id: ruff-formatPlotPyStack-PlotPy-2af0906/.pylintrc000066400000000000000000000011221525747167300173670ustar00rootroot00000000000000[FORMAT] # Essential to be able to compare code side-by-side (`black` default setting) # and best compromise to minimize file size max-line-length=88 [TYPECHECK] ignored-modules=qtpy.QtWidgets,qtpy.QtCore,qtpy.QtGui,qtpy.QtSvg,qtpy.QtPrintSupport,qtpy.QtDesigner,plotpy._scaler,plotpy.mandelbrot,plotpy.histogram2d,PyQt5.QtWidgets [MESSAGES CONTROL] disable=wrong-import-order [DESIGN] max-args=8 # default: 5 max-attributes=12 # default: 7 max-branches=17 # default: 12 max-locals=20 # default: 15 min-public-methods=0 # default: 2 max-public-methods=25 # default: 20PlotPyStack-PlotPy-2af0906/.readthedocs.yaml000066400000000000000000000007331525747167300207600ustar00rootroot00000000000000# Read the Docs configuration file for Sphinx projects # See https://docs.readthedocs.io/en/stable/config-file/v2.html for details version: 2 build: os: ubuntu-22.04 tools: python: "3.11" jobs: post_create_environment: - pip install PyQt5 setuptools numpy Cython - python setup.py build_ext --inplace sphinx: configuration: doc/conf.py formats: - pdf python: install: - method: pip path: . extra_requirements: - doc PlotPyStack-PlotPy-2af0906/.vscode/000077500000000000000000000000001525747167300170675ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/.vscode/launch.json000066400000000000000000000032311525747167300212330ustar00rootroot00000000000000{ // Use IntelliSense to learn about possible attributes. // Hover to view descriptions of existing attributes. // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 "version": "0.2.0", "configurations": [ { "name": "Run Test Launcher", "type": "debugpy", "request": "launch", "program": "${workspaceFolder}/plotpy/tests/__init__.py", "console": "integratedTerminal", "envFile": "${workspaceFolder}/.env", "justMyCode": true, "env": { "QT_COLOR_MODE": "light", } }, { "name": "Run current file", "type": "debugpy", "request": "launch", "program": "${file}", "console": "integratedTerminal", "envFile": "${workspaceFolder}/.env", "justMyCode": false, "pythonArgs": [ "-W error::DeprecationWarning", "-W error::RuntimeWarning", ], "env": {} }, { "name": "Run current file (unattended)", "type": "debugpy", "request": "launch", "program": "${file}", "console": "integratedTerminal", "envFile": "${workspaceFolder}/.env", "pythonArgs": [ "-W error::DeprecationWarning", ], "justMyCode": false, "args": [ "--unattended" ], "env": { "GUIDATA_PARSE_ARGS": "1", } } ] }PlotPyStack-PlotPy-2af0906/.vscode/settings.json000066400000000000000000000015461525747167300216300ustar00rootroot00000000000000{ "[bat]": { "files.encoding": "cp850" }, "[python]": { "editor.defaultFormatter": "charliermarsh.ruff" }, "[restructuredtext]": { "editor.wordWrap": "on" }, "editor.codeActionsOnSave": { "source.organizeImports.ruff": "explicit" }, "editor.formatOnSave": true, "editor.rulers": [ 88 ], "files.exclude": { "**/__pycache__": true, "**/*.pyc": true, "**/*.pyo": true, "**/*.pyd": true }, "files.trimFinalNewlines": true, "files.trimTrailingWhitespace": true, "python.analysis.autoFormatStrings": true, "python.testing.pytestArgs": [], "python.testing.pytestEnabled": true, "python.testing.pytestPath": "pytest", "python.testing.unittestEnabled": false, "terminal.integrated.tabs.description": "${workspaceFolder}", }PlotPyStack-PlotPy-2af0906/.vscode/tasks.json000066400000000000000000000426531525747167300211210ustar00rootroot00000000000000{ // See https://go.microsoft.com/fwlink/?LinkId=733558 // for the documentation about the tasks.json format "version": "2.0.0", "tasks": [ { "label": "๐Ÿงฝ Ruff Formatter", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "ruff", "format", ], "options": { "cwd": "${workspaceFolder}", "statusbar": { "hide": true, }, }, "group": { "kind": "build", "isDefault": true, }, "presentation": { "clear": true, "echo": true, "focus": false, "panel": "dedicated", "reveal": "always", "showReuseMessage": true, }, "type": "shell", }, { "label": "๐Ÿ”ฆ Ruff Linter", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "ruff", "check", "--fix", ], "options": { "cwd": "${workspaceFolder}", "statusbar": { "hide": true, }, }, "group": { "kind": "build", "isDefault": true, }, "presentation": { "clear": true, "echo": true, "focus": false, "panel": "dedicated", "reveal": "always", "showReuseMessage": true, }, "type": "shell", }, { "label": "๐Ÿงฝ๐Ÿ”ฆ Ruff", "dependsOrder": "sequence", "dependsOn": [ "๐Ÿงฝ Ruff Formatter", "๐Ÿ”ฆ Ruff Linter", ], "group": { "kind": "build", "isDefault": false, }, "presentation": { "clear": true, "echo": true, "focus": false, "panel": "dedicated", "reveal": "always", "showReuseMessage": true, }, "type": "shell", }, { "label": "๐Ÿ”ฆ Pylint", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "pylint", "plotpy", "--disable=duplicate-code", "--disable=fixme", "--disable=too-many-arguments", "--disable=too-many-branches", "--disable=too-many-instance-attributes", "--disable=too-many-lines", "--disable=too-many-locals", "--disable=too-many-public-methods", "--disable=too-many-statements", ], "options": { "cwd": "${workspaceFolder}", }, "group": { "kind": "build", "isDefault": true, }, "presentation": { "clear": true, "echo": true, "focus": false, "panel": "dedicated", "reveal": "always", "showReuseMessage": true, }, "type": "shell", }, { "label": "๐Ÿš€ Pytest", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "pytest", "--ff", ], "options": { "cwd": "${workspaceFolder}", "env": { "UNATTENDED": "1", }, }, "group": { "kind": "build", "isDefault": true, }, "presentation": { "echo": true, "reveal": "always", "focus": false, "panel": "dedicated", "showReuseMessage": true, "clear": true, }, "type": "shell", }, { "label": "๐Ÿ”Ž Scan translations", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "guidata.utils.translations", "scan", "--name", "plotpy", "--directory", ".", "--copyright-holder", "CEA, Codra, Pierre Raybaut", ], "group": { "kind": "build", "isDefault": false, }, "options": { "cwd": "${workspaceFolder}", }, "presentation": { "clear": true, "echo": true, "focus": false, "panel": "dedicated", "reveal": "always", "showReuseMessage": true, }, "type": "shell", }, { "label": "๐Ÿ“š Compile translations", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "guidata.utils.translations", "compile", "--name", "plotpy", "--directory", ".", ], "group": { "kind": "build", "isDefault": false, }, "options": { "cwd": "${workspaceFolder}", }, "presentation": { "clear": true, "echo": true, "focus": false, "panel": "dedicated", "reveal": "always", "showReuseMessage": true, }, "type": "shell", }, { "label": "Generate requirements", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "guidata.utils.genreqs", "all", ], "options": { "cwd": "${workspaceFolder}", "statusbar": { "hide": true, }, }, "group": { "kind": "build", "isDefault": false, }, "presentation": { "clear": true, "echo": true, "focus": false, "panel": "dedicated", "reveal": "always", "showReuseMessage": true, }, "type": "shell", }, { "label": "๐Ÿ” Reinstall guidata dev", "type": "shell", "command": "${config:python.defaultInterpreterPath}", "args": [ "scripts/run_with_env.py", "${config:python.defaultInterpreterPath}", "${workspaceFolder}/scripts/reinstall_dev.py", ], "options": { "cwd": "${workspaceFolder}", "statusbar": { "hide": true, }, }, "presentation": { "panel": "dedicated", "reveal": "always", }, "problemMatcher": [], }, { "label": "๐Ÿงน Clean Up", "type": "shell", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "guidata.utils.cleanup" ], "options": { "cwd": "${workspaceFolder}" }, "group": { "kind": "build", "isDefault": true }, "presentation": { "echo": true, "reveal": "always", "focus": false, "panel": "shared", "showReuseMessage": true, "clear": false, }, }, { "label": "Upgrade PythonQwt/guidata", "type": "shell", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "pip", "install", "--upgrade", "pip", "PythonQwt", "guidata", ], "options": { "cwd": "scripts", "env": { "PYTHON": "${command:python.interpreterPath}", "UNATTENDED": "1", }, "statusbar": { "hide": true, }, }, "group": { "kind": "build", "isDefault": true, }, "presentation": { "echo": true, "reveal": "always", "focus": false, "panel": "shared", "showReuseMessage": true, "clear": false, }, }, { "label": "๐Ÿ“š Build documentation", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "sphinx", "build", "doc", "${workspaceFolder}/build/doc", "-b", "html", // "-W", ], "options": { "cwd": "${workspaceFolder}", }, "group": { "kind": "build", "isDefault": true, }, "presentation": { "clear": true, "echo": true, "focus": false, "panel": "dedicated", "reveal": "always", "showReuseMessage": true, }, "type": "shell", "dependsOrder": "sequence", "dependsOn": [ "Generate requirements", ], }, { "label": "๐ŸŒ Open HTML doc", "type": "shell", "windows": { "command": "start build/doc/index.html", }, "linux": { "command": "xdg-open build/doc/index.html", }, "osx": { "command": "open build/doc/index.html", }, "options": { "cwd": "${workspaceFolder}", }, "problemMatcher": [], }, { "label": "๐Ÿ“ฆ Build package", "type": "shell", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "guidata.utils.securebuild", ], "options": { "cwd": "${workspaceFolder}", }, "group": { "kind": "build", "isDefault": false, }, "presentation": { "clear": true, "panel": "dedicated", }, "problemMatcher": [], "dependsOrder": "sequence", "dependsOn": [ "๐Ÿงน Clean Up", ], }, { "label": "Build all wheels", "type": "shell", "command": "cmd", "options": { "cwd": "scripts", "env": { "PYTHON": "${command:python.interpreterPath}", "UNATTENDED": "1", }, "statusbar": { "hide": true, }, }, "args": [ "/c", "build_wheels.bat", ], "problemMatcher": [], "group": { "kind": "build", "isDefault": false, }, "presentation": { "echo": true, "reveal": "always", "focus": false, "panel": "shared", "showReuseMessage": true, "clear": true, }, "dependsOrder": "sequence", "dependsOn": [ "๐Ÿงน Clean Up", ], }, { "label": "โ›๏ธ Build in place", "type": "shell", "command": "cmd", "options": { "cwd": "scripts", "env": { "PYTHON": "${command:python.interpreterPath}", "UNATTENDED": "1", }, }, "args": [ "/c", "build_inplace.bat", ], "problemMatcher": [], "group": { "kind": "build", "isDefault": true, }, "presentation": { "echo": true, "reveal": "always", "focus": false, "panel": "shared", "showReuseMessage": true, "clear": true, }, "dependsOrder": "sequence", "dependsOn": [ "๐Ÿงน Clean Up", ], }, { "label": "๐Ÿงช Coverage tests", "type": "shell", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "coverage", "run", "-m", "pytest", "plotpy", ], "options": { "cwd": "${workspaceFolder}", "env": { "COVERAGE_PROCESS_START": "${workspaceFolder}/.coveragerc", }, "statusbar": { "hide": true, }, }, "group": { "kind": "test", "isDefault": true, }, "presentation": { "panel": "dedicated", }, "problemMatcher": [], }, { "label": "๐Ÿ“Š Coverage full", "type": "shell", "windows": { "command": "${command:python.interpreterPath} scripts/run_with_env.py ${command:python.interpreterPath} -m coverage combine; if ($?) { ${command:python.interpreterPath} scripts/run_with_env.py ${command:python.interpreterPath} -m coverage html; if ($?) { start htmlcov\\index.html } }", }, "linux": { "command": "${command:python.interpreterPath} scripts/run_with_env.py ${command:python.interpreterPath} -m coverage combine && ${command:python.interpreterPath} scripts/run_with_env.py ${command:python.interpreterPath} -m coverage html && xdg-open htmlcov/index.html", }, "osx": { "command": "${command:python.interpreterPath} scripts/run_with_env.py ${command:python.interpreterPath} -m coverage combine && ${command:python.interpreterPath} scripts/run_with_env.py ${command:python.interpreterPath} -m coverage html && open htmlcov/index.html", }, "options": { "cwd": "${workspaceFolder}", "env": { "COVERAGE_PROCESS_START": "${workspaceFolder}/.coveragerc", }, }, "presentation": { "panel": "dedicated", }, "problemMatcher": [], "dependsOrder": "sequence", "dependsOn": [ "๐Ÿงช Coverage tests", ], }, { "label": "๐Ÿ–ผ๏ธ Icon Browser", "command": "${command:python.interpreterPath}", "args": [ "scripts/run_with_env.py", "${command:python.interpreterPath}", "-m", "guidata.widgets.iconbrowser", "${workspaceFolder}/plotpy/data/icons", ], "options": { "cwd": "${workspaceFolder}", }, "group": { "kind": "build", "isDefault": true, }, "presentation": { "clear": true, "echo": true, "focus": false, "panel": "dedicated", "reveal": "always", "showReuseMessage": true, }, "type": "shell", }, ], }PlotPyStack-PlotPy-2af0906/LICENSE000066400000000000000000000027761525747167300165470ustar00rootroot00000000000000BSD 3-Clause License Copyright (c) 2023, CEA-Codra, Pierre Raybaut. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. PlotPyStack-PlotPy-2af0906/MANIFEST.in000066400000000000000000000001441525747167300172630ustar00rootroot00000000000000graft doc graft qtdesigner graft src graft colormaps include *.desktop include requirements.txtPlotPyStack-PlotPy-2af0906/README.md000066400000000000000000000115251525747167300170110ustar00rootroot00000000000000# PlotPy: Curve and image plotting tools for Python/Qt applications [![pypi version](https://img.shields.io/pypi/v/plotpy.svg)](https://pypi.org/project/plotpy/) [![PyPI status](https://img.shields.io/pypi/status/plotpy.svg)](https://github.com/PlotPyStack/plotpy/) [![PyPI pyversions](https://img.shields.io/pypi/pyversions/plotpy.svg)](https://pypi.python.org/pypi/plotpy/) [![download count](https://img.shields.io/conda/dn/conda-forge/plotpy.svg)](https://www.anaconda.com/download/) โ„น๏ธ Created in 2016 by [Pierre Raybaut](https://github.com/PierreRaybaut) and maintained by the [PlotPyStack](https://github.com/PlotPyStack) organization. โ„น๏ธ PlotPy ***V2*** is the new major release of [`guiqwt`](https://github.com/PierreRaybaut/guiqwt): same team ๐Ÿ‹๏ธ, same goal ๐ŸŽฏ, same long-term support โณ. ## Overview `plotpy` is is a Python library providing efficient 2D data-plotting features for interactive computing and signal/image processing application development. It is part of the [PlotPyStack](https://github.com/PlotPyStack) project, aiming at providing a unified framework for creating scientific GUIs with Python and Qt. `plotpy` is based on: * [Python](http://www.python.org) language and [Qt](https://doc.qt.io/) GUI toolkit * [guidata](https://pypi.python.org/pypi/guidata) automatic GUI generation library * [PythonQwt](https://pypi.python.org/pypi/PythonQwt) plotting widgets library * [NumPy](https://pypi.python.org/pypi/NumPy) and [SciPy](https://pypi.python.org/pypi/SciPy) scientific computing libraries * [scikit-image](https://pypi.python.org/pypi/scikit-image) image processing library * [Pillow](https://pypi.python.org/pypi/Pillow) imaging library and [tifffile](https://pypi.python.org/pypi/tifffile) TIFF I/O library See [documentation](https://plotpy.readthedocs.io/en/latest/) for more details on the library. Copyrights and licensing: * Copyright ยฉ 2023-2026 [CEA](https://www.cea.fr), [Codra](https://codra.net/), [Pierre Raybaut](https://github.com/PierreRaybaut). * Licensed under the terms of the BSD 3-Clause (see [LICENSE](https://github.com/PlotPyStack/PlotPy/blob/master/LICENSE)). ## Features The `plotpy` library also provides the following features. General plotting features: * Ready-to-use [plot widgets and dialog boxes](https://plotpy.readthedocs.io/en/latest/features/plot/index.html) * [pyplot](https://plotpy.readthedocs.io/en/latest/features/pyplot.html): interactive plotting widgets, equivalent to `matplotlib.pyplot`, at least for the implemented functions * Supported [plot items](https://plotpy.readthedocs.io/en/latest/features/items/index.html): curves, images, contours, histograms, vector fields (quiver plots), labels, shapes, annotations, ... Interactive features (i.e. not only programmatic plotting but also with mouse/keyboard): * Multiple object selection for moving objects or editing their properties through automatically generated dialog boxes * Item list panel: move objects from foreground to background, show/hide objects, remove objects, ... * Customizable aspect ratio for images * Tons of ready-to-use tools: plot canvas export to image file, image snapshot, interval selection, image rectangular filter, etc. * Curve fitting tool with automatic fit, manual fit with sliders, ... * Contrast adjustment panel for images: select the LUT by moving a range selection object on the image levels histogram, eliminate outliers, invert colormaps, ... * X-axis and Y-axis cross-sections: support for multiple images, average cross-section tool on a rectangular area, ... * Apply any affine transform to displayed images in real-time (rotation, magnification, translation, horizontal/vertical flip, ...) Application development helpers: * Ready-to-use [plot widgets and dialog boxes](https://plotpy.readthedocs.io/en/latest/features/plot/index.html) * Load/save graphical objects (curves, images, shapes) into HDF5, JSON or INI files * A lot of test scripts which demonstrate `plotpy` features (see [examples](https://plotpy.readthedocs.io/en/latest/intro/examples.html)) ## Dependencies and installation ### Supported Qt versions and bindings The whole PlotPyStack set of libraries relies on the [Qt](https://doc.qt.io/) GUI toolkit, thanks to [QtPy](https://pypi.org/project/QtPy/), an abstraction layer which allows to use the same API to interact with different Python-to-Qt bindings (PyQt5, PyQt6, PySide2, PySide6). Compatibility table: | PlotPy version | PyQt5 | PyQt6 | PySide2 | PySide6 | |----------------|-------|-------|---------|---------| | 2.0-2.5 | โœ… | โš ๏ธ | โŒ | โš ๏ธ | | Latest | โœ… | โœ… | โŒ | โœ… | ### Other dependencies and installation See [Installation](https://plotpy.readthedocs.io/en/latest/intro/installation.html) section in the documentation for more details. PlotPyStack-PlotPy-2af0906/babel.cfg000066400000000000000000000001321525747167300172500ustar00rootroot00000000000000# This file is used to configure Babel for the project. [python: **.py] encoding = utf-8 PlotPyStack-PlotPy-2af0906/colormaps/000077500000000000000000000000001525747167300175255ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/colormaps/README.md000066400000000000000000000002511525747167300210020ustar00rootroot00000000000000This directory contains functions and data useful to generate default colormaps used in Plotpy. Launch `colormap.py` to create/overwrite the colormaps_default.json file.PlotPyStack-PlotPy-2af0906/colormaps/_cm.py000066400000000000000000014511741525747167300206520ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Color data and pre-defined cmap objects. This is a helper for cm.py, originally part of that file. Separating the data (this file) from cm.py makes both easier to deal with. Objects visible in cm.py are the individual cmap objects ('autumn', etc.) and a dictionary, 'datad', including all of these objects. """ # pylint: disable-msg=C0103 # pylint: disable-msg=C0301 # pylint: disable-msg=C0302 _binary_data = { "red": ((0.0, 1.0, 1.0), (1.0, 0.0, 0.0)), "green": ((0.0, 1.0, 1.0), (1.0, 0.0, 0.0)), "blue": ((0.0, 1.0, 1.0), (1.0, 0.0, 0.0)), } _bone_data = { "red": ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0)), "green": ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0)), "blue": ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0)), } _autumn_data = { "red": ((0.0, 1.0, 1.0), (1.0, 1.0, 1.0)), "green": ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0)), "blue": ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0)), } _bone_data = { "red": ((0.0, 0.0, 0.0), (0.746032, 0.652778, 0.652778), (1.0, 1.0, 1.0)), "green": ( (0.0, 0.0, 0.0), (0.365079, 0.319444, 0.319444), (0.746032, 0.777778, 0.777778), (1.0, 1.0, 1.0), ), "blue": ((0.0, 0.0, 0.0), (0.365079, 0.444444, 0.444444), (1.0, 1.0, 1.0)), } _cool_data = { "red": ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0)), "green": ((0.0, 1.0, 1.0), (1.0, 0.0, 0.0)), "blue": ((0.0, 1.0, 1.0), (1.0, 1.0, 1.0)), } _copper_data = { "red": ((0.0, 0.0, 0.0), (0.809524, 1.000000, 1.000000), (1.0, 1.0, 1.0)), "green": ((0.0, 0.0, 0.0), (1.0, 0.7812, 0.7812)), "blue": ((0.0, 0.0, 0.0), (1.0, 0.4975, 0.4975)), } _flag_data = { "red": ( (0.0, 1.0, 1.0), (0.015873, 1.000000, 1.000000), (0.031746, 0.000000, 0.000000), (0.047619, 0.000000, 0.000000), (0.063492, 1.000000, 1.000000), (0.079365, 1.000000, 1.000000), (0.095238, 0.000000, 0.000000), (0.111111, 0.000000, 0.000000), (0.126984, 1.000000, 1.000000), (0.142857, 1.000000, 1.000000), (0.158730, 0.000000, 0.000000), (0.174603, 0.000000, 0.000000), (0.190476, 1.000000, 1.000000), (0.206349, 1.000000, 1.000000), (0.222222, 0.000000, 0.000000), (0.238095, 0.000000, 0.000000), (0.253968, 1.000000, 1.000000), (0.269841, 1.000000, 1.000000), (0.285714, 0.000000, 0.000000), (0.301587, 0.000000, 0.000000), (0.317460, 1.000000, 1.000000), (0.333333, 1.000000, 1.000000), (0.349206, 0.000000, 0.000000), (0.365079, 0.000000, 0.000000), (0.380952, 1.000000, 1.000000), (0.396825, 1.000000, 1.000000), (0.412698, 0.000000, 0.000000), (0.428571, 0.000000, 0.000000), (0.444444, 1.000000, 1.000000), (0.460317, 1.000000, 1.000000), (0.476190, 0.000000, 0.000000), (0.492063, 0.000000, 0.000000), (0.507937, 1.000000, 1.000000), (0.523810, 1.000000, 1.000000), (0.539683, 0.000000, 0.000000), (0.555556, 0.000000, 0.000000), (0.571429, 1.000000, 1.000000), (0.587302, 1.000000, 1.000000), (0.603175, 0.000000, 0.000000), (0.619048, 0.000000, 0.000000), (0.634921, 1.000000, 1.000000), (0.650794, 1.000000, 1.000000), (0.666667, 0.000000, 0.000000), (0.682540, 0.000000, 0.000000), (0.698413, 1.000000, 1.000000), (0.714286, 1.000000, 1.000000), (0.730159, 0.000000, 0.000000), (0.746032, 0.000000, 0.000000), (0.761905, 1.000000, 1.000000), (0.777778, 1.000000, 1.000000), (0.793651, 0.000000, 0.000000), (0.809524, 0.000000, 0.000000), (0.825397, 1.000000, 1.000000), (0.841270, 1.000000, 1.000000), (0.857143, 0.000000, 0.000000), (0.873016, 0.000000, 0.000000), (0.888889, 1.000000, 1.000000), (0.904762, 1.000000, 1.000000), (0.920635, 0.000000, 0.000000), (0.936508, 0.000000, 0.000000), (0.952381, 1.000000, 1.000000), (0.968254, 1.000000, 1.000000), (0.984127, 0.000000, 0.000000), (1.0, 0.0, 0.0), ), "green": ( (0.0, 0.0, 0.0), (0.015873, 1.000000, 1.000000), (0.031746, 0.000000, 0.000000), (0.063492, 0.000000, 0.000000), (0.079365, 1.000000, 1.000000), (0.095238, 0.000000, 0.000000), (0.126984, 0.000000, 0.000000), (0.142857, 1.000000, 1.000000), (0.158730, 0.000000, 0.000000), (0.190476, 0.000000, 0.000000), (0.206349, 1.000000, 1.000000), (0.222222, 0.000000, 0.000000), (0.253968, 0.000000, 0.000000), (0.269841, 1.000000, 1.000000), (0.285714, 0.000000, 0.000000), (0.317460, 0.000000, 0.000000), (0.333333, 1.000000, 1.000000), (0.349206, 0.000000, 0.000000), (0.380952, 0.000000, 0.000000), (0.396825, 1.000000, 1.000000), (0.412698, 0.000000, 0.000000), (0.444444, 0.000000, 0.000000), (0.460317, 1.000000, 1.000000), (0.476190, 0.000000, 0.000000), (0.507937, 0.000000, 0.000000), (0.523810, 1.000000, 1.000000), (0.539683, 0.000000, 0.000000), (0.571429, 0.000000, 0.000000), (0.587302, 1.000000, 1.000000), (0.603175, 0.000000, 0.000000), (0.634921, 0.000000, 0.000000), (0.650794, 1.000000, 1.000000), (0.666667, 0.000000, 0.000000), (0.698413, 0.000000, 0.000000), (0.714286, 1.000000, 1.000000), (0.730159, 0.000000, 0.000000), (0.761905, 0.000000, 0.000000), (0.777778, 1.000000, 1.000000), (0.793651, 0.000000, 0.000000), (0.825397, 0.000000, 0.000000), (0.841270, 1.000000, 1.000000), (0.857143, 0.000000, 0.000000), (0.888889, 0.000000, 0.000000), (0.904762, 1.000000, 1.000000), (0.920635, 0.000000, 0.000000), (0.952381, 0.000000, 0.000000), (0.968254, 1.000000, 1.000000), (0.984127, 0.000000, 0.000000), (1.0, 0.0, 0.0), ), "blue": ( (0.0, 0.0, 0.0), (0.015873, 1.000000, 1.000000), (0.031746, 1.000000, 1.000000), (0.047619, 0.000000, 0.000000), (0.063492, 0.000000, 0.000000), (0.079365, 1.000000, 1.000000), (0.095238, 1.000000, 1.000000), (0.111111, 0.000000, 0.000000), (0.126984, 0.000000, 0.000000), (0.142857, 1.000000, 1.000000), (0.158730, 1.000000, 1.000000), (0.174603, 0.000000, 0.000000), (0.190476, 0.000000, 0.000000), (0.206349, 1.000000, 1.000000), (0.222222, 1.000000, 1.000000), (0.238095, 0.000000, 0.000000), (0.253968, 0.000000, 0.000000), (0.269841, 1.000000, 1.000000), (0.285714, 1.000000, 1.000000), (0.301587, 0.000000, 0.000000), (0.317460, 0.000000, 0.000000), (0.333333, 1.000000, 1.000000), (0.349206, 1.000000, 1.000000), (0.365079, 0.000000, 0.000000), (0.380952, 0.000000, 0.000000), (0.396825, 1.000000, 1.000000), (0.412698, 1.000000, 1.000000), (0.428571, 0.000000, 0.000000), (0.444444, 0.000000, 0.000000), (0.460317, 1.000000, 1.000000), (0.476190, 1.000000, 1.000000), (0.492063, 0.000000, 0.000000), (0.507937, 0.000000, 0.000000), (0.523810, 1.000000, 1.000000), (0.539683, 1.000000, 1.000000), (0.555556, 0.000000, 0.000000), (0.571429, 0.000000, 0.000000), (0.587302, 1.000000, 1.000000), (0.603175, 1.000000, 1.000000), (0.619048, 0.000000, 0.000000), (0.634921, 0.000000, 0.000000), (0.650794, 1.000000, 1.000000), (0.666667, 1.000000, 1.000000), (0.682540, 0.000000, 0.000000), (0.698413, 0.000000, 0.000000), (0.714286, 1.000000, 1.000000), (0.730159, 1.000000, 1.000000), (0.746032, 0.000000, 0.000000), (0.761905, 0.000000, 0.000000), (0.777778, 1.000000, 1.000000), (0.793651, 1.000000, 1.000000), (0.809524, 0.000000, 0.000000), (0.825397, 0.000000, 0.000000), (0.841270, 1.000000, 1.000000), (0.857143, 1.000000, 1.000000), (0.873016, 0.000000, 0.000000), (0.888889, 0.000000, 0.000000), (0.904762, 1.000000, 1.000000), (0.920635, 1.000000, 1.000000), (0.936508, 0.000000, 0.000000), (0.952381, 0.000000, 0.000000), (0.968254, 1.000000, 1.000000), (0.984127, 1.000000, 1.000000), (1.0, 0.0, 0.0), ), } _gray_data = { "red": ((0.0, 0, 0), (1.0, 1, 1)), "green": ((0.0, 0, 0), (1.0, 1, 1)), "blue": ((0.0, 0, 0), (1.0, 1, 1)), } _hot_data = { "red": ((0.0, 0.0416, 0.0416), (0.365079, 1.000000, 1.000000), (1.0, 1.0, 1.0)), "green": ( (0.0, 0.0, 0.0), (0.365079, 0.000000, 0.000000), (0.746032, 1.000000, 1.000000), (1.0, 1.0, 1.0), ), "blue": ((0.0, 0.0, 0.0), (0.746032, 0.000000, 0.000000), (1.0, 1.0, 1.0)), } _hsv_data = { "red": ( (0.0, 1.0, 1.0), (0.158730, 1.000000, 1.000000), (0.174603, 0.968750, 0.968750), (0.333333, 0.031250, 0.031250), (0.349206, 0.000000, 0.000000), (0.666667, 0.000000, 0.000000), (0.682540, 0.031250, 0.031250), (0.841270, 0.968750, 0.968750), (0.857143, 1.000000, 1.000000), (1.0, 1.0, 1.0), ), "green": ( (0.0, 0.0, 0.0), (0.158730, 0.937500, 0.937500), (0.174603, 1.000000, 1.000000), (0.507937, 1.000000, 1.000000), (0.666667, 0.062500, 0.062500), (0.682540, 0.000000, 0.000000), (1.0, 0.0, 0.0), ), "blue": ( (0.0, 0.0, 0.0), (0.333333, 0.000000, 0.000000), (0.349206, 0.062500, 0.062500), (0.507937, 1.000000, 1.000000), (0.841270, 1.000000, 1.000000), (0.857143, 0.937500, 0.937500), (1.0, 0.09375, 0.09375), ), } _jet_data = { "red": ((0.0, 0, 0), (0.35, 0, 0), (0.66, 1, 1), (0.89, 1, 1), (1, 0.5, 0.5)), "green": ( (0.0, 0, 0), (0.125, 0, 0), (0.375, 1, 1), (0.64, 1, 1), (0.91, 0, 0), (1, 0, 0), ), "blue": ((0.0, 0.5, 0.5), (0.11, 1, 1), (0.34, 1, 1), (0.65, 0, 0), (1, 0, 0)), } _pink_data = { "red": ( (0.0, 0.1178, 0.1178), (0.015873, 0.195857, 0.195857), (0.031746, 0.250661, 0.250661), (0.047619, 0.295468, 0.295468), (0.063492, 0.334324, 0.334324), (0.079365, 0.369112, 0.369112), (0.095238, 0.400892, 0.400892), (0.111111, 0.430331, 0.430331), (0.126984, 0.457882, 0.457882), (0.142857, 0.483867, 0.483867), (0.158730, 0.508525, 0.508525), (0.174603, 0.532042, 0.532042), (0.190476, 0.554563, 0.554563), (0.206349, 0.576204, 0.576204), (0.222222, 0.597061, 0.597061), (0.238095, 0.617213, 0.617213), (0.253968, 0.636729, 0.636729), (0.269841, 0.655663, 0.655663), (0.285714, 0.674066, 0.674066), (0.301587, 0.691980, 0.691980), (0.317460, 0.709441, 0.709441), (0.333333, 0.726483, 0.726483), (0.349206, 0.743134, 0.743134), (0.365079, 0.759421, 0.759421), (0.380952, 0.766356, 0.766356), (0.396825, 0.773229, 0.773229), (0.412698, 0.780042, 0.780042), (0.428571, 0.786796, 0.786796), (0.444444, 0.793492, 0.793492), (0.460317, 0.800132, 0.800132), (0.476190, 0.806718, 0.806718), (0.492063, 0.813250, 0.813250), (0.507937, 0.819730, 0.819730), (0.523810, 0.826160, 0.826160), (0.539683, 0.832539, 0.832539), (0.555556, 0.838870, 0.838870), (0.571429, 0.845154, 0.845154), (0.587302, 0.851392, 0.851392), (0.603175, 0.857584, 0.857584), (0.619048, 0.863731, 0.863731), (0.634921, 0.869835, 0.869835), (0.650794, 0.875897, 0.875897), (0.666667, 0.881917, 0.881917), (0.682540, 0.887896, 0.887896), (0.698413, 0.893835, 0.893835), (0.714286, 0.899735, 0.899735), (0.730159, 0.905597, 0.905597), (0.746032, 0.911421, 0.911421), (0.761905, 0.917208, 0.917208), (0.777778, 0.922958, 0.922958), (0.793651, 0.928673, 0.928673), (0.809524, 0.934353, 0.934353), (0.825397, 0.939999, 0.939999), (0.841270, 0.945611, 0.945611), (0.857143, 0.951190, 0.951190), (0.873016, 0.956736, 0.956736), (0.888889, 0.962250, 0.962250), (0.904762, 0.967733, 0.967733), (0.920635, 0.973185, 0.973185), (0.936508, 0.978607, 0.978607), (0.952381, 0.983999, 0.983999), (0.968254, 0.989361, 0.989361), (0.984127, 0.994695, 0.994695), (1.0, 1.0, 1.0), ), "green": ( (0.0, 0.0, 0.0), (0.015873, 0.102869, 0.102869), (0.031746, 0.145479, 0.145479), (0.047619, 0.178174, 0.178174), (0.063492, 0.205738, 0.205738), (0.079365, 0.230022, 0.230022), (0.095238, 0.251976, 0.251976), (0.111111, 0.272166, 0.272166), (0.126984, 0.290957, 0.290957), (0.142857, 0.308607, 0.308607), (0.158730, 0.325300, 0.325300), (0.174603, 0.341178, 0.341178), (0.190476, 0.356348, 0.356348), (0.206349, 0.370899, 0.370899), (0.222222, 0.384900, 0.384900), (0.238095, 0.398410, 0.398410), (0.253968, 0.411476, 0.411476), (0.269841, 0.424139, 0.424139), (0.285714, 0.436436, 0.436436), (0.301587, 0.448395, 0.448395), (0.317460, 0.460044, 0.460044), (0.333333, 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(0.317460, 0.460044, 0.460044), (0.333333, 0.471405, 0.471405), (0.349206, 0.482498, 0.482498), (0.365079, 0.493342, 0.493342), (0.380952, 0.503953, 0.503953), (0.396825, 0.514344, 0.514344), (0.412698, 0.524531, 0.524531), (0.428571, 0.534522, 0.534522), (0.444444, 0.544331, 0.544331), (0.460317, 0.553966, 0.553966), (0.476190, 0.563436, 0.563436), (0.492063, 0.572750, 0.572750), (0.507937, 0.581914, 0.581914), (0.523810, 0.590937, 0.590937), (0.539683, 0.599824, 0.599824), (0.555556, 0.608581, 0.608581), (0.571429, 0.617213, 0.617213), (0.587302, 0.625727, 0.625727), (0.603175, 0.634126, 0.634126), (0.619048, 0.642416, 0.642416), (0.634921, 0.650600, 0.650600), (0.650794, 0.658682, 0.658682), (0.666667, 0.666667, 0.666667), (0.682540, 0.674556, 0.674556), (0.698413, 0.682355, 0.682355), (0.714286, 0.690066, 0.690066), (0.730159, 0.697691, 0.697691), (0.746032, 0.705234, 0.705234), (0.761905, 0.727166, 0.727166), (0.777778, 0.748455, 0.748455), (0.793651, 0.769156, 0.769156), (0.809524, 0.789314, 0.789314), (0.825397, 0.808969, 0.808969), (0.841270, 0.828159, 0.828159), (0.857143, 0.846913, 0.846913), (0.873016, 0.865261, 0.865261), (0.888889, 0.883229, 0.883229), (0.904762, 0.900837, 0.900837), (0.920635, 0.918109, 0.918109), (0.936508, 0.935061, 0.935061), (0.952381, 0.951711, 0.951711), (0.968254, 0.968075, 0.968075), (0.984127, 0.984167, 0.984167), (1.0, 1.0, 1.0), ), } _prism_data = { "red": ( (0.0, 1.0, 1.0), (0.031746, 1.000000, 1.000000), (0.047619, 0.000000, 0.000000), (0.063492, 0.000000, 0.000000), (0.079365, 0.666667, 0.666667), (0.095238, 1.000000, 1.000000), (0.126984, 1.000000, 1.000000), (0.142857, 0.000000, 0.000000), (0.158730, 0.000000, 0.000000), (0.174603, 0.666667, 0.666667), (0.190476, 1.000000, 1.000000), (0.222222, 1.000000, 1.000000), (0.238095, 0.000000, 0.000000), (0.253968, 0.000000, 0.000000), (0.269841, 0.666667, 0.666667), (0.285714, 1.000000, 1.000000), (0.317460, 1.000000, 1.000000), (0.333333, 0.000000, 0.000000), (0.349206, 0.000000, 0.000000), (0.365079, 0.666667, 0.666667), (0.380952, 1.000000, 1.000000), (0.412698, 1.000000, 1.000000), (0.428571, 0.000000, 0.000000), (0.444444, 0.000000, 0.000000), (0.460317, 0.666667, 0.666667), (0.476190, 1.000000, 1.000000), (0.507937, 1.000000, 1.000000), (0.523810, 0.000000, 0.000000), (0.539683, 0.000000, 0.000000), (0.555556, 0.666667, 0.666667), (0.571429, 1.000000, 1.000000), (0.603175, 1.000000, 1.000000), (0.619048, 0.000000, 0.000000), (0.634921, 0.000000, 0.000000), (0.650794, 0.666667, 0.666667), (0.666667, 1.000000, 1.000000), (0.698413, 1.000000, 1.000000), (0.714286, 0.000000, 0.000000), (0.730159, 0.000000, 0.000000), (0.746032, 0.666667, 0.666667), (0.761905, 1.000000, 1.000000), (0.793651, 1.000000, 1.000000), (0.809524, 0.000000, 0.000000), (0.825397, 0.000000, 0.000000), (0.841270, 0.666667, 0.666667), (0.857143, 1.000000, 1.000000), (0.888889, 1.000000, 1.000000), (0.904762, 0.000000, 0.000000), (0.920635, 0.000000, 0.000000), (0.936508, 0.666667, 0.666667), (0.952381, 1.000000, 1.000000), (0.984127, 1.000000, 1.000000), (1.0, 0.0, 0.0), ), "green": ( (0.0, 0.0, 0.0), (0.031746, 1.000000, 1.000000), (0.047619, 1.000000, 1.000000), (0.063492, 0.000000, 0.000000), (0.095238, 0.000000, 0.000000), (0.126984, 1.000000, 1.000000), (0.142857, 1.000000, 1.000000), (0.158730, 0.000000, 0.000000), (0.190476, 0.000000, 0.000000), (0.222222, 1.000000, 1.000000), (0.238095, 1.000000, 1.000000), (0.253968, 0.000000, 0.000000), (0.285714, 0.000000, 0.000000), (0.317460, 1.000000, 1.000000), (0.333333, 1.000000, 1.000000), (0.349206, 0.000000, 0.000000), (0.380952, 0.000000, 0.000000), (0.412698, 1.000000, 1.000000), (0.428571, 1.000000, 1.000000), (0.444444, 0.000000, 0.000000), (0.476190, 0.000000, 0.000000), (0.507937, 1.000000, 1.000000), (0.523810, 1.000000, 1.000000), (0.539683, 0.000000, 0.000000), (0.571429, 0.000000, 0.000000), (0.603175, 1.000000, 1.000000), (0.619048, 1.000000, 1.000000), (0.634921, 0.000000, 0.000000), (0.666667, 0.000000, 0.000000), (0.698413, 1.000000, 1.000000), (0.714286, 1.000000, 1.000000), (0.730159, 0.000000, 0.000000), (0.761905, 0.000000, 0.000000), (0.793651, 1.000000, 1.000000), (0.809524, 1.000000, 1.000000), (0.825397, 0.000000, 0.000000), (0.857143, 0.000000, 0.000000), (0.888889, 1.000000, 1.000000), (0.904762, 1.000000, 1.000000), (0.920635, 0.000000, 0.000000), (0.952381, 0.000000, 0.000000), (0.984127, 1.000000, 1.000000), (1.0, 1.0, 1.0), ), "blue": ( (0.0, 0.0, 0.0), (0.047619, 0.000000, 0.000000), (0.063492, 1.000000, 1.000000), (0.079365, 1.000000, 1.000000), (0.095238, 0.000000, 0.000000), (0.142857, 0.000000, 0.000000), (0.158730, 1.000000, 1.000000), (0.174603, 1.000000, 1.000000), (0.190476, 0.000000, 0.000000), (0.238095, 0.000000, 0.000000), (0.253968, 1.000000, 1.000000), (0.269841, 1.000000, 1.000000), (0.285714, 0.000000, 0.000000), (0.333333, 0.000000, 0.000000), (0.349206, 1.000000, 1.000000), (0.365079, 1.000000, 1.000000), (0.380952, 0.000000, 0.000000), (0.428571, 0.000000, 0.000000), (0.444444, 1.000000, 1.000000), (0.460317, 1.000000, 1.000000), (0.476190, 0.000000, 0.000000), (0.523810, 0.000000, 0.000000), (0.539683, 1.000000, 1.000000), (0.555556, 1.000000, 1.000000), (0.571429, 0.000000, 0.000000), (0.619048, 0.000000, 0.000000), (0.634921, 1.000000, 1.000000), (0.650794, 1.000000, 1.000000), (0.666667, 0.000000, 0.000000), (0.714286, 0.000000, 0.000000), (0.730159, 1.000000, 1.000000), (0.746032, 1.000000, 1.000000), (0.761905, 0.000000, 0.000000), (0.809524, 0.000000, 0.000000), (0.825397, 1.000000, 1.000000), (0.841270, 1.000000, 1.000000), (0.857143, 0.000000, 0.000000), (0.904762, 0.000000, 0.000000), (0.920635, 1.000000, 1.000000), (0.936508, 1.000000, 1.000000), (0.952381, 0.000000, 0.000000), (1.0, 0.0, 0.0), ), } _spring_data = { "red": ((0.0, 1.0, 1.0), (1.0, 1.0, 1.0)), "green": ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0)), "blue": ((0.0, 1.0, 1.0), (1.0, 0.0, 0.0)), } _summer_data = { "red": ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0)), "green": ((0.0, 0.5, 0.5), (1.0, 1.0, 1.0)), "blue": ((0.0, 0.4, 0.4), (1.0, 0.4, 0.4)), } _winter_data = { "red": ((0.0, 0.0, 0.0), (1.0, 0.0, 0.0)), "green": ((0.0, 0.0, 0.0), (1.0, 1.0, 1.0)), "blue": ((0.0, 1.0, 1.0), (1.0, 0.5, 0.5)), } _spectral_data = { "red": [ (0.0, 0.0, 0.0), (0.05, 0.4667, 0.4667), (0.10, 0.5333, 0.5333), (0.15, 0.0, 0.0), (0.20, 0.0, 0.0), (0.25, 0.0, 0.0), (0.30, 0.0, 0.0), (0.35, 0.0, 0.0), (0.40, 0.0, 0.0), (0.45, 0.0, 0.0), (0.50, 0.0, 0.0), (0.55, 0.0, 0.0), (0.60, 0.0, 0.0), (0.65, 0.7333, 0.7333), (0.70, 0.9333, 0.9333), (0.75, 1.0, 1.0), (0.80, 1.0, 1.0), (0.85, 1.0, 1.0), (0.90, 0.8667, 0.8667), (0.95, 0.80, 0.80), (1.0, 0.80, 0.80), ], "green": [ (0.0, 0.0, 0.0), (0.05, 0.0, 0.0), (0.10, 0.0, 0.0), (0.15, 0.0, 0.0), (0.20, 0.0, 0.0), (0.25, 0.4667, 0.4667), (0.30, 0.6000, 0.6000), (0.35, 0.6667, 0.6667), (0.40, 0.6667, 0.6667), (0.45, 0.6000, 0.6000), (0.50, 0.7333, 0.7333), (0.55, 0.8667, 0.8667), (0.60, 1.0, 1.0), (0.65, 1.0, 1.0), (0.70, 0.9333, 0.9333), (0.75, 0.8000, 0.8000), (0.80, 0.6000, 0.6000), (0.85, 0.0, 0.0), (0.90, 0.0, 0.0), (0.95, 0.0, 0.0), (1.0, 0.80, 0.80), ], "blue": [ (0.0, 0.0, 0.0), (0.05, 0.5333, 0.5333), (0.10, 0.6000, 0.6000), (0.15, 0.6667, 0.6667), (0.20, 0.8667, 0.8667), (0.25, 0.8667, 0.8667), (0.30, 0.8667, 0.8667), (0.35, 0.6667, 0.6667), (0.40, 0.5333, 0.5333), (0.45, 0.0, 0.0), (0.5, 0.0, 0.0), (0.55, 0.0, 0.0), (0.60, 0.0, 0.0), (0.65, 0.0, 0.0), (0.70, 0.0, 0.0), (0.75, 0.0, 0.0), (0.80, 0.0, 0.0), (0.85, 0.0, 0.0), (0.90, 0.0, 0.0), (0.95, 0.0, 0.0), (1.0, 0.80, 0.80), ], } datad = { "autumn": _autumn_data, "bone": _bone_data, "binary": _binary_data, "cool": _cool_data, "copper": _copper_data, "flag": _flag_data, "gray": _gray_data, "hot": _hot_data, "hsv": _hsv_data, "jet": _jet_data, "pink": _pink_data, "prism": _prism_data, "spring": _spring_data, "summer": _summer_data, "winter": _winter_data, "spectral": _spectral_data, } # 34 colormaps based on color specifications and designs # developed by Cynthia Brewer (http://colorbrewer.org). # The ColorBrewer palettes have been included under the terms # of an Apache-stype license (for details, see the file # LICENSE_COLORBREWER in the license directory of the matplotlib # source distribution). _Accent_data = { "blue": [ (0.0, 0.49803921580314636, 0.49803921580314636), (0.14285714285714285, 0.83137255907058716, 0.83137255907058716), (0.2857142857142857, 0.52549022436141968, 0.52549022436141968), (0.42857142857142855, 0.60000002384185791, 0.60000002384185791), (0.5714285714285714, 0.69019609689712524, 0.69019609689712524), (0.7142857142857143, 0.49803921580314636, 0.49803921580314636), (0.8571428571428571, 0.090196080505847931, 0.090196080505847931), (1.0, 0.40000000596046448, 0.40000000596046448), ], "green": [ (0.0, 0.78823530673980713, 0.78823530673980713), (0.14285714285714285, 0.68235296010971069, 0.68235296010971069), (0.2857142857142857, 0.75294119119644165, 0.75294119119644165), 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Munro. # They are released under a BSD-like license (see LICENSE_YORICK in # the license directory of the matplotlib source distribution). _gist_earth_data = { "blue": [ (0.0, 0.0, 0.0), (0.0042016808874905109, 0.18039216101169586, 0.18039216101169586), (0.0084033617749810219, 0.22745098173618317, 0.22745098173618317), (0.012605042196810246, 0.27058824896812439, 0.27058824896812439), (0.016806723549962044, 0.31764706969261169, 0.31764706969261169), (0.021008403971791267, 0.36078432202339172, 0.36078432202339172), (0.025210084393620491, 0.40784314274787903, 0.40784314274787903), (0.029411764815449715, 0.45490196347236633, 0.45490196347236633), (0.033613447099924088, 0.45490196347236633, 0.45490196347236633), (0.037815127521753311, 0.45490196347236633, 0.45490196347236633), (0.042016807943582535, 0.45490196347236633, 0.45490196347236633), (0.046218488365411758, 0.45490196347236633, 0.45490196347236633), (0.050420168787240982, 0.45882353186607361, 0.45882353186607361), 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0.08235294371843338, 0.08235294371843338), (0.92436975240707397, 0.078431375324726105, 0.078431375324726105), (0.92857140302658081, 0.074509806931018829, 0.074509806931018829), (0.93277311325073242, 0.070588238537311554, 0.070588238537311554), (0.93697476387023926, 0.066666670143604279, 0.066666670143604279), (0.94117647409439087, 0.062745101749897003, 0.062745101749897003), (0.94537812471389771, 0.058823529630899429, 0.058823529630899429), (0.94957983493804932, 0.054901961237192154, 0.054901961237192154), (0.95378148555755615, 0.050980392843484879, 0.050980392843484879), (0.95798319578170776, 0.047058824449777603, 0.047058824449777603), (0.9621848464012146, 0.043137256056070328, 0.043137256056070328), (0.96638655662536621, 0.039215687662363052, 0.039215687662363052), (0.97058820724487305, 0.035294119268655777, 0.035294119268655777), (0.97478991746902466, 0.031372550874948502, 0.031372550874948502), (0.97899156808853149, 0.023529412224888802, 0.023529412224888802), (0.98319327831268311, 0.019607843831181526, 0.019607843831181526), (0.98739492893218994, 0.015686275437474251, 0.015686275437474251), (0.99159663915634155, 0.011764706112444401, 0.011764706112444401), (0.99579828977584839, 0.0078431377187371254, 0.0078431377187371254), (1.0, 0.0039215688593685627, 0.0039215688593685627), ], } datad["Accent"] = _Accent_data datad["Blues"] = _Blues_data datad["BrBG"] = _BrBG_data datad["BuGn"] = _BuGn_data datad["BuPu"] = _BuPu_data datad["Dark2"] = _Dark2_data datad["GnBu"] = _GnBu_data datad["Greens"] = _Greens_data datad["Greys"] = _Greys_data datad["Oranges"] = _Oranges_data datad["OrRd"] = _OrRd_data datad["Paired"] = _Paired_data datad["Pastel1"] = _Pastel1_data datad["Pastel2"] = _Pastel2_data datad["PiYG"] = _PiYG_data datad["PRGn"] = _PRGn_data datad["PuBu"] = _PuBu_data datad["PuBuGn"] = _PuBuGn_data datad["PuOr"] = _PuOr_data datad["PuRd"] = _PuRd_data datad["Purples"] = _Purples_data datad["RdBu"] = _RdBu_data datad["RdGy"] = _RdGy_data datad["RdPu"] = _RdPu_data datad["RdYlBu"] = _RdYlBu_data datad["RdYlGn"] = _RdYlGn_data datad["Reds"] = _Reds_data datad["Set1"] = _Set1_data datad["Set2"] = _Set2_data datad["Set3"] = _Set3_data datad["Spectral"] = _Spectral_data datad["YlGn"] = _YlGn_data datad["YlGnBu"] = _YlGnBu_data datad["YlOrBr"] = _YlOrBr_data datad["YlOrRd"] = _YlOrRd_data datad["gist_earth"] = _gist_earth_data datad["gist_gray"] = _gist_gray_data datad["gist_heat"] = _gist_heat_data datad["gist_ncar"] = _gist_ncar_data datad["gist_rainbow"] = _gist_rainbow_data datad["gist_stern"] = _gist_stern_data datad["gist_yarg"] = _gist_yarg_data PlotPyStack-PlotPy-2af0906/colormaps/colormap.py000066400000000000000000000056361525747167300217250ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Colormap utilities ------------------ """ from __future__ import annotations import _cm import numpy as np from qtpy import QtGui as QG from qwt import QwtInterval from plotpy.mathutils.colormap import ( DEFAULT_COLORMAPS, DEFAULT_COLORMAPS_PATH, save_colormaps, ) from plotpy.widgets.colormap.widget import EditableColormap # Reuse matplotlib data # usefull to obtain a full color map FULLRANGE = QwtInterval(0.0, 1.0) COLORMAPS = {} EXTRA_COLORMAPS = [] # custom build colormaps ICON_CACHE = {} def _interpolate(val, vmin, vmax): """Interpolate a color component between to values as provided by matplotlib colormaps """ interp = (val - vmin[0]) / (vmax[0] - vmin[0]) return (1 - interp) * vmin[1] + interp * vmax[2] def _setup_colormap(cmap: EditableColormap, cmdata): """Setup a CustomQwtLinearColorMap according to matplotlib's data """ red = np.array(cmdata["red"]) green = np.array(cmdata["green"]) blue = np.array(cmdata["blue"]) qmin = QG.QColor() qmin.setRgbF(red[0, 2], green[0, 2], blue[0, 2]) qmax = QG.QColor() qmax.setRgbF(red[-1, 2], green[-1, 2], blue[-1, 2]) cmap.setColorInterval(qmin, qmax) indices = sorted(set(red[:, 0]) | set(green[:, 0]) | set(blue[:, 0])) for i in indices[1:-1]: idxr = red[:, 0].searchsorted(i) idxg = green[:, 0].searchsorted(i) idxb = blue[:, 0].searchsorted(i) compr = _interpolate(i, red[idxr - 1], red[idxr]) compg = _interpolate(i, green[idxg - 1], green[idxg]) compb = _interpolate(i, blue[idxb - 1], blue[idxb]) col = QG.QColor() col.setRgbF(compr, compg, compb) cmap.addColorStop(i, col) def get_cmap(name: str) -> EditableColormap: """Get a colormap from its name Args: name: colormap name Returns: Return a QwtColormap based on matplotlib's colormap of the same name We avoid rebuilding the cmap by keeping it in cache """ if name in COLORMAPS: return COLORMAPS[name] colormap = EditableColormap() COLORMAPS[name] = colormap COLORMAPS[colormap] = name data = getattr(_cm, "_" + name + "_data") _setup_colormap(colormap, data) return colormap def get_colormap_list() -> list[str]: """Builds a list of available colormaps by introspection of the _cm module Returns: list of colormap names """ cmlist = [] cmlist += EXTRA_COLORMAPS for name in dir(_cm): if name.endswith("_data"): obj = getattr(_cm, name) if isinstance(obj, dict): cmlist.append(name[1:-5]) return cmlist if __name__ == "__main__": for cmap in get_colormap_list(): DEFAULT_COLORMAPS[cmap] = get_cmap(cmap) save_colormaps(DEFAULT_COLORMAPS_PATH, DEFAULT_COLORMAPS) PlotPyStack-PlotPy-2af0906/colormaps/matplotlib_cmaps.py000066400000000000000000000215431525747167300234360ustar00rootroot00000000000000from __future__ import annotations import copy import sys from typing import Callable import matplotlib.colors as pltc import matplotlib.pyplot as plt import numpy as np from plotpy.mathutils.colormap import ( DEFAULT_COLORMAPS, DEFAULT_COLORMAPS_PATH, CmapDictType, EditableColormap, save_colormaps, ) PERCEPTUALLY_UNIFORM_CMAPS = ["viridis", "plasma", "inferno", "magma", "cividis"] SEQUENTIAL_CMAPS = [ "Greys", "Purples", "Blues", "Greens", "Oranges", "Reds", "YlOrBr", "YlOrRd", "OrRd", "PuRd", "RdPu", "BuPu", "GnBu", "PuBu", "YlGnBu", "PuBuGn", "BuGn", "YlGn", ] SEQUENTIAL_CMAPS2 = [ "binary", "gist_yarg", "gist_gray", "gray", "bone", "pink", "spring", "summer", "autumn", "winter", "cool", "Wistia", "hot", "afmhot", "gist_heat", "copper", ] DIVERGING_CMAPS = [ "PiYG", "PRGn", "BrBG", "PuOr", "RdGy", "RdBu", "RdYlBu", "RdYlGn", "Spectral", "coolwarm", "bwr", "seismic", ] CYCLIC_CMAPS = ["twilight", "twilight_shifted", "hsv"] QUALITATIVE_CMAPS = [ "Pastel1", "Pastel2", "Paired", "Accent", "Dark2", "Set1", "Set2", "Set3", "tab10", "tab20", "tab20b", "tab20c", ] MISCELLANEOUS_CMAPS = [ "flag", "prism", "ocean", "gist_earth", "terrain", "gist_stern", "gnuplot", "gnuplot2", "CMRmap", "cubehelix", "brg", "gist_rainbow", "rainbow", "jet", "turbo", "nipy_spectral", "gist_ncar", ] SORTED_MATPLOTLIB_COLORMAPS: list[str] = [ *PERCEPTUALLY_UNIFORM_CMAPS, *SEQUENTIAL_CMAPS, *SEQUENTIAL_CMAPS2, *DIVERGING_CMAPS, *CYCLIC_CMAPS, *QUALITATIVE_CMAPS, *MISCELLANEOUS_CMAPS, ] def rgb_colors_to_hex_list( colors: list[tuple[int, int, int]], ) -> list[tuple[float, str]]: """Convert a list of RGB colors to a list of tuples with the position of the color and the color in hex format. Positions evenly distributed between 0 and 1. Args: colors: list of RGB colors Returns: list of tuples with the position of the color and the color in hex format """ return [(i / len(colors), pltc.to_hex(color)) for i, color in enumerate(colors)] def _interpolate( val: float, vmin: tuple[float, float, float], vmax: tuple[float, float, float] ): """Interpolate between two level of a color. Args: val: value to interpolate vmin: R, G or B tuple from a matplotlib segmented colormap vmax: R, G or B tuple from matplotlib segmented colormap Returns: The interpolated R, G or B component """ interp = (val - vmin[0]) / (vmax[0] - vmin[0]) return (1 - interp) * vmin[1] + interp * vmax[2] def std_segmented_cmap_to_hex_list(cmdata: dict[str, list[tuple[float, float, float]]]): """Convert a matplotlib segmented colormap to a list of tuples with the position of the color and the color in hex format. Args: cmdata: segmented colormap data Returns: list of tuples with the position of the color and the color in hex format """ colors: list[tuple[float, str]] = [] red = np.array(cmdata["red"]) green = np.array(cmdata["green"]) blue = np.array(cmdata["blue"]) indices = sorted(set(red[:, 0]) | set(green[:, 0]) | set(blue[:, 0])) for i in indices: idxr = red[:, 0].searchsorted(i) idxg = green[:, 0].searchsorted(i) idxb = blue[:, 0].searchsorted(i) compr = _interpolate(i, red[idxr - 1], red[idxr]) compg = _interpolate(i, green[idxg - 1], green[idxg]) compb = _interpolate(i, blue[idxb - 1], blue[idxb]) colors.append((i, pltc.to_hex((compr, compg, compb)))) return colors InterpFuncT = Callable[[np.ndarray], np.ndarray] def func_segmented_cmap_to_hex_list( n: int, cmap: pltc.LinearSegmentedColormap, ) -> list[tuple[float, str]]: """Convert a matplotlib segmented colormap to a list of tuples with the position of the color and the color in hex format. The input colormap contains function for each color RGB component instead of a list of colors. Args: n: number of colors to generate cmap: segmented colormap Returns: list of tuples with the position of the color and the color in hex format """ colors = [] arr = np.linspace(0, 1, n, dtype=float) colors = [(i, pltc.to_hex(rgba)) for i, rgba in zip(arr, cmap(arr))] return colors def continuous_to_descrete_cmap(cmap: EditableColormap) -> EditableColormap: """Convert a continuous colormap to a descrete one. Args: cmap: colormap to convert Returns: descrete colormap """ raw_cmap: tuple[tuple[float, str], ...] = cmap.to_tuples() new_raw_cmap: list[tuple[float, str]] = [raw_cmap[0]] n = len(raw_cmap) coeff = (n - 1) / n for i, (pos, color) in enumerate(raw_cmap[1:]): prev_pos, prev_color = raw_cmap[i] curr_pos, curr_color = pos, color new_pos = curr_pos * coeff new_raw_cmap.append((new_pos, prev_color)) new_raw_cmap.append((new_pos, curr_color)) new_raw_cmap.append(raw_cmap[-1]) return EditableColormap.from_iterable(new_raw_cmap, name=cmap.name) def sort_mpl_colormaps(colormaps: CmapDictType) -> CmapDictType: """Filter and sort input colormaps to follow the same order (by category) as in the matplotlib colormaps documentation. Colormaps not found in the matplotlib are filtered out. Args: colormaps: Dictionnary of colormaps to extract and order Returns: Filtered and sorted colormaps dictionnary """ ordered_colormaps: CmapDictType = {} lower_cmap_names = [cm.lower() for cm in SORTED_MATPLOTLIB_COLORMAPS] for lower_name in lower_cmap_names: cmap = colormaps.get(lower_name, None) if lower_name.endswith("_r"): continue if cmap is None: print(f"Colormap {lower_name} not found in input colormaps.") continue ordered_colormaps[lower_name] = cmap return ordered_colormaps def append_non_mpl_colormaps(mpl_colormaps: CmapDictType, colormaps: CmapDictType): """Append colormaps not found in the matplotlib colormaps to the input colormaps. Mutate the input in place. Args: mpl_colormaps: dictionnary of matplotlib colormaps. Mutated in place. colormaps: dictionnary of colormaps to append to the matplotlib colormaps """ colormap_names = set(SORTED_MATPLOTLIB_COLORMAPS) for colormap in colormaps.values(): if colormap.name not in colormap_names: print(f"{colormap} not in matplotlib colormaps.") mpl_colormaps[colormap.name.lower()] = colormap def main(cmaps: CmapDictType, out_json_path: str = DEFAULT_COLORMAPS_PATH): new_cmaps: dict[str, list[tuple[float, str]]] = {} # Uniform colormaps with a .colors attribute that return a list of RGB colors cmaps_with_colors = [ "magma", "viridis", "inferno", "plasma", "cividis", ] # Discrete colormaps, same as uniform colormaps but the colormap must be post # processed to become descrete descrete_cmaps = [ "Pastel1", "Pastel2", "Paired", "Accent", "Dark2", "Set1", "Set2", "Set3", ] cmaps_with_colors.extend(descrete_cmaps) # Colormaps with a _segmented_data attribute that contains the R, G and B components # as lists of tuples segmented_cmaps = [ "coolwarm", "bwr", "seismic", ] # Colormaps with a _segmentdata attribute that contains the R, G and B components as # functions that return the color for a given position interp_cmaps = ["gnuplot2", "CMRmap", "rainbow", "turbo", "afmhot"] for cm_name in cmaps_with_colors: cmap = plt.get_cmap(cm_name) new_cmaps[cm_name] = rgb_colors_to_hex_list(cmap.colors) for cm_name in descrete_cmaps: cmap = EditableColormap.from_iterable(new_cmaps[cm_name], name=cm_name) new_cmaps[cm_name] = list(continuous_to_descrete_cmap(cmap).to_tuples()) for cm_name in segmented_cmaps: cmap = plt.get_cmap(cm_name) new_cmaps[cm_name] = std_segmented_cmap_to_hex_list(cmap._segmentdata) n = 128 for cm_name in interp_cmaps: cmap = plt.get_cmap(cm_name) new_cmaps[cm_name] = func_segmented_cmap_to_hex_list(n, cmap) for name, raw_cm in new_cmaps.items(): cmaps[name.lower()] = EditableColormap.from_iterable(raw_cm, name=name) ordered_cmaps = sort_mpl_colormaps(cmaps) append_non_mpl_colormaps(ordered_cmaps, cmaps) 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extensions = [ "sphinx.ext.autodoc", "myst_parser", "sphinx.ext.todo", "sphinx.ext.viewcode", "sphinx.ext.intersphinx", "sphinx.ext.napoleon", "sphinx_qt_documentation", "sphinx.ext.mathjax", ] templates_path = ["_templates"] source_suffix = ".rst" master_doc = "index" exclude_patterns = [] pygments_style = "sphinx" html_theme = "python_docs_theme" html_title = "%s %s Manual" % (project, version) html_short_title = "%s Manual" % project html_logo = "images/plotpy-vertical.png" html_favicon = "_static/favicon.ico" html_static_path = ["_static"] htmlhelp_basename = "plotpy" latex_documents = [(master_doc, "Plotpy.tex", "Plotpy Documentation", "CEA", "manual")] man_pages = [(master_doc, "plotpy", "Plotpy Documentation", [author], 1)] texinfo_documents = [ ( master_doc, "Plotpy", "Plotpy Documentation", author, "Plotpy", "One line description of project.", "Miscellaneous", ) ] autodoc_default_options = { "member-order": "bysource", } # -- Options for todo extension ---------------------------------------------- todo_include_todos = True intersphinx_mapping = { "python": ("https://docs.python.org/3", None), "qwt": ("https://pythonqwt.readthedocs.io/en/latest/", None), "matplotlib": ("https://matplotlib.org/stable/", None), "numpy": ("https://numpy.org/doc/stable/", None), "scipy": ("https://docs.scipy.org/doc/scipy/", None), "guidata": ("https://guidata.readthedocs.io/en/latest/", None), "guiqwt": ("https://guiqwt.readthedocs.io/en/latest/", None), "h5py": ("https://docs.h5py.org/en/stable/", None), } nitpicky = True suppress_warnings = [""] nitpick_ignore_regex = [("py:attr", r"BasePlot.SIG_.*")] PlotPyStack-PlotPy-2af0906/doc/dev/000077500000000000000000000000001525747167300170515ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/doc/dev/build.rst000066400000000000000000000017131525747167300207040ustar00rootroot00000000000000How to build, test and deploy ----------------------------- Build instructions ^^^^^^^^^^^^^^^^^^ To build the wheel, you need: * Python * numpy * Cython * A C++ compiler like gcc or `Build Tools for Visual Studio 2017 `_ Then run the following command:: python setup.py bdist_wheel It should generate a ``.whl`` file in the `dist` directory. Running unittests ^^^^^^^^^^^^^^^^^ To run the unittests, you need: * Python * pytest * coverage (optional) Then run the following command:: pytest plotpy To run test with coverage support, use the following command:: pytest -v --cov --cov-report=html plotpy Code formatting ^^^^^^^^^^^^^^^ The code is formatted with `ruff `_. If you are using `Visual Studio Code `_, the formatting is done automatically when you save a file, thanks to the project settings in the `.vscode` directory. PlotPyStack-PlotPy-2af0906/doc/dev/contribute.rst000066400000000000000000000075501525747167300217700ustar00rootroot00000000000000How to contribute ----------------- Coding guidelines ^^^^^^^^^^^^^^^^^ In general, we try to follow the standard Python coding guidelines, which cover all the important coding aspects (docstrings, comments, naming conventions, import statements, ...) as described here: * `Style Guide for Python Code `_ The easiest way to check that your code is following those guidelines is to run `pylint` (a note greater than 9/10 seems to be a reasonable goal). Moreover, the following guidelines should be followed: * Write docstrings for all classes, methods and functions. The docstrings should follow the `Google style `_. * Add typing annotations for all functions and methods. The annotations should use the future syntax (``from __future__ import annotations``) and the ``if TYPE_CHECKING`` pattern to avoid circular imports (see `PEP 484 `_). .. note:: To ensure that types are properly referenced by ``sphinx`` in the documentation, you may need to import the individual types for Qt (e.g. ``from qtpy.QtCore import QRectF``) instead of importing the whole module (e.g. ``from qtpy import QtCore as QC``): this is a limitation of ``sphinx-qt-documentation`` extension. As for objects provided by the ``PythonQwt`` package, you may need to import the module itself (e.g. ``import qwt.scale_map``, then ``qwt.scale_map.QwtScaleMap``) instead of importing the individual types (e.g. ``from qwt.scale_map import QwtScaleMap``): this is a limitation of ``intersphinx`` extension. * Try to keep the code as simple as possible. If you have to write a complex piece of code, try to split it into several functions or classes. * Add as many comments as possible. The code should be self-explanatory, but it is always useful to add some comments to explain the general idea of the code, or to explain some tricky parts. * Do not use ``from module import *`` statements, even in the ``__init__`` module of a package. * Avoid using mixins (multiple inheritance) when possible. It is often possible to use composition instead of inheritance. * Avoid using ``__getattr__`` and ``__setattr__`` methods. They are often used to implement lazy initialization, but this can be done in a more explicit way. Submitting patches ^^^^^^^^^^^^^^^^^^ Check-list ~~~~~~~~~~ Before submitting a patch, please check the following points: * The code follows the coding guidelines described above. * Build the documentation and check that it is correctly generated. *No warning should be displayed.* * Run pylint on the code and check that there is no error: .. code-block:: bash pylint --disable=fixme,C,R,W plotpy * Run the tests and check that they all pass: .. code-block:: bash pytest plotpy Pull request ~~~~~~~~~~~~ If you want to contribute to the project, you can submit a patch. The recommended way to do this is to fork the project on GitHub, create a branch for your modifications and then send a pull request. The pull request will be reviewed and merged if it is accepted. Setting up development environment ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ If you want to contribute to the project, you will probably want to set up a development environment. The easiest way to do this is to use `virtualenv `_ and `pip `_. Visual Studio Code `.env` file: * This file is used to set environment variables for the application. It is used to set the ``PYTHONPATH`` environment variable to the root of the project. This is required to be able to import the project modules from within Visual Studio Code. To create this file, copy the ``.env.template`` file to ``.env`` (and eventually add your own paths). PlotPyStack-PlotPy-2af0906/doc/dev/gitworkflow.rst000066400000000000000000000206671525747167300221740ustar00rootroot00000000000000.. _gitworkflow: Git Workflow ============ This document describes the Git workflow used in the PlotPy project, based on a ``master`` branch, a ``develop`` branch, and feature-specific branches. It also defines how bug fixes are managed. .. note:: This workflow is a simplified version of the `Gitflow Workflow `_. It has been adapted to suit the needs of the PlotPy project at the current stage of development. Branching Model --------------- Main Branches ^^^^^^^^^^^^^ - ``master``: Represents the stable, production-ready version of the project. - ``develop``: Used for ongoing development and integration of new features. Feature Branches ^^^^^^^^^^^^^^^^ - ``feature/feature_name``: Used for the development of new features. - Created from ``develop``. - Merged back into ``develop`` once completed. - Deleted after merging. Release Branch ^^^^^^^^^^^^^^ - ``release``: Represents the current maintenance line for patch releases. - Created from ``master`` after a stable release when the first patch is needed. - Accepts ``fix/xxx`` and ``hotfix/xxx`` branch merges. - Merged back into ``master`` for each patch release tag (e.g., 2.8.1, 2.8.2). - Reset or recreated when starting a new minor/major release cycle. .. note:: The ``release`` branch is not versioned (no ``release/2.8.x``). It always represents "the current maintenance line." When a new minor version is released (e.g., 2.9.0), the old ``release`` branch is deleted and a new one is created from the fresh tag when the first patch for 2.9.1 is needed. Bug Fix Branches ^^^^^^^^^^^^^^^^ - ``fix/xxx``: Used for general bug fixes that are not urgent. - Created from ``develop`` (for next feature release) or ``release`` (for patch release). - Merged back into the originating branch once completed. - Deleted after merging. - ``hotfix/xxx``: Used for urgent production-critical fixes. - Created from ``release`` (if exists) or ``master`` (if no ``release`` branch yet). - Merged back into ``release`` or ``master``. - The fix is then cherry-picked into ``develop``. - Deleted after merging. .. note:: Hotfixes (high-priority fixes) will be integrated in the next maintenance release (X.Y.Z -> Z+1), while fixes (low-priority fixes) will be integrated in the next feature release (X.Y -> Y+1). Documentation Branches ---------------------- When working on documentation that is not related to source code (e.g. training materials, user guides), branches should be named using the ``doc/`` prefix. Examples: - ``doc/training-materials`` - ``doc/user-guide`` This naming convention improves clarity by clearly separating documentation efforts from code-related development (features, fixes, etc.). Workflow for New Features ------------------------- 1. Create a new feature branch from ``develop``: .. code-block:: sh git checkout develop git checkout -b develop/feature_name 2. Develop the feature and commit changes. 3. Merge the feature branch back into ``develop``: .. code-block:: sh git checkout develop git merge --no-ff develop/feature_name 4. Delete the feature branch: .. code-block:: sh git branch -d develop/feature_name .. warning:: Do not leave feature branches unmerged for too long. Regularly rebase them on ``develop`` to minimize conflicts. Workflow for Regular Bug Fixes ------------------------------ For next feature release (target: ``develop``): 1. Create a bug fix branch from ``develop``: .. code-block:: sh git checkout develop git checkout -b fix/bug_description 2. Apply the fix and commit changes. 3. Merge the fix branch back into ``develop``: .. code-block:: sh git checkout develop git merge --no-ff fix/bug_description 4. Delete the fix branch: .. code-block:: sh git branch -d fix/bug_description For current maintenance release (target: ``release``): 1. Create a bug fix branch from ``release``: .. code-block:: sh git checkout release git checkout -b fix/bug_description 2. Apply the fix and commit changes. 3. Merge the fix branch back into ``release``: .. code-block:: sh git checkout release git merge --no-ff fix/bug_description 4. Delete the fix branch: .. code-block:: sh git branch -d fix/bug_description .. warning:: Do not create a ``fix/xxx`` branch from a ``develop/feature_name`` branch. Always branch from ``develop`` or ``release`` to ensure fixes are correctly propagated. .. code-block:: sh # Incorrect: git checkout develop/feature_name git checkout -b fix/wrong_branch .. code-block:: sh # Correct: git checkout develop git checkout -b fix/correct_branch Workflow for Critical Hotfixes ------------------------------ 1. Create a hotfix branch from ``release`` (or ``master`` if no ``release`` branch exists): .. code-block:: sh git checkout release # or: git checkout master git checkout -b hotfix/critical_bug 2. Apply the fix and commit changes. 3. Merge the fix back into ``release`` (or ``master``): .. code-block:: sh git checkout release # or: git checkout master git merge --no-ff hotfix/critical_bug 4. Cherry-pick the fix into ``develop``: .. code-block:: sh git checkout develop git cherry-pick 5. Delete the hotfix branch: .. code-block:: sh git branch -d hotfix/critical_bug .. warning:: Do not merge ``fix/xxx`` or ``hotfix/xxx`` directly into ``master`` without following the workflow. Ensure hotfixes are cherry-picked into ``develop`` to avoid losing fixes in future releases. Workflow for Patch Releases ---------------------------- When ready to release a patch version (e.g., 2.8.1, 2.8.2): 1. Ensure the ``release`` branch contains all desired fixes. 2. Merge ``release`` into ``master``: .. code-block:: sh git checkout master git merge --no-ff release 3. Tag the release on ``master``: .. code-block:: sh git tag -a v2.8.1 -m "Release version 2.8.1" git push origin master --tags 4. Keep the ``release`` branch for additional patches in the same minor version series. Workflow for Minor/Major Releases ---------------------------------- When ready to release a new minor or major version (e.g., 2.9.0, 3.0.0): 1. Merge ``develop`` into ``master``: .. code-block:: sh git checkout master git merge --no-ff develop 2. Tag the release on ``master``: .. code-block:: sh git tag -a v2.9.0 -m "Release version 2.9.0" git push origin master --tags 3. Delete the old ``release`` branch (if exists): .. code-block:: sh git branch -d release git push origin --delete release 4. Create a new ``release`` branch from ``master`` when the first patch for 2.9.1 is needed: .. code-block:: sh git checkout master git checkout -b release git push -u origin release Best Practices -------------- - Regularly **rebase feature branches** on ``develop`` to stay up to date: .. code-block:: sh git checkout develop/feature_name git rebase develop - Avoid long-lived branches to minimize merge conflicts. - Ensure bug fixes in ``release`` or ``master`` are **always cherry-picked** to ``develop``. - Clearly differentiate between ``fix/xxx`` (non-urgent fixes) and ``hotfix/xxx`` (critical production fixes). - When creating the ``release`` branch, update release notes to indicate which version it targets (e.g., add a comment in the merge commit: "Create release branch for v2.8.x maintenance"). - The ``release`` branch always represents the current maintenance line. To know which version it targets, check the most recent tag on ``master`` or the release notes. Takeaway -------- This workflow ensures a structured yet flexible development process while keeping ``master`` stable and ``develop`` always updated with the latest changes. The ``release`` branch provides a dedicated maintenance line for patch releases, allowing ``develop`` to proceed with new features without interference. This solves the problem of coordinating unreleased changes across the PlotPyStack ecosystem (DataLab, Sigima, PlotPy, guidata, PythonQwt) by providing a stable branch for CI testing during maintenance cycles. PlotPyStack-PlotPy-2af0906/doc/dev/guiqwt_to_plotpy.csv000066400000000000000000000106201525747167300232160ustar00rootroot00000000000000guiqwt v4,PlotPy v2,API changes ``guiqwt.events``,``plotpy.events`` ``guiqwt.interfaces``,``plotpy.interfaces`` ``guiqwt.io``,``plotpy.io`` ``guiqwt.io.eliminate_outliers``,*removed*,"Use ``numpy.histogram``, ``plotpy.lutrange.hist_range_threshold`` and ``numpy.clip``" ``guiqwt.config``,``plotpy.config`` ``guiqwt.transitional``,``qwt``,Import Qwt classes directly from the ``qwt`` package (PythonQwt) ``guiqwt.signals``,*removed*,"Signals are attributes of the emitting classes (e.g. ``BasePlot.SIG_ITEM_REMOVED``)" ``guiqwt.builder``,``plotpy.builder`` ``guiqwt.builder.PlotItemBuilder``,``plotpy.builder.PlotBuilder``,See `New options added to plot builder`_ ``guiqwt.panels``,``plotpy.panels`` ``guiqwt.annotations``,``plotpy.items`` ``guiqwt.curve``,``plotpy.items`` ``guiqwt.image``,``plotpy.items`` ``guiqwt.label``,``plotpy.items`` ``guiqwt.shapes``,``plotpy.items`` ``guiqwt.histogram.HistogramItem``,``plotpy.items.HistogramItem`` ``guiqwt.histogram.HistDataSource``,``plotpy.items.histogram.HistDataSource`` ``guiqwt.histogram.hist_range_threshold``,``plotpy.lutrange.hist_range_threshold`` ``guiqwt.histogram.lut_range_threshold``,``plotpy.lutrange.lut_range_threshold`` ``guiqwt.histogram.ContrastAdjustment``,``plotpy.panels.contrastadjustment.ContrastAdjustment`` ``guiqwt.histogram.LevelsHistogram``,``plotpy.panels.contrastadjustment.LevelsHistogram`` ``guiqwt.image.get_items_in_rectangle``,``plotpy.items.get_items_in_rectangle`` ``guiqwt.curve.PlotItemList``,``plotpy.panels.itemlist.PlotItemList`` ``guiqwt.cross_section.CrossSectionWidget``,``plotpy.panels.csection.cswidget.CrossSectionWidget`` ``guiqwt.cross_section.XCrossSection``,``plotpy.panels.csection.cswidget.XCrossSection`` ``guiqwt.cross_section.YCrossSection``,``plotpy.panels.csection.cswidget.YCrossSection`` ``guiqwt.cross_section.ObliqueCrossSection``,``plotpy.panels.csection.cswidget.ObliqueCrossSection`` ``guiqwt.plot.PlotManager``,``plotpy.plot.PlotManager`` ``guiqwt.plot.CurveWindow``,``plotpy.plot.PlotWindow``,See `Generic PlotWidgets`_ ``guiqwt.plot.ImageWindow``,``plotpy.plot.PlotWindow``,See `Generic PlotWidgets`_ ``guiqwt.plot.BaseImageWidget``,``plotpy.plot.plotwidget.BasePlotWidget``,See `Generic PlotWidgets`_ ``guiqwt.plot.CurveWidget``,``plotpy.plot.PlotWidget``,See `Generic PlotWidgets`_ ``guiqwt.plot.ImageWidget``,``plotpy.plot.PlotWidget``,See `Generic PlotWidgets`_ ``guiqwt.plot.CurveWidgetMixin``,*removed*,See `Generic PlotWidgets`_ ``guiqwt.plot.ImageWidgetMixin``,*removed*,See `Generic PlotWidgets`_ ``guiqwt.plot.CurveDialog``,``plotpy.plot.PlotDialog``,See `Generic PlotWidgets`_ ``guiqwt.plot.ImageDialog``,``plotpy.plot.PlotDialog``,See `Generic PlotWidgets`_ ``guiqwt.baseplot.BasePlot``,``plotpy.plot.BasePlot`` ``guiqwt.curve.CurvePlot``,``plotpy.plot.BasePlot``,See `Generic PlotWidgets`_ ``guiqwt.image.ImagePlot``,``plotpy.plot.BasePlot``,See `Generic PlotWidgets`_ ``guiqwt.curve.CurvePlot.canvas2plotitem``,``plotpy.coords.canvas_to_axes``,"``canvas2plotitem(item, x, y)`` becomes ``canvas_to_axes(item, QPointF(x, y))``" ``guiqwt.curve.CurvePlot.plotitem2canvas``,``plotpy.coords.axes_to_canvas``,"``plotitem2canvas(item, x, y)`` becomes ``axes_to_canvas(item, x, y)``" ``guiqwt.plot.SubplotWidget``,``plotpy.plot.SubplotWidget`` ``guiqwt.pyplot``,``plotpy.pyplot`` ``guiqwt.styles``,``plotpy.styles`` ``guiqwt.tools``,``plotpy.tools`` ``guiqwt.colormap``,``plotpy.mathutils.colormap`` ``guiqwt.geometry``,``plotpy.mathutils.geometry`` ``guiqwt.qthelpers.exec_image_save_dialog``,``plotpy.widgets.imagefile.exec_image_save_dialog`` ``guiqwt.qthelpers.exec_image_open_dialog``,``plotpy.widgets.imagefile.exec_image_open_dialog`` ``guiqwt.qthelpers.exec_images_open_dialog``,``plotpy.widgets.imagefile.exec_images_open_dialog`` ``guiqwt.qthelpers.mimedata2url``,``guidata.qthelpers.mimedata2url`` ``guiqwt.scaler``,``plotpy.mathutils.scaler`` ``guiqwt.debug``,*removed* ``guiqwt.debug.buttons_to_str``,``plotpy.events.buttons_to_str`` ``guiqwt.debug.evt_type_to_str``,``plotpy.events.evt_type_to_str`` ``guiqwt.debug.print_event``,*removed* ``guiqwt.debug.qimage_format``,*removed* ``guiqwt.debug.qimage_to_str``,*removed* ``guiqwt.widgets.base``,``plotpy.widgets.basetransform`` ``guiqwt.widgets.fit``,``plotpy.widgets.fit`` ``guiqwt.widgets.fliprotate``,``plotpy.widgets.fliprotate`` ``guiqwt.widgets.resizedialog``,``plotpy.widgets.resizedialog`` ``guiqwt.widgets.rotatecrop``,``plotpy.widgets.rotatecrop`` ``guiqwt.qtdesigner``,``plotpy.widgets.qtdesigner`` PlotPyStack-PlotPy-2af0906/doc/dev/guiqwt_to_plotpy.rst000066400000000000000000000230651525747167300232420ustar00rootroot00000000000000How to migrate from guiqwt -------------------------- This section describes the steps to migrate python code using guiqwt to plotpy. Updating the imports ^^^^^^^^^^^^^^^^^^^^ The following table gives the equivalence between guiqwt and plotpy classes. For most of them, the change in the module path is the only difference (only the import statement have to be updated in your client code). For others, the third column of this table gives more details about the changes that may be required in your code. .. csv-table:: Compatibility table :file: guiqwt_to_plotpy.csv Generic PlotWidgets ^^^^^^^^^^^^^^^^^^^ The Curve and Image plot widgets/dialogs/windows classes have been merged into generic classes capable of handling both plot items types. As a consequence : * The ``CurvePlot`` and ``ImagePlot`` classes have been removed. If you are using them in your code, you can replace them by the :py:class:`.BasePlot` class which takes only one argument for configuration, named `options` (a :py:class:`.BasePlotOptions` instance). Choosing between curve and image plot is now done by setting the `type` attribute of the plot options (that may be set to ``'curve'`` or ``'image'`` for example). See also the `Minor changes to the BasePlot class`_ section. * The ``CurveWidget`` and ``ImageWidget`` classes have been merged into the new class :py:class:`.PlotWidget`. If you are using them in your code, you can replace them by the :py:class:`.PlotWidget` class, which takes only one argument for configuration, named `options` (a :py:class:`.PlotOptions` instance). Choosing between curve and image plot is now done by setting the `type` attribute of the plot options (that may be set to ``'curve'`` or ``'image'`` for example). * The `CurveDialog` and `ImageDialog` classes have been merged into the new class :py:class:`.PlotDialog`. If you are using them in your code, you may proceed as for the ``CurveWidget`` and ``ImageWidget`` classes. * The ``CurveWindow`` and ``ImageWindow`` classes have been merged into the new class :py:class:`.PlotWindow`. If you are using them in your code, you may proceed as for the ``CurveWidget`` and ``ImageWidget`` classes. .. note:: Instead of setting the `type` plot option attribute to ``'curve'`` or ``'image'``, as stated above, you may consider using the ``'auto'`` value or the ``'manual'`` value. See demo script `tests/features/test_plot_types.py`. Minor changes to the BasePlot class ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Some small changes of the :py:class:`.BasePlot` class related to the `Generic PlotWidgets`_ may require some minor adaptation of your code: * The :py:meth:`.BasePlot.del_all_items` method now has an ``except_grid`` keyword argument defaulting to ``True``. This functionality was previously only present in child classes starting from ``CurvePlot``, and has been merged into the parent class :py:class:`.BasePlot`. As a consequence, if you used the :py:class:`.BasePlot` class directly (without using ``CurvePlot`` or other child classes), you may want to pass ``except_grid=False`` to your :py:meth:`.BasePlot.del_all_items` calls. * The constructor of the :py:class:`.BasePlot` class now only takes ``parent`` and ``options`` arguments. The arguments of the constructors of the old classes ``CurvePlot`` and ``ImagePlot`` (``title``, ``xlabel``, ``ylabel``, ``xunit``, ``yunit``, ``gridparam``, ``section``, ``axes_synchronised``, ``zlabel``, ``zunit``, ``yreverse``, ``aspect_ratio``, ``lock_aspect_ratio``) have been merged into the :py:class:`.BasePlotOptions` dataclass, together with the new ``type`` (see `Generic PlotWidgets`_) and ``force_colorbar_enabled`` options. As a consequence, you should pass these settings through the ``options`` argument, e.g. ``BasePlot(options=BasePlotOptions(title="My plot", type="image"))`` (a dictionary is also accepted). Renamed update_curve and update_image methods ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The ``update_image`` method of the classes `BaseImageParam`, `QuadGridParam` and their subclasses has been renamed to ``update_item``. The ``update_curve`` method of the classes `CurveParam`, `ErrorBarParam` and their subclasses has also been renamed to ``update_item``. This change allows to treat plot items parameters in a more generic way in client code. Renamed PlotItems fields ^^^^^^^^^^^^^^^^^^^^^^^^ The ``imageparam`` and ``curveparam`` fields of all plot item classes have been renamed to ``param``. This change allows to treat curve and image plot items in a more generic way in client code. New features ^^^^^^^^^^^^ The following subsections present new features that may help you to simplify you code using plotpy. New method for thresholding image item LUTs ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The method :py:meth:`plotpy.items.BaseImageItem.set_lut_threshold` has been added. It allows to set the percentage of outliers to be clipped from the image histogram values. This method is available for all image items: * :py:class:`.ImageItem` * :py:class:`.XYImageItem` * :py:class:`.MaskedImageItem` * :py:class:`.TrImageItem` New annotation tools registration methods ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Some new methods were added to class :py:class:`.PlotManager`: * :py:meth:`.PlotManager.register_curve_annotation_tools`: register all curve related annotation tools, * :py:meth:`.PlotManager.register_image_annotation_tools`: register all image related annotation tools, * :py:meth:`.PlotManager.register_all_annotation_tools`: register all annotation tools. You may use those methods to simplify you code if you were previously registering annotation tools one by one. See demo script `tests/items/test_annotations.py`. New contour features ~~~~~~~~~~~~~~~~~~~~ PlotPy integrates contour detection plot items, based on the contour detection algorithm provided by the `scikit-image` library. As a consequence, the applications that previously depended on `matplotlib` only for contour detection can now drop this dependency. See demo script `tests/items/test_contours.py`. MaskedXYImages ~~~~~~~~~~~~~~ You can now use the :py:class:`.MaskedXYImageItem` to apply masks to XYImageItems (only ImageItems where previously maskable with the class :py:class:`.MaskedImageItem`. You can use the convenience methods :py:meth:`.PlotBuilder.maskedxyimage` to help you build such items. See demo script `tests/items/test_image_masked_xy.py`. New options added to plot builder ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The ``PlotItemBuilder`` factory class has been renamed to :py:class:`.PlotBuilder`, because it provides not only methods for creating plot items, but also methods for creating ready-to-use plots. New methods for creating ready-to-use plots have been added to the class: * :py:meth:`.PlotBuilder.widget` * :py:meth:`.PlotBuilder.dialog` * :py:meth:`.PlotBuilder.window` The method :py:meth:`.PlotBuilder.contours` has been added, in order to create contour curves. It returns a list of :py:class:`plotpy.items.ContourItem` objects. See demo script `tests/items/test_contours.py`. The new keyword parameter ``alpha_function`` has been added to the methods :py:meth:`.PlotBuilder.image`, :py:meth:`.PlotBuilder.xyimage`, :py:meth:`.PlotBuilder.maskedimage`, :py:meth:`.PlotBuilder.maskedxyimage`, :py:meth:`.PlotBuilder.trimage`, :py:meth:`.PlotBuilder.rgbimage`, and :py:meth:`.PlotBuilder.quadgrid`. It allows to specify a function to compute the alpha channel of the image from the data values. The supported functions are: * :py:attr:`plotpy.constants.LUTAlpha.NONE` (default) * :py:attr:`plotpy.constants.LUTAlpha.CONSTANT` * :py:attr:`plotpy.constants.LUTAlpha.LINEAR` * :py:attr:`plotpy.constants.LUTAlpha.SIGMOID` * :py:attr:`plotpy.constants.LUTAlpha.TANH` * :py:attr:`plotpy.constants.LUTAlpha.STEP` .. warning:: The ``alpha_mask`` parameter has been removed from the methods :py:meth:`.PlotBuilder.image`, :py:meth:`.PlotBuilder.xyimage`, :py:meth:`.PlotBuilder.maskedimage`, :py:meth:`.PlotBuilder.maskedxyimage`, :py:meth:`.PlotBuilder.trimage`, :py:meth:`.PlotBuilder.rgbimage`, and :py:meth:`.PlotBuilder.quadgrid`. If you were using it, you should replace it by the new ``alpha_function`` parameter. The new keyword parameter ``lut_range`` has been added to the methods :py:meth:`.PlotBuilder.image`, :py:meth:`.PlotBuilder.xyimage`, :py:meth:`.PlotBuilder.maskedimage`, :py:meth:`.PlotBuilder.maskedxyimage`, and :py:meth:`.PlotBuilder.trimage`, so you can now avoid to make calls to set_lut_range after the PlotItem is built. See demo script `tests/features/test_builder.py`. The method :py:meth:`.PlotBuilder.image` now accepts optional ``x`` and ``y`` keyword arguments, to automatically create a :py:class:`plotpy.items.XYImageItem` instead of a simple :py:class:`plotpy.items.ImageItem` if needed. See demo script `tests/features/test_builder.py`. The method :py:meth:`.PlotBuilder.curve` now accepts optional ``dx``, ``dy``, ``errorbarwidth``, ``errorbarcap``, ``errorbarmode``, `errorbaralpha` keyword arguments, to automatically create a :py:class:`plotpy.items.ErrorBarCurveItem` instead of a simple :py:class:`plotpy.items.CurveItem` if needed. See demo script `tests/features/test_builder.py`. Transformation (translation, rotate, resize) of ImageItem ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Most ImageItem can now be selected, translated, rotated and resized. Auto-scaling and shapes ~~~~~~~~~~~~~~~~~~~~~~~ Auto-scaling takes now into account visible shapes (subclasses of :py:class:`.PolygonShape`). See demo script `tests/features/test_autoscale_shapes.py`. PlotPyStack-PlotPy-2af0906/doc/dev/index.rst000066400000000000000000000002411525747167300207070ustar00rootroot00000000000000Development =========== .. toctree:: :maxdepth: 2 :caption: Contents: contribute gitworkflow build guiqwt_to_plotpy v1_to_v2 platforms PlotPyStack-PlotPy-2af0906/doc/dev/platforms.rst000066400000000000000000000110111525747167300216040ustar00rootroot00000000000000.. _platforms: Reference test platforms ------------------------ The following sections describe the reference platforms for the project. .. note:: The officially supported Python versions are 3.9, 3.10, 3.11, 3.12 and 3.13. The officially supported Qt binding is PyQt5. However, efforts have been made and will continue to be made to support PyQt6 and PySide6 as well. The project is currently tested on the following platforms: * Microsoft Windows 10 (64-bit) * Microsoft Windows 11 (64-bit) * CentOS Stream 8.8 (64-bit) * Ubuntu 22.04 LTS (64-bit) However, it should work on any other platform supported by its dependencies. About requirements ^^^^^^^^^^^^^^^^^^ The ``requirements.txt`` mentioned in the following sections is a text file which contains the list of all the Python packages required for building up the projet environment. It is used by the ``pip`` command to install all the dependencies. The ``requirements.txt`` file is generated automatically by the ``guidata-genreqs`` tool. It is based on the ``pyproject.toml`` file which is the reference file for the project dependencies. .. warning:: Please note that the generation is not systematic and the ``requirements.txt`` file may not be up-to-date. To update the ``requirements.txt`` file, use the Visual Studio task ``Update requirements.txt`` or execute the following command: .. code-block:: bash python -m guidata.utils.genreqs txt Microsoft Windows 10 ^^^^^^^^^^^^^^^^^^^^ First, install the latest version of Python 3.10 from the WinPython project. .. note:: At the time of writing, the latest version is 3.10.11.1 which can be download from `here `_. Then install all the requirements using the following command from the WinPython command prompt: .. code-block:: bash pip install -r requirements.txt Finally, build the Cython and C++ extensions using the following command (at this stage, you may need to install the Microsoft Visual C++ Build Tools): .. code-block:: bash python setup.py build_ext --inplace That's it, you can now run the tests using the following command: .. code-block:: bash pytest plotpy CentOS Stream 8.8 ^^^^^^^^^^^^^^^^^ .. note:: The following instructions have been tested on CentOS Stream which is the reference platform for the project. However, they should work on any other Linux distribution relying on the ``yum`` package manager. As for the other distributions, you may need to adapt the instructions to your specific environment (e.g. use ``apt-get`` instead of ``yum``). First, install the prerequisites: .. code-block:: bash sudo yum install groupinstall "Development Tools" -y sudo yum install openssl-devel.i686 libffi-devel.i686 bzip2-devel.i686 sqlite-devel -y Check that ``gcc`` is installed and available in the ``PATH`` environment variable: .. code-block:: bash gcc --version Install OpenSSL 1.1.1: .. code-block:: bash wget https://www.openssl.org/source/openssl-1.1.1v.tar.gz tar -xvf openssl-1.1.1v.tar.gz cd openssl-1.1.1v ./config --prefix=/usr --openssldir=/etc/ssl --libdir=lib no-shared zlib-dynamic make sudo make install openssl version which openssl cd .. Install Python 3.10.13 (the latest 3.10 version at the time of writing): .. code-block:: bash wget https://www.python.org/ftp/python/3.10.13/Python-3.10.13.tgz tar -xvf Python-3.10.13.tgz cd Python-3.10.13 ./configure --enable-optimizations --with-openssl=/usr --enable-loadable-sqlite-extensions sudo make altinstall cd .. Eventually add the ``/usr/local/bin`` directory to the ``PATH`` environment variable if Python has warned you about it: .. code-block:: bash sudo echo 'pathmunge /usr/local/bin' > /etc/profile.d/py310.sh chmod +x /etc/profile.d/py310.sh . /etc/profile # or logout and login again (reload the environment variables) echo $PATH # check that /usr/local/bin is in the PATH Create a virtual environment and install the requirements: .. code-block:: bash python3.10 -m venv plotpy-venv source plotpy-venv/bin/activate pip install --upgrade pip pip install -r requirements.txt Finally, build the Cython and C++ extensions using the following command: .. code-block:: bash cd ~/path_to_plotpy_repo python setup.py build_ext --inplace That's it, you can now run the tests using the following command: .. code-block:: bash pytest plotpyPlotPyStack-PlotPy-2af0906/doc/dev/v1_to_guidata_v3.csv000066400000000000000000000005731525747167300227310ustar00rootroot00000000000000plotpy v1,guidata v3 ``.gui.dataitems.*``,``.dataset.*`` ``.gui.datatypes.*``,``.dataset.*`` ``.gui.dataset.qtitemwidgets``,``.dataset.qtitemwidgets`` ``.gui.dataset.qtwidgets``,``.dataset.qtwidgets`` ``.core.io.hdf5io``,``.dataset.io.h5fmt`` ``.core.config.userconfigio``,``.dataset.io.inifmt`` ``.core.config.userconfig``,``.userconfig`` ``.core.utils.disthelpers``,*removed* PlotPyStack-PlotPy-2af0906/doc/dev/v1_to_v2.csv000066400000000000000000000046161525747167300212340ustar00rootroot00000000000000plotpy v1,plotpy v2 ``.gui.widgets.interfaces``,``.interfaces`` ``.gui.widgets.items``,``.items`` ``.gui.widgets.panels.PanelWidget``,``.panels.PanelWidget`` ``.gui.widgets.baseplot.PlotItemList``,``.panels.itemlist.PlotItemList`` ``.gui.widgets.plot``,``.plot`` ``.gui.widgets.styles``,``.styles`` ``.gui.widgets.tools``,``.tools`` ``.gui.widgets.pyplot``,``.pyplot`` ``.gui.widgets.builder``,``.builder`` ``.gui.widgets.baseplot.canvas_to_axes``,``.coords.canvas_to_axes`` ``.gui.widgets.baseplot.axes_to_canvas``,``.coords.axes_to_canvas`` ``.gui.widgets.events``,``.events`` ``.gui.widgets.histogram.hist_range_threshold``,``.lutrange.hist_range_threshold`` ``.gui.widgets.histogram.lut_range_threshold``,``.lutrange.lut_range_threshold`` ``.gui.widgets.histogram.HistogramItem``,``.items.histogram.HistogramItem`` ``.gui.widgets.histogram.ContrastAdjustment``,``.panels.contrastadjustment.ContrastAdjustment`` ``.gui.widgets.io``,``.io`` ``.gui.widgets.io.eliminate_outliers``,*removed* ``.gui.widgets.colormap``,``.mathutils.colormap`` ``.gui.widgets.debug``,*removed* ``.gui.widgets.debug.buttons_to_str``,``.events.buttons_to_str`` ``.gui.widgets.debug.evt_type_to_str``,``.events.evt_type_to_str`` ``.gui.widgets.debug.print_event``,*removed* ``.gui.widgets.debug.qimage_format``,*removed* ``.gui.widgets.debug.qimage_to_str``,*removed* ``.gui.widgets.geometry``,``.mathutils.geometry`` ``.gui.widgets.scaler``,``.mathutils.scaler`` ``.gui.widgets.qthelpers.exec_image_save_dialog``,``.widgets.imagefile.exec_image_save_dialog`` ``.gui.widgets.qthelpers.exec_image_open_dialog``,``.widgets.imagefile.exec_image_open_dialog`` ``.gui.widgets.qthelpers.exec_images_open_dialog``,``.widgets.imagefile.exec_images_open_dialog`` ``.gui.widgets.qthelpers.mimedata2url``,*removed* ``.gui.widgets.fit``,``.widgets.fit`` ``.gui.widgets.fliprotate``,``.widgets.fliprotate`` ``.gui.widgets.qtdesigner``,``.widgets.qtdesigner`` ``.gui.widgets.resizedialog``,``.widgets.resizedialog`` ``.gui.widgets.rotatecrop``,``.widgets.rotatecrop`` ``.gui.widgets.items.baseplot.BasePlot.canvas2plotitem``,*removed* ``.gui.widgets.items.baseplot.BasePlot.plotitem2canvas``,*removed* ``.gui.widgets.items.baseplot.BasePlot.get_plot_names``,*removed* ``.gui.widgets.items.baseplot.BasePlot.set_plot_limits_synchronised``,*removed* ``.gui.widgets.items.baseplot.BasePlot.update_lut_range``,*removed* ``.gui.widgets.items.baseplot.BasePlot.set_full_scale``,*removed*PlotPyStack-PlotPy-2af0906/doc/dev/v1_to_v2.rst000066400000000000000000000077761525747167300212630ustar00rootroot00000000000000How to migrate from plotpy V1 ----------------------------- This section describes the steps to migrate python code using plotpy V1 to plotpy V2. Updating the imports ^^^^^^^^^^^^^^^^^^^^ PlotPy V1 to PlotPy V2 ~~~~~~~~~~~~~~~~~~~~~~ The following table gives the equivalence between plotpy V1 and plotpy V2 imports or objects. For most of them, the change in the module path is the only difference (only the import statement have to be updated in your client code). For others, the third column of this table gives more details about the changes that may be required in your code. .. csv-table:: Compatibility table :file: v1_to_v2.csv PlotPy V1 to guidata V3 ~~~~~~~~~~~~~~~~~~~~~~~ With the release of PlotPy V2, the ``DataSet`` related features have been moved to the `guidata` package (from where they were originally extracted). The following table gives the equivalence between PlotPy V1 and guidata V3 imports or objects. .. csv-table:: Compatibility table :file: v1_to_guidata_v3.csv New method for thresholding image item LUTs ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The method :py:meth:`plotpy.items.BaseImageItem.set_lut_threshold` has been added. It allows to set the percentage of outliers to be clipped from the image histogram values. This method is available for all image items: * :py:class:`.ImageItem` * :py:class:`.XYImageItem` * :py:class:`.MaskedImageItem` * :py:class:`.TrImageItem` New options added to plot builder ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ The ``PlotItemBuilder`` factory class has been renamed to :py:class:`.PlotBuilder`, because it provides not only methods for creating plot items, but also methods for creating ready-to-use plots. New methods for creating ready-to-use plots have been added to the class: * :py:meth:`.PlotBuilder.widget` * :py:meth:`.PlotBuilder.dialog` * :py:meth:`.PlotBuilder.window` The method :py:meth:`.PlotBuilder.contours` has been added, in order to create contour curves. It returns a list of :py:class:`plotpy.items.ContourItem` objects. See demo script `tests/items/test_contour.py`. The new keyword parameter ``alpha_function`` has been added to the methods :py:meth:`.PlotBuilder.image`, :py:meth:`.PlotBuilder.xyimage`, :py:meth:`.PlotBuilder.maskedimage`, :py:meth:`.PlotBuilder.maskedxyimage`, :py:meth:`.PlotBuilder.trimage`, :py:meth:`.PlotBuilder.rgbimage`, and :py:meth:`.PlotBuilder.quadgrid`. It allows to specify a function to compute the alpha channel of the image from the data values. The supported functions are: * :py:attr:`plotpy.constants.LUTAlpha.NONE` (default) * :py:attr:`plotpy.constants.LUTAlpha.CONSTANT` * :py:attr:`plotpy.constants.LUTAlpha.LINEAR` * :py:attr:`plotpy.constants.LUTAlpha.SIGMOID` * :py:attr:`plotpy.constants.LUTAlpha.TANH` * :py:attr:`plotpy.constants.LUTAlpha.STEP` .. warning:: The ``alpha_mask`` parameter has been removed from the methods :py:meth:`.PlotBuilder.image`, :py:meth:`.PlotBuilder.xyimage`, :py:meth:`.PlotBuilder.maskedimage`, :py:meth:`.PlotBuilder.maskedxyimage`, :py:meth:`.PlotBuilder.trimage`, :py:meth:`.PlotBuilder.rgbimage`, and :py:meth:`.PlotBuilder.quadgrid`. If you were using it, you should replace it by the new ``alpha_function`` parameter. Plot item icon handling ^^^^^^^^^^^^^^^^^^^^^^^ The `guiqwt` library was allowing to instantiate plot items without needing to create a `QApplication` instance (no GUI event loop was required). This was not the case with `plotpy` V1, so that it was not possible -for example- to serialize/deserialize plot items to JSON without creating a `QApplication` instance. With `plotpy` V2, this has been fixed by removing the `QIcon` instantiation from the plot items constructors (call to `QwtPlotItem.setIcon` method). Note that -in the meantime- `QwtPlotItem.setIcon` and `QwtPlotItem.icon` methods have also been removed in PythonQwt V0.14.3. Code relying on this feature should thus be updated to use the new `get_icon_name` method instead, i.e. `get_icon(item.get_icon_name())` instead of `item.icon()`. PlotPyStack-PlotPy-2af0906/doc/features/000077500000000000000000000000001525747167300201115ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/doc/features/colormapmanager.rst000066400000000000000000000000661525747167300240140ustar00rootroot00000000000000.. automodule:: plotpy.widgets.colormap :no-index: PlotPyStack-PlotPy-2af0906/doc/features/events.rst000066400000000000000000000000361525747167300221460ustar00rootroot00000000000000.. automodule:: plotpy.events PlotPyStack-PlotPy-2af0906/doc/features/fit.rst000066400000000000000000000000431525747167300214220ustar00rootroot00000000000000.. automodule:: plotpy.widgets.fit PlotPyStack-PlotPy-2af0906/doc/features/fliprotate.rst000066400000000000000000000000521525747167300230110ustar00rootroot00000000000000.. automodule:: plotpy.widgets.fliprotate PlotPyStack-PlotPy-2af0906/doc/features/imagefile.rst000066400000000000000000000000511525747167300225610ustar00rootroot00000000000000.. automodule:: plotpy.widgets.imagefile PlotPyStack-PlotPy-2af0906/doc/features/index.rst000066400000000000000000000004571525747167300217600ustar00rootroot00000000000000Features ======== .. toctree:: :maxdepth: 2 :caption: Contents: plot/index items/index tools/index styles/index panels/index colormapmanager fit pyplot resizedialog rotatecrop fliprotate selectdialog imagefile io signals mathutils/index events PlotPyStack-PlotPy-2af0906/doc/features/io.rst000066400000000000000000000000311525747167300212440ustar00rootroot00000000000000.. automodule:: plotpy.ioPlotPyStack-PlotPy-2af0906/doc/features/items/000077500000000000000000000000001525747167300212325ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/doc/features/items/builder.rst000066400000000000000000000014231525747167300234120ustar00rootroot00000000000000.. _builder: Item builder ------------ The `builder` module provides a builder singleton class that can be used to simplify the creation of plot items. .. autodata:: plotpy.builder.make .. autoclass:: plotpy.constants.LUTAlpha :members: .. autoclass:: plotpy.builder.PlotBuilder :members: widget,dialog,window,gridparam,grid,mcurve,pcurve,curve,merror,perror,error,histogram,phistogram,range,vcursor,hcursor,xcursor,marker,image,maskedimage,maskedxyimage,rgbimage,quadgrid,pcolor,trimage,xyimage,imagefilter,contours,histogram2D,rectangle,ellipse,polygon,circle,segment,svg,annotated_point,annotated_rectangle,annotated_ellipse,annotated_circle,annotated_segment,annotated_polygon,label,legend,info_label,range_info_label,computation,computations,computation2d,computations2d PlotPyStack-PlotPy-2af0906/doc/features/items/examples.rst000066400000000000000000000111001525747167300235730ustar00rootroot00000000000000Examples -------- Curve example ^^^^^^^^^^^^^ Create a basic curve plotting widget: * before creating any widget, a `QApplication` must be instantiated (that is a `Qt` internal requirement):: >>> import guidata >>> app = guidata.qapplication() * that is mostly equivalent to the following (the only difference is that the :mod:`plotpy` helper function also installs the `Qt` translation corresponding to the system locale):: >>> from qtpy.QtWidgets import QApplication >>> app = QApplication([]) * now that a `QApplication` object exists, we may create the plotting widget using :py:class:`.PlotWidget` and :py:class:`.PlotOptions`:: >>> from plotpy.plot import PlotWidget, PlotOptions >>> options = PlotOptions(title="Example", xlabel="X", ylabel="Y", type="curve") >>> plot = PlotWidget(options=options) * ...or using the :py:class:`.PlotBuilder` (see :py:attr:`plotpy.builder.make`):: >>> from plotpy.builder import make >>> plot = make.widget(title="Example", xlabel="X", ylabel="Y", type="curve") Create a curve item: * from the associated plot item class (e.g. `ErrorBarCurveItem` to create a curve with error bars): the item properties are then assigned by creating the appropriate style parameters object (e.g. :py:class:`.styles.ErrorBarParam`):: >>> from plotpy.items import CurveItem >>> from plotpy.styles import CurveParam >>> param = CurveParam() >>> param.label = 'My curve' >>> curve = CurveItem(param) >>> curve.set_data(x, y) * or using the :py:class:`.PlotBuilder` (see :py:attr:`plotpy.builder.make`):: >>> from plotpy.builder import make >>> curve = make.curve(x, y, title='My curve') Attach the curve to the plotting widget:: >>> plot.add_item(curve) Display the plotting widget:: >>> plot.show() >>> app.exec() Image example ^^^^^^^^^^^^^ Create a basic image plotting widget (see also `Curve example`_), using :py:class:`.PlotWidget` and :py:class:`.PlotOptions`:: >>> import guidata >>> app = guidata.qapplication() >>> from plotpy.plot import PlotWidget, PlotOptions >>> plot = PlotWidget(options=PlotOptions(title="Example", type="image")) ...or using the :py:class:`.PlotBuilder` (see :py:attr:`plotpy.builder.make`):: >>> from plotpy.builder import make >>> plot = make.widget(title="Example", type="image") Generate random data for testing purpose:: >>> import numpy as np >>> data = np.random.rand(100, 100) Create a simple image item: * from the associated plot item class (e.g. `XYImageItem` to create an image with non-linear X/Y axes): the item properties are then assigned by creating the appropriate style parameters object (e.g. :py:class:`.styles.ImageParam`):: >>> from plotpy.items import ImageItem >>> from plotpy.styles import ImageParam >>> param = ImageParam() >>> param.label = 'My image' >>> image = ImageItem(param) >>> image.set_data(data) * or using the :py:class:`.PlotBuilder` (see :py:attr:`plotpy.builder.make`):: >>> from plotpy.builder import make >>> image = make.image(data, title='My image') Final steps (see also `Curve example`_):: >>> plot.add_item(image) >>> plot.show() >>> app.exec() Shape example ^^^^^^^^^^^^^ A shape may be created: * from the associated plot item class (e.g. `RectangleShape` to create a rectangle): the item properties are then assigned by creating the appropriate style parameters object (:py:class:`.styles.ShapeParam`):: >>> from plotpy.items import RectangleShape >>> from plotpy.styles import ShapeParam >>> param = ShapeParam() >>> param.title = 'My rectangle' >>> rect_item = RectangleShape(0., 2., 4., 0., param) * or using the :py:class:`.PlotBuilder` (see :py:attr:`plotpy.builder.make`):: >>> from plotpy.builder import make >>> rect_item = make.rectangle(0., 2., 4., 0., title='My rectangle') Annotation example ^^^^^^^^^^^^^^^^^^ An annotated shape may be created: * from the associated plot item class (e.g. `AnnotatedCircle` to create an annotated circle): the item properties are then assigned by creating the appropriate style parameters object (:py:class:`.styles.AnnotationParam`):: >>> from plotpy.items import AnnotatedCircle >>> from plotpy.styles import AnnotationParam >>> param = AnnotationParam() >>> param.title = 'My circle' >>> circle_item = AnnotatedCircle(0., 2., 4., 0., param) * or using the :py:class:`.PlotBuilder` (see :py:attr:`plotpy.builder.make`):: >>> from plotpy.builder import make >>> circle_item = make.annotated_circle(0., 2., 4., 0., title='My circle') PlotPyStack-PlotPy-2af0906/doc/features/items/index.rst000066400000000000000000000002101525747167300230640ustar00rootroot00000000000000.. _items: Plot items ========== .. toctree:: :maxdepth: 2 :caption: Contents: overview examples builder reference PlotPyStack-PlotPy-2af0906/doc/features/items/overview.rst000066400000000000000000000047171525747167300236430ustar00rootroot00000000000000Overview -------- The :ref:`items` module provides the classes for the plot items. Plot items are the graphical objects that are displayed on a 2D plotting widget like :py:class:`.BasePlot`. Items may be created either by using the appropriate class constructor or by using the :obj:`.builder.make` factory object. .. seealso:: :ref:`builder` Module providing the :obj:`.builder.make` factory object which can be used to create plot items :ref:`plot` Module providing ready-to-use curve and image plotting widgets and dialog boxes Curves ^^^^^^ The following curve items are available: * :py:class:`.CurveItem`: a curve plot item * :py:class:`.ErrorBarCurveItem`: a curve plot item with error bars Images ^^^^^^ The following image items are available: * :py:class:`.ImageItem`: simple images * :py:class:`.TrImageItem`: images supporting arbitrary affine transform * :py:class:`.XYImageItem`: images with non-linear X/Y axes * :py:class:`.Histogram2DItem`: 2D histogram * :py:class:`.ImageFilterItem`: rectangular filtering area that may be resized and moved onto the processed image * :py:func:`.assemble_imageitems` * :py:func:`.get_plot_qrect` * :py:func:`.get_image_from_plot` Flow fields ^^^^^^^^^^^ The following flow field items are available: * :py:class:`.QuiverItem`: a flow field item with arrows Grid ^^^^ A single grid item is available: :py:class:`.GridItem`. Shapes ^^^^^^ The following shape items are available: * :py:class:`.PolygonShape` * :py:class:`.RectangleShape` * :py:class:`.ObliqueRectangleShape` * :py:class:`.PointShape` * :py:class:`.SegmentShape` * :py:class:`.EllipseShape` * :py:class:`.Axes` * :py:class:`.XRangeSelection` * :py:class:`.YRangeSelection` * :py:class:`.Marker` * :py:class:`.RectangleSVGShape` * :py:class:`.SquareSVGShape` * :py:class:`.CircleSVGShape` Annotations ^^^^^^^^^^^ The following annotation items are available: * :py:class:`.AnnotatedPoint` * :py:class:`.AnnotatedSegment` * :py:class:`.AnnotatedXRange` * :py:class:`.AnnotatedYRange` * :py:class:`.AnnotatedRectangle` * :py:class:`.AnnotatedObliqueRectangle` * :py:class:`.AnnotatedEllipse` * :py:class:`.AnnotatedCircle` * :py:class:`.AnnotatedPolygon` Labels ^^^^^^ The following label items are available: * :py:class:`.LabelItem` * :py:class:`.LegendBoxItem` * :py:class:`.SelectedLegendBoxItem` * :py:class:`.XRangeComputation` * :py:class:`.YRangeComputation` * :py:class:`.RangeComputation2d` * :py:class:`.DataInfoLabel` PlotPyStack-PlotPy-2af0906/doc/features/items/reference.rst000066400000000000000000000067261525747167300237350ustar00rootroot00000000000000:tocdepth: 3 Reference --------- Base classes ^^^^^^^^^^^^ .. autoclass:: plotpy.interfaces.IItemType .. autoclass:: plotpy.interfaces.IBasePlotItem .. autoclass:: plotpy.interfaces.IColormapImageItemType Curves ^^^^^^ .. autoclass:: plotpy.items.CurveItem :members: .. autoclass:: plotpy.items.ErrorBarCurveItem :members: Images ^^^^^^ .. autoclass:: plotpy.items.BaseImageItem :members: .. autoclass:: plotpy.items.RawImageItem :members: .. autoclass:: plotpy.items.ImageItem :members: .. autoclass:: plotpy.items.TrImageItem :members: .. autoclass:: plotpy.items.XYImageItem :members: .. autoclass:: plotpy.items.RGBImageItem :members: .. autoclass:: plotpy.items.MaskedArea :members: .. autoclass:: plotpy.items.MaskedImageItem :members: .. autoclass:: plotpy.items.MaskedXYImageItem :members: .. autoclass:: plotpy.items.ImageFilterItem :members: .. autoclass:: plotpy.items.XYImageFilterItem :members: .. autoclass:: plotpy.items.QuadGridItem :members: .. autofunction:: plotpy.items.assemble_imageitems .. autofunction:: plotpy.items.get_plot_qrect .. autofunction:: plotpy.items.get_image_from_plot Contours ^^^^^^^^ .. autoclass:: plotpy.items.ContourItem :members: .. autoclass:: plotpy.items.contour.ContourLine :members: .. autofunction:: plotpy.items.contour.compute_contours .. autofunction:: plotpy.items.create_contour_items Histograms ^^^^^^^^^^ .. autoclass:: plotpy.items.HistogramItem :members: .. autoclass:: plotpy.items.Histogram2DItem :members: Flow fields ^^^^^^^^^^^ .. autoclass:: plotpy.items.QuiverItem :members: Grid ^^^^ .. autoclass:: plotpy.items.GridItem :members: Shapes ^^^^^^ .. autoclass:: plotpy.items.AbstractShape :members: .. autoclass:: plotpy.items.PolygonShape :members: .. autoclass:: plotpy.items.RectangleShape :members: .. autoclass:: plotpy.items.ObliqueRectangleShape :members: .. autoclass:: plotpy.items.PointShape :members: .. autoclass:: plotpy.items.SegmentShape :members: .. autoclass:: plotpy.items.EllipseShape :members: .. autoclass:: plotpy.items.Axes :members: .. autoclass:: plotpy.items.XRangeSelection :members: .. autoclass:: plotpy.items.YRangeSelection :members: .. autoclass:: plotpy.items.Marker :members: .. autoclass:: plotpy.items.RectangleSVGShape :members: .. autoclass:: plotpy.items.SquareSVGShape :members: .. autoclass:: plotpy.items.CircleSVGShape :members: Annotations ^^^^^^^^^^^ .. autoclass:: plotpy.items.AnnotatedShape :members: .. autoclass:: plotpy.items.AnnotatedPoint :members: .. autoclass:: plotpy.items.AnnotatedSegment :members: .. autoclass:: plotpy.items.AnnotatedXRange :members: .. autoclass:: plotpy.items.AnnotatedYRange :members: .. autoclass:: plotpy.items.AnnotatedRectangle :members: .. autoclass:: plotpy.items.AnnotatedObliqueRectangle :members: .. autoclass:: plotpy.items.AnnotatedEllipse :members: .. autoclass:: plotpy.items.AnnotatedCircle :members: .. autoclass:: plotpy.items.AnnotatedPolygon :members: Labels ^^^^^^ .. autoclass:: plotpy.items.LabelItem :members: .. autoclass:: plotpy.items.LegendBoxItem :members: .. autoclass:: plotpy.items.SelectedLegendBoxItem :members: .. autoclass:: plotpy.items.XRangeComputation :members: .. autoclass:: plotpy.items.YRangeComputation :members: .. autoclass:: plotpy.items.RangeComputation2d :members: .. autoclass:: plotpy.items.DataInfoLabel :members: .. autoclass:: plotpy.items.ObjectInfo :members: PlotPyStack-PlotPy-2af0906/doc/features/mathutils/000077500000000000000000000000001525747167300221235ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/doc/features/mathutils/colormaps.rst000066400000000000000000000000701525747167300246510ustar00rootroot00000000000000.. automodule:: plotpy.mathutils.colormap :no-index: PlotPyStack-PlotPy-2af0906/doc/features/mathutils/geometry.rst000066400000000000000000000000511525747167300245040ustar00rootroot00000000000000.. automodule:: plotpy.mathutils.geometryPlotPyStack-PlotPy-2af0906/doc/features/mathutils/index.rst000066400000000000000000000001551525747167300237650ustar00rootroot00000000000000Utilities ========= .. toctree:: :maxdepth: 2 :caption: Contents: geometry scaler colormaps PlotPyStack-PlotPy-2af0906/doc/features/mathutils/scaler.rst000066400000000000000000000000471525747167300241270ustar00rootroot00000000000000.. automodule:: plotpy.mathutils.scalerPlotPyStack-PlotPy-2af0906/doc/features/panels/000077500000000000000000000000001525747167300213735ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/doc/features/panels/index.rst000066400000000000000000000001641525747167300232350ustar00rootroot00000000000000.. _panels: Plot panels =========== .. toctree:: :maxdepth: 2 :caption: Contents: overview reference PlotPyStack-PlotPy-2af0906/doc/features/panels/overview.rst000066400000000000000000000015371525747167300240010ustar00rootroot00000000000000Overview -------- A `plot panel` is a graphical user interface element that interacts with a `plot` object, `plot items` and `plot tools`. Panels are objects inheriting from the :py:class:`.PanelWidget` class. .. seealso:: :ref:`plot` Ready-to-use curve and image plotting widgets and dialog boxes :ref:`items` Plot items: curves, images, markers, etc. :ref:`tools` Plot tools: zoom, pan, etc. The built-in panels are: * :py:data:`plotpy.constants.ID_ITEMLIST`: `item list` panel * :py:data:`plotpy.constants.ID_CONTRAST`: `contrast adjustment` panel * :py:data:`plotpy.constants.ID_XCS`: `X-axis cross section` panel * :py:data:`plotpy.constants.ID_YCS`: `Y-axis cross section` panel * :py:data:`plotpy.constants.ID_OCS`: `oblique cross section` panel * :py:data:`plotpy.constants.ID_LCS`: `line cross section` panel PlotPyStack-PlotPy-2af0906/doc/features/panels/reference.rst000066400000000000000000000003101525747167300240550ustar00rootroot00000000000000:tocdepth: 3 Reference --------- .. automodule:: plotpy.panels.base .. automodule:: plotpy.panels.itemlist .. automodule:: plotpy.panels.contrastadjustment .. automodule:: plotpy.panels.csection PlotPyStack-PlotPy-2af0906/doc/features/plot/000077500000000000000000000000001525747167300210675ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/doc/features/plot/examples.rst000066400000000000000000000017301525747167300234400ustar00rootroot00000000000000Examples -------- Using :class:`.PlotWidget` ^^^^^^^^^^^^^^^^^^^^^^^^^^ The following example shows how to use the :class:`.PlotWidget` class to create a simple plot with a curve and a filtering tool. In this example, the plot manager (see :class:`.PlotManager`) is not used, at least not directly: the plot manager is integrated in the :class:`.PlotWidget` class. .. literalinclude:: ../../../plotpy/tests/widgets/test_filtertest1.py :start-after: guitest: .. image:: ../../images/screenshots/filtertest1.png Using a plot manager ^^^^^^^^^^^^^^^^^^^^ Even if this simple example does not justify the use of the :class:`.PlotManager` (this is an unnecessary complication here), it shows how to use it. In more complex applications, using the :class:`.PlotManager` allows to design highly versatile graphical user interfaces. .. literalinclude:: ../../../plotpy/tests/widgets/test_filtertest2.py :start-after: guitest: .. image:: ../../images/screenshots/filtertest2.png PlotPyStack-PlotPy-2af0906/doc/features/plot/index.rst000066400000000000000000000027501525747167300227340ustar00rootroot00000000000000.. _plot: Plot widgets ============ A :mod:`plotpy`-based plotting widget may be constructed using one of the following methods: * *Interactive mode*: when manipulating and visualizing data in an interactive Python or IPython interpreter, the :py:mod`.pyplot` module provide the easiest way to plot curves, show images and more. Syntax is similar to MATLAB's, thus very easy to learn and to use interactively. * *Script mode*: when manipulating and visualizing data using a script, the :py:mod`.pyplot` module is still a good choice as long as you don't need to customize the figure graphical user interface (GUI) layout. However, if you want to add other widgets to the GUI, like menus, buttons and so on, you should rather use plotting widget classes instead of the `pyplot` helper functions. There are two kinds of plotting widgets defined in :mod:`plotpy`: * low-level plotting widget: :py:class:`.plot.base.BasePlot` * high-level plotting widgets (ready-to-use widgets with integrated tools and panels): :py:class:`.plot.PlotWidget` and corresponding dialog box :py:class:`.plot.PlotDialog` and window :py:class:`.plot.PlotWindow` Plot widgets with integrated plot manager: .. image:: ../../images/plot_widgets.png .. seealso:: :ref:`items` Plot items: curves, images, markers, etc. :ref:`plot` Ready-to-use curve and image plotting widgets and dialog boxes .. toctree:: :maxdepth: 2 :caption: Contents: overview examples reference PlotPyStack-PlotPy-2af0906/doc/features/plot/overview.rst000066400000000000000000000021241525747167300234660ustar00rootroot00000000000000Overview -------- Features ^^^^^^^^ The `plot` module provides the following features: * :py:class:`.PlotManager`: the `plot manager` is an object to link `plots`, `panels` and `tools` together for designing highly versatile graphical user interfaces * :py:class:`.PlotWidget`: a ready-to-use widget for curve/image displaying with an integrated and preconfigured `plot manager` providing the `item list panel` and curve/image-related `tools` * :py:class:`.PlotDialog`: a ready-to-use dialog box for curve/image displaying with an integrated and preconfigured `plot manager` providing the `item list panel` and curve/image-related `tools` * :py:class:`.SyncPlotWindow`: a ready-to-use window for curve/image displaying with plot axes synchronization .. seealso:: :ref:`items` Plot items: curves, images, markers, text, etc. :ref:`tools` Plot tools: zoom, pan, etc. Class diagrams ^^^^^^^^^^^^^^ Plot widgets with integrated plot manager: .. image:: ../../images/plot_widgets.png Building your own plot manager: .. image:: ../../images/my_plot_manager.png PlotPyStack-PlotPy-2af0906/doc/features/plot/reference.rst000066400000000000000000000011231525747167300235540ustar00rootroot00000000000000:tocdepth: 3 Reference --------- High-level features ^^^^^^^^^^^^^^^^^^^ .. autoclass:: plotpy.plot.manager.PlotManager :members: .. autoclass:: plotpy.plot.PlotOptions :members: .. autoclass:: plotpy.plot.PlotWidget :members: .. autoclass:: plotpy.plot.PlotDialog :members: .. autoclass:: plotpy.plot.PlotWindow :members: .. autoclass:: plotpy.plot.SyncPlotWindow :members: Low-level features ^^^^^^^^^^^^^^^^^^ .. autoclass:: plotpy.constants.PlotType :members: .. autoclass:: plotpy.plot.BasePlot :members: .. autoclass:: plotpy.plot.BasePlotOptions :members: PlotPyStack-PlotPy-2af0906/doc/features/pyplot.rst000066400000000000000000000000611525747167300221670ustar00rootroot00000000000000.. module:: pyplot .. automodule:: plotpy.pyplot PlotPyStack-PlotPy-2af0906/doc/features/resizedialog.rst000066400000000000000000000000541525747167300233230ustar00rootroot00000000000000.. automodule:: plotpy.widgets.resizedialog PlotPyStack-PlotPy-2af0906/doc/features/rotatecrop.rst000066400000000000000000000000521525747167300230220ustar00rootroot00000000000000.. automodule:: plotpy.widgets.rotatecrop PlotPyStack-PlotPy-2af0906/doc/features/selectdialog.rst000066400000000000000000000000541525747167300233010ustar00rootroot00000000000000.. automodule:: plotpy.widgets.selectdialog PlotPyStack-PlotPy-2af0906/doc/features/signals.rst000066400000000000000000000032571525747167300223120ustar00rootroot00000000000000Qt signals ---------- In `guiqwt` version 2, the `signals` module used to contain constants defining the custom Qt ``SIGNAL`` objects used by `guiqwt`: the signals definition were gathered there to avoid misspelling signals at connect and emit sites (with old-style signals, any misspelled signal string would have lead to a silent failure of signal emission or connection). Since version 3, to ensure PyQt5 compatibility, `guiqwt` and thus plotpy are using only new-style signals and slots. All signals are summarized below, in order to facilitate migration from `guiqwt` v2 to v3, then to plotpy. Signals emitted by :py:class:`.BasePlot` objects: - :py:attr:`.BasePlot.SIG_ITEM_MOVED` - :py:attr:`.BasePlot.SIG_ITEM_HANDLE_MOVED` - :py:attr:`.BasePlot.SIG_ITEM_RESIZED` - :py:attr:`.BasePlot.SIG_ITEM_ROTATED` - :py:attr:`.BasePlot.SIG_MARKER_CHANGED` - :py:attr:`.BasePlot.SIG_AXES_CHANGED` - :py:attr:`.BasePlot.SIG_ANNOTATION_CHANGED` - :py:attr:`.BasePlot.SIG_RANGE_CHANGED` - :py:attr:`.BasePlot.SIG_ITEMS_CHANGED` - :py:attr:`.BasePlot.SIG_ITEM_PARAMETERS_CHANGED` - :py:attr:`.BasePlot.SIG_ACTIVE_ITEM_CHANGED` - :py:attr:`.BasePlot.SIG_ITEM_REMOVED` - :py:attr:`.BasePlot.SIG_ITEM_SELECTION_CHANGED` - :py:attr:`.BasePlot.SIG_PLOT_LABELS_CHANGED` - :py:attr:`.BasePlot.SIG_AXIS_DIRECTION_CHANGED` - :py:attr:`.BasePlot.SIG_LUT_CHANGED` - :py:attr:`.BasePlot.SIG_MASK_CHANGED` - :py:attr:`.BasePlot.SIG_CS_CURVE_CHANGED` Signals emitted by other objects: - :py:attr:`.PanelWidget.SIG_VISIBILITY_CHANGED` - :py:attr:`.InteractiveTool.SIG_VALIDATE_TOOL` - :py:attr:`.InteractiveTool.SIG_TOOL_JOB_FINISHED` - :py:attr:`.OpenFileTool.SIG_OPEN_FILE` - :py:attr:`.ImageMaskTool.SIG_APPLIED_MASK_TOOL` PlotPyStack-PlotPy-2af0906/doc/features/styles/000077500000000000000000000000001525747167300214345ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/doc/features/styles/index.rst000066400000000000000000000002221525747167300232710ustar00rootroot00000000000000.. _styles: Styles for items and tools ========================== .. toctree:: :maxdepth: 2 :caption: Contents: overview reference PlotPyStack-PlotPy-2af0906/doc/features/styles/overview.rst000066400000000000000000000010111525747167300240250ustar00rootroot00000000000000Overview -------- The `styles` module (see :ref:`styles`) provides the classes for configuring the plot items and the plot tools. Those classes are data sets (:py:class:`guidata.dataset.DataSet`) containing parameters that affect the visual appearance of the plot items and the plot tools behavior. .. seealso:: :ref:`plot` Ready-to-use curve and image plotting widgets and dialog boxes :ref:`items` Plot items: curve, image, shapes, etc. :ref:`tools` Plot tools: zoom, pan, etc. PlotPyStack-PlotPy-2af0906/doc/features/styles/reference.rst000066400000000000000000000034531525747167300241310ustar00rootroot00000000000000:tocdepth: 3 Reference --------- Base classes ^^^^^^^^^^^^ .. autoclass:: plotpy.styles.base.ItemParameters :members: Plot (grid, axes) ^^^^^^^^^^^^^^^^^ .. autoclass:: plotpy.styles.GridParam :members: .. autoclass:: plotpy.styles.AxesParam :members: .. autoclass:: plotpy.styles.ImageAxesParam :members: Curve items ^^^^^^^^^^^ .. autoclass:: plotpy.styles.CurveParam :members: .. autoclass:: plotpy.styles.ErrorBarParam :members: Image items ^^^^^^^^^^^ .. autoclass:: plotpy.styles.RawImageParam :members: .. autoclass:: plotpy.styles.ImageParam :members: .. autoclass:: plotpy.styles.TrImageParam :members: .. autoclass:: plotpy.styles.XYImageParam :members: .. autoclass:: plotpy.styles.RGBImageParam :members: .. autoclass:: plotpy.styles.MaskedImageParam :members: .. autoclass:: plotpy.styles.MaskedXYImageParam :members: .. autoclass:: plotpy.styles.ImageFilterParam :members: .. autoclass:: plotpy.styles.QuadGridParam :members: Histogram items ^^^^^^^^^^^^^^^ .. autoclass:: plotpy.styles.HistogramParam :members: .. autoclass:: plotpy.styles.Histogram2DParam :members: Shape items ^^^^^^^^^^^ .. autoclass:: plotpy.styles.LabelParam :members: .. autoclass:: plotpy.styles.LegendParam :members: .. autoclass:: plotpy.styles.ShapeParam :members: .. autoclass:: plotpy.styles.AnnotationParam :members: .. autoclass:: plotpy.styles.AxesShapeParam :members: .. autoclass:: plotpy.styles.RangeShapeParam :members: .. autoclass:: plotpy.styles.MarkerParam :members: .. autoclass:: plotpy.styles.FontParam :members: .. autoclass:: plotpy.styles.SymbolParam :members: .. autoclass:: plotpy.styles.LineStyleParam :members: .. autoclass:: plotpy.styles.BrushStyleParam :members: .. autoclass:: plotpy.styles.TextStyleParam :members: PlotPyStack-PlotPy-2af0906/doc/features/tools/000077500000000000000000000000001525747167300212515ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/doc/features/tools/examples.rst000066400000000000000000000004271525747167300236240ustar00rootroot00000000000000Example ------- The following example add all the existing image tools to a :class:`.PlotWidget` object for testing purpose: .. literalinclude:: ../../../plotpy/tests/tools/test_image_plot_tools.py :start-after: guitest: .. image:: /images/screenshots/image_plot_tools.png PlotPyStack-PlotPy-2af0906/doc/features/tools/index.rst000066400000000000000000000001751525747167300231150ustar00rootroot00000000000000.. _tools: Plot tools ========== .. toctree:: :maxdepth: 2 :caption: Contents: overview examples reference PlotPyStack-PlotPy-2af0906/doc/features/tools/overview.rst000066400000000000000000000014251525747167300236530ustar00rootroot00000000000000Overview -------- A `plot tool` is an object providing various features to a plotting widget (:py:class:`.BasePlot`): * Buttons, * Menus, * Selection tools, * Image I/O tools, * Etc. Before being used, a tool has to be registered to a plotting widget's manager, i.e. an instance of the :py:class:`.PlotManager` class (see :ref:`plot` for more details). The :py:class:`.BasePlot` widget do not provide any :py:class:`.PlotManager`: the manager has to be created separately. On the contrary, the ready-to-use widget :py:class:`.PlotWidget` are higher-level plotting widgets with integrated manager, tools and panels. .. seealso:: :ref:`plot` Ready-to-use curve and image plotting widgets and dialog boxes :ref:`items` Plot items: curves, images, markers, etc. PlotPyStack-PlotPy-2af0906/doc/features/tools/reference.rst000066400000000000000000000076511525747167300237520ustar00rootroot00000000000000:tocdepth: 3 Reference --------- Base classes ^^^^^^^^^^^^ .. autoclass:: plotpy.tools.base.GuiTool :members: .. autoclass:: plotpy.tools.base.GuiToolT :members: .. autoclass:: plotpy.tools.InteractiveTool :members: .. autoclass:: plotpy.tools.CommandTool :members: .. autoclass:: plotpy.tools.ActionTool :members: .. autoclass:: plotpy.tools.PanelTool :members: Plot tools ^^^^^^^^^^ .. autoclass:: plotpy.tools.DoAutoscaleTool :members: .. autoclass:: plotpy.tools.DisplayCoordsTool :members: .. autoclass:: plotpy.tools.RectZoomTool :members: .. autoclass:: plotpy.tools.DummySeparatorTool :members: .. autoclass:: plotpy.tools.RectangularSelectionTool :members: Item tools ^^^^^^^^^^ .. autoclass:: plotpy.tools.SelectTool :members: .. autoclass:: plotpy.tools.ItemListPanelTool :members: .. autoclass:: plotpy.tools.SaveItemsTool :members: .. autoclass:: plotpy.tools.LoadItemsTool :members: .. autoclass:: plotpy.tools.ExportItemDataTool :members: .. autoclass:: plotpy.tools.EditItemDataTool :members: .. autoclass:: plotpy.tools.ItemCenterTool :members: .. autoclass:: plotpy.tools.DeleteItemTool :members: Shape tools ^^^^^^^^^^^ .. autoclass:: plotpy.tools.MultiLineTool :members: .. autoclass:: plotpy.tools.PolygonTool :members: .. autoclass:: plotpy.tools.LabelTool :members: .. autoclass:: plotpy.tools.RectangularShapeTool :members: .. autoclass:: plotpy.tools.RectangleTool :members: .. autoclass:: plotpy.tools.PointTool :members: .. autoclass:: plotpy.tools.SegmentTool :members: .. autoclass:: plotpy.tools.CircleTool :members: .. autoclass:: plotpy.tools.EllipseTool :members: .. autoclass:: plotpy.tools.AnnotatedRectangleTool :members: .. autoclass:: plotpy.tools.AnnotatedCircleTool :members: .. autoclass:: plotpy.tools.AnnotatedEllipseTool :members: .. autoclass:: plotpy.tools.AnnotatedPointTool :members: .. autoclass:: plotpy.tools.AnnotatedSegmentTool :members: .. autoclass:: plotpy.tools.AnnotatedPolygonTool :members: .. autoclass:: plotpy.tools.HRangeTool :members: Curve tools ^^^^^^^^^^^ .. autoclass:: plotpy.tools.CurveStatsTool :members: .. autoclass:: plotpy.tools.YRangeCursorTool :members: .. autoclass:: plotpy.tools.SelectPointTool :members: .. autoclass:: plotpy.tools.SelectPointsTool :members: .. autoclass:: plotpy.tools.EditPointTool :members: Image tools ^^^^^^^^^^^ .. autoclass:: plotpy.tools.ImageStatsTool :members: .. autoclass:: plotpy.tools.RotationCenterTool :members: .. autoclass:: plotpy.tools.ReverseYAxisTool :members: .. autoclass:: plotpy.tools.ZAxisLogTool :members: .. autoclass:: plotpy.tools.AspectRatioTool :members: .. autoclass:: plotpy.tools.ContrastPanelTool :members: .. autoclass:: plotpy.tools.ColormapTool :members: .. autoclass:: plotpy.tools.ReverseColormapTool :members: .. autoclass:: plotpy.tools.LockLUTRangeTool :members: .. autoclass:: plotpy.tools.XCSPanelTool :members: .. autoclass:: plotpy.tools.YCSPanelTool :members: .. autoclass:: plotpy.tools.CrossSectionTool :members: .. autoclass:: plotpy.tools.AverageCrossSectionTool :members: .. autoclass:: plotpy.tools.LineCrossSectionTool :members: .. autoclass:: plotpy.tools.ImageMaskTool :members: Curve tools ^^^^^^^^^^^ .. autoclass:: plotpy.tools.AntiAliasingTool :members: .. autoclass:: plotpy.tools.DownSamplingTool :members: Axes tools ^^^^^^^^^^ .. autoclass:: plotpy.tools.AxisScaleTool :members: .. autoclass:: plotpy.tools.PlaceAxesTool :members: Miscellaneous tools ^^^^^^^^^^^^^^^^^^^ .. autoclass:: plotpy.tools.SaveAsTool :members: .. autoclass:: plotpy.tools.CopyToClipboardTool :members: .. autoclass:: plotpy.tools.OpenFileTool :members: .. autoclass:: plotpy.tools.OpenImageTool :members: .. autoclass:: plotpy.tools.SnapshotTool :members: .. autoclass:: plotpy.tools.PrintTool :members: .. autoclass:: plotpy.tools.HelpTool :members: PlotPyStack-PlotPy-2af0906/doc/images/000077500000000000000000000000001525747167300175405ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/doc/images/my_plot_manager.png000066400000000000000000001232631525747167300234320ustar00rootroot00000000000000‰PNG  IHDRŠฒcตๅั pHYs @ @่ึtEXtSoftwarewww.inkscape.org›๎< IDATxœ์yt\ื}'๘๏ฝoฉฝ จBa!๖Ap_EQd(9’%[nIถl+ถ’Nz:9=3I๚๔,9™ำหtOบ3ำ้“tทใ%ฑKฒฌอ’Ekแ"ฎAฤB์๛VXjA-oนw(X $(b#y?็๐ฌzช๛ฝ฿ฝฟ{ ็™\ธp!O–ๅcุย9๗P2.,‚ ‚ /tBศ€aฮ๙ำ4O:th,ำ‚dq ุะะเaŒ}‹R๚4็\^ฃAA6!ฤ๐€๏๏ท/ธเฝ๔@๑๒ๅห„‹sžทฮว(‚ ‚ lฌ€ข(ผkืฎ›ฉๆลฦฦฦ*ฮ๙ๆœ6์๐AA„ C‰๘Ÿ๗ํืฬŠ ฮ๙_๐o์แ ‚ ‚ lœ๒?๎ท/H€1๖-ˆ QAAr9็฿r๙žแœใN7{Mำ(จชz_|ฮœ9“{แย…‚'Ÿ|ฒo฿พ}S}<้V๒นoF>Ÿฏศแpˆn\›ข(ฐZญYNง3w||ผKื๕ฤFำ}โฬ9/่ฃ„‡มซฏพZ633c€^xกว๋๕jwZ็7( 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ั‹ไBถm‹ฯ|%กŽฝฤ|พ+(jmก_xฎI Mcๅ™U1ผGœ›ฎ+ฒผTˆๅฟศ*b จ(‚็แยอกฦ๙\ƒ JK-นwั๒EjอŸšl“B{้๋๘Pวซๅ–Ÿ„žุ žิTnษถ‘ก_8ผ~ %fู=ฉ~ซฝx^สkv ”[ฉ?ฯ–บ้:๚ฤ ฟิญ๓บฏ๛ห๙ ิCFj‡/ มKม]HŸpชLหฮฉฐญกj`๓ฅ$กู๊๋๘Pวซๅ>๙ษ๑บm‚ๅ,ํQ8œฦ๒ฅXRขวํโฆ็Jฌ7(ป„a ถ๐ิ_6บ}ฬ%เTqAIฯf๔ ม-้uฺŽ~^-w๙I?aCฝฦlนnV^X`AทัmRzก่๖1ฝ\ถไฌ(ณฬฺbู่(œ]–ึชพ\$…B!<Šฆ†…B!<Š„ B!„G‘B!„๐(‚B๏ฒq™ลล-ณก8`ห.๘,„C A!„wY๐ผญ๛๖‹๖์ฺ*๗ฑjํณf๋žท๎“B }ดkXแq|ึฆญ[lๅะ/lxยาB฿!ฤPGBPแyชึ.ดŒงฬžูนมž BxM !`_:: pip install plotpy Installation from source ------------------------ To install from source, clone the repository or download the source package from `PyPI `_. Then run the following command (using `build `_):: python -m build PlotPyStack-PlotPy-2af0906/doc/intro/licenses.rst000066400000000000000000003162251525747167300217760ustar00rootroot00000000000000======== Licenses ======== General Information =================== plotpy incorporates code and image assets from various external sources, each of which is covered by its own license and copyright notice. These files are listed here with their corresponding authors, permission notices, disclaimers, and copyright statements; these are also included in the files' directory and/or their headers, as appropriate. Any file not listed here is covered by plotpy's license, described in the LICENSE file in this repository. Images, icons and font gyphs that include trademarked elements are used for informational purposes only, and do not necessarily constitute any endorsement, association or ownership by or of the marks or their respective owners. All trademarks are the property of their respective owners. ------------------------------------------------------------------------------- Source code licenses: * plotpy License (BSD 3-Clause License) * MIT (Expat) License * 3-Clause ("Modified") BSD License * Python Software Foundation License Version 2 Additional asset licenses: * GNU LGPL 2.1 (with GPL 2.0) * GNU LGPL 3.0 (with GPL 3.0) * Creative Commons Attribution 3.0 ------------------------------------------------------------------------------- Icons under plotpy/images ========================= The following lists the source, license and accompanying details for image and icon under the plotpy/images directory. ------------------------------------------------------------------------------- Crystal Project Icons --------------------- | Copyright (c) 2006-2007 Everaldo Coelho | Author: Everaldo Coelho | everaldo@everaldo.com | Site: https://www.everaldo.com | Source: https://store.kde.org/p/1002590/ | Download (mirror): https://github.com/thecodingmachine/crystal-project | License: GNU Lesser General Public License 2.1 or later https://www.gnu.org/licenses/old-licenses/lgpl-2.1.html No modifications made. 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Later versions of the GNU LGPL may be found at: https://www.gnu.org/licenses/lgpl.html Files covered: * plotpy/images/arrow_down.png * plotpy/images/arrow_up.png * plotpy/images/editors/copywop.png * plotpy/images/editors/edit.png * plotpy/images/editors/editclear.png * plotpy/images/editors/editcopy.png * plotpy/images/editors/editcut.png * plotpy/images/editors/editdelete.png * plotpy/images/editors/editpaste.png * plotpy/images/editors/edit_add.png * plotpy/images/eraser.png * plotpy/images/exit.png * plotpy/images/editors/imshow.png * plotpy/images/editors/insert.png * plotpy/images/magnifier.png * plotpy/images/editors/plot.png * plotpy/images/editors/rename.png * plotpy/images/fileclose.png * plotpy/images/fileimport.png * plotpy/images/filenew.png * plotpy/images/fileopen.png * plotpy/images/filesave.png * plotpy/images/filesaveas.png * plotpy/images/print.png * plotpy/images/save_all.png ------------------------------------------------------------------------------- Python Logo ----------- Copyright (c) 2008 Python Software Foundation | Author: Python Software Foundation | https://www.python.org/ | Source/Download: https://www.python.org/community/logos/ | License: Python Software Foundation License Version 2 https://docs.python.org/3/license.html | Trademark: Python Software Foundation Trademark Usage Policy https://www.python.org/psf/trademarks/ No modifications made. 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You may not convey a covered work if you are a party to an arrangement with a third party that is in the business of distributing software, under which you make payment to the third party based on the extent of your activity of conveying the work, and under which the third party grants, to any of the parties who would receive the covered work from you, a discriminatory patent license (a) in connection with copies of the covered work conveyed by you (or copies made from those copies), or (b) primarily for and in connection with specific products or compilations that contain the covered work, unless you entered into that arrangement, or that patent license was granted, prior to 28 March 2007. Nothing in this License shall be construed as excluding or limiting any implied license or other defenses to infringement that may otherwise be available to you under applicable patent law. 12. No Surrender of Others' Freedom. If conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot convey a covered work so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not convey it at all. For example, if you agree to terms that obligate you to collect a royalty for further conveying from those to whom you convey the Program, the only way you could satisfy both those terms and this License would be to refrain entirely from conveying the Program. 13. Use with the GNU Affero General Public License. Notwithstanding any other provision of this License, you have permission to link or combine any covered work with a work licensed under version 3 of the GNU Affero General Public License into a single combined work, and to convey the resulting work. 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If the Program does not specify a version number of the GNU General Public License, you may choose any version ever published by the Free Software Foundation. If the Program specifies that a proxy can decide which future versions of the GNU General Public License can be used, that proxy's public statement of acceptance of a version permanently authorizes you to choose that version for the Program. Later license versions may give you additional or different permissions. However, no additional obligations are imposed on any author or copyright holder as a result of your choosing to follow a later version. 15. Disclaimer of Warranty. THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. 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IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. 17. Interpretation of Sections 15 and 16. If the disclaimer of warranty and limitation of liability provided above cannot be given local legal effect according to their terms, reviewing courts shall apply local law that most closely approximates an absolute waiver of all civil liability in connection with the Program, unless a warranty or assumption of liability accompanies a copy of the Program in return for a fee. END OF TERMS AND CONDITIONS How to Apply These Terms to Your New Programs If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively state the exclusion of warranty; and each file should have at least the "copyright" line and a pointer to where the full notice is found. Copyright (C) This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see . Also add information on how to contact you by electronic and paper mail. If the program does terminal interaction, make it output a short notice like this when it starts in an interactive mode: Copyright (C) This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. This is free software, and you are welcome to redistribute it under certain conditions; type `show c' for details. The hypothetical commands `show w' and `show c' should show the appropriate parts of the General Public License. Of course, your program's commands might be different; for a GUI interface, you would use an "about box". You should also get your employer (if you work as a programmer) or school, if any, to sign a "copyright disclaimer" for the program, if necessary. For more information on this, and how to apply and follow the GNU GPL, see . The GNU General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Lesser General Public License instead of this License. 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This means that you can use your IDE to get autocompletion and type checking (e.g. with VSCode, Visual Studio, etc.). This is a major improvement when you write code using PlotPy V2: you can rely on the type annotations to understand what a function does and what it returns, and your IDE can help you a lot with autocompletion and type checking. To sum up, PlotPy V2 is a more modern and more maintainable codebase that will allow developers to create plotting applications even more easily than before. From an end-user point of view, PlotPy V2 is also a significant improvement over PlotPy V1: * PlotPy V2 is more stable and more robust thanks to the new `pytest`-based automated test suite, with a 70% code coverage. * PlotPy V2 benefits from the backport of many bug fixes and improvements that were made in the guiqwt codebase since PlotPy V1 was released (i.e. from 2016 to 2023). * PlotPy V2 provides tons of new features (e.g. alpha function for better transparency control, refined contour plots, synchronized multiple plots, selection dialog boxes, SVG-based shapes, JSON de/serialization of plot items, new simple way to create plotting widgets with `PlotBuilder`, etc.) * PlotPy V2 will be maintained and improved in the future, while PlotPy V1 is not maintained anymore. Some significant improvements are already planned for the next releases (e.g. enhanced color maps, new plot items, etc.) What are PlotPy V2 advantages over guiqwt? ------------------------------------------ Except from the backporting of bug fixes and improvements that were made in the guiqwt codebase since PlotPy V1 was released (i.e. from 2016 to 2023), PlotPy V2 provides the same advantages over guiqwt as PlotPy V1: see previous section.PlotPyStack-PlotPy-2af0906/doc/intro/overview.rst000066400000000000000000000111201525747167300220210ustar00rootroot00000000000000Overview ======== Main features ------------- :mod:`plotpy` is a Python module providing a set of high-level widgets and functions to ease plotting data with Python and Qt. It can also be seen as a handy toolbox to develop custom scientific or technical data visualization applications using Python and Qt. :mod:`plotpy` is part of the `PlotPyStack`_ project, a software stack for scientific data visualization containing the following modules: * :mod:`guidata`: a Python library generating graphical user interfaces (GUIs) for easy dataset editing and display. It also provides helpers and application development tools for creating Qt applications. * :mod:`qwt` (PythonQwt): a Python reimplementation of the Qwt C++ library which provides a lot of plotting types and a flexible widget class (:py:class:`qwt.plot.QwtPlot`) which may be used to create custom plotting widgets. :mod:`plotpy` is also based on the following Python modules: * :mod:`numpy`: a Python module providing efficient array manipulation facilities. * :mod:`scipy`: a Python module providing scientific computing tools. The :mod:`plotpy` library provides the following main features: * Curve and image ready-to-use plotting widgets and dialog boxes * Components for custom plotting widgets and Qt applications * Curve fitting tools * Interactive plotting tools * And more... Advanced features ----------------- The :mod:`plotpy` library provides the following advanced features. Curve plotting: * Curve fitting tools * Interval selection tools for computing on selected area Image plotting: * Contrast adjustment panel * X-axis and Y-axis cross-sections * Powerful C++ image transform engine for real-time affine transform, interpolation (including antialiasing) or non-linear X and Y axes Performance ----------- The most popular Python module for data plotting for desktop applications is `matplotlib`. It is a very powerful module providing a lot of plotting types and an API (the `pylab` interface) which is very close to MATLAB's plotting interface. Even if :mod:`plotpy` plotting features are quite limited in terms of plot types compared to `matplotlib`, the currently implemented plot types are much more efficient. For example, the :mod:`plotpy` image showing features do not make any copy of the displayed data, hence allowing to show images that are much larger than what is possible with `matplotlib`. Moreover, the memory footprint of :mod:`plotpy` is much smaller than `matplotlib`'s one. For example, a 30-MB image is displayed using 30-MB of memory with `plotpy` whereas `matplotlib` uses more than 600-MB of memory to display the same image. This is due to the fact that `matplotlib` makes multiple copies of the original data array: the original array is duplicated four times using 64-bits float data types. Detailed features ----------------- The :mod:`plotpy` library provides the following features: * :mod:`pyplot`: equivalent to :py:mod:`matplotlib.pyplot`, at least for the implemented functions * :ref:`items`: 1D histogram, curve, error bar curve, image, label, shapes (polygon, polyline, rectangle, circle, ellipse, segment, etc.), annotations (shapes with labels showing position and dimensions), markers, etc. * :ref:`plot`: - ready-to-use plotting widgets (widget, dialog box, window) - multiple curve/image selection for moving curves or editing their properties through automatically generated dialog boxes - item list panel: move curves/images from foreground to background, show/hide curves/images, remove curves/images, ... - specific curve features: - interval selection tools with labels showing results of computing on selected area - curve fitting tool with automatic fit, manual fit with sliders, ... - specific image features: - contrast adjustment panel: select the LUT by moving a range selection object on the image levels histogram, eliminate outliers, ... - X-axis and Y-axis cross-sections: support for multiple images, average cross-section tool on a rectangular area, ... - apply any affine transform to displayed images in real-time (rotation, magnification, translation, horizontal/vertical flip, ...) - ready-to-use tools (plot canvas export to image file, image snapshot, image rectangular filter, ...) * application development helpers: - ready-to-use curve and image plot widgets, dialog boxes and windows - graphical objects (curves, images, shapes) serialization/deserialization to/from ``.ini``, ``.h5`` or ``.json`` files - a lot of test scripts (see :ref:`examples`) .. _PlotPyStack: https://github.com/PlotPyStack PlotPyStack-PlotPy-2af0906/doc/release_notes/000077500000000000000000000000001525747167300211235ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/doc/release_notes/index.rst000066400000000000000000000003711525747167300227650ustar00rootroot00000000000000Release notes ============= This section contains the release notes for all versions of :mod:`plotpy`, documenting new features, improvements, bug fixes, and breaking changes. .. toctree:: :maxdepth: 1 :glob: :reversed: release_* PlotPyStack-PlotPy-2af0906/doc/release_notes/release_2.00.md000066400000000000000000000173201525747167300235270ustar00rootroot00000000000000# Version 2.0 # ## PlotPy Version 2.0.3 (2023-12-22) ## Bug fixes: * [Issue #9](https://github.com/PlotPyStack/PlotPy/issues/9) - MacOS: `error: a space is required between consecutive right angle brackets (use '> >')` ## PlotPy Version 2.0.2 (2023-12-15) ## Bug fixes: * [Issue #3](https://github.com/PlotPyStack/PlotPy/issues/3) - `PlotWidget`: `ZeroDivisionError` on resize while ignoring constraints * [Issue #4](https://github.com/PlotPyStack/PlotPy/issues/4) - Average cross section: `RuntimeWarning: Mean of empty slice.` * [Issue #5](https://github.com/PlotPyStack/PlotPy/issues/5) - Contrast panel: levels histogram is sometimes not updated * [Issue #6](https://github.com/PlotPyStack/PlotPy/issues/6) - 1D Histogram items are not properly drawn * [Issue #7](https://github.com/PlotPyStack/PlotPy/issues/7) - Contrast panel: histogram may contains zeros periodically due to improper bin sizes * [Issue #8](https://github.com/PlotPyStack/PlotPy/issues/8) - Contrast panel: switch back to default tool after selecting min/max ## PlotPy Version 2.0.1 (2023-11-29) ## Bug fixes: * Fixed `plotpy.tools.AnnotatedEllipseTool`: `AttributeError` when finalizing the shape * `plotpy.widgets.select_with_shape_tool`: added missing `toolbar` and `options` parameters * `items.XRangeSelection` is now serializable, as expected Documentation: * `plotpy.plot.SyncPlotWindow`: added missing documentation * Added more information on PlotPyStack * New "Motivation" section explaining the reasons behind the creation of PlotPy ## PlotPy Version 2.0.0 (2023-10-25) ## This version is the first release of the 2.0 series, which is distributed under the [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause). PlotPy 2.0 is a major release that brings a lot of new features and bug fixes. When initiated in 2016, PlotPy 1.0 was the result of the merge of two projects (as well as some other changes, e.g. a redesign of the API): * [guidata](https://pypi.org/project/guidata/), a Python library generating graphical user interfaces for easy dataset editing and display * [guiqwt](https://pypi.org/project/guiqwt/), a Python library providing efficient 2D data-plotting features (curve/image visualization and related tools) for interactive computing and signal/image processing application development With PlotPy 2.0, the [guidata](https://pypi.org/project/guidata/) code base has been reextracted: PlotPy now relies on [guidata](https://pypi.org/project/guidata/) as a dependency, like before the merge. PlotPy 2.0 also integrates all the bug fixes (>30) and new features that were added to [guiqwt](https://pypi.org/project/guiqwt/) since the merge (i.e. between 2016 and 2023). Supported versions of Python and Qt bindings have been updated: * Python: 3.8, 3.9, and 3.10 (3.11 should work too, but will be officially supported when dropping support for Python 3.8, to keep a 3-year support period) * Qt bindings: PyQt5 (even if PyQt6 and PySide6 are not officially supported, efforts have been made and will continue to be made to support them) PlotPy 2.0 is a major release because it also brings a lot of new features: * `plot.PlotWidget`, `plot.PlotDialog`, and `plot.PlotWindow`: API overhaul (simple, more consistent, more flexible, more extensible - see documentation for details) * `plot.SyncPlotWindow`: new class to show multiple plots in a single window, in a synchronized way (zoom, pan, etc.) * `widgets.selectdialog.SelectDialog`: a dialog box to select items using a shape tool (segment, rectangle or custom) * Image lookup table (LUT): * Initially, the LUT alpha channel was either constant (input parameter `alpha` was a float between 0 and 1) or linearly dependent on the image pixel values (when the `alpha_mask` parameter was enabled) * Now, the LUT may be either constant (same as before) or dependent on the image pixel values but not only linearly: the LUT alpha channel may follow a linear, a sigmoid or an hyperbolic tangent function (see the new `alpha_function` parameter). The old `alpha_mask` parameter was removed * Image pixels are now centered on their coordinates: * This means that the pixel at row `i` and column `j` is centered on the point `(j, i)` (before, the top-left corner of the pixel at row `i` and column `j` was centered on the point `(j, i)`) * This convention is more consistent with the way images are displayed in other scientific image processing tools * This is one of the benefits of porting back [guiqwt](https://pypi.org/project/guiqwt/) changes since the merge (i.e. between 2016 and 2023) * New SVG-based shapes: * `items.RectangleSVGShape`: rectangle shape based on SVG data or file * `items.SquareSVGShape`: square shape based on SVG data or file * `items.CircleSVGShape`: circle shape based on SVG data or file * `builder.PlotBuilder`: * Renamed `PlotBuilder` (originally `guiqwt.builder.PlotItemBuilder`) * Builder instance is still available using `from plotpy.builder import make` * Plot widget creation is now supported: * `make.widget()` for `plot.PlotWidget` * `make.dialog()` for `plot.PlotDialog` * `make.window()` for `plot.PlotWindow` * Added support for more plot items: * `make.contours()` for generating a list of `items.ContourItem` objects * `make.annotated_point()` for `items.AnnotatedPoint` * `make.polygon()` for `items.PolygonShape` * `make.svg()` for `items.RectangleSVGShape`, `items.SquareSVGShape`, and `items.CircleSVGShape` * Added JSON serialization support for all plot items (curve, image, etc.) * Brand new documentation, based on Sphinx with links to other projects API, examples and tutorials (e.g. on development related topics). * Black code formatting on all Python files * New automated test suite: * Automatic execution: `--unattended` command line option (Qt loop is bypassed) * Test suite based on `pytest`, supporting `pytest-cov` for coverage testing, `pytest-xvfb` for headless testing, and `pytest-qt` for Qt testing * Added support for Coverage: test coverage improved up to 70% * Added typing annotations on (almost) all Python files * Distribution: switched to `pyproject.toml` (still relying on `setuptools` and `setup.py` for building Cython/C++ extensions) * Added code quality configuration files: * `.pylintrc`: pylint configuration file * `.isort.cfg`: isort configuration file * `.coveragerc`: coverage configuration file * Added Visual Studio Code configuration files: * `.vscode/settings.json`: Python interpreter, code formatting, etc. * `.vscode/tasks.json`: build, test, etc. * `.vscode/launch.json`: run current file, run tests, etc. PlotPy 2.0 also brings a lot of bug fixes and improvements: * Handled all Cython/C++ extensions compilation warnings * Fixed all NumPy deprecation issues (e.g. `numpy.matrix`) * Fixed (annotated) circle/ellipse item creation/test * Fixed all documentation build warnings * Fixed regressions introduced by PlotPy V1 on top of guiqwt: * Global references for the Debian package management * Major aspect ratio issues: * When resizing the plot widget (images were downsized indefinitely) * When auto-scaling the plot widget (images were not displayed entirely) * `TrImageItem` rotation algorithm * Oblique cross-section test * About dialog, version informations * Ported all [guiqwt](https://pypi.org/project/guiqwt/) bug fixes since the merge (i.e. between 2016 and 2023): * Added support for Visual Studio 2015 and earlier * Speeding-up image alpha channel calculation * Optimized colormap icon caching * X-axis direction and auto-scale * Added load test (with a very large number of plot widgets) * Coordinates inversion in `EllipseShape` * ValueError with levels histogram * Various fixes regarding plot item creation, cross-section features, PyQt5 support, DICOM support, TIFF support, etc. * Etc. PlotPyStack-PlotPy-2af0906/doc/release_notes/release_2.01.md000066400000000000000000000052271525747167300235330ustar00rootroot00000000000000# Version 2.1 # ## PlotPy Version 2.1.2 (2024-02-16) ## New features: * Added `Echelon` alpha function to the image parameters: * The `Echelon` alpha function is a step function, so that the alpha channel is 0 (full transparency) for the lowest value of the Lookup Table (LUT) and opaque (transparency level set by the `Global alpha` parameter) for the other values * This feature is added to the other existing alpha functions: `Constant`, `Linear`, `Sigmoid`, and `Hyperbolic tangent` Bug fixes: * Compatibility with PythonQwt 0.12. ## PlotPy Version 2.1.1 (2024-02-09) ## Bug fixes: * API breakage (unintentional) in V2.1.0: * In V2.1.0, `mathutils.colormap` module was renamed to `mathutils.colormaps` * Original `mathutils.colormap` module naming is restored in this release * Colormap selection from the toolbar was not triggering the `SIG_ITEMS_CHANGED` signal (every time an item parameter is changed, the `SIG_ITEMS_CHANGED` signal has to be emitted by the `BasePlot` instance to notify the application that the plot has been modified) ## PlotPy Version 2.1.0 (2024-02-08) ## In this release, test coverage is 71%. New features: * Curve-related features: * New `tools.SelectPointsTool` to select graphically multiple points on a plot * New `tools.EditPointTool` to edit graphically the position of a point on a plot * New downsampling feature: * The user may enable it to reduce the number of points displayed on a curve (e.g. when the curve is too dense) * The downsampling factor is adjustable (default to 10, i.e. 1 point out of 10 is displayed) * The feature is disabled by default * Image-related features: * New "Colormap Manager": * Before this release, the colormap selection was limited to presets (e.g. "gray", "jet", etc.) * Now, the user can select a preset, edit it, or create a new one from scratch thanks to the new "Colormap Manager" dialog * New line cross section feature: * Before this release, the cross section feature was limited to either horizontal or vertical lines, or an average cross section withing a rectangle (aligned with the axes, or oblique) * Now, the user can draw a line cross section with the new "Line Cross Section" tool: the intensity profile associated to the drawn segment is displayed in a dedicated plot * Added support for gestures: * Zooming in/out with the a two-finger pinch gesture * Panning with a two-finger drag gesture Documentation: * Reorganized some sections * Added sections on new features Bug fixes: * Fixed critical bug in oblique cross section feature (regression introduced in 2.0.0) * Removed dependency to `pytest-qt` for the test suite (due to Qt6 compatibility issues) PlotPyStack-PlotPy-2af0906/doc/release_notes/release_2.02.md000066400000000000000000000036671525747167300235420ustar00rootroot00000000000000# Version 2.2 # ## PlotPy Version 2.2.0 (2024-03-04) ## In this release, test coverage is 75%. New features: * Added `SIG_ITEM_PARAMETERS_CHANGED` signal to `BasePlot` class: * This signal is emitted when the parameters of an item are changed using the parameters dialog, or a specific tool (e.g. the colormap selection tool, or the lock/unlock tool for image items) * This signal is emitted with the item as argument * It is often emitted before the `SIG_ITEMS_CHANGED` signal, which is global to all items, but not necessarily. For example, when the colormap of an image is changed, the `SIG_ITEM_PARAMETERS_CHANGED` signal is emitted for the image item, but the `SIG_ITEMS_CHANGED` signal is not emitted. * Added new colormap presets: * `viridis`, `plasma`, `inferno`, `magma`, `cividis` * `afmhot` * `coolwarm`, `bwr`, `seismic` * `gnuplot2`, `CMRmap`, `rainbow`, `turbo` * Fixed all qualitative colormaps: * All qualitative colormaps have been re-computed because they are not supposed to be interpolated, which was the case and made them unusable * The qualitative colormaps are now usable and look like the ones from Matplotlib * Colormap manager: * Added a button to remove a custom colormap * The preset colormaps *and* the currently selected colormap are read-only * Added automatic unit tests for interactive tools: * `AnnotatedCircleTool`, `AnnotatedEllipseTool`, `AnnotatedObliqueRectangleTool`, `AnnotatedPointTool`, `AnnotatedRectangleTool`, `AnnotatedSegmentTool` * `AverageCrossSectionTool`, `CrossSectionTool`, `ObliqueCrossSectionTool`, `LineCrossSectionTool` * `EditPointTool`, `SelectPointsTool`, `SelectPointTool` * `AspectRatioTool`, `ImageStatsTool`, `SnapshotTool` * `DisplayCoordsTool`, `RectZoomTool` * `CircleTool`, `EllipseTool`, `FreeFormTool`, `MultiLineTool`, `ObliqueRectangleTool`, `PointTool`, `RectangleTool`, `SegmentTool` * Internal package reorganization: moved icons to `plotpy/data/icons` folder PlotPyStack-PlotPy-2af0906/doc/release_notes/release_2.03.md000066400000000000000000000113001525747167300235220ustar00rootroot00000000000000# Version 2.3 # ## PlotPy Version 2.3.5 (2024-06-21) ## This release is mainly intended to fix the Windows binary distribution, which was not supporting NumPy 2.0. ๐Ÿ› ๏ธ Bug fixes: * Moved back `conftest.py` to the `tests` folder (was in the root folder), so that `pytest` can be executed with proper configuration when running the test suite from the installed package * Removed benchmarks from automated test suite (not relevant for the end user): added `plotpy-benchmarks` script to run the benchmarks ## PlotPy Version 2.3.4 (2024-06-20) ## In this release, test coverage is 79%. ๐Ÿ› ๏ธ Bug fixes: * Add support for NumPy 2.0: * Updated build system to use NumPy 2.0 on Python > 3.8 and NumPy 1 on Python 3.8 * Use `numpy.asarray` instead of `numpy.array(..., copy=False)` * Use `numpy.isin` instead of `numpy.in1d` * Use `scipy.integrate.trapezoid` instead of `numpy.trapz` * `ColorMapManager`: fix segmentation fault with PySide6 on Linux ## PlotPy Version 2.3.3 (2024-06-13) ## In this release, test coverage is 79%. ๐Ÿ› ๏ธ Bug fixes: * Moved up `LineCrossSection` import for consistency with other cross-section panels * Unexpected behavior regarding `io.load_items` and `io.save_items` functions: * Those functions were serializing and deserializing most of the parameters of the plot items, but not their visibility state * This is now fixed: the visibility state of the plot items is now saved and restored as expected โ„น๏ธ Other changes: * Explicitely exclude NumPy V2 from the dependencies (not compatible yet) ## PlotPy Version 2.3.2 (2024-05-07) ## In this release, test coverage is 79%. Version 2.3.2 fixes a blocking issue with the colormap editor unit test introduced in version 2.3.1. The latter is a fugitive release that was not announced. ๐Ÿ’ฅ New features / Enhancements: * Colormap: added "Apply" button to the colormap manager * Automated test suite: * Test coverage has been improved from 75% to 79% * The following features are now covered by unit tests: * Panning with the mouse move events * Zooming with the mouse wheel/move events * Curve statistics tool * Image rotation and translations via `SelectTool` (simulating mouse events) * Masked areas in images and `ImageMaskTool` * `LockTrImageTool` * Cursor tools (`HCursorTool`, `VCursorTool`, `XCursorTool` and `HRangeTool`) * `DisplayCoordsTool`: simulation of 'Alt' and 'Ctrl' keys * Complete coverage for `MultiLineTool` and `FreeFormTool` * Selection tools (`RectangularSelectionTool` and `SelectTool`) ๐Ÿ› ๏ธ Bug fixes: * Image statistics tool: fixed "No available data" message when the tool rectangular region top Y coordinate is above the image top Y coordinate * Label items (`LabelItem`, `LegendBoxItem`, `DataInfoLabel`, ...) were not emitting the `SIG_ITEM_MOVED` signal when moved interactively (with the mouse) if the item anchor was attached to the canvas * Colormap: fixed context menu entry update (colormap icon was updated as expected, but the colormap name was not) * Rotate/crop dialog: added missing toolbar on plot widget * Flip/rotate dialog: added missing toolbar on plot widget * Fixed issue with oblique averaged cross section computation (`AttributeError` when clicking on the empty cross section plot) ## PlotPy Version 2.3.0 (2024-03-11) ## In this release, test coverage is 75%. ๐Ÿ’ฅ New features: * Added support for colormap inversion: * The user can now invert the colormap of an image item: * From the image parameters dialog ("Invert colormap" checkbox) * From the plot context menu (right-click on the image item) * `BaseImageItem.set_color_map` method takes a new `invert` parameter (which defaults to `None`, meaning that the behavior is unchanged) * New `ReverseColormapTool`: registered by default in the plot widget, like the `ColormapTool` (add the "Invert colormap" entry in the context menu of the image) ๐Ÿ› ๏ธ Bug fixes: * `ErrorBarCurveItem`: fixed NumPy deprecation warning ("Conversion of an array with ndim > 0 to a scalar is deprecated [...]") โ„น๏ธ Other changes: * Image plot items deserialization: * When an image plot item is deserialized, and needs to be reloaded from a file, the file path is adapted to the current working directory if file is not found (this is the legacy behavior). * An unnecessary call to `ImageIOHandler.adapt_path` method was removed from the `RawImageItem.deserialize` method: this issue has to be handled by the host application, not by the PlotPy library. * `ImageIOHandler`: removed `add_change_path` and `adapt_path` methods * Fix typo in `tests.features.test_colormap_editor` module: renamed function `test_colormap_manager` to `test_colormap_editor` * Removed unnecessary `BaseImageItem.get_color_map_name` method PlotPyStack-PlotPy-2af0906/doc/release_notes/release_2.04.md000066400000000000000000000104771525747167300235410ustar00rootroot00000000000000# Version 2.4 # ## PlotPy Version 2.4.2 (2024-07-16) ## In this release, test coverage is 79%. ๐Ÿ› ๏ธ Bug fixes: * [Issue #17](https://github.com/PlotPyStack/PlotPy/issues/17): * Debian's Python team has reported that the contour unit test was failing on `arm64` architecture * This is the opportunity to replace the `contour2d` Cython extension by scikit-image's `find_contours` function, thus avoiding to reinvent the wheel by relying on a more robust and tested implementation * The `contour2d` Cython extension is removed from the source code * The contour related features remain the same, but the implementation is now based on scikit-image's `find_contours` function * The scikit-image dependency is added to the package requirements ## PlotPy Version 2.4.1 (2024-07-09) ## In this release, test coverage is 79%. ๐Ÿ› ๏ธ Bug fixes: * Contrast adjustment panel: * A regression was introduced in V2.0.0: levels histogram was no longer removed from contrast adjustment panel when the associated image was removed from the plot * This is now fixed: when an image is removed, the histogram is removed as well and the contrast panel is refreshed (which was not the case even before the regression) ## PlotPy Version 2.4.0 (2024-06-26) ## In this release, test coverage is 79%. ๐Ÿ’ฅ New features / Enhancements: * Contrast adjustment panel: * New layout: the vertical toolbar (which was constrained in a small area on the right side of the panel) is now a horizontal toolbar at the top of the panel, beside the title * New "Set range" button: allows the user to set manually the minimum and maximum values of the histogram range * New Z-axis logarithmic scale feature: * Added new tool `ZAxisLogTool` to toggle the Z-axis logarithmic scale * The tool is registered by default in the plot widget, like the `ColormapTool` * When enabled, the active image item is displayed after applying a base-10 logarithm to its pixel values * Curve statistics tool `CurveStatsTool` is now customizable: * When adding the tool: `plot_widget.manager.add_tool(CurveStatsTool, labelfuncs=(...))` * Or after: `plot_widget.manager.get_tool(CurveStatsTool).set_labelfuncs(...)` * The `labelfuncs` parameter is a list of tuples `(label, func)` where `label` is the label displayed in the statistics table, and `func` is a function that takes the curve data and returns the corresponding statistic value (see the documentation for more details) * Image statistics tool `ImageStatsTool` is now customizable: * When adding the tool: `plot_widget.manager.add_tool(ImageStatsTool, stats_func=...)` * Or after: `plot_widget.manager.get_tool(ImageStatsTool).set_stats_func(...)` * The `stats_func` parameter is a function that takes the image item and selected rectangle coordinates, and returns a string with the statistics to display * New `SIG_AXIS_PARAMETERS_CHANGED` signal emitted by `BasePlot` when the axes parameters are changed (e.g. when the axes are inverted, or the scale is changed) * New "Reverse X axis" feature: * Added new tool `ReverseXAxisTool` to toggle the X-axis direction * The tool is registered by default in the plot widget, like its Y-axis counterpart ๐Ÿ› ๏ธ Bug fixes: * Contrast adjustment panel: * Fixed histogram update issues when no image was currently selected (even if the an image was displayed and was selected before) * Histogram range was not updated when either the minimum or maximum value was set using the "Minimum value" or "Maximum value" buttons (which have been renamed to "Min." and "Max." in this release) * Histogram range was not updated when the "Set full range" button was clicked * Image parameters: contrast range was not updated when the image Z axis bounds were changed using the "Parameters" dialog ๐Ÿงน API cleanup: * Deprecated `AnnotationParam.update_annotation` method: use `update_item` instead * Deprecated `AxesShapeParam.update_axes` method: use `update_item` instead * Deprecated `AxesParam.update_axes` method: use `update_item` instead * Deprecated `ImageAxesParam.update_axes` method: use `update_item` instead * Deprecated `LabelParam.update_label` method: use `update_item` instead * Deprecated `MarkerParam.update_marker` method: use `update_item` instead * Deprecated `RangeShapeParam.update_range` method: use `update_item` instead * Deprecated `ShapeParam.update_shape` method: use `update_item` instead PlotPyStack-PlotPy-2af0906/doc/release_notes/release_2.05.md000066400000000000000000000075171525747167300235430ustar00rootroot00000000000000# Version 2.5 # ## PlotPy Version 2.5.1 (2024-08-01) ## โ„น๏ธ Release V2.5.0 was a fugitive release that was replaced by V2.5.1 due to packaging issues. In this release, test coverage is 79%. ๐Ÿ’ฅ New features / Enhancements: * Alternative dictionary argument for plot options: * This new feature was introduced in the context of the cyclic import bug fix, to avoid importing the `plotpy.plot` module just to get the `PlotOptions` or `BasePlotOptions` classes * All classes (and a few functions) that used to take an `options` argument as a `BasePlotOptions` or `PlotOptions` instance now also accept a dictionary argument with the same keys as the `BasePlotOptions` or `PlotOptions` class attributes, and the same values as the corresponding attributes * This concerns the following classes and functions: * `plotpy.plot.BasePlot` * `plotpy.plot.PlotWidget` * `plotpy.plot.PlotDialog` * `plotpy.plot.PlotWindow` * `plotpy.plot.SubPlotWidget` * `plotpy.plot.SyncPlotWindow` * `plotpy.tools.RotateCropTool` * `plotpy.widgets.fit.FitDialog` * `plotpy.widgets.fliprotate.FlipRotateDialog` * `plotpy.widgets.rotatecrop.RotateCropDialog` * `plotpy.widgets.selectdialog.SelectDialog` * `plotpy.widgets.selectdialog.select_with_shape_tool` * Added "Lock LUT range" option for image items: * This new option is disabled by default, which matches the previous behavior: when updating an image item data, the LUT range is automatically adjusted to the new data range (if not passed as an argument to the `BaseImageItem.set_data` method) * When enabled, the LUT range is locked and the LUT range is not adjusted when updating the image item data * The option is available in image parameters dialog * A new tool `LockLUTRangeTool` has been implemented to toggle the option from the plot context menu: the tool is not registered by default in the plot widget, but can be added by the host application if needed * See test script `tests.features.test_image_data_update` for an example of usage of the new option and tool * Added missing `set_style` method to `XRangeSelection` class: this method is used to set the style of the range selection item from configuration options ๐Ÿ› ๏ธ Bug fixes: * [Issue #19](https://github.com/PlotPyStack/PlotPy/issues/19) - Fix `distutils` deprecation in setup.py: replaced `distutils.core` by `setuptools` in the setup.py script to avoid the deprecation warning when building the package with Python 3.10 and 3.11, and to ensure compatibility with earlier Python versions (PlotPy is already compatible with the most recent Python versions: this only concerns the build system) * Fix cyclic import in `plotpy.tools` module: * Some tools in `plotpy.tools` subpackage were importing the `plotpy.plot` module, which was importing the `plotpy.tools` module, causing a cyclic import issue * This is now fixed by introducing new constants for axis IDs in the `plotpy.constants` module, and using them everywhere in the code, thus avoiding to import the `plotpy.plot` module just to get the axis IDs * Fix empty label in X/Y cross section plots: * This is a regression introduced in V2.1.0 * When showing the X/Y cross section plots (using the plot context menu), an empty label was displayed at the center of each of those plots * The label now shows "Enable a marker" as previously * Fix historic unexpected behavior of interactive tools: * When triggering an interactive tool (e.g. by clicking on the corresponding toolbar button), the tool `activate` method was called twice, which was not expected, but was not causing any issue given the current implementation * However, when defining custom interactive tools, this behavior could lead to unexpected results (i.e. really executing activation actions twice) * This is now fixed: the `activate` method is called only once when triggering an interactive tool PlotPyStack-PlotPy-2af0906/doc/release_notes/release_2.06.md000066400000000000000000000054731525747167300235430ustar00rootroot00000000000000# Version 2.6 # ## PlotPy Version 2.6.3 (2024-10-01) ## ๐Ÿงฏ In this release, test coverage is 79%. ๐Ÿ› ๏ธ Bug fixes: * [Issue #25](https://github.com/PlotPyStack/PlotPy/issues/25) - `OverflowError` with Contrast Adjustment panel for constant images * When updating image parameters (`ImageParam`) from the associated item object: * If `xmin`, `xmax`, `ymin`, `ymax` attributes are not yet set (i.e. `None`), do not update them with the image data bounds * Previous behavior was to update them with the image data bounds, which was leading to breaking the automatic bounds update when the image data is updated * [Issue #24](https://github.com/PlotPyStack/PlotPy/issues/24) - Colormap: side effect on image axes when changing the colormap * [Issue #23](https://github.com/PlotPyStack/PlotPy/issues/23) - Windows: Image `_scaler` engine performance regression * PySide6 compatibility issues: * Fixed deprecated call to `QMouseEvent` in `tests/unit/utils.py` * Added workaround for `QPolygonF` shape point slicing * [Issue #21](https://github.com/PlotPyStack/PlotPy/issues/21) - PySide6 on Linux: segfault in test_colormap_editor.py * Fixed `sliderMoved` signal connection in `ColorMapEditor` * Fixed `AssertionError` in test_rect_zoom.py (Linux, Python 3.12, PyQt6) * Fixed typing issues in `plotpy.events` module: * Event objects were not properly typed (`QtCore.QEvent` instead of `QtGui.QMouseEvent`) * Event position arguments were not properly typed (`QtCore.QPoint` instead of `QtCore.QPointF`) * Fix NumPy `FutureWarning: Format strings passed to MaskedConstant are ignored [...]` when displaying masked pixel coordinates ## PlotPy Version 2.6.2 (2024-08-06) ## ๐Ÿ’ฅ New features / Enhancements: * Added Wheel packages for all major platforms on PyPI: * Windows (32/64bits), MacOS, Linux * Python 3.8 to 3.12 ๐Ÿ› ๏ธ Bug fixes: * Fixed color theme support (dark/light mode), leveraging the new `guidata` V3.6 feature ## PlotPy Version 2.6.1 (2024-08-02) ## โ„น๏ธ Release V2.6.0 was a fugitive release that was replaced by V2.6.1 due to a critical bug in the segment line cross section computation for masked images. ๐Ÿ’ฅ New features / Enhancements: * Added support for color theme change at execution (relies on guidata V3.6) * Changed strategy for default plot widget size: * No default size is applied to the plot widget anymore (before, the default size was 800x600 pixels) * Added parameter `size` to `PlotDialog`, `PlotWindow` classes, and `make.dialog`, `make.window` functions to set the initial size of the plot widget ๐Ÿ› ๏ธ Bug fixes: * Fixed segment line cross section computation for masked images: * Avoided warning message when encountering masked values in the image data * Replacing masked values by NaNs when computing the segment line cross section (as before, but explicitely, to avoid the warning message) PlotPyStack-PlotPy-2af0906/doc/release_notes/release_2.07.md000066400000000000000000000127661525747167300235470ustar00rootroot00000000000000# Version 2.7 # ## PlotPy Version 2.7.5 (2025-07-15) ## ๐Ÿ› ๏ธ Bug fixes: * [Issue #44](https://github.com/PlotPyStack/PlotPy/issues/44) - Incorrect calculation method for "โˆ‘(y)" in `CurveStatsTool`: replaced `spt.trapezoid` with `np.sum`, which is more consistent with the summation operation * Fix `update_status` method in all cross-section tools (intensity profile tools): * Use `get_items` instead of `get_selected_items` to retrieve the image items * This allows the tools to work properly when no image item is selected, but there are image items in the plot * This closes [Issue #47](https://github.com/PlotPyStack/PlotPy/issues/47) - Intensity profile tools do not work when no image item is selected Other changes: * Updated `guidata` dependency to V3.10.0 * Using new `guidata` translation utility based on `babel` * Development environment: * Historically, the default Python interpreter for development was handled by the `PPSTACK_PYTHONEXE` environment variable, for example to run VS Code tasks with the correct Python interpreter. * This approach has been replaced by relying on the virtual environment management as provided by VS Code itself, which is more standard and compatible with various tools. ## PlotPy Version 2.7.4 (2025-04-26) ## In this release, test coverage is 80%. ๐Ÿ› ๏ธ Bug fixes: * [Issue #42](https://github.com/PlotPyStack/PlotPy/issues/42) - Image profiles: when moving/resizing image, profile plots are not refreshed * [Issue #41](https://github.com/PlotPyStack/PlotPy/issues/41) - Average profile visualization: empty profile is displayed when the target rectangular area is outside the image area ## PlotPy Version 2.7.3 (2025-04-05) ## In this release, test coverage is 80%. ๐Ÿ› ๏ธ Bug fixes: * [Issue #40](https://github.com/PlotPyStack/PlotPy/issues/40) - Z-axis logarithmic scale (`ZAxisLogTool` tool) is not compatible with anti-aliasing interpolation * Fix intersection check for destination rectangle in `XYImageFilterItem` * [Issue #36](https://github.com/PlotPyStack/PlotPy/issues/36) - Image items are not properly scaling along Y-axis with logarithmic scale: * Actually, image items do not support non-linear scales (this is an historical limitation) * This is not documented at all, so we've added an explicit warning: a red colored message is displayed at the center of the image frame when any non-linear scale is applied to either X or Y axis * When dealing with non-linear scales, PlotPy provides an alternative solution: the user may rely on `XYImageItem` (e.g. by using `make.xyimage`) as this item supports arbitrary X and Y pixel coordinates * [Issue #34](https://github.com/PlotPyStack/PlotPy/issues/34) - `ValueError` when trying to plot 2D histogram items with `PyQt6` Other changes: * Replace deprecated icon files with new SVG icons for selection tools ## PlotPy Version 2.7.2 (2025-02-14) ## ๐Ÿ› ๏ธ Bug fixes: * [Issue #32](https://github.com/PlotPyStack/PlotPy/issues/32) - Plot item list panel's parameters dialog box is empty for non-selectable items * [Issue #30](https://github.com/PlotPyStack/PlotPy/issues/30) - `handle_final_shape_cb` argument doesn't work on `MultilineTool`, `PolygonTool`, `AnnotatedPolygonTool` ## PlotPy Version 2.7.1 (2025-01-15) ## ๐Ÿ› ๏ธ Bug fixes: * Fixed update `canvasRect` type to `QRectF` for intersection checks in `CircleSVGShape`, following [this bug fix](https://github.com/PlotPyStack/PythonQwt/commit/d0b5e26d8f78a9a65939503553f1bc1b56826e4e) in `PythonQwt` V0.14.4 * Fixed regression with respect to `guiqwt` regarding plot items instantiation: * `guiqwt` was allowing to instantiate plot items without needing to create a `QApplication` instance (no GUI event loop was required) * This was not the case with `plotpy`, so that it was not possible -for example- to serialize/deserialize plot items to JSON without creating a `QApplication` instance * This has been fixed by removing the `QIcon` instantiation from the plot items constructors (call to `QwtPlotItem.setIcon` method). Note that -in the meantime- `QwtPlotItem.setIcon` and `QwtPlotItem.icon` methods have also been removed in PythonQwt V0.14.3. Code relying on this feature should thus be updated to use the new `get_icon_name` method instead, i.e. `get_icon(item.get_icon_name())` instead of `item.icon()`. * [Issue #26](https://github.com/PlotPyStack/PlotPy/issues/26) - Item list panel should not allow to select a non-selectable item ## PlotPy Version 2.7.0 (2024-11-07) ## Supported versions of Python have been updated (drop support for Python 3.8, add support for Python 3.13): * PlotPy < 2.7.0: Python 3.8, 3.9, 3.10, 3.11 and 3.12 * PlotPy >= 2.7.0: Python 3.9, 3.10, 3.11, 3.12 and 3.13 Other dependencies have been updated: * Updated versions to those available at the time of the release of the oldest supported Python version (3.9) * Exception: Cython 3.0 is required for Python 3.13 ๐Ÿ’ฅ New features / Enhancements: * Added `AnnotatedPolygon` annotation to items * Added `make.annotated_polygon` function to `plotpy.builder` module * Customization of annotation information: * Added `info_callback` argument to all annotation class constructors * Added `set_info_callback` method to all annotation classes * The `info_callback` is a function that takes the annotation object and returns a string with the information to display * Default `info_callback` is redirected to the `get_info` method of the annotation object (this makes the feature backward compatible) ๐Ÿ› ๏ธ Bug fixes: * Fixed `pydicom` support: use `dcmread` instead of `read_file` to read DICOM files PlotPyStack-PlotPy-2af0906/doc/release_notes/release_2.08.md000066400000000000000000000374521525747167300235470ustar00rootroot00000000000000# Version 2.8 # ## PlotPy Version 2.8.4 (2026-02-14) ## ๐Ÿ’ฅ New features: * Added official support for Python 3.14 ๐Ÿ› ๏ธ Bug fixes: * Fixed PySide6 compatibility issues causing segfaults in the test suite: * Use `object` instead of C++ type strings (e.g., `"QMouseEvent"`, `"QEvent"`, `"QPointF"`) in `Signal` declarations โ€” PySide6 segfaults with C++ type name strings * Check QObject validity via `is_qobject_valid()` before accessing widgets in `__del__`, `closeEvent`, and panel close operations โ€” PySide6 segfaults on deleted C++ objects instead of raising `RuntimeError` * Restructure `BaseSyncPlot.__init__` to defer widget operations until after Qt `__init__` completes โ€” PySide6 requires `__init__` to have fully completed before the widget can be used as a parent * Replace deprecated `exec_()` calls with `exec()` * Fixed `test_multiline_tool` failing with PyQt6 due to smaller canvas size: * The spiral test data started at `t=0`, placing the first two points so close together that they mapped to the same pixel on PyQt6's smaller default canvas * Start the spiral at `t=2ฯ€` to ensure sufficient pixel spacing between consecutive points * Fixed pytest running all tests when selecting a single test from VS Code: * Move `plotpy` from `addopts` to `testpaths` in `[tool.pytest.ini_options]` ๐Ÿ”ง Other changes: * Add missing `setuptools` to `requirements.txt` (dev) * Update GitHub Actions to use latest artifact upload and download versions * Update `cibuildwheel` version to v3.3.1 for improved wheel building * Add `.venv*` to `.gitignore` to exclude virtual environment files ## PlotPy Version 2.8.3 (2025-12-18) ## ๐Ÿ’ฅ New features: * `AnnotatedSegment` new angle display: * Added angle display in annotation label, showing the segment's angle relative to the horizontal direction (0ยฐ to 180ยฐ) * This implements the equivalent feature submitted in [Pull Request #51](https://github.com/PlotPyStack/PlotPy/pull/51) by user @deuterium33 ๐Ÿ› ๏ธ Bug fixes: * Fixed `IndexError` when displaying images with a single row or column (e.g., SIF files with shape `(1, N)`): * The `to_bins()` function now handles single-element coordinate arrays by assuming a bin width of 1.0 centered on the point * Previously, loading such images in DataLab caused an `IndexError: index 1 is out of bounds for axis 0 with size 1` * Fixed circle/ellipse shape drawing with non-uniform aspect ratios: * Axes were not perpendicular and did not connect to the ellipse edge when plot aspect ratio differed from 1.0 * Now uses parametric ellipse drawing that correctly handles non-perpendicular axes in pixel space * The ellipse properly passes through all four handle points regardless of aspect ratio or rotation * Fixed angle display range for `AnnotatedObliqueRectangle` and `AnnotatedEllipse`: * Angle is now displayed in the 0ยฐ to 180ยฐ range instead of -90ยฐ to 90ยฐ (the original implementation was also displaying 0ยฐ at vertical orientation -additionally to horizontal orientation- which was counter-intuitive) * This provides a more intuitive and consistent angle representation ## PlotPy Version 2.8.2 (2025-11-10) ## ๐Ÿ› ๏ธ Bug fixes: * Fixed `RuntimeWarning` when changing masked image data type from float to integer: * `MaskedImageItem.update_mask()` now handles NaN and None `filling_value` gracefully * When converting to integer dtypes, NaN/None values are replaced with 0 instead of triggering numpy cast warnings * When converting to float dtypes, NaN is preserved as the fill value * Added comprehensive tests to validate dtype conversion scenarios ## PlotPy Version 2.8.1 (2025-11-06) ## ๐Ÿ› ๏ธ Bug fixes: * [Issue #50](https://github.com/PlotPyStack/PlotPy/issues/50) - Fixed ImageStatsTool displaying "No available data" for `XYImageItem` and `MaskedXYImageItem`: * Added `IExportROIImageItemType` to `XYImageItem.types()` so that `get_items_in_rectangle()` can properly identify XY image items * Updated `__implements__` tuples for consistency across `XYImageItem`, `MaskedXYImageItem`, and `MaskedImageItem` * The tool now correctly displays statistics for images with non-uniform coordinates * Fixed snapshot tool failing with `SystemError` on `XYImageItem` and `MaskedXYImageItem`: * Fixed `assemble_imageitems` passing list instead of tuple to C extension function `_scale_rect` * Added missing `export_roi` method to `XYImageItem` to properly handle non-uniform coordinate transformations * Snapshots of XY images now render correctly instead of producing black images ## PlotPy Version 2.8.0 (2025-10-24) ## ๐Ÿ’ฅ New features / Enhancements: * Curve fitting: added support for locked parameters: * New `locked` parameter in `FitParam` class to lock parameter values during automatic optimization * New `locked` field in `FitParamDataSet` to configure parameter locking via the settings dialog * When locked, parameters retain their manually-adjusted values during auto-fit * Visual indicators: locked parameters show a ๐Ÿ”’ emoji and are grayed out with disabled controls * All optimization algorithms (simplex, Powell, BFGS, L-BFGS-B, conjugate gradient, least squares) fully support locked parameters * Enables partial optimization workflows: fix well-determined parameters, optimize uncertain ones * Improves fit convergence by reducing problem dimensionality * Configurable autoscale margin: * Added `autoscale_margin_percent` parameter to `BasePlotOptions` for intuitive percentage-based margin control * Users can now specify autoscale margins as percentages (e.g., `0.2` for 0.2%, `5.0` for 5%) * Replaces the previous decimal-based approach with more user-friendly percentage values * Default remains 0.2% (equivalent to previous 0.002) for backward compatibility * Includes validation to prevent unreasonable values (0-50% range) * Image statistics tool improvements: * Enhanced `get_stats` function to display delta (ฮ”) values for coordinate ranges * Now shows ฮ”x, ฮ”y, and ฮ”z values alongside the min/max ranges for better analysis * Added optional "Axes" tab control in Parameters dialog: * New `show_axes_tab` option in `BasePlotOptions` and `PlotOptions` (default: `True`) * When set to `False`, the "Axes" tab is hidden from item parameter dialogs * This allows applications to provide their own axes management while using PlotPy * Can be configured during plot creation or changed at runtime using `plot.set_show_axes_tab(False)` * [Issue #45](https://github.com/PlotPyStack/PlotPy/issues/45) - Add support for new curve Y-range cursor tool `YRangeCursorTool`: * This tool is similar to the existing `CurveStatsTool`, but it simply shows the Y-range values (min, max and interval). * It can be added to the plot widget using `plot_widget.manager.add_tool(YRangeCursorTool)` * Update color configurations defaults for improved visibility * Item list: * Added a new "Rename" context menu entry to rename the selected item * This entry is only available for editable items * X and Y range selection items: * Added support for item title in parameters data set (`RangeShapeParam`) * This concerns the `XRangeSelection` and `YRangeSelection` items * New annotated X and Y range selection items: * Added `AnnotatedXRange` and `AnnotatedYRange` items * These items provide X and Y range selection with an annotation label * They can be created using `make.annotated_xrange` and `make.annotated_yrange` functions * New `SyncPlotDialog` class: * This class provides a dialog for displaying synchronized plots. * This is a complementary class to `SyncPlotWindow`, providing a modal dialog interface for synchronized plotting. * Native datetime axis support: * Added `BasePlot.set_axis_datetime()` method to easily configure an axis for datetime display * Added `BasePlot.set_axis_limits_from_datetime()` method to set axis limits using datetime objects directly * Supports customizable datetime format strings using Python's `strftime` format codes * Configurable label rotation and spacing for optimal display * Example: `plot.set_axis_datetime("bottom", format="%H:%M:%S")` for time-only display * Example: `plot.set_axis_limits_from_datetime("bottom", dt1, dt2)` to zoom to a specific time range * Added `"datetime"` as a valid scale type (alongside `"lin"` and `"log"`) for axis configuration * Added datetime coordinate formatting support throughout PlotPy: * Cursor tools (`VCursorTool`, `HCursorTool`, `XCursorTool`) now display datetime-formatted X/Y coordinates * `CurveStatsTool` now displays datetime-formatted X coordinates for statistical computations * Marker labels automatically format coordinates as datetime when axis uses datetime scale * Coordinate display in the plot canvas now shows datetime format when appropriate * Refactored `ObjectInfo` base class to provide shared datetime formatting methods for code reuse ๐Ÿงน API cleanup: removed deprecated update methods (use `update_item` instead) * Removed `AnnotationParam.update_annotation` method * Removed `AxesShapeParam.update_axes` method * Removed `AxesParam.update_axes` method * Removed `ImageAxesParam.update_axes` method * Removed `LabelParam.update_label` method * Removed `MarkerParam.update_marker` method * Removed `RangeShapeParam.update_range` method * Removed `ShapeParam.update_shape` method ๐Ÿ› ๏ธ Bug fixes: * Fixed `RuntimeError` in `SyncPlotWindow` and `SyncPlotDialog` when closing widgets quickly: * Fixed "wrapped C/C++ object of type QwtScaleWidget has been deleted" error that occurred when widgets were closed before the deferred plot rescaling operation could complete * Replaced `QTimer.singleShot()` with controllable `QTimer` instances that can be stopped on widget close * Added `handle_show_event()` and `handle_close_event()` methods to `BaseSyncPlot` for proper timer lifecycle management * Refactored `showEvent()` and `closeEvent()` in both `SyncPlotWindow` and `SyncPlotDialog` to eliminate code duplication * Added early exit check in `rescale_plots()` to prevent execution if the timer has been stopped * This fix ensures clean widget shutdown and prevents Qt from attempting to access deleted C++ objects * Cross-section panels: Fixed autoscaling logic in `BaseCrossSectionPlot` * Streamlined handling of `autoscale_mode` and `lockscales` options for consistent scaling behavior across all code paths * The `update_plot()` method now delegates all scaling logic to `plot_axis_changed()` to avoid code duplication and ensure consistency * Fixed issue where Y cross-section plots for rectangular images with non-uniform axes (e.g., Y = f(X)) were not properly scaled on initial display * The lockscales mode now correctly syncs the cross-section axis (CS_AXIS) to the image plot while autoscaling the intensity axis (Z_AXIS) * [Issue #49](https://github.com/PlotPyStack/PlotPy/issues/49) - Fixed multiple coordinate handling bugs in `XYImageItem`: * **Root cause**: `XYImageItem` internally stores bin edges (length n+1) but several methods were incorrectly treating them as pixel centers (length n) * Fixed `get_x_values()` and `get_y_values()` to correctly compute and return pixel centers from stored bin edges: `(edge[i] + edge[i+1]) / 2` * Fixed `get_pixel_coordinates()` to correctly convert plot coordinates to pixel indices using `searchsorted()` with proper edge-to-index adjustment * Fixed `get_plot_coordinates()` to return pixel center coordinates instead of bin edge coordinates * Fixed `get_closest_coordinates()` to return pixel center coordinates instead of bin edge coordinates * Added comprehensive docstring documentation explaining that `XYImageItem.x` and `XYImageItem.y` store bin edges, not pixel centers * Removed redundant pixel centering code in `CrossSectionItem.update_curve_data()` that was working around these bugs * This fixes the reported issue where using cross-section tools progressively translated image data to the bottom-right corner * All coordinate-related methods now properly handle the bin edge vs pixel center distinction throughout the `XYImageItem` API * Fixed index bounds calculation for image slicing compatibility: * Corrected the calculation of maximum indices in `get_plot_coordinates` to ensure proper bounds when using NumPy array slicing * Previously, the maximum indices were off by one, which could cause issues when extracting image data using the returned coordinates * Now returns indices that correctly align with Python/NumPy slicing conventions (e.g., `[i1:i2+1, j1:j2+1]`) * This fixes an historic bug that could lead to off-by-one errors when users extracted image data using the coordinates provided by this function * Fixed plot update after inserting a point using the `EditPointTool` on non-Windows platforms * [Issue #46](https://github.com/PlotPyStack/PlotPy/issues/46) - Contrast adjustment with 'Eliminate outliers' failed for float images with high dynamic range * [Issue #29](https://github.com/PlotPyStack/PlotPy/issues/29) - SelectTool: Selecting Another Shape Without Unselection * Fixed direct selection between different shapes without requiring intermediate click on empty space * Users can now click directly from one shape to another for immediate selection * Maintains all existing functionality including multi-selection (Ctrl+click), moving, and resizing * Fixed `ErrorBarCurveItem` handling of all-NaN data: * Fixed `ValueError: zero-size array to reduction operation minimum which has no identity` when error bar curves contain only NaN values * Added proper checks in `boundingRect()` and `draw()` methods to handle empty arrays gracefully * Error bar curves with all-NaN data now fall back to parent class behavior instead of crashing * Item list: refresh tree when item parameters are changed: * Added `SIG_ITEM_PARAMETERS_CHANGED` signal to `BasePlot` class * This signal is emitted when the parameters of an item are changed using the parameters dialog, or a specific tool (e.g. the colormap selection tool, or the lock/unlock tool for image items) * The signal is emitted with the item as argument * The `ItemListWidget` now listens to this signal and refreshes the item list accordingly * Edit tools (Edit data, center image position): * Exclude read-only items from the list of editable items * It is no longer possible to use those tools on read-only items * Marker items (markers, cursors): * Setting item movable state now also sets the resizable state: * The PlotPy event system won't prevent the user from moving the item by dragging the handles if the item is just not movable: it has to be not resizable, which is not intuitive. * This is now fixed * Range selection items (`XRangeSelection`, `YRangeSelection`): * Handles are now displayed only when the item is resizable * If the item is set as not resizable (using the `set_resizable` method), the handles will be hidden * Fixed cursor label formatting error with percentage symbols: * Fixed `ValueError: unsupported format character '=' (0x3d)` when cursor labels contain percentage signs followed by format specifiers (e.g., "Crossing at 20.0% = %g") * The issue occurred because old-style string formatting (`label % value`) treated the `%` in percentage displays as format specifiers * Added robust fallback mechanism that tests label format once during cursor creation and uses regex-based replacement when needed * Performance optimized: format validation is done once at cursor creation time, not on every callback execution * Affects `vcursor`, `hcursor`, and `xcursor` methods in `CurveMarkerBuilder` Other changes: * API breakage: renamed annotations `AnnotatedShape.get_infos` method to `get_info` * Updated dependencies following the latest security advisories (NumPy >= 1.22) * Added `pre-commit` hook to run `ruff` (both `ruff check` and `ruff format`) on commit * Added missing `build` optional dependency to development dependencies in `pyproject.toml` * Visual Studio Code tasks: * Major overhaul (cleanup and simplification) * Removal of no longer used batch files PlotPyStack-PlotPy-2af0906/doc/release_notes/release_2.09.md000066400000000000000000000063311525747167300235400ustar00rootroot00000000000000# Version 2.9 # ## PlotPy Version 2.9.0 ## ๐Ÿ’ฅ New features: * Added `QuiverItem` for displaying 2D vector fields (quiver plots), similar to Matplotlib's `quiver`. This closes [Issue #54](https://github.com/PlotPyStack/PlotPy/issues/54): * New `QuiverItem` plot item class supporting X, Y, U, V arrays (1D or 2D) * Auto-meshgrid expansion when X, Y are 1D and U, V are 2D * Configurable arrow scale, head size, and color * New `make.quiver()` builder method for easy item creation * New `quiver()` function in the interactive plotting interface (`plotpy.pyplot`) * Integrated with plot autoscale (initial zoom and middle-click reset) * Item icon displayed in the item list widget * Added "Invert colormap" checkbox directly in the Colormap Manager dialog. This closes [Issue #53](https://github.com/PlotPyStack/PlotPy/issues/53): * Reflects the current inversion state when the dialog is opened * Allows toggling inversion from the colormap selection widget * Updates the colormap preview in real-time when toggled * Inversion is treated as a display parameter, independent of the colormap definition (toggling does not mark the colormap as having unsaved changes) ๐Ÿ› ๏ธ Bug fixes: * Fixed marker style parameters being overwritten when updating selected markers: * `MarkerParam.update_param` now correctly reads back the selected or unselected visual state into the matching parameter set, instead of overwriting the base (normal) style with the selected style * This preserves distinct normal and selected appearance for markers * Fixed error-bar curve cursor snapping: clicking near an error-bar bound on an `ErrorBarCurveItem` now correctly returns the closest bar end coordinate. Previously a typo (`abs(y - y)` / `abs(x - x)` instead of `abs(y - yi)` / `abs(x - xi)`) made the snap-to-bound branches dead code, so the closest coordinate was always the central curve point regardless of cursor position * Fixed image export via `Figure.print_` (`plotpy.pyplot`) leaking the underlying `QPainter`: the painter is now always released, even when an axis fails to render. This avoids "QPainter::begin: A paint device can only be painted by one painter at a time" warnings, GDI/GL resource leaks, and truncated output files on subsequent paints * Fixed `vector_projection` raising a division-by-zero warning and returning NaN coordinates when the two reference points A and B coincided. The function now detects the degenerate zero-length AB vector and returns point B * Fixed `scale_data_to_dtype` (`plotpy.io`) producing NaN values when the input array was constant (`dmax == dmin`). The function now returns a finite constant array set to the target dtype's minimum value instead of dividing by zero * Fixed `get_nan_min` / `get_nan_max` (`plotpy.mathutils.arrayfuncs`) raising `ValueError` on empty arrays and emitting `RuntimeWarning` on all-NaN inputs. Both helpers now return NaN for empty or fully-NaN arrays without warnings ๐Ÿ”ง Other changes: * CI: gate PyPI deployment on test suite passing * Development environment: improved `scripts/run_with_env.py` to support multiple Python environment contexts (WinPython, venv, etc.) with legacy support for the `WINPYDIRBASE` environment variable PlotPyStack-PlotPy-2af0906/doc/release_notes/release_2.10.md000066400000000000000000000067761525747167300235450ustar00rootroot00000000000000# Version 2.10 # ## PlotPy Version 2.10.0 ## โœจ New features: * **Per-axis autoscale strategy**: Added configurable autoscale behavior for each axis via the axis parameters dialog. Three strategies are available: *Auto* (default โ€” compute bounds from items), *Fixed range* (apply user-defined Min/Max values) and *Disabled* (leave the axis untouched on autoscale). New API: `BasePlot.set_axis_autoscale_strategy()` / `BasePlot.get_axis_autoscale_strategy()` (closes [Issue #63](https://github.com/PlotPyStack/PlotPy/issues/63), partial) * **Symbol border width**: Added an `edgewidth` parameter to `SymbolParam` for customizable marker border thickness โ€” previously the border was always 1 pixel wide ๐Ÿ› ๏ธ Bug fixes: * **Rectangular snapshot tool** โ€” Fixed the "Original size" computation (closes [Issue #57](https://github.com/PlotPyStack/PlotPy/issues/57)): * The preview no longer displays negative dimensions when the X or Y axis is reversed * The "Original size" is now computed from pixel coordinates instead of axis units, so it is correct for `XYImageItem` (and any item with non-uniform axis scaling) regardless of axis orientation * The `ValueError` raised by the resize dialog when the selection produced negative dimensions on a reversed axis is gone * Selecting a region larger than the plotted image now reports the same native pixel resolution for both `ImageItem` and `XYImageItem` (previously `XYImageItem` reported ``shape - 1`` while `ImageItem` reported the full oversized resolution): exporting at "Original size" now consistently preserves the source pixel density and avoids upsampling, regardless of the item type * **Snapshot tool cursor** โ€” Fixed the mouse cursor remaining stuck as a cross (`+`) outside the plot canvas (axes, toolbar) after using the snapshot tool. The modal dialogs are now opened after Qt has released the implicit pointer grab, so the cursor is correctly restored (closes [Issue #58](https://github.com/PlotPyStack/PlotPy/issues/58)) * **Z-axis log tool** โ€” Fixed the `ZAxisLogTool` being always disabled for non-`ImageItem` image types (`XYImageItem`, `MaskedImageItem`, `MaskedXYImageItem`, `TrImageItem`, `RGBImageItem`). The Z-axis log API (`get_zaxis_log_state` / `set_zaxis_log_state`) was moved from `ImageItem` up to `BaseImageItem` so all image item types support it. This notably fixes the tool being permanently greyed out in DataLab's image panel (closes [Issue #59](https://github.com/PlotPyStack/PlotPy/issues/59)) * **Z-axis log data update** โ€” Fixed image data not being recomputed when calling `set_data()` while Z-axis log scale is active โ€” the log-transformed data is now refreshed and the LUT range preserved in log mode * **`YRangeCursorTool`** โ€” Fixed incorrect inequality display and negative โˆ†y when the Y-range cursors are inverted (dragging the top cursor below the bottom one). Values are now sorted and โˆ†y is always positive (closes [Issue #55](https://github.com/PlotPyStack/PlotPy/issues/55)) * **`CurveStatsTool`** โ€” Replaced `min`/`max`/`mean`/`std`/`sum` with their NaN-safe equivalents (`nanmin`, `nanmax`, `nanmean`, `nanstd`, `nansum`) so that signal statistics are computed correctly when the data contains NaN values โš™๏ธ Dependencies: * Bumped minimum PythonQwt version from 0.15 to **0.16** to benefit from the Qt6 performance optimizations (closes [Issue #22](https://github.com/PlotPyStack/PlotPy/issues/22) โ€” see [PythonQwt#93](https://github.com/PlotPyStack/PythonQwt/issues/93) for the full optimization log)PlotPyStack-PlotPy-2af0906/doc/release_notes/release_2.11.md000066400000000000000000000034651525747167300235360ustar00rootroot00000000000000# Version 2.11 # ## PlotPy Version 2.11.1 ## ๐Ÿ› ๏ธ Bug fixes: * **`hist_range_threshold` documentation** โ€” Fixed the docstring of `plotpy.lutrange.hist_range_threshold`, which stated that `percent` was the share of the histogram mass to *retain*, whereas it is the share to *eliminate* (half on each side). The error message raised for an out-of-range `percent` now matches the accepted range `[0, 100]` ๐Ÿ“š Documentation: * **Migrating from guiqwt** โ€” Updated the migration guide to match the current API: * Fixed outdated targets (`BasePlotWidget`, `BasePlot`) and the contour demo script path * Updated the `BasePlot` constructor section: all configuration settings now go through `BasePlotOptions` * Added equivalents for `canvas2plotitem`/`plotitem2canvas` (`plotpy.coords`), `mimedata2url` (`guidata.qthelpers`), `guiqwt.transitional` (`qwt` package) and guidance for `eliminate_outliers` and `guiqwt.signals` * Completed the compatibility table with missing guiqwt modules and classes (`builder`, `panels`, `config`, `ImagePlot`, `ImageWidget`, `ImageDialog`, `ImageWindow`, ...) ## PlotPy Version 2.11.0 ## โœจ New features: * **Enhance contour builder with style parameters** โ€” Add color, linestyle and linewidth parameters to ContourLine item class ๐Ÿ› ๏ธ Bug fixes: * **Image cross sections** โ€” Restored live cross-section updates when using `Alt+Mousemove` over an image. This regression had been introduced in v2.1.0: the X/Y cross-section panels no longer received marker-change updates because method resolution order was shadowing the mixin hook that connects `SIG_MARKER_CHANGED` (closes [Issue #68](https://github.com/PlotPyStack/PlotPy/issues/68)) * **Empty Label ledend box crash prevent** โ€” When plot items list is empty, LegendBoxItem could crashes while clicking on it. Fix and tests added PlotPyStack-PlotPy-2af0906/doc/requirements.rst000066400000000000000000000054641525747167300215610ustar00rootroot00000000000000The `PlotPy` package requires the following Python modules: .. list-table:: :header-rows: 1 :align: left * - Name - Version - Summary * - Python - >=3.9, <4 - Python programming language * - guidata - >= 3.14.1 - Automatic GUI generation for easy dataset editing and display * - PythonQwt - >= 0.16 - Qt plotting widgets for Python * - numpy - >= 1.22 - Fundamental package for array computing in Python * - SciPy - >= 1.7.3 - Fundamental algorithms for scientific computing in Python * - scikit-image - >= 0.19 - Image processing in Python * - Pillow - - Python Imaging Library (fork) * - tifffile - - Read and write TIFF files Optional modules for GUI support (Qt): .. list-table:: :header-rows: 1 :align: left * - Name - Version - Summary * - PyQt5 - >5.15.5 - Python bindings for the Qt cross platform application toolkit Optional modules for development: .. list-table:: :header-rows: 1 :align: left * - Name - Version - Summary * - build - - A simple, correct Python build frontend * - babel - - Internationalization utilities * - Coverage - - Code coverage measurement for Python * - Cython - >=3.0 - The Cython compiler for writing C extensions in the Python language. * - pylint - - python code static checker * - ruff - - An extremely fast Python linter and code formatter, written in Rust. * - pre-commit - - A framework for managing and maintaining multi-language pre-commit hooks. * - setuptools - - Most extensible Python build backend with support for C/C++ extension modules * - wheel - - Command line tool for manipulating wheel files Optional modules for building the documentation: .. list-table:: :header-rows: 1 :align: left * - Name - Version - Summary * - sphinx - - Python documentation generator * - myst_parser - - An extended [CommonMark](https://spec.commonmark.org/) compliant parser, * - sphinx-copybutton - - Add a copy button to each of your code cells. * - sphinx_qt_documentation - - Plugin for proper resolve intersphinx references for Qt elements * - python-docs-theme - - The Sphinx theme for the CPython docs and related projects Optional modules for running test suite: .. list-table:: :header-rows: 1 :align: left * - Name - Version - Summary * - pytest - - pytest: simple powerful testing with Python * - pytest-xvfb - - A pytest plugin to run Xvfb (or Xephyr/Xvnc) for tests.PlotPyStack-PlotPy-2af0906/media/000077500000000000000000000000001525747167300166055ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/media/LinkedIn/000077500000000000000000000000001525747167300203025ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/media/LinkedIn/2023_10_31-V2.md000066400000000000000000000027571525747167300223150ustar00rootroot00000000000000# Announcement: Release of PlotPy V2 ๐Ÿ“Š PlotPy V2 distinguishes itself in the realm of plotting libraries. Designed for Python/Qt applications, this library offers a blend of superior performance and enhanced interactive features. Its image display features, driven by a C++ transform engine, include real-time high-quality interpolation, LUT, and geometric transformations, elevating data interaction. PlotPy is part of the PlotPyStack project (), dedicated to delivering a comprehensive toolkit for crafting scientific and technical data visualization applications. The development efforts for PlotPy V2 were financed by the CEA (). What's New in PlotPy V2 ๐ŸŒŸ: ๐Ÿ” Major Updates: Refined and unified API for curve and image plotting features (widget, dialog, window). Introduction of a new window for synchronized multi-plot displays ๐Ÿ”„. ๐ŸŽจ Enhancements: Expanded Image Lookup Table functionalities. Integration of SVG-based shapes. ๐Ÿ“– Documentation: Comprehensive Sphinx-based documentation enriched with API links, examples, and tutorials. โš™๏ธ Development Features: Black code formatting, robust `pytest`-based automated test suite, and a 70% test coverage milestone โœ…. We invite the community to explore PlotPy V2's capabilities. Explore PlotPy V2 on PyPI: . View the project on GitHub: . Review the documentation: . PlotPyStack-PlotPy-2af0906/media/X/000077500000000000000000000000001525747167300170145ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/media/X/2023_10_31-V2.txt000066400000000000000000000004341525747167300212340ustar00rootroot00000000000000PlotPy V2 is now live! ๐ŸŽ‰Introducing an optimized 2D curve/image plotting library๐Ÿ“Š. It's the successor to guiqwt. PlotPy is part of PlotPyStack, representing 15 years of expertise in Python-Qt scientific software development. #Python #Plotting PlotPyStack-PlotPy-2af0906/plotpy-tests.desktop000066400000000000000000000004121525747167300216050ustar00rootroot00000000000000[Desktop Entry] Version=1.0 Type=Application Name=PlotPy GenericName=PlotPy Test launcher Comment=The PlotPy Python library provides powerful curve and image plotting tools TryExec=plotpy-tests Exec=plotpy-tests Icon=plotpy.svg Categories=Education;Science;Physics; PlotPyStack-PlotPy-2af0906/plotpy/000077500000000000000000000000001525747167300170555ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/__init__.py000066400000000000000000000020361525747167300211670ustar00rootroot00000000000000# -*- coding: utf-8 -*- """ plotpy ====== Based on `PythonQwt` (plotting widgets for Qt graphical user interfaces) and on the scientific modules NumPy and SciPy, :mod:`plotpy` is a Python library providing efficient 2D data-plotting features (curve/image visualization and related tools) for interactive computing and signal/image processing application development. .. image:: images/panorama.png External resources: * Python Package Index: `PyPI`_ * Bug reports and feature requests: `GitHub`_ .. _PyPI: https://pypi.python.org/pypi/plotpy .. _GitHub: https://github.com/PierreRaybaut/plotpy """ __version__ = "2.11.1" __VERSION__ = tuple([int(number) for number in __version__.split(".")]) # --- Important note: DATAPATH and LOCALEPATH are used by guidata.configtools # --- to retrieve data and translation files paths # # Dear (Debian, RPM, ...) package makers, please feel free to customize the # following path to module's data (e.g. icons) and translations: DATAPATH = LOCALEPATH = "" PlotPyStack-PlotPy-2af0906/plotpy/builder/000077500000000000000000000000001525747167300205035ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/builder/__init__.py000066400000000000000000000020541525747167300226150ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Item builder ------------ The `builder` module provides a builder singleton class that can be used to simplify the creation of plot items. """ from __future__ import annotations from .annotation import AnnotationBuilder from .curvemarker import CurveMarkerCursorBuilder from .image import ImageBuilder from .label import LabelBuilder from .plot import WidgetBuilder from .shape import ShapeBuilder class PlotBuilder( WidgetBuilder, CurveMarkerCursorBuilder, ImageBuilder, LabelBuilder, ShapeBuilder, AnnotationBuilder, ): """Class regrouping a set of factory functions to simplify the creation of plot widgets and plot items. It is a singleton class, so you should not create instances of this class but use the :py:data:`plotpy.builder.make` instance instead. """ def __init__(self): super().__init__() #: Instance of :py:class:`.PlotBuilder` make = PlotBuilder() PlotPyStack-PlotPy-2af0906/plotpy/builder/annotation.py000066400000000000000000000425771525747167300232460ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Annotation Item builder ----------------------- This module provides a set of factory functions to simplify the creation of annotation items. """ # Note: when adding method to builder classes, please do not forget to update the # documentation (see builder.rst file). Because of class inheritance, the methods # are not automatically documented (otherwise, they would be sorted alphabetically, # due to a limitation of sphinx auto-doc). from __future__ import annotations import numpy as np from plotpy.config import _ from plotpy.items import ( AnnotatedCircle, AnnotatedEllipse, AnnotatedPoint, AnnotatedPolygon, AnnotatedRectangle, AnnotatedSegment, AnnotatedXRange, AnnotatedYRange, ) from plotpy.styles import AnnotationParam class AnnotationBuilder: """Class regrouping a set of factory functions to simplify the creation of annotation items.""" def __get_annotationparam( self, title: str | None = None, subtitle: str | None = None, show_label: bool | None = None, show_computations: bool | None = None, show_subtitle: bool | None = None, format: str | None = None, uncertainty: float | None = None, transform_matrix: np.ndarray | None = None, readonly: bool | None = None, private: bool | None = None, ) -> AnnotationParam: param = AnnotationParam(_("Annotation"), icon="annotation.png") if title is not None: param.title = title if subtitle is not None: param.subtitle = subtitle if show_label is not None: param.show_label = show_label if show_computations is not None: param.show_computations = show_computations if show_subtitle is not None: param.show_subtitle = show_subtitle if format is not None: param.format = format if uncertainty is not None: param.uncertainty = uncertainty if transform_matrix is not None: param.transform_matrix = transform_matrix if readonly is not None: param.readonly = readonly if private is not None: param.private = private return param def annotated_point( self, x: float, y: float, title: str | None = None, subtitle: str | None = None, show_label: bool | None = None, show_computations: bool | None = None, show_subtitle: bool | None = None, format: str | None = None, uncertainty: float | None = None, transform_matrix: np.ndarray | None = None, readonly: bool | None = None, private: bool | None = None, ) -> AnnotatedPoint: """Make an annotated point `plot item` Args: x: point x coordinate y: point y coordinate title: label name. Default is None subtitle: label subtitle. Default is None show_label: show label. Default is None show_computations: show computations. Default is None show_subtitle: show subtitle. Default is None format: string formatting. Default is None uncertainty: measurement relative uncertainty. Default is None transform_matrix: transform matrix. Default is None readonly: readonly. Default is None private: private. Default is None Returns: :py:class:`.AnnotatedPoint` object """ param = self.__get_annotationparam( title=title, subtitle=subtitle, show_label=show_label, show_computations=show_computations, show_subtitle=show_subtitle, format=format, uncertainty=uncertainty, transform_matrix=transform_matrix, readonly=readonly, private=private, ) shape = AnnotatedPoint(x, y, param) shape.set_style("plot", "shape/drag") return shape def __annotated_shape( self, shapeclass, points, title, subtitle, show_label, show_computations, show_subtitle, format, uncertainty, transform_matrix, readonly, private, section: str = "plot", option: str = "shape/drag", ): param = self.__get_annotationparam( title=title, subtitle=subtitle, show_label=show_label, show_computations=show_computations, show_subtitle=show_subtitle, format=format, uncertainty=uncertainty, transform_matrix=transform_matrix, readonly=readonly, private=private, ) if isinstance(points, np.ndarray): shape = shapeclass(points, annotationparam=param) else: shape = shapeclass(*points, annotationparam=param) shape.set_style(section, option) return shape def annotated_rectangle( self, x0: float, y0: float, x1: float, y1: float, title: str | None = None, subtitle: str | None = None, show_label: bool | None = None, show_computations: bool | None = None, show_subtitle: bool | None = None, format: str | None = None, uncertainty: float | None = None, transform_matrix: np.ndarray | None = None, readonly: bool | None = None, private: bool | None = None, ) -> AnnotatedRectangle: """Make an annotated rectangle `plot item` Args: x0: rectangle x0 coordinate y0: rectangle y0 coordinate x1: rectangle x1 coordinate y1: rectangle y1 coordinate title: label name. Default is None subtitle: label subtitle. Default is None show_label: show label. Default is None show_computations: show computations. Default is None show_subtitle: show subtitle. Default is None format: string formatting. Default is None uncertainty: measurement relative uncertainty. Default is None transform_matrix: transform matrix. Default is None readonly: readonly. Default is None private: private. Default is None Returns: :py:class:`.AnnotatedRectangle` object """ points = x0, y0, x1, y1 return self.__annotated_shape( AnnotatedRectangle, points, title, subtitle, show_label, show_computations, show_subtitle, format, uncertainty, transform_matrix, readonly, private, ) def annotated_ellipse( self, x0: float, y0: float, x1: float, y1: float, x2: float | None = None, y2: float | None = None, x3: float | None = None, y3: float | None = None, title: str | None = None, subtitle: str | None = None, show_label: bool | None = None, show_computations: bool | None = None, show_subtitle: bool | None = None, format: str | None = None, uncertainty: float | None = None, transform_matrix: np.ndarray | None = None, readonly: bool | None = None, private: bool | None = None, ) -> AnnotatedEllipse: """Make an annotated ellipse `plot item` Args: x0: ellipse x0 coordinate y0: ellipse y0 coordinate x1: ellipse x1 coordinate y1: ellipse y1 coordinate x2: ellipse x2 coordinate. Default is None y2: ellipse y2 coordinate. Default is None x3: ellipse x3 coordinate. Default is None y3: ellipse y3 coordinate. Default is None title: label name. Default is None subtitle: label subtitle. Default is None show_label: show label. Default is None show_computations: show computations. Default is None show_subtitle: show subtitle. Default is None format: string formatting. Default is None uncertainty: measurement relative uncertainty. Default is None transform_matrix: transform matrix. Default is None readonly: readonly. Default is None private: private. Default is None Returns: :py:class:`.AnnotatedEllipse` object """ points = x0, y0, x1, y1 item = self.__annotated_shape( AnnotatedEllipse, points, title, subtitle, show_label, show_computations, show_subtitle, format, uncertainty, transform_matrix, readonly, private, ) if x2 is not None and y2 is not None and x3 is not None and y3 is not None: item.set_ydiameter(x2, y2, x3, y3) return item def annotated_circle( self, x0: float, y0: float, x1: float, y1: float, title: str | None = None, subtitle: str | None = None, show_label: bool | None = None, show_computations: bool | None = None, show_subtitle: bool | None = None, format: str | None = None, uncertainty: float | None = None, transform_matrix: np.ndarray | None = None, readonly: bool | None = None, private: bool | None = None, ) -> AnnotatedCircle: """Make an annotated circle `plot item` Args: x0: circle x0 coordinate y0: circle y0 coordinate x1: circle x1 coordinate y1: circle y1 coordinate title: label name. Default is None subtitle: label subtitle. Default is None show_label: show label. Default is None show_computations: show computations. Default is None show_subtitle: show subtitle. Default is None format: string formatting. Default is None uncertainty: measurement relative uncertainty. Default is None transform_matrix: transform matrix. Default is None readonly: readonly. Default is None private: private. Default is None Returns: :py:class:`.AnnotatedCircle` object """ points = x0, y0, x1, y1 return self.__annotated_shape( AnnotatedCircle, points, title, subtitle, show_label, show_computations, show_subtitle, format, uncertainty, transform_matrix, readonly, private, ) def annotated_segment( self, x0: float, y0: float, x1: float, y1: float, title: str | None = None, subtitle: str | None = None, show_label: bool | None = None, show_computations: bool | None = None, show_subtitle: bool | None = None, format: str | None = None, uncertainty: float | None = None, transform_matrix: np.ndarray | None = None, readonly: bool | None = None, private: bool | None = None, ) -> AnnotatedSegment: """Make an annotated segment `plot item` Args: x0: segment x0 coordinate y0: segment y0 coordinate x1: segment x1 coordinate y1: segment y1 coordinate title: label name. Default is None subtitle: label subtitle. Default is None show_label: show label. Default is None show_computations: show computations. Default is None show_subtitle: show subtitle. Default is None format: string formatting. Default is None uncertainty: measurement relative uncertainty. Default is None transform_matrix: transform matrix. Default is None readonly: readonly. Default is None private: private. Default is None Returns: :py:class:`.AnnotatedSegment` object """ points = x0, y0, x1, y1 return self.__annotated_shape( AnnotatedSegment, points, title, subtitle, show_label, show_computations, show_subtitle, format, uncertainty, transform_matrix, readonly, private, ) def annotated_xrange( self, x0: float, x1: float, title: str | None = None, subtitle: str | None = None, show_label: bool | None = None, show_computations: bool | None = None, show_subtitle: bool | None = None, format: str | None = None, uncertainty: float | None = None, transform_matrix: np.ndarray | None = None, readonly: bool | None = None, private: bool | None = None, ) -> AnnotatedXRange: """Make an annotated x-range selection `plot item` Args: x0: lower x coordinate x1: upper x coordinate title: label name. Default is None subtitle: label subtitle. Default is None show_label: show label. Default is None show_computations: show computations. Default is None show_subtitle: show subtitle. Default is None format: string formatting. Default is None uncertainty: measurement relative uncertainty. Default is None transform_matrix: transform matrix. Default is None readonly: readonly. Default is None private: private. Default is None Returns: :py:class:`.AnnotatedXRange` object """ return self.__annotated_shape( AnnotatedXRange, (x0, x1), title, subtitle, show_label, show_computations, show_subtitle, format, uncertainty, transform_matrix, readonly, private, section="plot", option="range", ) def annotated_yrange( self, y0: float, y1: float, title: str | None = None, subtitle: str | None = None, show_label: bool | None = None, show_computations: bool | None = None, show_subtitle: bool | None = None, format: str | None = None, uncertainty: float | None = None, transform_matrix: np.ndarray | None = None, readonly: bool | None = None, private: bool | None = None, ) -> AnnotatedYRange: """Make an annotated y-range selection `plot item` Args: y0: lower y coordinate y1: upper y coordinate title: label name. Default is None subtitle: label subtitle. Default is None show_label: show label. Default is None show_computations: show computations. Default is None show_subtitle: show subtitle. Default is None format: string formatting. Default is None uncertainty: measurement relative uncertainty. Default is None transform_matrix: transform matrix. Default is None readonly: readonly. Default is None private: private. Default is None Returns: :py:class:`.AnnotatedYRange` object """ return self.__annotated_shape( AnnotatedYRange, (y0, y1), title, subtitle, show_label, show_computations, show_subtitle, format, uncertainty, transform_matrix, readonly, private, section="plot", option="range", ) def annotated_polygon( self, points: np.ndarray, title: str | None = None, subtitle: str | None = None, show_label: bool | None = None, show_computations: bool | None = None, show_subtitle: bool | None = None, format: str | None = None, uncertainty: float | None = None, transform_matrix: np.ndarray | None = None, readonly: bool | None = None, private: bool | None = None, ) -> AnnotatedPolygon: """Make an annotated polygon `plot item` Args: points: polygon points title: label name. Default is None subtitle: label subtitle. Default is None show_label: show label. Default is None show_computations: show computations. Default is None show_subtitle: show subtitle. Default is None format: string formatting. Default is None uncertainty: measurement relative uncertainty. Default is None transform_matrix: transform matrix. Default is None readonly: readonly. Default is None private: private. Default is None Returns: :py:class:`.AnnotatedPolygon` object """ return self.__annotated_shape( AnnotatedPolygon, points, title, subtitle, show_label, show_computations, show_subtitle, format, uncertainty, transform_matrix, readonly, private, ) PlotPyStack-PlotPy-2af0906/plotpy/builder/curvemarker.py000066400000000000000000001134461525747167300234140ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Curve/cursor/marker/... Item builder ------------------------------------ This module provides a set of factory functions to simplify the creation of curve, cursor, marker, histogram and flow field items. """ # Note: when adding method to builder classes, please do not forget to update the # documentation (see builder.rst file). Because of class inheritance, the methods # are not automatically documented (otherwise, they would be sorted alphabetically, # due to a limitation of sphinx auto-doc). from __future__ import annotations import re from typing import TYPE_CHECKING import numpy # only to help intersphinx finding numpy doc import numpy as np from plotpy.config import CONF, _, make_title from plotpy.items import ( CurveItem, ErrorBarCurveItem, HistogramItem, Marker, QuiverItem, XRangeSelection, YRangeSelection, ) from plotpy.plot import BasePlot from plotpy.styles import ( COLORS, MARKERS, CurveParam, ErrorBarParam, HistogramParam, MarkerParam, style_generator, update_style_attr, ) if TYPE_CHECKING: from typing import Callable CURVE_COUNT = 0 HISTOGRAM_COUNT = 0 class CurveMarkerCursorBuilder: """Class regrouping a set of factory functions to simplify the creation of curve, cursor and marker items.""" def __init__(self): self.style = style_generator() self.range = self.xrange # Compatibility with old code # ---- Plot items ----------------------------------------------------------------- def __set_curve_axes(self, curve: CurveItem, xaxis: str, yaxis: str) -> None: """Set curve axes""" for axis in (xaxis, yaxis): if axis not in BasePlot.AXIS_NAMES: raise RuntimeError(f"Unknown axis {axis}") curve.setXAxis(BasePlot.AXIS_NAMES[xaxis]) curve.setYAxis(BasePlot.AXIS_NAMES[yaxis]) def __set_baseparam( self, param: CurveParam | MarkerParam, color: str | None = None, linestyle: str | None = None, linewidth: float | None = None, marker: str | None = None, markersize: int | None = None, markerfacecolor: str | None = None, markeredgecolor: str | None = None, ) -> None: """Apply parameters to a :py:class:`.CurveParam` or :py:class:`.MarkerParam` instance""" if color is not None: color = COLORS.get(color, color) # MATLAB-style param.line.color = color if linestyle is not None: param.line.set_style_from_matlab(linestyle) if linewidth is not None: param.line.width = linewidth if marker is not None: if marker in MARKERS: param.symbol.update_param(MARKERS[marker]) # MATLAB-style else: param.symbol.marker = marker if markersize is not None: param.symbol.size = markersize if markerfacecolor is not None: markerfacecolor = COLORS.get( markerfacecolor, markerfacecolor ) # MATLAB-style param.symbol.facecolor = markerfacecolor if markeredgecolor is not None: markeredgecolor = COLORS.get( markeredgecolor, markeredgecolor ) # MATLAB-style param.symbol.edgecolor = markeredgecolor def __set_param( self, param: CurveParam, title: str | None = None, color: str | None = None, linestyle: str | None = None, linewidth: float | None = None, marker: str | None = None, markersize: int | None = None, markerfacecolor: str | None = None, markeredgecolor: str | None = None, shade: bool | None = None, curvestyle: str | None = None, baseline: float | None = None, dsamp_factor: int | None = None, use_dsamp: bool | None = None, ) -> None: """Apply parameters to a :py:class:`.CurveParam` instance""" self.__set_baseparam( param, color, linestyle, linewidth, marker, markersize, markerfacecolor, markeredgecolor, ) if title: param.label = title if shade is not None: param.shade = shade if curvestyle is not None: param.curvestyle = curvestyle if baseline is not None: param.baseline = baseline if dsamp_factor is not None: param.dsamp_factor = dsamp_factor if use_dsamp is not None: param.use_dsamp = use_dsamp def __get_arg_triple_plot(self, args): """Convert MATLAB-like arguments into x, y, style""" def get_x_y_from_data(data): """ :param data: :return: """ if isinstance(data, (tuple, list)): data = np.array(data) if len(data.shape) == 1 or 1 in data.shape: x = np.arange(data.size) y = data else: x = np.arange(len(data[:, 0])) y = [data[:, i] for i in range(len(data[0, :]))] return x, y if len(args) == 1: if isinstance(args[0], str): x = np.array((), float) y = np.array((), float) style = args[0] else: x, y = get_x_y_from_data(args[0]) if not isinstance(y, np.ndarray): style = [next(self.style) for yi in y] else: style = next(self.style) elif len(args) == 2: a1, a2 = args if isinstance(a2, str): x, y = get_x_y_from_data(a1) style = a2 else: x = a1 y = a2 style = next(self.style) elif len(args) == 3: x, y, style = args else: raise TypeError("Wrong number of arguments") if isinstance(x, (list, tuple)): x = np.array(x) if isinstance(y, (list, tuple)) and isinstance(y, np.ndarray): y = np.array(y) return x, y, style def __get_arg_triple_errorbar(self, args): """Convert MATLAB-like arguments into x, y, style""" if len(args) == 2: y, dy = args x = np.arange(len(y)) dx = np.zeros(len(y)) style = next(self.style) elif len(args) == 3: a1, a2, a3 = args if isinstance(a3, str): y, dy = a1, a2 x = np.arange(len(y)) dx = np.zeros(len(y)) style = a3 else: x, y, dy = args dx = np.zeros(len(y)) style = next(self.style) elif len(args) == 4: a1, a2, a3, a4 = args if isinstance(a4, str): x, y, dy = a1, a2, a3 dx = np.zeros(len(y)) style = a4 else: x, y, dx, dy = args style = next(self.style) elif len(args) == 5: x, y, dx, dy, style = args else: raise TypeError("Wrong number of arguments") return x, y, dx, dy, style def mcurve(self, *args, **kwargs) -> CurveItem | list[CurveItem]: """Make a curve `plot item` based on MATLAB-like syntax (may returns a list of curves if data contains more than one signal) Args: args: x, y, style kwargs: title, color, linestyle, linewidth, marker, markersize, markerfacecolor, markeredgecolor, shade, curvestyle, baseline, dsamp_factor, use_dsamp Returns: :py:class:`.CurveItem` object Example:: mcurve(x, y, 'r+') """ # noqa: E501 x, y, style = self.__get_arg_triple_plot(args) if isinstance(y, np.ndarray): y = [y] if not isinstance(style, list): style = [style] if len(y) > len(style): style = [style[0]] * len(y) basename = _("Curve") curves = [] for yi, stylei in zip(y, style): param = CurveParam(title=basename, icon="curve.png") if "label" in kwargs: param.label = kwargs.pop("label") else: global CURVE_COUNT CURVE_COUNT += 1 param.label = make_title(basename, CURVE_COUNT) if "dsamp_factor" in kwargs: param.dsamp_factor = kwargs.pop("dsamp_factor") if "use_dsamp" in kwargs: param.use_dsamp = kwargs.pop("use_dsamp") update_style_attr(stylei, param) curves.append(self.pcurve(x, yi, param, **kwargs)) if len(curves) == 1: return curves[0] else: return curves def pcurve( self, x: numpy.ndarray, y: numpy.ndarray, param: CurveParam, xaxis: str = "bottom", yaxis: str = "left", ) -> CurveItem: """Make a curve `plot item` based on a :py:class:`.CurveParam` instance Args: x: x data y: y data param: curve parameters xaxis: x axis name. Default is 'bottom' yaxis: y axis name. Default is 'left' Returns: :py:class:`.CurveItem` object Example:: pcurve(x, y, param) """ curve = CurveItem(param) curve.set_data(x, y) curve.update_params() self.__set_curve_axes(curve, xaxis, yaxis) return curve def curve( self, x: numpy.ndarray, y: numpy.ndarray, title: str = "", color: str | None = None, linestyle: str | None = None, linewidth: float | None = None, marker: str | None = None, markersize: int | None = None, markerfacecolor: str | None = None, markeredgecolor: str | None = None, shade: bool | None = None, curvestyle: str | None = None, baseline: float | None = None, xaxis: str = "bottom", yaxis: str = "left", dsamp_factor: int | None = None, use_dsamp: bool | None = None, dx: numpy.ndarray | None = None, dy: numpy.ndarray | None = None, errorbarwidth: int | None = None, errorbarcap: int | None = None, errorbarmode: str | None = None, errorbaralpha: float | None = None, ) -> CurveItem: """Make a curve `plot item` from x, y, data Args: x: x data y: y data title: curve title. Default is '' color: curve color name. Default is None linestyle: curve line style (MATLAB-like string or "SolidLine", "DashLine", "DotLine", "DashDotLine", "DashDotDotLine", "NoPen"). Default is None linewidth: line width (pixels). Default is None marker: marker shape (MATLAB-like string or "Cross", "Ellipse", "Star1", "XCross", "Rect", "Diamond", "UTriangle", "DTriangle", "RTriangle", "LTriangle", "Star2", "NoSymbol"). Default is None markersize: marker size (pixels). Default is None markerfacecolor: marker face color name. Default is None markeredgecolor: marker edge color name. Default is None shade: 0 <= float <= 1 (curve shade). Default is None curvestyle: "Lines", "Sticks", "Steps", "Dots", "NoCurve". Default is None baseline: baseline value. Default is None xaxis: x axis name. Default is 'bottom' yaxis: y axis name. Default is 'left' dsamp_factor: downsampling factor. Default is None use_dsamp: use downsampling. Default is None dx: x error data. Default is None dy: y error data. Default is None errorbarwidth: error bar width (pixels). Default is None errorbarcap: error bar cap size (pixels). Default is None errorbarmode: error bar mode ("Vertical", "Horizontal", "Both"). Default is None errorbaralpha: 0 <= float <= 1 (error bar transparency). Default is None Returns: :py:class:`.CurveItem` object Example:: curve(x, y, marker='Ellipse', markerfacecolor='#ffffff') which is equivalent to (MATLAB-style support):: curve(x, y, marker='o', markerfacecolor='w') """ if dx is not None or dy is not None: return self.error( x, y, dx, dy, title=title, color=color, linestyle=linestyle, linewidth=linewidth, errorbarwidth=errorbarwidth, errorbarcap=errorbarcap, errorbarmode=errorbarmode, errorbaralpha=errorbaralpha, marker=marker, markersize=markersize, markerfacecolor=markerfacecolor, markeredgecolor=markeredgecolor, shade=shade, curvestyle=curvestyle, baseline=baseline, xaxis=xaxis, yaxis=yaxis, dsamp_factor=dsamp_factor, use_dsamp=use_dsamp, ) basename = _("Curve") param = CurveParam(title=basename, icon="curve.png") if not title: global CURVE_COUNT CURVE_COUNT += 1 title = make_title(basename, CURVE_COUNT) self.__set_param( param, title, color, linestyle, linewidth, marker, markersize, markerfacecolor, markeredgecolor, shade, curvestyle, baseline, dsamp_factor, use_dsamp, ) return self.pcurve(x, y, param, xaxis, yaxis) def merror(self, *args, **kwargs) -> ErrorBarCurveItem: """Make an errorbar curve `plot item` based on MATLAB-like syntax Args: args: x, y, dx, dy, style kwargs: title, color, linestyle, linewidth, marker, markersize, markerfacecolor, markeredgecolor, shade, curvestyle, baseline, xaxis, yaxis, errorbarwidth, errorbarcap, errorbarmode, errorbaralpha Returns: :py:class:`.ErrorBarCurveItem` object Example:: mcurve(x, y, 'r+') """ # noqa: E501 x, y, dx, dy, style = self.__get_arg_triple_errorbar(args) basename = _("Curve") curveparam = CurveParam(title=basename, icon="curve.png") errorbarparam = ErrorBarParam(title=_("Error bars"), icon="errorbar.png") if "label" in kwargs: curveparam.label = kwargs["label"] else: global CURVE_COUNT CURVE_COUNT += 1 curveparam.label = make_title(basename, CURVE_COUNT) update_style_attr(style, curveparam) errorbarparam.color = curveparam.line.color return self.perror(x, y, dx, dy, curveparam, errorbarparam) def perror( self, x: numpy.ndarray, y: numpy.ndarray, dx: numpy.ndarray, dy: numpy.ndarray, curveparam: CurveParam, errorbarparam: ErrorBarParam, xaxis: str = "bottom", yaxis: str = "left", ) -> ErrorBarCurveItem: """Make an errorbar curve `plot item` based on a :py:class:`.ErrorBarParam` instance Args: x: x data y: y data dx: x error data dy: y error data curveparam: curve style errorbarparam: error bar style xaxis: x axis name. Default is 'bottom' yaxis: y axis name. Default is 'left' Returns: :py:class:`.ErrorBarCurveItem` object Example:: perror(x, y, dx, dy, curveparam, errorbarparam) """ curve = ErrorBarCurveItem(curveparam, errorbarparam) curve.set_data(x, y, dx, dy) curve.update_params() self.__set_curve_axes(curve, xaxis, yaxis) return curve def error( self, x: numpy.ndarray, y: numpy.ndarray, dx: numpy.ndarray, dy: numpy.ndarray, title: str = "", color: str | None = None, linestyle: str | None = None, linewidth: float | None = None, errorbarwidth: int | None = None, errorbarcap: int | None = None, errorbarmode: str | None = None, errorbaralpha: float | None = None, marker: str | None = None, markersize: float | None = None, markerfacecolor: str | None = None, markeredgecolor: str | None = None, shade: bool | None = None, curvestyle: str | None = None, baseline: float | None = None, xaxis: str = "bottom", yaxis: str = "left", dsamp_factor: int | None = None, use_dsamp: bool | None = None, ) -> ErrorBarCurveItem: """Make an errorbar curve `plot item` Args: x: x data y: y data dx: x error data dy: y error data title: curve title. Default is '' color: curve color name. Default is None linestyle: curve line style (MATLAB-like string or attribute name from the `PyQt5.QtCore.Qt.PenStyle` enum (i.e. "SolidLine" "DashLine", "DotLine", "DashDotLine", "DashDotDotLine" or "NoPen"). Default is None linewidth: line width (pixels). Default is None errorbarwidth: error bar width (pixels). Default is None errorbarcap: error bar cap length (pixels). Default is None errorbarmode: error bar mode (MATLAB-like string or attribute name from the `qwt.QwtPlotCurve.ErrorBar` enum (i.e. "NoError", "ErrorBar", "ErrorSymbol", "ErrorBarSymbol", "ErrorBarCurve"). Default is None errorbaralpha: error bar alpha value (0.0 transparent through 1.0 opaque). Default is None marker: marker shape (MATLAB-like string or attribute name from the `qwt.QwtSymbol.Style` enum (i.e. "Cross", "Ellipse", "Star1", "XCross", "Rect", "Diamond", "UTriangle", "DTriangle", "RTriangle", "LTriangle", "NoSymbol"). Default is None markersize: marker size (pixels). Default is None markerfacecolor: marker face color name. Default is None markeredgecolor: marker edge color name. Default is None shade: shade under curve. Default is None curvestyle: curve style (MATLAB-like string or attribute name from the `qwt.QwtPlotCurve.CurveStyle` enum (i.e. "NoCurve", "Lines", "Sticks", "Steps", "Dots"). Default is None baseline: baseline value. Default is None xaxis: x axis name. Default is 'bottom' yaxis: y axis name. Default is 'left' dsamp_factor: downsampling factor. Default is None use_dsamp: use downsampling. Default is None Returns: :py:class:`.ErrorBarCurveItem` object Example:: error(x, y, None, dy, marker='Ellipse', markerfacecolor='#ffffff') which is equivalent to (MATLAB-style support):: error(x, y, None, dy, marker='o', markerfacecolor='w') """ basename = _("Curve") curveparam = CurveParam(title=basename, icon="curve.png") errorbarparam = ErrorBarParam(title=_("Error bars"), icon="errorbar.png") if not title: global CURVE_COUNT CURVE_COUNT += 1 curveparam.label = make_title(basename, CURVE_COUNT) self.__set_param( curveparam, title, color, linestyle, linewidth, marker, markersize, markerfacecolor, markeredgecolor, shade, curvestyle, baseline, dsamp_factor, use_dsamp, ) errorbarparam.color = curveparam.line.color if errorbarwidth is not None: errorbarparam.width = errorbarwidth if errorbarcap is not None: errorbarparam.cap = errorbarcap if errorbarmode is not None: errorbarparam.mode = errorbarmode if errorbaralpha is not None: errorbarparam.alpha = errorbaralpha return self.perror(x, y, dx, dy, curveparam, errorbarparam, xaxis, yaxis) def histogram( self, data: numpy.ndarray, bins: int | None = None, logscale: bool | None = None, title: str = "", color: str | None = None, xaxis: str = "bottom", yaxis: str = "left", ) -> HistogramItem: """Make 1D Histogram `plot item` Args: data: data bins: number of bins. Default is None logscale: Y-axis scale. Default is None title: curve title. Default is '' color: curve color name. Default is None xaxis: x axis name. Default is 'bottom' yaxis: y axis name. Default is 'left' Returns: :py:class:`.HistogramItem` object """ basename = _("Histogram") histparam = HistogramParam(title=basename, icon="histogram.png") curveparam = CurveParam(_("Curve"), icon="curve.png") curveparam.read_config(CONF, "histogram", "curve") if not title: global HISTOGRAM_COUNT HISTOGRAM_COUNT += 1 title = make_title(basename, HISTOGRAM_COUNT) curveparam.label = title if color is not None: curveparam.line.color = color if bins is not None: histparam.n_bins = bins if logscale is not None: histparam.logscale = logscale return self.phistogram(data, curveparam, histparam, xaxis, yaxis) def phistogram( self, data: numpy.ndarray, curveparam: CurveParam, histparam: HistogramParam, xaxis: str = "bottom", yaxis: str = "left", ) -> HistogramItem: """Make 1D histogram `plot item` based on a :py:class:`.CurveParam` and :py:class:`.HistogramParam` instances Args: data: data curveparam: curve parameters histparam: histogram parameters xaxis: x axis name. Default is 'bottom' yaxis: y axis name. Default is 'left' Returns: :py:class:`.HistogramItem` object Example:: phistogram(data, curveparam, histparam) """ hist = HistogramItem(curveparam, histparam) hist.update_params() hist.set_hist_data(data) self.__set_curve_axes(hist, xaxis, yaxis) return hist def xrange(self, xmin: float, xmax: float) -> XRangeSelection: """Make a X-range `plot item` Args: xmin: minimum value xmax: maximum value Returns: :py:class:`.XRangeSelection` object """ return XRangeSelection(xmin, xmax) def yrange(self, ymin: float, ymax: float) -> YRangeSelection: """Make a Y-range `plot item` Args: ymin: minimum value ymax: maximum value Returns: :py:class:`.YRangeSelection` object """ return YRangeSelection(ymin, ymax) def vcursor( self, x: float, label: str | None = None, constraint_cb: Callable | None = None, movable: bool = True, readonly: bool = False, ) -> Marker: """Make a vertical cursor `plot item` Args: x: cursor position label: cursor label. Default is None constraint_cb: constraint callback. Default is None movable: enable/disable cursor move. Default is True readonly: enable/disable cursor edition. Default is False Returns: :py:class:`.Marker` object """ if label is None: def label_cb(x, y): """Label callback""" return "" else: # Test the label format once with a dummy value to determine the strategy dummy_x = 3.14159 try: _ = label % dummy_x # Test if old-style formatting works # If we get here, old-style formatting works fine def label_cb(x, y): """Label callback""" return label % x except (ValueError, TypeError): # If old-style formatting fails, prepare regex-based fallback # Pre-compile patterns for efficiency patterns = [ (re.compile(r"%g"), lambda x: str(x)), (re.compile(r"%f"), lambda x: f"{x:f}"), (re.compile(r"%d"), lambda x: f"{int(x):d}"), (re.compile(r"%.(\d+)f"), lambda x, m: f"{x:.{m.group(1)}f}"), (re.compile(r"%.(\d+)g"), lambda x, m: f"{x:.{m.group(1)}g}"), ] def label_cb(x, y): """Label callback with regex-based replacement""" result = label for pattern, replacement_func in patterns: if pattern.groups > 0: # Pattern with groups def repl(match): return replacement_func(x, match) result = pattern.sub(repl, result) else: # Simple pattern result = pattern.sub(lambda m: replacement_func(x), result) return result return self.marker( position=(x, 0), markerstyle="|", label_cb=label_cb, constraint_cb=constraint_cb, movable=movable, readonly=readonly, ) def hcursor( self, y: float, label: str | None = None, constraint_cb: Callable | None = None, movable: bool = True, readonly: bool = False, ) -> Marker: """Make an horizontal cursor `plot item` Args: y: cursor position label: cursor label. Default is None constraint_cb: constraint callback. Default is None movable: enable/disable cursor move. Default is True readonly: enable/disable cursor edition. Default is False Returns: :py:class:`.Marker` object """ if label is None: def label_cb(x, y): """Label callback""" return "" else: # Test the label format once with a dummy value to determine the strategy dummy_y = 3.14159 try: _ = label % dummy_y # Test if old-style formatting works # If we get here, old-style formatting works fine def label_cb(x, y): """Label callback""" return label % y except (ValueError, TypeError): # If old-style formatting fails, prepare regex-based fallback import re # Pre-compile patterns for efficiency patterns = [ (re.compile(r"%g"), lambda y: str(y)), (re.compile(r"%f"), lambda y: f"{y:f}"), (re.compile(r"%d"), lambda y: f"{int(y):d}"), (re.compile(r"%.(\d+)f"), lambda y, m: f"{y:.{m.group(1)}f}"), (re.compile(r"%.(\d+)g"), lambda y, m: f"{y:.{m.group(1)}g}"), ] def label_cb(x, y): """Label callback with regex-based replacement""" result = label for pattern, replacement_func in patterns: if pattern.groups > 0: # Pattern with groups def repl(match): return replacement_func(y, match) result = pattern.sub(repl, result) else: # Simple pattern result = pattern.sub(lambda m: replacement_func(y), result) return result return self.marker( position=(0, y), markerstyle="-", label_cb=label_cb, constraint_cb=constraint_cb, movable=movable, readonly=readonly, ) def xcursor( self, x: float, y: float, label: str | None = None, constraint_cb: Callable | None = None, movable: bool = True, readonly: bool = False, ) -> Marker: """Make a cross cursor `plot item` Args: x: cursor position y: cursor position label: cursor label. Default is None constraint_cb: constraint callback. Default is None movable: enable/disable cursor move. Default is True readonly: enable/disable cursor edition. Default is False Returns: :py:class:`.Marker` object """ if label is None: def label_cb(x, y): """Label callback""" return "" else: # Test the label format once with dummy values to determine the strategy dummy_x, dummy_y = 3.14159, 2.71828 try: _ = label % (dummy_x, dummy_y) # Test if old-style formatting works # If we get here, old-style formatting works fine def label_cb(x, y): """Label callback""" return label % (x, y) except (ValueError, TypeError): # If old-style formatting fails, prepare regex-based fallback import re # Pre-compile patterns for efficiency # For xcursor, handle both single and dual format specifiers single_patterns = [ (re.compile(r"%g"), lambda val: str(val)), (re.compile(r"%f"), lambda val: f"{val:f}"), (re.compile(r"%d"), lambda val: f"{int(val):d}"), (re.compile(r"%.(\d+)f"), lambda val, m: f"{val:.{m.group(1)}f}"), (re.compile(r"%.(\d+)g"), lambda val, m: f"{val:.{m.group(1)}g}"), ] def label_cb(x, y): """Label callback with regex-based replacement""" result = label # Apply single patterns, alternating between x and y values x_turn = True # Start with x for pattern, replacement_func in single_patterns: if pattern.groups > 0: # Pattern with groups def repl(match): nonlocal x_turn val = x if x_turn else y x_turn = not x_turn return replacement_func(val, match) result = pattern.sub(repl, result) else: # Simple pattern def repl(match): nonlocal x_turn val = x if x_turn else y x_turn = not x_turn return replacement_func(val) result = pattern.sub(repl, result) return result return self.marker( position=(x, y), markerstyle="+", label_cb=label_cb, constraint_cb=constraint_cb, movable=movable, readonly=readonly, ) def marker( self, position: tuple[float, float] | None = None, label_cb: Callable | None = None, constraint_cb: Callable | None = None, movable: bool = True, readonly: bool = False, markerstyle: str | None = None, markerspacing: float | None = None, color: str | None = None, linestyle: str | None = None, linewidth: float | None = None, marker: str | None = None, markersize: float | None = None, markerfacecolor: str | None = None, markeredgecolor: str | None = None, ) -> Marker: """Make a marker `plot item` Args: position: marker position label_cb: label callback. Default is None constraint_cb: constraint callback. Default is None movable: enable/disable marker move. Default is True readonly: enable/disable marker edition. Default is False markerstyle: marker style. Default is None markerspacing: spacing between text and marker line. Default is None color: marker color name. Default is None linestyle: marker line style (MATLAB-like string or attribute name from the `PyQt5.QtCore.Qt.PenStyle` enum (i.e. "SolidLine" "DashLine", "DotLine", "DashDotLine", "DashDotDotLine" or "NoPen"). Default is None linewidth: line width (pixels). Default is None marker: marker shape (MATLAB-like string or "Cross", "Plus", "Circle", "Disc", "Square", "Diamond", "TriangleUp", "TriangleDown", "TriangleLeft", "TriangleRight", "TriRight", "TriLeft", "TriDown", "TriUp", "Octagon", "Star1", "Star2", "Pentagon", "Hexagon1", "Hexagon2", "Plus (filled)", "Cross (filled)", "Square (filled)", "Diamond (filled)", "TriangleUp (filled)", "TriangleDown (filled)", "TriangleLeft (filled)", "TriangleRight (filled)", "TriRight (filled)", "TriLeft (filled)", "TriDown (filled)", "TriUp (filled)", "Octagon (filled)", "Star1 (filled)", "Star2 (filled)", "Pentagon (filled)", "Hexagon1 (filled)", "Hexagon2 (filled)"). Default is None markersize: marker size (pixels). Default is None markerfacecolor: marker face color name. Default is None markeredgecolor: marker edge color name. Default is None Returns: :py:class:`.Marker` object """ param = MarkerParam(_("Marker"), icon="marker.png") param.read_config(CONF, "plot", "marker/cursor") if ( color or linestyle or linewidth or marker or markersize or markerfacecolor or markeredgecolor ): param.line = param.sel_line param.symbol = param.sel_symbol param.text = param.sel_text self.__set_baseparam( param, color, linestyle, linewidth, marker, markersize, markerfacecolor, markeredgecolor, ) param.sel_line = param.line param.sel_symbol = param.symbol param.sel_text = param.text if markerstyle: param.set_markerstyle(markerstyle) if markerspacing: param.spacing = markerspacing if not movable: param.symbol.marker = param.sel_symbol.marker = "NoSymbol" marker = Marker( label_cb=label_cb, constraint_cb=constraint_cb, markerparam=param ) if position is not None: x, y = position marker.set_pos(x, y) marker.set_readonly(readonly) if not movable: marker.set_movable(False) marker.set_resizable(False) return marker def quiver( self, x: numpy.ndarray, y: numpy.ndarray, u: numpy.ndarray, v: numpy.ndarray, title: str = "", color: str | None = None, arrow_scale: float = 30.0, arrow_head_size: float = 6.0, headwidth: float = 0.7, xaxis: str = "bottom", yaxis: str = "left", ) -> QuiverItem: """Make a quiver (vector field) `plot item` Displays arrows at grid positions (x, y) with direction and magnitude defined by (u, v) components, similar to Matplotlib's ``quiver``. Args: x: 1D or 2D array of arrow X positions y: 1D or 2D array of arrow Y positions u: 1D or 2D array of arrow X components v: 1D or 2D array of arrow Y components title: plot item title. Default is '' color: arrow color name. Default is None (black) arrow_scale: scale factor for arrow length in pixels. Default is 30.0. Larger values produce longer arrows. arrow_head_size: size of arrow heads in pixels. Default is 6.0 headwidth: arrow head width as multiple of head size. Default is 0.7 xaxis: x axis name. Default is 'bottom' yaxis: y axis name. Default is 'left' Returns: :py:class:`.QuiverItem` object Example:: import numpy as np x = np.linspace(-2, 2, 10) y = np.linspace(-2, 2, 10) X, Y = np.meshgrid(x, y) U, V = -Y, X # Rotational field quiver(X, Y, U, V, title="Rotation", color="blue") """ if color is None: color = "black" item = QuiverItem( x, y, u, v, color=color, arrow_scale=arrow_scale, arrow_head_size=arrow_head_size, headwidth=headwidth, ) if title: item.setTitle(title) else: item.setTitle(_("Vector field")) item.setXAxis(BasePlot.AXIS_NAMES[xaxis]) item.setYAxis(BasePlot.AXIS_NAMES[yaxis]) return item PlotPyStack-PlotPy-2af0906/plotpy/builder/image.py000066400000000000000000001011221525747167300221340ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Image Item builder ------------------ This module provides a set of factory functions to simplify the creation of image items. """ # Note: when adding method to builder classes, please do not forget to update the # documentation (see builder.rst file). Because of class inheritance, the methods # are not automatically documented (otherwise, they would be sorted alphabetically, # due to a limitation of sphinx auto-doc). from __future__ import annotations import os.path as osp from collections.abc import Callable from typing import TYPE_CHECKING import numpy # only to help intersphinx finding numpy doc import numpy as np from plotpy import io from plotpy.config import _, make_title from plotpy.constants import LUTAlpha from plotpy.items import ( ContourItem, Histogram2DItem, ImageItem, MaskedImageItem, MaskedXYImageItem, QuadGridItem, RGBImageItem, TrImageItem, XYImageItem, create_contour_items, ) from plotpy.styles import ( Histogram2DParam, ImageFilterParam, ImageParam, MaskedImageParam, MaskedXYImageParam, QuadGridParam, RGBImageParam, TrImageParam, XYImageParam, ) if TYPE_CHECKING: from plotpy.items.image.filter import ImageFilterItem IMAGE_COUNT = 0 HISTOGRAM2D_COUNT = 0 class ImageBuilder: """Class regrouping a set of factory functions to simplify the creation of image items.""" def __set_image_param( self, param: ImageParam, title: str | None, alpha_function: LUTAlpha | str | None, alpha: float | None, interpolation: str, **kwargs, ) -> None: if title: param.label = title else: global IMAGE_COUNT IMAGE_COUNT += 1 param.label = make_title(_("Image"), IMAGE_COUNT) if alpha_function is not None: if isinstance(alpha_function, str): alpha_function = LUTAlpha.get_member_from_name(alpha_function) assert isinstance(alpha_function, LUTAlpha) param.alpha_function = alpha_function.value if alpha is not None: assert 0.0 <= alpha <= 1.0 param.alpha = alpha interp_methods = {"nearest": 0, "linear": 1, "antialiasing": 5} param.interpolation = interp_methods[interpolation] for key, val in list(kwargs.items()): if val is not None: setattr(param, key, val) def _get_image_data( self, data: numpy.ndarray, filename: str | None, title: str | None, to_grayscale: bool, ) -> tuple[numpy.ndarray, str | None, str | None]: if data is None: assert filename is not None data = io.imread(filename, to_grayscale=to_grayscale) if title is None and filename is not None: title = osp.basename(filename) return data, filename, title @staticmethod def compute_bounds( data: numpy.ndarray, pixel_size: float | tuple[float, float], center_on: tuple[float, float] | None = None, ) -> tuple[float, float, float, float]: """Return image bounds from *pixel_size* (scalar or tuple) Args: data: image data pixel_size: pixel size center_on: center coordinates. Default is None Returns: tuple: xmin, xmax, ymin, ymax """ if not isinstance(pixel_size, (tuple, list)): pixel_size = [pixel_size, pixel_size] dx, dy = pixel_size xmin, ymin = 0.0, 0.0 xmax, ymax = data.shape[1] * dx, data.shape[0] * dy if center_on is not None: xc, yc = center_on dx, dy = 0.5 * (xmax - xmin) - xc, 0.5 * (ymax - ymin) - yc xmin -= dx xmax -= dx ymin -= dy ymax -= dy return xmin, xmax, ymin, ymax def image( self, data: numpy.ndarray | None = None, filename: str | None = None, title: str | None = None, alpha_function: LUTAlpha | str | None = None, alpha: float | None = None, background_color: str | None = None, colormap: str | None = None, xdata: list[float] = [None, None], ydata: list[float] = [None, None], pixel_size: float | tuple[float, float] | None = None, center_on: tuple[float, float] | None = None, interpolation: str = "linear", eliminate_outliers: float | None = None, xformat: str = "%.1f", yformat: str = "%.1f", zformat: str = "%.1f", x: numpy.ndarray | None = None, y: numpy.ndarray | None = None, lut_range: tuple[float, float] | None = None, lock_position: bool = True, ) -> ImageItem | XYImageItem | RGBImageItem: """Make an image `plot item` from data Args: data: data. Default is None filename: image filename. Default is None title: image title. Default is None alpha_function: function for LUT alpha channel. Default is :py:attr:`.LUTAlpha.NONE` (valid string values are 'none', 'constant', 'linear', 'sigmoid', 'tanh' and 'step') alpha: alpha value. Default is None background_color: background color name. Default is None colormap: colormap name. Default is None xdata: x data. Default is [None, None] ydata: y data. Default is [None, None] pixel_size: pixel size. Default is None center_on: center on. Default is None interpolation: interpolation method. Default is 'linear' eliminate_outliers: eliminate outliers. Default is None xformat: x format. Default is '%.1f' yformat: y format. Default is '%.1f' zformat: z format. Default is '%.1f' x: x data. Default is None y: y data. Default is None lut_range: LUT range. Default is None lock_position: lock position. Default is True Returns: :py:class:`.ImageItem` object or :py:class:`.XYImageItem` object if `x` and `y` are specified or :py:class:`.RGBImageItem` object if data has 3 dimensions """ if x is not None or y is not None: assert pixel_size is None and center_on is None, ( "Ambiguous parameters:" "both `x`/`y` and `pixel_size`/`center_on`/`xdata`/`ydata`" " were specified" ) return self.xyimage( x, y, data, title=title, alpha_function=alpha_function, alpha=alpha, background_color=background_color, colormap=colormap, interpolation=interpolation, eliminate_outliers=eliminate_outliers, xformat=xformat, yformat=yformat, zformat=zformat, lut_range=lut_range, lock_position=lock_position, ) assert isinstance(xdata, (tuple, list)) and len(xdata) == 2 assert isinstance(ydata, (tuple, list)) and len(ydata) == 2 param = ImageParam(title=_("Image"), icon="image.png") data, filename, title = self._get_image_data( data, filename, title, to_grayscale=True ) if isinstance(filename, str) and filename.lower().endswith(".dcm"): # pylint: disable=import-outside-toplevel # pylint: disable=import-error from pydicom import dcmread # type:ignore template = dcmread(filename, stop_before_pixels=True, force=True) ipp = getattr(template, "ImagePositionPatient", ["0", "0", "0"]) pxs = getattr(template, "PixelSpacing", ["1", "1"]) ipx, ipy = float(ipp[0]), float(ipp[1]) pixel_size = dy, dx = float(pxs[0]), float(pxs[1]) xc = (0.5 * data.shape[1] - 1) * dx + ipx yc = (0.5 * data.shape[0] - 1) * dy + ipy center_on = xc, yc if data.ndim == 3: return self.rgbimage( data=data, filename=filename, title=title, alpha_function=alpha_function, alpha=alpha, ) assert data.ndim == 2, "Data must have 2 dimensions" if pixel_size is None: assert center_on is None, ( "Argument `pixel_size` must be specified when `center_on`" ) xmin, xmax = xdata ymin, ymax = ydata else: xmin, xmax, ymin, ymax = self.compute_bounds(data, pixel_size, center_on) self.__set_image_param( param, title, alpha_function, alpha, interpolation, background=background_color, colormap=colormap, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, xformat=xformat, yformat=yformat, zformat=zformat, lock_position=lock_position, ) image = ImageItem(data, param) image.set_filename(filename) if lut_range is not None: assert eliminate_outliers is None, ( "Ambiguous parameters: both `lut_range`" " and `eliminate_outliers` were specified" ) image.set_lut_range(lut_range) elif eliminate_outliers is not None: image.set_lut_threshold(eliminate_outliers) return image def maskedimage( self, data: numpy.ndarray | None = None, mask: numpy.ndarray | None = None, filename: str | None = None, title: str | None = None, alpha_function: LUTAlpha | str | None = None, alpha: float = 1.0, xdata: list[float] = [None, None], ydata: list[float] = [None, None], pixel_size: float | tuple[float, float] | None = None, center_on: tuple[float, float] | None = None, background_color: str | None = None, colormap: str | None = None, show_mask: bool = False, fill_value: float | None = None, interpolation: str = "linear", eliminate_outliers: float | None = None, xformat: str = "%.1f", yformat: str = "%.1f", zformat: str = "%.1f", x: numpy.ndarray | None = None, y: numpy.ndarray | None = None, lut_range: tuple[float, float] | None = None, lock_position: bool = True, ) -> MaskedImageItem | MaskedXYImageItem: """Make a masked image `plot item` from data Args: data: data. Default is None mask: mask. Default is None filename: image filename. Default is None title: image title. Default is None alpha_function: function for LUT alpha channel. Default is :py:attr:`.LUTAlpha.NONE` (valid string values are 'none', 'constant', 'linear', 'sigmoid', 'tanh' and 'step') alpha: alpha value. Default is 1.0 xdata: x data. Default is [None, None] ydata: y data. Default is [None, None] pixel_size: pixel size. Default is None center_on: center on. Default is None background_color: background color. Default is None colormap: colormap. Default is None show_mask: show mask. Default is False fill_value: fill value. Default is None interpolation: interpolation method. Default is 'linear' eliminate_outliers: eliminate outliers. Default is None xformat: x format. Default is '%.1f' yformat: y format. Default is '%.1f' zformat: z format. Default is '%.1f' x: x data. Default is None y: y data. Default is None lut_range: LUT range. Default is None lock_position: lock position. Default is True Returns: :py:class:`.MaskedImageItem` object or :py:class:`.MaskedXYImageItem` object """ if x is not None or y is not None: assert pixel_size is None and center_on is None, ( "Ambiguous parameters:" "both `x`/`y` and `pixel_size`/`center_on`/`xdata`/`ydata`" " were specified" ) return self.maskedxyimage( x, y, data, mask=mask, title=title, alpha_function=alpha_function, alpha=alpha, background_color=background_color, colormap=colormap, show_mask=show_mask, fill_value=fill_value, interpolation=interpolation, eliminate_outliers=eliminate_outliers, xformat=xformat, yformat=yformat, zformat=zformat, lut_range=lut_range, lock_position=lock_position, ) assert isinstance(xdata, (tuple, list)) and len(xdata) == 2 assert isinstance(ydata, (tuple, list)) and len(ydata) == 2 param = MaskedImageParam(title=_("Image"), icon="image.png") data, filename, title = self._get_image_data( data, filename, title, to_grayscale=True ) assert data.ndim == 2, "Data must have 2 dimensions" if pixel_size is None: assert center_on is None, ( "Ambiguous parameters: both `center_on`" " and `xdata`/`ydata` were specified" ) xmin, xmax = xdata ymin, ymax = ydata else: xmin, xmax, ymin, ymax = self.compute_bounds(data, pixel_size, center_on) self.__set_image_param( param, title, alpha_function, alpha, interpolation, background=background_color, colormap=colormap, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, show_mask=show_mask, fill_value=fill_value, xformat=xformat, yformat=yformat, zformat=zformat, lock_position=lock_position, ) image = MaskedImageItem(data, mask, param) image.set_filename(filename) if lut_range is not None: assert eliminate_outliers is None, ( "Ambiguous parameters: both `lut_range`" " and `eliminate_outliers` were specified" ) image.set_lut_range(lut_range) elif eliminate_outliers is not None: image.set_lut_threshold(eliminate_outliers) return image def maskedxyimage( self, x: numpy.ndarray, y: numpy.ndarray, data: numpy.ndarray, mask: numpy.ndarray | None = None, title: str | None = None, alpha_function: LUTAlpha | str | None = None, alpha: float = 1.0, background_color: str | None = None, colormap: str | None = None, show_mask: bool = False, fill_value: float | None = None, interpolation: str = "linear", eliminate_outliers: float | None = None, xformat: str = "%.1f", yformat: str = "%.1f", zformat: str = "%.1f", lut_range: tuple[float, float] | None = None, lock_position: bool = True, ) -> MaskedXYImageItem: """Make a masked XY image `plot item` from data Args: x: x data y: y data data: data mask: mask. Default is None title: image title. Default is None alpha_function: function for LUT alpha channel. Default is :py:attr:`.LUTAlpha.NONE` (valid string values are 'none', 'constant', 'linear', 'sigmoid', 'tanh' and 'step') alpha: alpha value. Default is 1.0 background_color: background color. Default is None colormap: colormap. Default is None show_mask: show mask. Default is False fill_value: fill value. Default is None interpolation: interpolation method. Default is 'linear' eliminate_outliers: eliminate outliers. Default is None xformat: x format. Default is '%.1f' yformat: y format. Default is '%.1f' zformat: z format. Default is '%.1f' lut_range: LUT range. Default is None lock_position: lock position. Default is True Returns: :py:class:`.MaskedXYImageItem` object """ if isinstance(x, (list, tuple)): x = np.array(x) if isinstance(y, (list, tuple)): y = np.array(y) param = MaskedXYImageParam(title=_("Image"), icon="image.png") assert data.ndim == 2, "Data must have 2 dimensions" self.__set_image_param( param, title, alpha_function, alpha, interpolation, background=background_color, colormap=colormap, show_mask=show_mask, fill_value=fill_value, xformat=xformat, yformat=yformat, zformat=zformat, lock_position=lock_position, ) image = MaskedXYImageItem(x, y, data, mask, param) if lut_range is not None: assert eliminate_outliers is None, ( "Ambiguous parameters: both `lut_range`" " and `eliminate_outliers` were specified" ) image.set_lut_range(lut_range) elif eliminate_outliers is not None: image.set_lut_threshold(eliminate_outliers) return image def rgbimage( self, data: numpy.ndarray | None = None, filename: str | None = None, title: str | None = None, alpha_function: LUTAlpha | str | None = None, alpha: float = 1.0, xdata: list | tuple = [None, None], ydata: list | tuple = [None, None], pixel_size: float | None = None, center_on: tuple | None = None, interpolation: str = "linear", lock_position: bool = True, ) -> RGBImageItem: """Make a RGB image `plot item` from data Args: data: data filename: filename. Default is None title: image title. Default is None alpha_function: function for LUT alpha channel. Default is :py:attr:`.LUTAlpha.NONE` (valid string values are 'none', 'constant', 'linear', 'sigmoid', 'tanh' and 'step') alpha: alpha value. Default is 1.0 xdata: x data. Default is [None, None] ydata: y data. Default is [None, None] pixel_size: pixel size. Default is None center_on: center on. Default is None interpolation: interpolation method. Default is 'linear' lock_position: lock position. Default is True Returns: :py:class:`.RGBImageItem` object """ assert isinstance(xdata, (tuple, list)) and len(xdata) == 2 assert isinstance(ydata, (tuple, list)) and len(ydata) == 2 param = RGBImageParam(title=_("Image"), icon="image.png") data, filename, title = self._get_image_data( data, filename, title, to_grayscale=False ) assert data.ndim == 3, "RGB data must have 3 dimensions" if pixel_size is None: assert center_on is None, ( "Ambiguous parameters: both `center_on`" " and `xdata`/`ydata` were specified" ) xmin, xmax = xdata ymin, ymax = ydata else: xmin, xmax, ymin, ymax = self.compute_bounds(data, pixel_size, center_on) self.__set_image_param( param, title, alpha_function, alpha, interpolation, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, lock_position=lock_position, ) image = RGBImageItem(data, param) image.set_filename(filename) return image def quadgrid( self, X: numpy.ndarray, Y: numpy.ndarray, Z: numpy.ndarray, title: str | None = None, alpha_function: LUTAlpha | str | None = None, alpha: float | None = None, colormap: str | None = None, interpolation: str = "linear", lock_position: bool = True, ) -> QuadGridItem: """Make a pseudocolor `plot item` of a 2D array Args: X: x data Y: y data Z: data title: image title. Default is None alpha_function: function for LUT alpha channel. Default is :py:attr:`.LUTAlpha.NONE` (valid string values are 'none', 'constant', 'linear', 'sigmoid', 'tanh' and 'step') alpha: alpha value. Default is None colormap: colormap. Default is None interpolation: interpolation method. Default is 'linear' lock_position: lock position. Default is True Returns: :py:class:`.QuadGridItem` object """ param = QuadGridParam(title=_("Image"), icon="image.png") self.__set_image_param( param, title, alpha_function, alpha, interpolation, colormap=colormap, lock_position=lock_position, ) image = QuadGridItem(X, Y, Z, param) return image def pcolor(self, *args, **kwargs) -> QuadGridItem: """Make a pseudocolor `plot item` of a 2D array based on MATLAB-like syntax Args: args: non-keyword arguments kwargs: keyword arguments Returns: :py:class:`.QuadGridItem` object Examples:: pcolor(C) pcolor(X, Y, C) """ # noqa: E501 if len(args) == 1: (Z,) = args M, N = Z.shape X, Y = np.meshgrid(np.arange(N, dtype=Z.dtype), np.arange(M, dtype=Z.dtype)) elif len(args) == 3: X, Y, Z = args else: raise RuntimeError("1 or 3 non-keyword arguments expected") return self.quadgrid(X, Y, Z, **kwargs) def trimage( self, data: numpy.ndarray | None = None, filename: str | None = None, title: str | None = None, alpha_function: LUTAlpha | str | None = None, alpha: float | None = None, background_color: str | None = None, colormap: str | None = None, x0: float = 0.0, y0: float = 0.0, angle: float = 0.0, dx: float = 1.0, dy: float = 1.0, interpolation: str = "linear", eliminate_outliers: float | None = None, xformat: str = "%.1f", yformat: str = "%.1f", zformat: str = "%.1f", lut_range: tuple[float, float] | None = None, lock_position: bool = False, ) -> TrImageItem: """Make a transformable image `plot item` (image with an arbitrary affine transform) Args: data: data filename: filename. Default is None title: image title. Default is None alpha_function: function for LUT alpha channel. Default is :py:attr:`.LUTAlpha.NONE` (valid string values are 'none', 'constant', 'linear', 'sigmoid', 'tanh' and 'step') alpha: alpha value. Default is None background_color: background color. Default is None colormap: colormap. Default is None x0: x position. Default is 0.0 y0: y position. Default is 0.0 angle: angle (radians). Default is 0.0 dx: pixel size along X axis. Default is 1.0 dy: pixel size along Y axis. Default is 1.0 interpolation: interpolation method. Default is 'linear' eliminate_outliers: eliminate outliers. Default is None xformat: x format. Default is '%.1f' yformat: y format. Default is '%.1f' zformat: z format. Default is '%.1f' lut_range: LUT range. Default is None lock_position: lock position. Default is False Returns: :py:class:`.TrImageItem` object """ param = TrImageParam(title=_("Image"), icon="image.png") data, filename, title = self._get_image_data( data, filename, title, to_grayscale=True ) self.__set_image_param( param, title, alpha_function, alpha, interpolation, background=background_color, colormap=colormap, pos_x0=x0, pos_y0=y0, angle=angle, dx=dx, dy=dy, xformat=xformat, yformat=yformat, zformat=zformat, lock_position=lock_position, ) image = TrImageItem(data, param) image.set_filename(filename) if lut_range is not None: assert eliminate_outliers is None, ( "Ambiguous parameters: both `lut_range`" " and `eliminate_outliers` were specified" ) image.set_lut_range(lut_range) elif eliminate_outliers is not None: image.set_lut_threshold(eliminate_outliers) return image def xyimage( self, x: numpy.ndarray, y: numpy.ndarray, data: numpy.ndarray, title: str | None = None, alpha_function: LUTAlpha | str | None = None, alpha: float | None = None, background_color: str | None = None, colormap: str | None = None, interpolation: str = "linear", eliminate_outliers: float | None = None, xformat: str = "%.1f", yformat: str = "%.1f", zformat: str = "%.1f", lut_range: tuple[float, float] | None = None, lock_position: bool = False, ) -> XYImageItem: """Make an xyimage `plot item` (image with non-linear X/Y axes) from data Args: x: X coordinates y: Y coordinates data: data title: image title. Default is None alpha_function: function for LUT alpha channel. Default is :py:attr:`.LUTAlpha.NONE` (valid string values are 'none', 'constant', 'linear', 'sigmoid', 'tanh' and 'step') alpha: alpha value. Default is None background_color: background color. Default is None colormap: colormap. Default is None interpolation: interpolation method. Default is 'linear' eliminate_outliers: eliminate outliers. Default is None xformat: x format. Default is '%.1f' yformat: y format. Default is '%.1f' zformat: z format. Default is '%.1f' lut_range: LUT range. Default is None lock_position: lock position. Default is True Returns: :py:class:`.XYImageItem` object """ param = XYImageParam(title=_("Image"), icon="image.png") self.__set_image_param( param, title, alpha_function, alpha, interpolation, background=background_color, colormap=colormap, xformat=xformat, yformat=yformat, zformat=zformat, lock_position=lock_position, ) if isinstance(x, (list, tuple)): x = np.array(x) if isinstance(y, (list, tuple)): y = np.array(y) image = XYImageItem(x, y, data, param) if lut_range is not None: assert eliminate_outliers is None, ( "Ambiguous parameters: both `lut_range`" " and `eliminate_outliers` were specified" ) image.set_lut_range(lut_range) elif eliminate_outliers is not None: image.set_lut_threshold(eliminate_outliers) return image def imagefilter( self, xmin: float, xmax: float, ymin: float, ymax: float, imageitem: ImageItem, filter: Callable, title: str | None = None, ) -> ImageFilterItem: """Make a rectangular area image filter `plot item` Args: xmin: xmin xmax: xmax ymin: ymin ymax: ymax imageitem: image item filter: filter function title: filter title. Default is None Returns: :py:class:`.ImageFilterItem` object """ param = ImageFilterParam(_("Filter"), icon="funct.png") param.xmin, param.xmax, param.ymin, param.ymax = xmin, xmax, ymin, ymax if title is not None: param.label = title filt = imageitem.get_filter(filter, param) _m, _M = imageitem.get_lut_range() filt.set_lut_range([_m, _M]) return filt def contours( self, Z: np.ndarray, levels: float | np.ndarray, X: np.ndarray | None = None, Y: np.ndarray | None = None, color: str | None = None, linestyle: str | None = None, linewidth: float | None = None, ) -> list[ContourItem]: """Make a contour curves Args: Z: The height values over which the contour is drawn. levels : Determines the number and positions of the contour lines/regions. If a float, draw contour lines at this specified levels If array-like, draw contour lines at the specified levels. The values must be in increasing order. X: The coordinates of the values in *Z*. *X* must be 2-D with the same shape as *Z* (e.g. created via ``numpy.meshgrid``), or it must both be 1-D such that ``len(X) == M`` is the number of columns in *Z*. If none, they are assumed to be integer indices, i.e. ``X = range(M)``. Y: The coordinates of the values in *Z*. *Y* must be 2-D with the same shape as *Z* (e.g. created via ``numpy.meshgrid``), or it must both be 1-D such that ``len(Y) == N`` is the number of rows in *Z*. If none, they are assumed to be integer indices, i.e. ``Y = range(N)``. color: contour color name. Default is None linestyle: contour line style (MATLAB-like string or "SolidLine", "DashLine", "DotLine", "DashDotLine", "DashDotDotLine", "NoPen"). Default is None linewidth: contour line width (pixels). Default is None Returns: list of :py:class:`.ContourItem` objects """ return create_contour_items( Z, levels, X, Y, color=color, linestyle=linestyle, linewidth=linewidth, ) def histogram2D( self, X: numpy.ndarray, Y: numpy.ndarray, NX: int | None = None, NY: int | None = None, logscale: bool | None = None, title: str | None = None, transparent: bool | None = None, Z: numpy.ndarray | None = None, computation: int = -1, interpolation: int = 0, lock_position: bool = True, ) -> Histogram2DItem: """Make a 2D Histogram `plot item` Args: X: X data Y: Y data NX: number of bins along x-axis. Default is None NY: number of bins along y-axis. Default is None logscale: Z-axis scale. Default is None title: item title. Default is None transparent: enable transparency. Default is None Z: Z data. Default is None computation: computation mode. Default is -1 interpolation: interpolation mode. Default is 0 lock_position: lock position. Default is True Returns: :py:class:`.Histogram2DItem` object """ basename = _("2D Histogram") param = Histogram2DParam(title=basename, icon="histogram2d.png") if NX is not None: param.nx_bins = NX if NY is not None: param.ny_bins = NY if logscale is not None: param.logscale = int(logscale) if title is not None: param.label = title else: global HISTOGRAM2D_COUNT HISTOGRAM2D_COUNT += 1 param.label = make_title(basename, HISTOGRAM2D_COUNT) if transparent is not None: param.transparent = transparent param.computation = computation param.interpolation = interpolation param.lock_position = lock_position return Histogram2DItem(X, Y, param, Z=Z) PlotPyStack-PlotPy-2af0906/plotpy/builder/label.py000066400000000000000000000256221525747167300221430ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Label Item builder ------------------ This module provides a set of factory functions to simplify the creation of label items. """ # Note: when adding method to builder classes, please do not forget to update the # documentation (see builder.rst file). Because of class inheritance, the methods # are not automatically documented (otherwise, they would be sorted alphabetically, # due to a limitation of sphinx auto-doc). from __future__ import annotations from collections.abc import Callable from plotpy.config import CONF, _, make_title from plotpy.items import ( CurveItem, DataInfoLabel, ImageItem, LabelItem, LegendBoxItem, RangeComputation2d, RangeInfo, RectangleShape, SelectedLegendBoxItem, XRangeComputation, XRangeSelection, YRangeComputation, YRangeSelection, ) from plotpy.styles import LabelParam, LabelParamWithContents, LegendParam # default offset positions for anchors ANCHOR_OFFSETS = { "TL": (5, 5), "TR": (-5, 5), "BL": (5, -5), "BR": (-5, -5), "L": (5, 0), "R": (-5, 0), "T": (0, 5), "B": (0, -5), } LABEL_COUNT = 0 class LabelBuilder: """Class regrouping a set of factory functions to simplify the creation of label items.""" def label( self, text: str, g: tuple[float, float] | str, c: tuple[int, int], anchor: str, title: str = "", ) -> LabelItem: """Make a label `plot item` Args: text: label text g: position in plot coordinates or relative position (string) c: position in canvas coordinates anchor: anchor position in relative position (string) title: label title. Default is '' Returns: :py:class:`.LabelItem` object Examples:: make.label("Relative position", (x[0], y[0]), (10, 10), "BR") make.label("Absolute position", "R", (0,0), "R") """ basename = _("Label") param = LabelParamWithContents(basename, icon="label.png") param.read_config(CONF, "plot", "label") if title: param.label = title else: global LABEL_COUNT LABEL_COUNT += 1 param.label = make_title(basename, LABEL_COUNT) if isinstance(g, tuple): param.abspos = False param.xg, param.yg = g else: param.abspos = True param.absg = g if c is None: c = ANCHOR_OFFSETS[anchor] param.xc, param.yc = c param.anchor = anchor return LabelItem(text, param) def legend( self, anchor: str = "TR", c: tuple[int, int] | None = None, restrict_items: list | None = None, ) -> LegendBoxItem | SelectedLegendBoxItem: """Make a legend `plot item` Args: anchor: legend position in relative position (string) c: position in canvas coordinates restrict_items: list of items to be shown in legend box. Default is None. If None, all items are shown in legend box. If [], no item is shown in legend box. If [item1, item2], item1, item2 are shown in legend box. Returns: :py:class:`.LegendBoxItem` or :py:class:`.SelectedLegendBoxItem` object """ param = LegendParam(_("Legend"), icon="legend.png") param.read_config(CONF, "plot", "legend") param.abspos = True param.absg = anchor param.anchor = anchor if c is None: c = ANCHOR_OFFSETS[anchor] param.xc, param.yc = c if restrict_items is None: return LegendBoxItem(param) else: return SelectedLegendBoxItem(param, restrict_items) def info_label( self, anchor: str, comps: list[XRangeSelection] | list[YRangeSelection], title: str | None = None, ) -> DataInfoLabel: """Make an info label `plot item` Args: anchor: anchor position. See :py:class:`.LabelParam` for details comps: list of :py:class:`.label.XRangeComputation` or :py:class:`.label.YRangeComputation` objects title: label name. Default is None Returns: :py:class:`.DataInfoLabel` object """ basename = _("Computation") param = LabelParam(basename, icon="label.png") param.read_config(CONF, "plot", "info_label") if title is not None: param.label = title else: global LABEL_COUNT LABEL_COUNT += 1 param.label = make_title(basename, LABEL_COUNT) param.abspos = True param.absg = anchor param.anchor = anchor c = ANCHOR_OFFSETS[anchor] param.xc, param.yc = c return DataInfoLabel(param, comps) def range_info_label( self, range: XRangeSelection | YRangeSelection, anchor: str, label: str, function: Callable = None, title: str | None = None, ) -> DataInfoLabel: """Make an info label `plot item` showing an `XRangeSelection` or `YRangeSelection` object information. Args: range: range selection object anchor: anchor position. See :py:class:`.LabelParam` for details label: label name. See :py:class:`.DataInfoLabel` for details function: function to apply to the range selection object Default is None (default function is `lambda x, dx: (x, dx)`) title: label name. Default is None Returns: :py:class:`.DataInfoLabel` object Example:: x = linspace(-10, 10, 10) y = sin(sin(sin(x))) range = make.xrange(-2, 2) disp = make.range_info_label(range, 'BL', "x = %.1f ยฑ %.1f cm", lambda x, dx: (x, dx)) """ info = RangeInfo(label, range, function) return self.info_label(anchor, info, title=title) def computation( self, range: XRangeSelection | YRangeSelection, anchor: str, label: str, curve: CurveItem | None = None, function: Callable | None = None, title: str | None = None, ) -> DataInfoLabel: """Make a computation label `plot item` Args: range: range selection object anchor: anchor position. See :py:class:`.LabelParam` for details label: label name. See :py:class:`.DataInfoLabel` for details curve: curve item (not used for `YRangeSelection`) function: function to apply to the range selection object Default is None (default function is `lambda x, dx: (x, dx)`) Returns: :py:class:`.DataInfoLabel` object """ if title is None: title = curve.param.label if isinstance(range, XRangeSelection): specs = [(curve, label, function)] elif isinstance(range, YRangeSelection): specs = [(label, function)] else: raise TypeError( "Invalid range selection type: " f"{type(range).__name__}. " "Expected XRangeSelection or YRangeSelection." ) return self.computations(range, anchor, specs, title=title) def computations( self, rangeselection: XRangeSelection | YRangeSelection, anchor: str, specs: list[tuple[CurveItem, str, Callable]] | list[tuple[str, Callable]], title: str | None = None, ) -> DataInfoLabel: """Make computation labels `plot item` Args: rangeselection: range selection object anchor: anchor position. See :py:class:`.LabelParam` for details specs: list of (curve, label, function) tuples for `XRangeComputation`, list of (label, function) tuples for `YRangeComputation` title: label name. Default is None Returns: Data info label object """ comps = [] if isinstance(rangeselection, XRangeSelection): same_curve = True curve0 = None for curve, label, function in specs: comp = XRangeComputation(label, curve, rangeselection, function) comps.append(comp) if curve0 is None: curve0 = curve same_curve = same_curve and curve is curve0 if title is None and same_curve: title = curve.param.label elif isinstance(rangeselection, YRangeSelection): for label, function in specs: comp = YRangeComputation(label, rangeselection, function) comps.append(comp) else: raise TypeError( "Invalid range selection type: " f"{type(rangeselection).__name__}. " "Expected XRangeSelection or YRangeSelection." ) return self.info_label(anchor, comps, title=title) def computation2d( self, rect: RectangleShape, anchor: str, label: str, image: ImageItem, function: Callable, title: str | None = None, ) -> DataInfoLabel: """Make a 2D computation label `plot item` Args: rect: rectangle selection object anchor: anchor position. See :py:class:`.LabelParam` for details label: label name. See :py:class:`.DataInfoLabel` for details image: image item function: function to apply to the rectangle selection object Default is None (default function is `lambda x, dx: (x, dx)`) title: label name. Default is None Returns: Data info label object """ return self.computations2d( rect, anchor, [(image, label, function)], title=title ) def computations2d( self, rect: RectangleShape, anchor: str, specs: list, title: str | None = None ) -> DataInfoLabel: """Make 2D computation labels `plot item` Args: rect: rectangle selection object anchor: anchor position. See :py:class:`.LabelParam` for details specs: list of (image, label, function) tuples title: label name. Default is None Returns: Data info label object """ comps = [] same_image = True image0 = None for image, label, function in specs: comp = RangeComputation2d(label, image, rect, function) comps.append(comp) if image0 is None: image0 = image same_image = same_image and image is image0 if title is None and same_image: title = image.param.label return self.info_label(anchor, comps, title=title) PlotPyStack-PlotPy-2af0906/plotpy/builder/plot.py000066400000000000000000000410261525747167300220360ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Widget/plot builder ------------------- This module provides a set of factory functions to simplify the creation of plot widgets and grid items. """ # Note: when adding method to builder classes, please do not forget to update the # documentation (see builder.rst file). Because of class inheritance, the methods # are not automatically documented (otherwise, they would be sorted alphabetically, # due to a limitation of sphinx auto-doc). from __future__ import annotations from typing import TYPE_CHECKING from plotpy.config import CONF, _ from plotpy.items import GridItem from plotpy.plot import PlotDialog, PlotOptions, PlotWidget, PlotWindow from plotpy.styles import COLORS, GridParam, LineStyleParam if TYPE_CHECKING: from qtpy.QtWidgets import QWidget from plotpy.constants import PlotType from plotpy.panels import PanelWidget class WidgetBuilder: """Class regrouping a set of factory functions to simplify the creation of plot widgets and grid items.""" # ---- Plot widgets --------------------------------------------------------------- def widget( self, parent: QWidget | None = None, toolbar: bool = False, panels: tuple[PanelWidget] | None = None, auto_tools: bool = True, title: str | None = None, xlabel: str | tuple[str, str] | None = None, ylabel: str | tuple[str, str] | None = None, zlabel: str | None = None, xunit: str | tuple[str, str] | None = None, yunit: str | tuple[str, str] | None = None, zunit: str | None = None, yreverse: bool | None = None, aspect_ratio: float = 1.0, lock_aspect_ratio: bool | None = None, curve_antialiasing: bool | None = None, gridparam: GridParam | None = None, section: str = "plot", type: str | PlotType = "auto", axes_synchronised: bool = False, force_colorbar_enabled: bool = False, no_image_analysis_widgets: bool = False, show_contrast: bool = False, show_itemlist: bool = False, show_xsection: bool = False, show_ysection: bool = False, xsection_pos: str = "top", ysection_pos: str = "right", ) -> PlotWidget: """Make a plot widget (:py:class:`.PlotWidget` object) Args: parent: Parent widget toolbar: Show/hide toolbar panels: Additionnal panels auto_tools: If True, the plot tools are automatically registered. If False, the user must register the tools manually. title: The plot title xlabel: (bottom axis title, top axis title) or bottom axis title only ylabel: (left axis title, right axis title) or left axis title only zlabel: The Z-axis label xunit: (bottom axis unit, top axis unit) or bottom axis unit only yunit: (left axis unit, right axis unit) or left axis unit only zunit: The Z-axis unit yreverse: If True, the Y-axis is reversed aspect_ratio: The plot aspect ratio lock_aspect_ratio: If True, the aspect ratio is locked curve_antialiasing: If True, the curve antialiasing is enabled gridparam: The grid parameters section: The plot configuration section name ("plot", by default) type: The plot type ("auto", "manual", "curve" or "image") axes_synchronised: If True, the axes are synchronised force_colorbar_enabled: If True, the colorbar is always enabled no_image_analysis_widgets: If True, the image analysis widgets are not added show_contrast: If True, the contrast adjustment panel is visible show_itemlist: If True, the itemlist panel is visible show_xsection: If True, the X-axis cross section panel is visible show_ysection: If True, the Y-axis cross section panel is visible xsection_pos: The X-axis cross section panel position ("top" or "bottom") ysection_pos: The Y-axis cross section panel position ("left" or "right") """ options = PlotOptions( title=title, xlabel=xlabel, ylabel=ylabel, zlabel=zlabel, xunit=xunit, yunit=yunit, zunit=zunit, yreverse=yreverse, aspect_ratio=aspect_ratio, lock_aspect_ratio=lock_aspect_ratio, curve_antialiasing=curve_antialiasing, gridparam=gridparam, section=section, type=type, axes_synchronised=axes_synchronised, force_colorbar_enabled=force_colorbar_enabled, no_image_analysis_widgets=no_image_analysis_widgets, show_contrast=show_contrast, show_itemlist=show_itemlist, show_xsection=show_xsection, show_ysection=show_ysection, xsection_pos=xsection_pos, ysection_pos=ysection_pos, ) return PlotWidget( parent, toolbar=toolbar, options=options, panels=panels, auto_tools=auto_tools, ) def dialog( self, parent: QWidget | None = None, toolbar: bool = False, panels: tuple[PanelWidget] | None = None, auto_tools: bool = True, wintitle: str = "PlotPy", icon: str = "plotpy.svg", edit: bool = False, size: tuple[int, int] | None = None, title: str | None = None, xlabel: str | tuple[str, str] | None = None, ylabel: str | tuple[str, str] | None = None, zlabel: str | None = None, xunit: str | tuple[str, str] | None = None, yunit: str | tuple[str, str] | None = None, zunit: str | None = None, yreverse: bool | None = None, aspect_ratio: float = 1.0, lock_aspect_ratio: bool | None = None, curve_antialiasing: bool | None = None, gridparam: GridParam | None = None, section: str = "plot", type: str | PlotType = "auto", axes_synchronised: bool = False, force_colorbar_enabled: bool = False, no_image_analysis_widgets: bool = False, show_contrast: bool = False, show_itemlist: bool = False, show_xsection: bool = False, show_ysection: bool = False, xsection_pos: str = "top", ysection_pos: str = "right", ) -> PlotDialog: """Make a plot dialog (:py:class:`.PlotDialog` object) Args: parent: Parent widget toolbar: Show/hide toolbar panels: Additionnal panels auto_tools: If True, the plot tools are automatically registered. If False, the user must register the tools manually. wintitle: The window title icon: The window icon edit: If True, the plot is editable size: The window size title: The plot title xlabel: (bottom axis title, top axis title) or bottom axis title only ylabel: (left axis title, right axis title) or left axis title only zlabel: The Z-axis label xunit: (bottom axis unit, top axis unit) or bottom axis unit only yunit: (left axis unit, right axis unit) or left axis unit only zunit: The Z-axis unit yreverse: If True, the Y-axis is reversed aspect_ratio: The plot aspect ratio lock_aspect_ratio: If True, the aspect ratio is locked curve_antialiasing: If True, the curve antialiasing is enabled gridparam: The grid parameters section: The plot configuration section name ("plot", by default) type: The plot type ("auto", "manual", "curve" or "image") axes_synchronised: If True, the axes are synchronised force_colorbar_enabled: If True, the colorbar is always enabled no_image_analysis_widgets: If True, the image analysis widgets are not added show_contrast: If True, the contrast adjustment panel is visible show_itemlist: If True, the itemlist panel is visible show_xsection: If True, the X-axis cross section panel is visible show_ysection: If True, the Y-axis cross section panel is visible xsection_pos: The X-axis cross section panel position ("top" or "bottom") ysection_pos: The Y-axis cross section panel position ("left" or "right") """ options = PlotOptions( title=title, xlabel=xlabel, ylabel=ylabel, zlabel=zlabel, xunit=xunit, yunit=yunit, zunit=zunit, yreverse=yreverse, aspect_ratio=aspect_ratio, lock_aspect_ratio=lock_aspect_ratio, curve_antialiasing=curve_antialiasing, gridparam=gridparam, section=section, type=type, axes_synchronised=axes_synchronised, force_colorbar_enabled=force_colorbar_enabled, no_image_analysis_widgets=no_image_analysis_widgets, show_contrast=show_contrast, show_itemlist=show_itemlist, show_xsection=show_xsection, show_ysection=show_ysection, xsection_pos=xsection_pos, ysection_pos=ysection_pos, ) return PlotDialog( parent, toolbar=toolbar, options=options, panels=panels, auto_tools=auto_tools, title=wintitle, icon=icon, edit=edit, size=size, ) def window( self, parent: QWidget | None = None, toolbar: bool = False, panels: tuple[PanelWidget] | None = None, auto_tools: bool = True, wintitle: str = "PlotPy", icon: str = "plotpy.svg", size: tuple[int, int] | None = None, title: str | None = None, xlabel: str | tuple[str, str] | None = None, ylabel: str | tuple[str, str] | None = None, zlabel: str | None = None, xunit: str | tuple[str, str] | None = None, yunit: str | tuple[str, str] | None = None, zunit: str | None = None, yreverse: bool | None = None, aspect_ratio: float = 1.0, lock_aspect_ratio: bool | None = None, curve_antialiasing: bool | None = None, gridparam: GridParam | None = None, section: str = "plot", type: str | PlotType = "auto", axes_synchronised: bool = False, force_colorbar_enabled: bool = False, no_image_analysis_widgets: bool = False, show_contrast: bool = False, show_itemlist: bool = False, show_xsection: bool = False, show_ysection: bool = False, xsection_pos: str = "top", ysection_pos: str = "right", ) -> PlotWindow: """Make a plot window (:py:class:`.PlotWindow` object) Args: parent: Parent widget toolbar: Show/hide toolbar panels: Additionnal panels auto_tools: If True, the plot tools are automatically registered. If False, the user must register the tools manually. wintitle: The window title icon: The window icon size: The window size title: The plot title xlabel: (bottom axis title, top axis title) or bottom axis title only ylabel: (left axis title, right axis title) or left axis title only zlabel: The Z-axis label xunit: (bottom axis unit, top axis unit) or bottom axis unit only yunit: (left axis unit, right axis unit) or left axis unit only zunit: The Z-axis unit yreverse: If True, the Y-axis is reversed aspect_ratio: The plot aspect ratio lock_aspect_ratio: If True, the aspect ratio is locked curve_antialiasing: If True, the curve antialiasing is enabled gridparam: The grid parameters section: The plot configuration section name ("plot", by default) type: The plot type ("auto", "manual", "curve" or "image") axes_synchronised: If True, the axes are synchronised force_colorbar_enabled: If True, the colorbar is always enabled no_image_analysis_widgets: If True, the image analysis widgets are not added show_contrast: If True, the contrast adjustment panel is visible show_itemlist: If True, the itemlist panel is visible show_xsection: If True, the X-axis cross section panel is visible show_ysection: If True, the Y-axis cross section panel is visible xsection_pos: The X-axis cross section panel position ("top" or "bottom") ysection_pos: The Y-axis cross section panel position ("left" or "right") """ options = PlotOptions( title=title, xlabel=xlabel, ylabel=ylabel, zlabel=zlabel, xunit=xunit, yunit=yunit, zunit=zunit, yreverse=yreverse, aspect_ratio=aspect_ratio, lock_aspect_ratio=lock_aspect_ratio, curve_antialiasing=curve_antialiasing, gridparam=gridparam, section=section, type=type, axes_synchronised=axes_synchronised, force_colorbar_enabled=force_colorbar_enabled, no_image_analysis_widgets=no_image_analysis_widgets, show_contrast=show_contrast, show_itemlist=show_itemlist, show_xsection=show_xsection, show_ysection=show_ysection, xsection_pos=xsection_pos, ysection_pos=ysection_pos, ) return PlotWindow( parent, toolbar=toolbar, options=options, panels=panels, auto_tools=auto_tools, title=wintitle, icon=icon, size=size, ) def gridparam( self, background: str | None = None, major_enabled: tuple[bool, bool] | None = None, minor_enabled: tuple[bool, bool] | None = None, major_style: tuple[str, str, int] | None = None, minor_style: tuple[str, str, int] | None = None, ) -> GridParam: """Make :py:class:`.GridParam` instance Args: background: canvas background color major_enabled: major grid enabled (x, y) minor_enabled: minor grid enabled (x, y) major_style: major grid style (linestyle, color, width) minor_style: minor grid style (linestyle, color, width) Returns: :py:class:`.GridParam`: grid parameters """ gridparam = GridParam(title=_("Grid"), icon="lin_lin.png") gridparam.read_config(CONF, "plot", "grid") if background is not None: gridparam.background = background if major_enabled is not None: gridparam.maj_xenabled, gridparam.maj_yenabled = major_enabled if minor_enabled is not None: gridparam.min_xenabled, gridparam.min_yenabled = minor_enabled if major_style is not None: style = LineStyleParam() linestyle, color, style.width = major_style style.set_style_from_matlab(linestyle) style.color = COLORS.get(color, color) # MATLAB-style if minor_style is not None: style = LineStyleParam() linestyle, color, style.width = minor_style style.set_style_from_matlab(linestyle) style.color = COLORS.get(color, color) # MATLAB-style return gridparam def grid( self, background: str | None = None, major_enabled: tuple[bool, bool] | None = None, minor_enabled: tuple[bool, bool] | None = None, major_style: tuple[str, str, int] | None = None, minor_style: tuple[str, str, int] | None = None, ) -> GridItem: """Make a grid `plot item` (:py:class:`.GridItem` object) Args: background: canvas background color major_enabled: major grid enabled (x, y) minor_enabled: minor grid enabled (x, y) major_style: major grid style (linestyle, color, width) minor_style: minor grid style (linestyle, color, width) Returns: :py:class:`.GridItem`: grid item """ gridparam = self.gridparam( background, major_enabled, minor_enabled, major_style, minor_style ) return GridItem(gridparam) PlotPyStack-PlotPy-2af0906/plotpy/builder/shape.py000066400000000000000000000131411525747167300221550ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Shape Item builder ------------------ This module provides a set of factory functions to simplify the creation of shape items. """ # Note: when adding method to builder classes, please do not forget to update the # documentation (see builder.rst file). Because of class inheritance, the methods # are not automatically documented (otherwise, they would be sorted alphabetically, # due to a limitation of sphinx auto-doc). from __future__ import annotations import numpy as np from plotpy.items import ( CircleSVGShape, EllipseShape, PolygonShape, RectangleShape, RectangleSVGShape, SegmentShape, SquareSVGShape, ) class ShapeBuilder: """Class regrouping a set of factory functions to simplify the creation of shape items.""" def __shape(self, shapeclass, x0, y0, x1, y1, title=None): shape = shapeclass(x0, y0, x1, y1) shape.set_style("plot", "shape/drag") if title is not None: shape.setTitle(title) return shape def rectangle( self, x0: float, y0: float, x1: float, y1: float, title: str | None = None ) -> RectangleShape: """Make a rectangle shape `plot item` Args: x0: rectangle x0 coordinate y0: rectangle y0 coordinate x1: rectangle x1 coordinate y1: rectangle y1 coordinate title: label name. Default is None Returns: :py:class:`.RectangleShape` object """ return self.__shape(RectangleShape, x0, y0, x1, y1, title) def ellipse( self, x0: float, y0: float, x1: float, y1: float, x2: float | None = None, y2: float | None = None, x3: float | None = None, y3: float | None = None, title: str | None = None, ) -> EllipseShape: """Make an ellipse shape `plot item` Args: x0: ellipse x0 coordinate y0: ellipse y0 coordinate x1: ellipse x1 coordinate y1: ellipse y1 coordinate x2: ellipse x2 coordinate. Default is None y2: ellipse y2 coordinate. Default is None x3: ellipse x3 coordinate. Default is None y3: ellipse y3 coordinate. Default is None title: label name. Default is None Returns: :py:class:`.EllipseShape` object """ item = self.__shape(EllipseShape, x0, y0, x1, y1, title) item.switch_to_ellipse() if x2 is not None and y2 is not None and x3 is not None and y3 is not None: item.set_ydiameter(x2, y2, x3, y3) return item def polygon( self, x: np.ndarray, y: np.ndarray, closed: bool, title: str | None = None ) -> PolygonShape: """Make a polygon shape `plot item` Args: x: polygon x coordinates y: polygon y coordinates closed: closed polygon title: label name. Default is None Returns: :py:class:`.PolygonShape` object """ points = np.array([x, y]).T item = PolygonShape(points, closed=closed) item.set_style("plot", "shape/drag") if title is not None: item.setTitle(title) return item def circle( self, x0: float, y0: float, x1: float, y1: float, title: str | None = None ) -> EllipseShape: """Make a circle shape `plot item` Args: x0: circle x0 coordinate y0: circle y0 coordinate x1: circle x1 coordinate y1: circle y1 coordinate title: label name. Default is None Returns: :py:class:`.EllipseShape` object """ item = self.__shape(EllipseShape, x0, y0, x1, y1, title) item.switch_to_circle() return item def segment( self, x0: float, y0: float, x1: float, y1: float, title: str | None = None ) -> SegmentShape: """Make a segment shape `plot item` Args: x0: segment x0 coordinate y0: segment y0 coordinate x1: segment x1 coordinate y1: segment y1 coordinate title: label name. Default is None Returns: :py:class:`.SegmentShape` object """ return self.__shape(SegmentShape, x0, y0, x1, y1, title) def svg( self, shape: str, fname_or_data: str | bytes, x0: float, y0: float, x1: float, y1: float, title: str | None = None, ) -> (CircleSVGShape, RectangleSVGShape, SquareSVGShape): """Make a SVG shape `plot item` Args: shape: shape type ("circle", "rectangle", "square") fname_or_data: filename or data x0: shape x0 coordinate y0: shape y0 coordinate x1: shape x1 coordinate y1: shape y1 coordinate title: label name. Default is None Returns: SVG shape """ assert shape in ("circle", "rectangle", "square") assert isinstance(fname_or_data, (str, bytes)) if isinstance(fname_or_data, str): with open(fname_or_data, "rb") as file: data = file.read() else: data = fname_or_data shapeklass = { "circle": CircleSVGShape, "rectangle": RectangleSVGShape, "square": SquareSVGShape, }[shape] shape = self.__shape(shapeklass, x0, y0, x1, y1, title) shape.set_data(data) return shape PlotPyStack-PlotPy-2af0906/plotpy/config.py000066400000000000000000001167651525747167300207140ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Configuration ------------- Handle *plotpy* module configuration (options, images and icons) """ from __future__ import annotations import os.path as osp import warnings from typing import Literal from guidata import qthelpers as qth from guidata.configtools import add_image_module_path, get_translation from guidata.userconfig import UserConfig def get_main_colors() -> tuple[str, str]: """Return main foreground and background colors depending on dark mode""" is_dark = qth.is_dark_theme() return "white" if is_dark else "#000000", "#222222" if is_dark else "white" MAIN_FG_COLOR, MAIN_BG_COLOR = get_main_colors() def make_title(basename, count): """Make item title with *basename* and *count* number""" return "{} {}{:d}".format(basename, _("#"), count) APP_PATH = osp.dirname(__file__) add_image_module_path("plotpy", "data/icons") _ = get_translation("plotpy") def get_plotpy_defaults() -> dict[str, int | float | str | bool]: """Return default configuration values""" global MAIN_FG_COLOR, MAIN_BG_COLOR return { "plot": { "selection/distance": 6, "antialiasing": False, "title/font/size": 12, "title/font/bold": False, "selected_curve_symbol/marker": "Rect", "selected_curve_symbol/edgecolor": "#a0a0a4", "selected_curve_symbol/facecolor": MAIN_FG_COLOR, "selected_curve_symbol/alpha": 0.3, "selected_curve_symbol/size": 7, # Default parameters for plot axes "axis/title": "", "axis/unit": "", "axis/color": MAIN_FG_COLOR, "axis/title_font/size": 8, "axis/title_font/family": "default", "axis/title_font/bold": False, "axis/title_font/italic": False, "axis/ticks_font/size": 8, "axis/ticks_font/family": "default", "axis/ticks_font/bold": False, "axis/ticks_font/italic": False, # Default parameters for X/Y image axes "image_axis/title": "", "image_axis/unit": _("pixels"), "image_axis/color": MAIN_FG_COLOR, "image_axis/title_font/size": 8, "image_axis/title_font/family": "default", "image_axis/title_font/bold": False, "image_axis/title_font/italic": False, "image_axis/ticks_font/size": 8, "image_axis/ticks_font/family": "default", "image_axis/ticks_font/bold": False, "image_axis/ticks_font/italic": False, # Default parameters for color scale "color_axis/title": _("Intensity"), "color_axis/unit": _("lsb"), "color_axis/color": MAIN_FG_COLOR, "color_axis/title_font/size": 8, "color_axis/title_font/family": "default", "color_axis/title_font/bold": False, "color_axis/title_font/italic": False, "color_axis/ticks_font/size": 8, "color_axis/ticks_font/family": "default", "color_axis/ticks_font/bold": False, "color_axis/ticks_font/italic": False, "grid/background": MAIN_BG_COLOR, "grid/maj_xenabled": True, "grid/maj_yenabled": True, "grid/maj_line/color": "#808080", "grid/maj_line/width": 1.0, "grid/maj_line/style": "DotLine", "grid/min_xenabled": True, "grid/min_yenabled": True, "grid/min_line/color": "#454545" if qth.is_dark_theme() else "#eaeaea", "grid/min_line/width": 1.0, "grid/min_line/style": "DotLine", "marker/curve/symbol/marker": "Rect", "marker/curve/symbol/edgecolor": "#0000ff", "marker/curve/symbol/facecolor": "#00ffff", "marker/curve/symbol/alpha": 0.8, "marker/curve/symbol/size": 7, "marker/curve/text/font/size": 8, "marker/curve/text/font/family": "default", "marker/curve/text/font/bold": False, "marker/curve/text/font/italic": False, "marker/curve/text/textcolor": "#000000", "marker/curve/text/background_color": "#ffffff", "marker/curve/text/background_alpha": 0.8, "marker/curve/line/style": "SolidLine", "marker/curve/line/color": MAIN_FG_COLOR, "marker/curve/line/width": 0.0, "marker/curve/sel_symbol/marker": "Rect", "marker/curve/sel_symbol/edgecolor": "#0000ff", "marker/curve/sel_symbol/facecolor": "#00ffff", "marker/curve/sel_symbol/alpha": 0.8, "marker/curve/sel_symbol/size": 7, "marker/curve/sel_text/font/size": 8, "marker/curve/sel_text/font/family": "default", "marker/curve/sel_text/font/bold": False, "marker/curve/sel_text/font/italic": False, "marker/curve/sel_text/textcolor": "#000000", "marker/curve/sel_text/background_color": "#ffffff", "marker/curve/sel_text/background_alpha": 0.8, "marker/curve/sel_line/style": "SolidLine", "marker/curve/sel_line/color": MAIN_FG_COLOR, "marker/curve/sel_line/width": 0.0, "marker/curve/markerstyle": "NoLine", "marker/curve/spacing": 7, "marker/cross/symbol/marker": "Cross", "marker/cross/symbol/edgecolor": MAIN_FG_COLOR, "marker/cross/symbol/facecolor": "#ff0000", "marker/cross/symbol/alpha": 1.0, "marker/cross/symbol/size": 8, "marker/cross/text/font/family": "default", "marker/cross/text/font/size": 8, "marker/cross/text/font/bold": False, "marker/cross/text/font/italic": False, "marker/cross/text/textcolor": "#000000", "marker/cross/text/background_color": "#ffffff", "marker/cross/text/background_alpha": 0.8, "marker/cross/line/style": "DashLine", "marker/cross/line/color": "#ffff00", "marker/cross/line/width": 1.0, "marker/cross/sel_symbol/marker": "Cross", "marker/cross/sel_symbol/edgecolor": MAIN_FG_COLOR, "marker/cross/sel_symbol/facecolor": "#ff0000", "marker/cross/sel_symbol/alpha": 1.0, "marker/cross/sel_symbol/size": 8, "marker/cross/sel_text/font/family": "default", "marker/cross/sel_text/font/size": 8, "marker/cross/sel_text/font/bold": False, "marker/cross/sel_text/font/italic": False, "marker/cross/sel_text/textcolor": "#000000", "marker/cross/sel_text/background_color": "#ffffff", "marker/cross/sel_text/background_alpha": 0.8, "marker/cross/sel_line/style": "DashLine", "marker/cross/sel_line/color": "#ffff00", "marker/cross/sel_line/width": 1.0, "marker/cross/markerstyle": "Cross", "marker/cross/spacing": 7, "marker/selectpoint/symbol/marker": "Rect", "marker/selectpoint/symbol/edgecolor": "#0000ff", "marker/selectpoint/symbol/facecolor": "#00ffff", "marker/selectpoint/symbol/alpha": 0.8, "marker/selectpoint/symbol/size": 7, "marker/selectpoint/text/font/size": 8, "marker/selectpoint/text/font/family": "default", "marker/selectpoint/text/font/bold": False, "marker/selectpoint/text/font/italic": False, "marker/selectpoint/text/textcolor": "#000000", "marker/selectpoint/text/background_color": "#ffffff", "marker/selectpoint/text/background_alpha": 0.8, "marker/selectpoint/line/style": "SolidLine", "marker/selectpoint/line/color": MAIN_FG_COLOR, "marker/selectpoint/line/width": 0.0, "marker/selectpoint/sel_symbol/marker": "Rect", "marker/selectpoint/sel_symbol/edgecolor": "#0000ff", "marker/selectpoint/sel_symbol/facecolor": "#00ffff", "marker/selectpoint/sel_symbol/alpha": 0.8, "marker/selectpoint/sel_symbol/size": 7, "marker/selectpoint/sel_text/font/size": 8, "marker/selectpoint/sel_text/font/family": "default", "marker/selectpoint/sel_text/font/bold": False, "marker/selectpoint/sel_text/font/italic": False, "marker/selectpoint/sel_text/textcolor": "#000000", "marker/selectpoint/sel_text/background_color": "#ffffff", "marker/selectpoint/sel_text/background_alpha": 0.8, "marker/selectpoint/sel_line/style": "SolidLine", "marker/selectpoint/sel_line/color": MAIN_FG_COLOR, "marker/selectpoint/sel_line/width": 0.0, "marker/selectpoint/markerstyle": "NoLine", "marker/selectpoint/spacing": 7, "marker/cursor/line/style": "SolidLine", "marker/cursor/line/color": "#ff9393", "marker/cursor/line/width": 1.0, "marker/cursor/symbol/marker": "Ellipse", "marker/cursor/symbol/size": 7, "marker/cursor/symbol/edgecolor": MAIN_BG_COLOR, "marker/cursor/symbol/facecolor": "#ff9393", "marker/cursor/symbol/alpha": 1.0, "marker/cursor/text/font/size": 8, "marker/cursor/text/font/family": "default", "marker/cursor/text/font/bold": False, "marker/cursor/text/font/italic": False, "marker/cursor/text/textcolor": "#ff9393", "marker/cursor/text/background_color": "#ffffff", "marker/cursor/text/background_alpha": 0.8, "marker/cursor/sel_line/style": "SolidLine", "marker/cursor/sel_line/color": "#ff0000", "marker/cursor/sel_line/width": 2.0, "marker/cursor/sel_symbol/marker": "Ellipse", "marker/cursor/sel_symbol/size": 9, "marker/cursor/sel_symbol/edgecolor": MAIN_BG_COLOR, "marker/cursor/sel_symbol/facecolor": "#ff0000", "marker/cursor/sel_symbol/alpha": 0.9, "marker/cursor/sel_text/font/size": 8, "marker/cursor/sel_text/font/family": "default", "marker/cursor/sel_text/font/bold": True, "marker/cursor/sel_text/font/italic": False, "marker/cursor/sel_text/textcolor": "#ff0000", "marker/cursor/sel_text/background_color": "#ffffff", "marker/cursor/sel_text/background_alpha": 0.8, "marker/cursor/markerstyle": "NoLine", "marker/cursor/spacing": 7, "shape/drag/line/style": "SolidLine", "shape/drag/line/color": "#ffff00", "shape/drag/line/width": 1.0, "shape/drag/fill/style": "SolidPattern", "shape/drag/fill/color": MAIN_BG_COLOR, "shape/drag/fill/alpha": 0.1, "shape/drag/symbol/marker": "Rect", "shape/drag/symbol/size": 3, "shape/drag/symbol/edgecolor": "#ffff00", "shape/drag/symbol/facecolor": "#ffff00", "shape/drag/symbol/alpha": 1.0, "shape/drag/sel_line/style": "SolidLine", "shape/drag/sel_line/color": "#00ff00", "shape/drag/sel_line/width": 1.0, "shape/drag/sel_fill/style": "SolidPattern", "shape/drag/sel_fill/color": MAIN_BG_COLOR, "shape/drag/sel_fill/alpha": 0.1, "shape/drag/sel_symbol/marker": "Rect", "shape/drag/sel_symbol/size": 9, "shape/drag/sel_symbol/edgecolor": "#00aa00", "shape/drag/sel_symbol/facecolor": "#00ff00", "shape/drag/sel_symbol/alpha": 0.7, "shape/imageborder/line/style": "NoPen", "shape/imageborder/line/color": "#a0a0a4", "shape/imageborder/line/width": 0.0, "shape/imageborder/fill/style": "NoBrush", "shape/imageborder/fill/color": "#000000", "shape/imageborder/fill/alpha": 0.0, "shape/imageborder/fill/angle": 0.0, "shape/imageborder/fill/sx": 1.0, "shape/imageborder/fill/sy": 1.0, "shape/imageborder/symbol/marker": "NoSymbol", "shape/imageborder/symbol/size": 7, "shape/imageborder/symbol/edgecolor": "#a0a0a4", "shape/imageborder/symbol/facecolor": MAIN_FG_COLOR, "shape/imageborder/symbol/alpha": 0.3, "shape/imageborder/sel_line/style": "SolidLine", "shape/imageborder/sel_line/color": "#a0a0a4", "shape/imageborder/sel_line/width": 3.0, "shape/imageborder/sel_symbol/marker": "Rect", "shape/imageborder/sel_symbol/size": 7, "shape/imageborder/sel_symbol/edgecolor": "#a0a0a4", "shape/imageborder/sel_symbol/facecolor": MAIN_FG_COLOR, "shape/imageborder/sel_symbol/alpha": 0.8, "shape/imageborder/sel_fill/style": "NoBrush", "shape/imageborder/sel_fill/color": "#a0a0a4", "shape/imageborder/sel_fill/alpha": 0.5, "shape/imageborder/sel_fill/angle": 0.0, "shape/imageborder/sel_fill/sx": 1.0, "shape/imageborder/sel_fill/sy": 1.0, "shape/imagefilter/line/style": "SolidLine", "shape/imagefilter/line/color": "#ffff00", "shape/imagefilter/line/width": 1.0, "shape/imagefilter/sel_line/style": "SolidLine", "shape/imagefilter/sel_line/color": "#00ffff", "shape/imagefilter/sel_line/width": 2.0, "shape/imagefilter/fill/style": "NoBrush", "shape/imagefilter/fill/color": MAIN_BG_COLOR, "shape/imagefilter/fill/alpha": 0.0, "shape/imagefilter/sel_fill/style": "SolidPattern", "shape/imagefilter/sel_fill/color": MAIN_BG_COLOR, "shape/imagefilter/sel_fill/alpha": 0.2, "shape/imagefilter/symbol/marker": "Rect", "shape/imagefilter/symbol/size": 3, "shape/imagefilter/symbol/edgecolor": "#ffff00", "shape/imagefilter/symbol/facecolor": "#ffff00", "shape/imagefilter/symbol/alpha": 1.0, "shape/imagefilter/sel_symbol/marker": "Ellipse", "shape/imagefilter/sel_symbol/size": 7, "shape/imagefilter/sel_symbol/edgecolor": "#0000ff", "shape/imagefilter/sel_symbol/facecolor": "#00ffff", "shape/imagefilter/sel_symbol/alpha": 0.8, # Contour ------------------------------------------------------------------ "shape/contour/line/style": "SolidLine", "shape/contour/line/color": "#000000", "shape/contour/line/width": 1.0, "shape/contour/fill/style": "NoBrush", "shape/contour/symbol/marker": "NoSymbol", "shape/contour/sel_line/style": "SolidLine", "shape/contour/sel_line/color": "#00ff00", "shape/contour/sel_line/width": 1.0, "shape/contour/sel_fill/style": "SolidPattern", "shape/contour/sel_fill/color": MAIN_BG_COLOR, "shape/contour/sel_fill/alpha": 0.1, "shape/contour/sel_symbol/marker": "NoSymbol", # RectZoom ----------------------------------------------------------------- "shape/rectzoom/line/style": "SolidLine", "shape/rectzoom/line/color": "#bbbbbb", "shape/rectzoom/line/width": 2.0, # not used -- start "shape/rectzoom/sel_line/style": "SolidLine", "shape/rectzoom/sel_line/color": "#00ff00", "shape/rectzoom/sel_line/width": 2.0, # not used -- end "shape/rectzoom/fill/color": "#ffff00", "shape/rectzoom/fill/style": "SolidPattern", "shape/rectzoom/fill/alpha": 0.1, # not used -- start "shape/rectzoom/symbol/marker": "NoSymbol", "shape/rectzoom/symbol/size": 0, "shape/rectzoom/symbol/edgecolor": MAIN_FG_COLOR, "shape/rectzoom/symbol/facecolor": "#ffff00", "shape/rectzoom/symbol/alpha": 1.0, "shape/rectzoom/sel_symbol/marker": "Rect", "shape/rectzoom/sel_symbol/size": 5, "shape/rectzoom/sel_symbol/edgecolor": MAIN_FG_COLOR, "shape/rectzoom/sel_symbol/facecolor": "#ffff00", "shape/rectzoom/sel_symbol/alpha": 1.0, # not used -- end "shape/axes/border/line/style": "SolidLine", "shape/axes/border/line/color": "#ff00ff", "shape/axes/border/line/width": 1.0, "shape/axes/border/sel_line/style": "SolidLine", "shape/axes/border/sel_line/color": "#ff00ff", "shape/axes/border/sel_line/width": 2.0, "shape/axes/border/fill/style": "NoBrush", "shape/axes/border/fill/color": "#ff00ff", "shape/axes/border/fill/alpha": 0.0, "shape/axes/border/sel_fill/style": "SolidPattern", "shape/axes/border/sel_fill/color": "#ff00ff", "shape/axes/border/sel_fill/alpha": 0.3, "shape/axes/border/symbol/marker": "NoSymbol", "shape/axes/border/symbol/size": 0, "shape/axes/border/symbol/edgecolor": MAIN_FG_COLOR, "shape/axes/border/symbol/facecolor": "#ffff00", "shape/axes/border/symbol/alpha": 1.0, "shape/axes/border/sel_symbol/marker": "NoSymbol", "shape/axes/border/sel_symbol/size": 5, "shape/axes/border/sel_symbol/edgecolor": MAIN_FG_COLOR, "shape/axes/border/sel_symbol/facecolor": "#ffff00", "shape/axes/border/sel_symbol/alpha": 1.0, "shape/axes/arrow_size": 8.0, "shape/axes/arrow_angle": 30.0, "shape/axes/xarrow_pen/style": "SolidLine", "shape/axes/xarrow_pen/color": "#ff0000", "shape/axes/xarrow_pen/width": 1.0, "shape/axes/xarrow_brush/color": "#ff0000", "shape/axes/xarrow_brush/alpha": 0.2, "shape/axes/yarrow_pen/style": "SolidLine", "shape/axes/yarrow_pen/color": "#00ff00", "shape/axes/yarrow_pen/width": 1.0, "shape/axes/yarrow_brush/color": "#00ff00", "shape/axes/yarrow_brush/alpha": 0.2, "shape/image_stats/line/style": "DashLine", "shape/image_stats/line/color": "#ff88dc", "shape/image_stats/line/width": 1.0, "shape/image_stats/fill/style": "SolidPattern", "shape/image_stats/fill/color": MAIN_BG_COLOR, "shape/image_stats/fill/alpha": 0.1, "shape/image_stats/symbol/marker": "Rect", "shape/image_stats/symbol/size": 3, "shape/image_stats/symbol/edgecolor": "#ff55dc", "shape/image_stats/symbol/facecolor": "#ff88dc", "shape/image_stats/symbol/alpha": 0.6, "shape/image_stats/sel_line/style": "DashLine", "shape/image_stats/sel_line/color": "#ff00dc", "shape/image_stats/sel_line/width": 1.0, "shape/image_stats/sel_fill/style": "SolidPattern", "shape/image_stats/sel_fill/color": MAIN_BG_COLOR, "shape/image_stats/sel_fill/alpha": 0.1, "shape/image_stats/sel_symbol/marker": "Rect", "shape/image_stats/sel_symbol/size": 5, "shape/image_stats/sel_symbol/edgecolor": "#ff00dc", "shape/image_stats/sel_symbol/facecolor": "#ff88dc", "shape/image_stats/sel_symbol/alpha": 0.7, "shape/cross_section/line/style": "DotLine", "shape/cross_section/line/color": "#ff5555", "shape/cross_section/line/width": 1.0, "shape/cross_section/fill/style": "SolidPattern", "shape/cross_section/fill/color": MAIN_BG_COLOR, "shape/cross_section/fill/alpha": 0.1, "shape/cross_section/symbol/marker": "Cross", "shape/cross_section/symbol/size": 100, "shape/cross_section/symbol/edgecolor": "#00ffff", "shape/cross_section/symbol/facecolor": "#00ffff", "shape/cross_section/symbol/alpha": 0.6, "shape/cross_section/sel_line/style": "DotLine", "shape/cross_section/sel_line/color": "#ff0000", "shape/cross_section/sel_line/width": 1.0, "shape/cross_section/sel_fill/style": "SolidPattern", "shape/cross_section/sel_fill/color": MAIN_BG_COLOR, "shape/cross_section/sel_fill/alpha": 0.1, "shape/cross_section/sel_symbol/marker": "Cross", "shape/cross_section/sel_symbol/size": 10000, "shape/cross_section/sel_symbol/edgecolor": "#00ffff", "shape/cross_section/sel_symbol/facecolor": "#00ffff", "shape/cross_section/sel_symbol/alpha": 0.7, "shape/average_cross_section/line/style": "DotLine", "shape/average_cross_section/line/color": "#ff5555", "shape/average_cross_section/line/width": 1.0, "shape/average_cross_section/fill/style": "SolidPattern", "shape/average_cross_section/fill/color": MAIN_BG_COLOR, "shape/average_cross_section/fill/alpha": 0.1, "shape/average_cross_section/symbol/marker": "Diamond", "shape/average_cross_section/symbol/size": 7, "shape/average_cross_section/symbol/edgecolor": "#ff5555", "shape/average_cross_section/symbol/facecolor": "#ff5555", "shape/average_cross_section/symbol/alpha": 0.6, "shape/average_cross_section/sel_line/style": "DotLine", "shape/average_cross_section/sel_line/color": "#ff0000", "shape/average_cross_section/sel_line/width": 1.0, "shape/average_cross_section/sel_fill/style": "SolidPattern", "shape/average_cross_section/sel_fill/color": MAIN_BG_COLOR, "shape/average_cross_section/sel_fill/alpha": 0.1, "shape/average_cross_section/sel_symbol/marker": "Diamond", "shape/average_cross_section/sel_symbol/size": 9, "shape/average_cross_section/sel_symbol/edgecolor": "#aa0000", "shape/average_cross_section/sel_symbol/facecolor": "#ff0000", "shape/average_cross_section/sel_symbol/alpha": 0.7, "shape/mask/line/style": "DotLine", "shape/mask/line/color": "#5555ff", "shape/mask/line/width": 1.0, "shape/mask/fill/style": "SolidPattern", "shape/mask/fill/color": MAIN_BG_COLOR, "shape/mask/fill/alpha": 0.1, "shape/mask/symbol/marker": "Rect", "shape/mask/symbol/size": 7, "shape/mask/symbol/edgecolor": "#5555ff", "shape/mask/symbol/facecolor": "#5555ff", "shape/mask/symbol/alpha": 0.6, "shape/mask/sel_line/style": "DotLine", "shape/mask/sel_line/color": "#0000ff", "shape/mask/sel_line/width": 1.0, "shape/mask/sel_fill/style": "SolidPattern", "shape/mask/sel_fill/color": MAIN_BG_COLOR, "shape/mask/sel_fill/alpha": 0.1, "shape/mask/sel_symbol/marker": "Rect", "shape/mask/sel_symbol/size": 9, "shape/mask/sel_symbol/edgecolor": "#0000aa", "shape/mask/sel_symbol/facecolor": "#0000ff", "shape/mask/sel_symbol/alpha": 0.7, "shape/point/line/style": "SolidLine", "shape/point/line/color": "#ffff00", "shape/point/line/width": 1.0, "shape/point/sel_line/style": "SolidLine", "shape/point/sel_line/color": "#00ff00", "shape/point/sel_line/width": 1.0, "shape/point/fill/style": "NoBrush", "shape/point/sel_fill/style": "NoBrush", "shape/point/symbol/marker": "XCross", "shape/point/symbol/size": 9, "shape/point/symbol/edgecolor": "#ffff00", "shape/point/symbol/facecolor": "#ffff00", "shape/point/symbol/alpha": 1.0, "shape/point/sel_symbol/marker": "XCross", "shape/point/sel_symbol/size": 12, "shape/point/sel_symbol/edgecolor": "#00aa00", "shape/point/sel_symbol/facecolor": "#00ff00", "shape/point/sel_symbol/alpha": 0.7, "shape/segment/line/style": "SolidLine", "shape/segment/line/color": "#ffff00", "shape/segment/line/width": 1.0, "shape/segment/sel_line/style": "SolidLine", "shape/segment/sel_line/color": "#00ff00", "shape/segment/sel_line/width": 1.0, "shape/segment/fill/style": "NoBrush", "shape/segment/sel_fill/style": "NoBrush", "shape/segment/symbol/marker": "XCross", "shape/segment/symbol/size": 9, "shape/segment/symbol/edgecolor": "#ffff00", "shape/segment/symbol/facecolor": "#ffff00", "shape/segment/symbol/alpha": 1.0, "shape/segment/sel_symbol/marker": "XCross", "shape/segment/sel_symbol/size": 12, "shape/segment/sel_symbol/edgecolor": "#00aa00", "shape/segment/sel_symbol/facecolor": "#00ff00", "shape/segment/sel_symbol/alpha": 0.7, "shape/label/symbol/marker": "NoSymbol", "shape/label/symbol/size": 0, "shape/label/symbol/edgecolor": MAIN_BG_COLOR, "shape/label/symbol/facecolor": MAIN_BG_COLOR, "shape/label/border/style": "SolidLine", "shape/label/border/color": "#cbcbcb", "shape/label/border/width": 0.0, "shape/label/font/size": 8, "shape/label/font/family": "default", "shape/label/font/bold": False, "shape/label/font/italic": False, "shape/label/color": MAIN_BG_COLOR, "shape/label/bgcolor": MAIN_FG_COLOR, "shape/label/bgalpha": 0.25, "shape/label/abspos": False, "shape/label/move_anchor": True, "range/line/style": "SolidLine", "range/line/color": "#93ffdb", "range/line/width": 1.0, "range/sel_line/style": "SolidLine", "range/sel_line/color": "#33ffdb", "range/sel_line/width": 2.0, "range/fill": "#33ffdb", "range/shade": 0.1, "range/symbol/marker": "Ellipse", "range/symbol/size": 7, "range/symbol/edgecolor": "#93ffdb", "range/symbol/facecolor": "#93ffdb", "range/symbol/alpha": 1.0, "range/sel_symbol/marker": "Ellipse", "range/sel_symbol/size": 9, "range/sel_symbol/edgecolor": "#33ffdb", "range/sel_symbol/facecolor": "#33ffdb", "range/sel_symbol/alpha": 0.9, "range/multi/color": "#806060", "label/symbol/marker": "NoSymbol", "label/symbol/size": 0, "label/symbol/edgecolor": MAIN_BG_COLOR, "label/symbol/facecolor": MAIN_BG_COLOR, "label/border/style": "SolidLine", "label/border/color": "#cbcbcb", "label/border/width": 1.0, "label/font/size": 9, "label/font/family": "default", "label/font/bold": False, "label/font/italic": False, "label/color": MAIN_FG_COLOR, "label/bgcolor": MAIN_BG_COLOR, "label/bgalpha": 0.8, "label/anchor": "TL", "label/xc": 0, "label/yc": 0, "label/abspos": False, "label/absg": "TR", "label/xg": 0.0, "label/yg": 0.0, # info_label: used in builder.make.computation for example "info_label/symbol/marker": "NoSymbol", "info_label/symbol/size": 0, "info_label/symbol/edgecolor": MAIN_BG_COLOR, "info_label/symbol/facecolor": MAIN_BG_COLOR, "info_label/border/style": "SolidLine", "info_label/border/color": "#cbcbcb", "info_label/border/width": 1.0, "info_label/font/size": 9, "info_label/font/family": "default", "info_label/font/bold": False, "info_label/font/italic": False, "info_label/color": MAIN_FG_COLOR, "info_label/bgcolor": MAIN_BG_COLOR, "info_label/bgalpha": 0.8, "info_label/anchor": "TL", "info_label/xc": 0, "info_label/yc": 0, "info_label/abspos": True, "info_label/absg": "TR", "info_label/xg": 0.0, "info_label/yg": 0.0, "legend/border/style": "SolidLine", "legend/border/color": "#cbcbcb", "legend/border/width": 1.0, "legend/font/size": 8, "legend/font/family": "default", "legend/font/bold": False, "legend/font/italic": False, "legend/color": MAIN_FG_COLOR, "legend/bgcolor": MAIN_BG_COLOR, "legend/bgalpha": 0.8, "legend/anchor": "TR", "legend/xc": 0, "legend/yc": 0, "legend/abspos": True, "legend/absg": "TR", "legend/xg": 0.0, "legend/yg": 0.0, }, "histogram": { "antialiasing": False, "title/font/size": 11, "title/font/bold": False, "label/font/size": 9, "label/font/bold": False, "curve/line/style": "NoPen", "curve/line/color": "#00ff00", "curve/line/width": 1.0, "curve/symbol/marker": "NoSymbol", "curve/symbol/size": 0, "curve/symbol/edgecolor": MAIN_BG_COLOR, "curve/symbol/facecolor": MAIN_FG_COLOR, "curve/symbol/alpha": 1.0, "curve/shade": 0.85, "curve/curvestyle": "Steps", "curve/label": "", "range/line/style": "SolidLine", "range/line/color": "#ff9393", "range/line/width": 1.0, "range/sel_line/style": "SolidLine", "range/sel_line/color": "#ff3333", "range/sel_line/width": 2.0, "range/fill": "#ff3333", "range/shade": 0.1, "range/symbol/marker": "Ellipse", "range/symbol/size": 7, "range/symbol/edgecolor": MAIN_BG_COLOR, "range/symbol/facecolor": "#ff9393", "range/symbol/alpha": 1.0, "range/sel_symbol/marker": "Ellipse", "range/sel_symbol/size": 9, "range/sel_symbol/edgecolor": MAIN_BG_COLOR, "range/sel_symbol/facecolor": "#ff3333", "range/sel_symbol/alpha": 0.9, "range/multi/color": "#806060", # Default parameters for plot axes "axis/title": "", "axis/color": MAIN_FG_COLOR, "axis/title_font/size": 7, "axis/title_font/family": "default", "axis/title_font/bold": False, "axis/title_font/italic": False, "axis/ticks_font/size": 7, "axis/ticks_font/family": "default", "axis/ticks_font/bold": False, "axis/ticks_font/italic": False, "grid/background": MAIN_BG_COLOR, "grid/maj_xenabled": True, "grid/maj_yenabled": True, "grid/maj_line/color": "#808080", "grid/maj_line/width": 1.0, "grid/maj_line/style": "DotLine", "grid/min_xenabled": True, "grid/min_yenabled": False, "grid/min_line/color": "#eaeaea", "grid/min_line/width": 1.0, "grid/min_line/style": "DotLine", "marker/curve/symbol/marker": "Ellipse", "marker/curve/symbol/edgecolor": MAIN_FG_COLOR, "marker/curve/symbol/facecolor": "#0000ff", "marker/curve/symbol/alpha": 0.8, "marker/curve/symbol/size": 8, "marker/curve/text/font/size": 8, "marker/curve/text/font/family": "default", "marker/curve/text/font/bold": False, "marker/curve/text/font/italic": False, "marker/curve/text/textcolor": "#000080", "marker/curve/text/background_color": "#0000ff", "marker/curve/text/background_alpha": 0.2, "marker/curve/pen/style": "SolidLine", "marker/curve/pen/color": MAIN_FG_COLOR, "marker/curve/pen/width": 0.0, "marker/curve/markerstyle": "NoLine", "marker/cross/symbol/marker": "Cross", "marker/cross/symbol/edgecolor": MAIN_FG_COLOR, "marker/cross/symbol/facecolor": "#ff0000", "marker/cross/symbol/alpha": 1.0, "marker/cross/symbol/size": 8, "marker/cross/text/font/family": "default", "marker/cross/text/font/size": 8, "marker/cross/text/font/bold": False, "marker/cross/text/font/italic": False, "marker/cross/text/textcolor": "#000080", "marker/cross/text/background_color": "#0000ff", "marker/cross/text/background_alpha": 0.2, "marker/cross/pen/style": "SolidLine", "marker/cross/pen/color": MAIN_FG_COLOR, "marker/cross/pen/width": 1.0, "marker/cross/markerstyle": "Cross", }, "cross_section": { "antialiasing": False, "title/font/size": 11, "title/font/bold": False, "label/font/size": 9, "label/font/bold": False, "curve/line/style": "SolidLine", "curve/line/color": "#0000ff", "curve/line/width": 1.0, "curve/symbol/marker": "NoSymbol", "curve/symbol/size": 0, "curve/symbol/edgecolor": MAIN_BG_COLOR, "curve/symbol/facecolor": MAIN_FG_COLOR, "curve/symbol/alpha": 1.0, "curve/shade": 0.0, "curve/label": "", "range/line/style": "SolidLine", "range/line/color": "#ff9393", "range/line/width": 1.0, "range/sel_line/style": "SolidLine", "range/sel_line/color": "#ff0000", "range/sel_line/width": 2.0, "range/fill": "#ff0000", "range/shade": 0.15, "range/symbol/marker": "NoSymbol", "range/symbol/size": 5, "range/symbol/edgecolor": MAIN_FG_COLOR, "range/symbol/facecolor": "#ffff00", "range/symbol/alpha": 1.0, "range/sel_symbol/marker": "Ellipse", "range/sel_symbol/size": 9, "range/sel_symbol/edgecolor": MAIN_BG_COLOR, "range/sel_symbol/facecolor": "#ff0000", "range/sel_symbol/alpha": 0.9, "range/multi/color": "#806060", # Default parameters for plot axes "axis/title": "", "axis/color": MAIN_FG_COLOR, "axis/title_font/size": 7, "axis/title_font/family": "default", "axis/title_font/bold": False, "axis/title_font/italic": False, "axis/ticks_font/size": 7, "axis/ticks_font/family": "default", "axis/ticks_font/bold": False, "axis/ticks_font/italic": False, "grid/background": MAIN_BG_COLOR, "grid/maj_xenabled": True, "grid/maj_yenabled": True, "grid/maj_line/color": "#808080", "grid/maj_line/width": 1.0, "grid/maj_line/style": "DotLine", "grid/min_xenabled": False, "grid/min_yenabled": False, "grid/min_line/color": "#eaeaea", "grid/min_line/width": 1.0, "grid/min_line/style": "DotLine", "marker/curve/symbol/marker": "Ellipse", "marker/curve/symbol/edgecolor": MAIN_FG_COLOR, "marker/curve/symbol/facecolor": "#0000ff", "marker/curve/symbol/alpha": 0.8, "marker/curve/symbol/size": 8, "marker/curve/text/font/size": 8, "marker/curve/text/font/family": "default", "marker/curve/text/font/bold": False, "marker/curve/text/font/italic": False, "marker/curve/text/textcolor": "#000080", "marker/curve/text/background_color": "#0000ff", "marker/curve/text/background_alpha": 0.2, "marker/curve/pen/style": "SolidLine", "marker/curve/pen/color": MAIN_FG_COLOR, "marker/curve/pen/width": 0.0, "marker/curve/markerstyle": "NoLine", "marker/cross/symbol/marker": "Cross", "marker/cross/symbol/edgecolor": MAIN_FG_COLOR, "marker/cross/symbol/facecolor": "#ff0000", "marker/cross/symbol/alpha": 1.0, "marker/cross/symbol/size": 8, "marker/cross/text/font/family": "default", "marker/cross/text/font/size": 8, "marker/cross/text/font/bold": False, "marker/cross/text/font/italic": False, "marker/cross/text/textcolor": "#000080", "marker/cross/text/background_color": "#0000ff", "marker/cross/text/background_alpha": 0.2, "marker/cross/pen/style": "SolidLine", "marker/cross/pen/color": MAIN_FG_COLOR, "marker/cross/pen/width": 1.0, "marker/cross/markerstyle": "Cross", }, # colormaps options "colormaps": { "colormaps/default": "colormaps_default.json", "colormaps/custom": "colormaps_custom.json", }, } DEFAULTS = get_plotpy_defaults() CONF = UserConfig(DEFAULTS) def update_plotpy_defaults() -> None: """Update the defaults with the current configuration""" global DEFAULTS, MAIN_BG_COLOR, MAIN_FG_COLOR MAIN_FG_COLOR, MAIN_BG_COLOR = get_main_colors() DEFAULTS = get_plotpy_defaults() CONF.update_defaults(DEFAULTS) def update_plotpy_color_mode() -> None: """Update the color mode for Plotpy""" update_plotpy_defaults() # Iterate over all `BasePlot` widgets by browsing the QApplication: from qtpy.QtWidgets import QApplication from plotpy.plot import BasePlot app = QApplication.instance() if app is not None: # Iterate over all widgets and children to find BasePlot instances: for widget in app.topLevelWidgets(): for child in widget.findChildren(BasePlot): child.update_color_mode() def set_plotpy_dark_mode(state: bool) -> None: """Set dark mode for Qt application Args: state (bool): True to enable dark mode """ mode = "dark" if state else "light" warnings.warn( f"`set_plotpy_dark_mode` is deprecated and will be removed in a future " f"version. Use `set_plotpy_color_mode('{mode}')` instead.", DeprecationWarning, ) set_plotpy_color_mode(mode) def set_plotpy_color_mode(mode: Literal["light", "dark", "auto"] | None = None): """Set the color mode for Plotpy Args: mode: Color mode ('light', 'dark' or 'auto'). If 'auto', the system color mode is used. If None, the `QT_COLOR_MODE` environment variable is used. """ qth.set_color_mode(mode) update_plotpy_color_mode() PlotPyStack-PlotPy-2af0906/plotpy/constants.py000066400000000000000000000113771525747167300214540ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Constants ========= This module provides constants used in plotpy. """ from __future__ import annotations import enum from plotpy.config import _ # =============================================================================== # Plot axes # =============================================================================== #: ID of the x axis AXIS_IDS = Y_LEFT, Y_RIGHT, X_BOTTOM, X_TOP = range(4) # =============================================================================== # Plot types # =============================================================================== class PlotType(enum.Enum): """ This is the enum used for the plot type. Defines how the plot should deal with the different PlotItems types (curves and images) """ #: Automatic plot type. The first PlotItem attached to the plot sets the type. #: All tools (curve and image related) are registered and accessible depending #: on the last selected PlotItem. AUTO = 1 #: Curve specialized plot. The y axis is not reversed and the aspect ratio is not #: locked by default. Only CURVE typed tools are automatically registered. CURVE = 2 #: Image specialized plot. The y axis is reversed and the aspect ratio is locked #: by default. Only IMAGE typed tools are automatically registered. IMAGE = 3 #: No assumption is made on the type of items to be displayed on the plot. Acts #: like the CURVE value of the enum for y axis and aspect ratio. No tool are #: automatically registered. MANUAL = 4 # =============================================================================== # Plot parameters # =============================================================================== PARAMETERS_TITLE_ICON = { "grid": (_("Grid..."), "grid.png"), "axes": (_("Axes style..."), "axes.png"), "item": (_("Parameters..."), "settings.png"), } # =============================================================================== # Panels # =============================================================================== #: ID of the `item list` panel ID_ITEMLIST = "itemlist" #: ID of the `contrast adjustment` panel ID_CONTRAST = "contrast" #: ID of the `X-axis cross section` panel ID_XCS = "x_cross_section" #: ID of the `Y-axis cross section` panel ID_YCS = "y_cross_section" #: ID of the `oblique averaged cross section` panel ID_OCS = "oblique_cross_section" #: ID of the `line cross section` panel ID_LCS = "line_cross_section" # =============================================================================== # Plot items # =============================================================================== # Shape Z offset used when adding shapes to the plot SHAPE_Z_OFFSET = 1000 # Lookup table alpha functions for image items class LUTAlpha(enum.Enum): """LUT Alpha functions""" #: No alpha function NONE = 0 #: Constant alpha function CONSTANT = 1 #: Linear alpha function LINEAR = 2 #: Sigmoid alpha function SIGMOID = 3 #: Hyperbolic tangent alpha function TANH = 4 #: Transparent lowest value and opaque highest value STEP = 5 @classmethod def get_member_from_name(cls: type["LUTAlpha"], name: str) -> "LUTAlpha|None": """Return the member of the enum from its name""" for member in cls: if member.name.lower() == name.lower(): return member return None @classmethod def get_choices(cls: type["LUTAlpha"]) -> list[tuple[int, str]]: """Return the list of choices""" return [ (LUTAlpha.NONE.value, _("None")), (LUTAlpha.CONSTANT.value, _("Constant")), (LUTAlpha.LINEAR.value, _("Linear")), (LUTAlpha.SIGMOID.value, _("Sigmoid")), (LUTAlpha.TANH.value, _("Hyperbolic tangent")), (LUTAlpha.STEP.value, _("Step")), ] @classmethod def get_help(cls: type["LUTAlpha"]) -> str: """Return tooltip help for all alpha functions""" return _( "Alpha function applied to the Look-Up Table (LUT)
" "to control the transparency of the image:
" "(maximum opacity is given by the Global alpha parameter)

" "None: No alpha function
" "Constant: Constant alpha function
" "Linear: Linear alpha function
" "Sigmoid: Sigmoid alpha function
" "Hyperbolic tangent: Hyperbolic tangent alpha function
" "Step: Lowest value of the LUT is 100% transparent, other " "values are opaque" ) # Lookup table size LUT_SIZE = 1024 LUT_MAX = float(LUT_SIZE - 1) PlotPyStack-PlotPy-2af0906/plotpy/coords.py000066400000000000000000000043641525747167300207270ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Plot coordinates ---------------- Overview ^^^^^^^^ The :mod:`plotpy.coords` module provides functions to convert coordinates between canvas and axes coordinates systems. The following functions are available: * :py:func:`.canvas_to_axes` * :py:func:`.axes_to_canvas` * :py:func:`.pixelround` Reference ^^^^^^^^^ .. autofunction:: canvas_to_axes .. autofunction:: axes_to_canvas .. autofunction:: pixelround """ from __future__ import annotations from typing import TYPE_CHECKING import numpy as np if TYPE_CHECKING: from qtpy.QtCore import QPointF from qwt import QwtPlot, QwtPlotItem def canvas_to_axes(item: QwtPlotItem, pos: QPointF) -> tuple[float, float] | None: """Convert position from canvas coordinates system to axes coordinates Args: item: Plot item pos: Position in canvas coordinates system Returns: Position in axes coordinates system or None if item is None """ if item is None: return None plot: QwtPlot = item.plot() ax, ay = item.xAxis(), item.yAxis() return plot.invTransform(ax, pos.x()), plot.invTransform(ay, pos.y()) def axes_to_canvas(item: QwtPlotItem, x: float, y: float) -> tuple[float, float] | None: """Convert (x,y) from axes coordinates to canvas coordinates system Args: item: Plot item x: X position in axes coordinates system y: Y position in axes coordinates system Returns: Position in canvas coordinates system or None if item is None """ if item is None: return None plot: QwtPlot = item.plot() ax, ay = item.xAxis(), item.yAxis() return plot.transform(ax, x), plot.transform(ay, y) def pixelround(x: float, corner: str | None = None) -> int: """Get pixel index from pixel coordinate Args: x: Pixel coordinate corner: None (not a corner), 'TL' (top-left corner), 'BR' (bottom-right corner) Returns: int: Pixel index """ assert corner is None or corner in ("TL", "BR") if corner is None: return np.floor(x) elif corner == "BR": return np.ceil(x) elif corner == "TL": return np.floor(x) 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The following classes are available: * :class:`.StatefulEventFilter`: stateful event filter * :class:`.KeyEventMatch`: key event match * :class:`.StandardKeyMatch`: standard key event match * :class:`.MouseEventMatch`: mouse event match * :class:`.GestureEventMatch`: gesture event match * :class:`.DragHandler`: drag handler * :class:`.ClickHandler`: click handler * :class:`.PanHandler`: pan handler * :class:`.ZoomHandler`: zoom handler * :class:`.GestureHandler`: gesture handler * :class:`.PinchPanGestureHandler`: pinch and pan gesture handler * :class:`.MenuHandler`: menu handler * :class:`.QtDragHandler`: Qt drag handler * :class:`.AutoZoomHandler`: auto zoom handler * :class:`.MoveHandler`: move handler * :class:`.ObjectHandler`: object handler * :class:`.RectangularSelectionHandler`: rectangular selection handler * :class:`.PointSelectionHandler`: point selection handler * :class:`.ZoomRectHandler`: zoom rectangle handler Reference ^^^^^^^^^ .. autoclass:: StatefulEventFilter :members: .. autoclass:: KeyEventMatch :members: .. autoclass:: StandardKeyMatch :members: .. autoclass:: MouseEventMatch :members: .. autoclass:: GestureEventMatch :members: .. autoclass:: DragHandler :members: .. autoclass:: ClickHandler :members: .. autoclass:: PanHandler :members: .. autoclass:: ZoomHandler :members: .. autoclass:: GestureHandler :members: .. autoclass:: PinchPanGestureHandler :members: .. autoclass:: MenuHandler :members: .. autoclass:: QtDragHandler :members: .. autoclass:: AutoZoomHandler :members: .. autoclass:: MoveHandler :members: .. autoclass:: ObjectHandler :members: .. autoclass:: RectangularSelectionHandler :members: .. autoclass:: PointSelectionHandler :members: .. autoclass:: ZoomRectHandler :members: """ from __future__ import annotations import weakref from typing import TYPE_CHECKING, Any, Callable import numpy as np from qtpy import QtCore as QC from qtpy import QtGui as QG from qtpy import QtWidgets as QW from plotpy.config import CONF from plotpy.constants import SHAPE_Z_OFFSET from plotpy.coords import axes_to_canvas, canvas_to_axes from plotpy.items import AnnotatedPolygon, Marker, PolygonShape if TYPE_CHECKING: from qtpy.QtCore import QPoint from qtpy.QtGui import QMouseEvent from plotpy.plot.base import BasePlot def buttons_to_str(buttons: int) -> str: """Conversion of Qt flags to string Args: buttons: Qt flags (e.g. `Qt.LeftButton`, `Qt.RightButton`, etc.) Returns: Human readable string for the button flags """ string = "" if buttons & QC.Qt.LeftButton: string += "L" if buttons & QC.Qt.MidButton: # Do not use QC.Qt.MouseButton.MidButton (Qt6!) string += "M" if buttons & QC.Qt.RightButton: string += "R" return string def evt_type_to_str(type: int) -> str: """Convert event type to human readable string Args: type: event type Returns: Human readable string for the event type """ if type == QC.QEvent.MouseButtonPress: return "Mpress" elif type == QC.QEvent.MouseButtonRelease: return "Mrelease" elif type == QC.QEvent.MouseMove: return "Mmove" elif type == QC.QEvent.ContextMenu: return "Context" return f"{type:d}" # MARK: Event handlers ----------------------------------------------------------------- class EventMatch: """A callable returning true if it matches an event""" def __call__(self, event: QC.QEvent) -> bool: """Returns True if the event matches the event match Args: event: event to match """ raise NotImplementedError def get_event_types(self) -> frozenset[int]: """Returns a set of event types handled by this EventMatch. This is used to quickly optimize events not handled by any event matchers """ return frozenset() class KeyEventMatch(EventMatch): """ A callable returning True if it matches a key event Args: keys: list of keys or couples (key, modifier) """ def __init__(self, keys: list[int | tuple[int, int]]) -> None: super().__init__() key_list, mod_list = [], [] for item in keys: if isinstance(item, (tuple, list)): k, m = item else: k = item # Avoid bad arguments: modifier instead of key assert k not in ( QC.Qt.ControlModifier, QC.Qt.ShiftModifier, QC.Qt.AltModifier, QC.Qt.NoModifier, ) m = QC.Qt.NoModifier key_list.append(k) mod_list.append(m) self.keys = key_list self.mods = mod_list def get_event_types(self) -> frozenset[int]: """Return the set of event types handled by this event match""" return frozenset((QC.QEvent.KeyPress,)) def __call__(self, event: QG.QKeyEvent) -> bool: """Returns True if the event matches the event match Args: event: event to match """ if event.type() == QC.QEvent.KeyPress: my_key = event.key() my_mod = event.modifiers() if my_key in self.keys: mod = self.mods[self.keys.index(my_key)] if mod == QC.Qt.NoModifier or my_mod & mod: return True return False class StandardKeyMatch(EventMatch): """ A callable returning True if it matches a key event Args: keysequence: QKeySequence.StandardKey integer """ def __init__(self, keysequence: int) -> None: super().__init__() assert isinstance(keysequence, (int, QG.QKeySequence.StandardKey)) self.keyseq = keysequence def get_event_types(self) -> frozenset[int]: """Return the set of event types handled by this event match""" return frozenset((QC.QEvent.KeyPress,)) def __call__(self, event: QG.QKeyEvent) -> bool: """Returns True if the event matches the event match Args: event: event to match """ return event.type() == QC.QEvent.KeyPress and event.matches(self.keyseq) class MouseEventMatch(EventMatch): """Base class for matching mouse events Args: evt_type: event type btn: button to match modifiers: keyboard modifiers to match """ def __init__( self, evt_type: int, btn: int, modifiers: int = QC.Qt.NoModifier ) -> None: super().__init__() assert isinstance(modifiers, (int, QC.Qt.KeyboardModifier)) self.evt_type = evt_type self.button = btn self.modifiers = modifiers def get_event_types(self) -> frozenset[int]: """Return the set of event types handled by this event match""" return frozenset((self.evt_type,)) def __call__(self, event: QMouseEvent) -> bool: """Returns True if the event matches the event match Args: event: event to match """ if event.type() == self.evt_type: if event.button() == self.button: if self.modifiers != QC.Qt.NoModifier: if (event.modifiers() & self.modifiers) == self.modifiers: return True elif event.modifiers() == QC.Qt.NoModifier: return True return False def __repr__(self) -> str: """Return textual representation""" return "".format( evt_type_to_str(self.evt_type), self.modifiers, buttons_to_str(self.button) ) class MouseMoveMatch(MouseEventMatch): def __call__(self, event: QMouseEvent) -> bool: """Returns True if the event matches the event match Args: event: event to match """ if event.type() == self.evt_type: if ( self.button != QC.Qt.NoButton and (event.buttons() & self.button == self.button) ) or event.buttons() == QC.Qt.NoButton: if self.modifiers != QC.Qt.NoModifier: if (event.modifiers() & self.modifiers) == self.modifiers: return True elif event.modifiers() == QC.Qt.NoModifier: return True return False class GestureEventMatch(EventMatch): """Base class for matching gesture events""" def __init__(self, gesture_type: int, gesture_state: int) -> None: super().__init__() self.gesture_type = gesture_type self.gesture_state = gesture_state @staticmethod def __get_type_str(gesture_type: int) -> str: """Return text representation for gesture type""" for attr in ( "TapGesture", "TapAndHoldGesture", "PanGesture", "PinchGesture", "SwipeGesture", "CustomGesture", ): if gesture_type == getattr(QC.Qt, attr): return attr @staticmethod def __get_state_str(gesture_state: int) -> str: """Return text representation for gesture state""" for attr in ( "GestureStarted", "GestureUpdated", "GestureFinished", "GestureCanceled", ): if gesture_state == getattr(QC.Qt, attr): return attr def get_event_types(self) -> frozenset[int]: """Return the set of event types handled by this event match""" return frozenset((QC.QEvent.Gesture,)) def __call__(self, event: QC.QEvent) -> bool: """Returns True if the event matches the event match Args: event: event to match """ if event.type() == QC.QEvent.Gesture: gesture = event.gesture(self.gesture_type) return gesture and gesture.state() == self.gesture_state return False def __repr__(self) -> str: """Return textual representation""" type_str = self.__get_type_str(self.gesture_type) state_str = self.__get_state_str(self.gesture_state) return "" % (type_str, state_str) class WheelEventMatch(EventMatch): """A callable returning True if it matches a wheel event Args: modifiers: keyboard modifiers """ def __init__(self, modifiers: int = QC.Qt.KeyboardModifier.NoModifier) -> None: super().__init__() self.modifiers = modifiers def get_event_types(self) -> frozenset[int]: """Return the set of event types handled by this event match""" return frozenset((QC.QEvent.Type.Wheel,)) def __call__(self, event: QG.QWheelEvent) -> bool: """Returns True if the event matches the event match Args: event: event to match """ return isinstance(event, QG.QWheelEvent) and event.modifiers() == self.modifiers # MARK: Finite state machine ----------------------------------------------------------- class StatefulEventFilter(QC.QObject): """State machine for handling events of a plot's canvas Args: parent: plot on which to install the event filter """ def __init__(self, parent: BasePlot) -> None: super().__init__() # Machine states: (0: cursor, 1: panning, 2: zooming) self.states: dict[int, dict[EventMatch, list[list[callable], int]]] = {0: {}} self.cursors: dict[int, QC.Qt.CursorShape] = {} self.state = 0 self.max_state = 0 self.events: dict[tuple[str, int, int], EventMatch] = {} self.plot: BasePlot = parent self.all_event_types = frozenset() def eventFilter(self, _obj: QC.QObject, event: QC.QEvent) -> bool: """The `eventfilter` callback for Qt""" if not hasattr(self, "all_event_types"): print(repr(self), self) if event.type() not in self.all_event_types: return False state = self.states[self.state] for match, (call_list, next_state) in list(state.items()): if match(event): self.set_state(next_state, event) for call in call_list: call(self, event) # might change state return False def set_state(self, state: int, event: QC.QEvent) -> None: """Change the current state. Can be called by handlers to cancel a state change Args: state: new state event: event that triggered the state change """ assert state in self.states if state == self.state: return self.state = state cursor = self.get_cursor(event) if cursor is not None: self.plot.canvas().setCursor(cursor) def new_state(self) -> int: """Create (reserve) a new state number Returns: New state number """ self.max_state += 1 self.states[self.max_state] = {} return self.max_state def add_event( self, state: int, match: EventMatch, call: callable, next_state: int = None ) -> int: """Add a transition to the state machine. If next_state is provided, it must correspond to an existing state, otherwise a new destination state is created Args: state: current state match: event matcher call: callable to execute when the event matches next_state: next state to go to when the event matches Returns: Next state number """ assert isinstance(state, int) assert isinstance(match, EventMatch) self.all_event_types = self.all_event_types.union(match.get_event_types()) entry = self.states[state].setdefault(match, [[], None]) entry[0].append(call) if entry[1] is None: if next_state is None: next_state = self.new_state() else: pass else: if next_state is not None: assert next_state == entry[1] else: next_state = entry[1] entry[1] = next_state return next_state def nothing(self, filter: StatefulEventFilter, event: QC.QEvent) -> None: """A nothing filter, provided to help removing duplicate handlers Args: filter: event filter that contains the BasePlot instance event: event that triggered the action """ pass # Cursor management ---------------------------------------------------------------- def set_cursor(self, cursor: QC.Qt.CursorShape, *states: int) -> None: """Associate a cursor with one or more states Args: cursor: cursor shape states: state numbers """ assert isinstance(cursor, QC.Qt.CursorShape) for s in states: self.cursors[s] = cursor def get_cursor(self, _event: QC.QEvent) -> QC.Qt.CursorShape | None: """Get the cursor associated with a given state/event Returns: Cursor shape or None if no cursor is associated with the state """ # pass event to potentially choose the cursor based on modifier keys cursor = self.cursors.get(self.state, None) if cursor is None: # no cursor specified : should keep previous one return None return cursor # Mouse management ----------------------------------------------------------------- def mouse_press( self, btn: int, modifiers: int = QC.Qt.NoModifier ) -> MouseEventMatch: """Create a filter for the MousePress event Args: btn: button to match modifiers: keyboard modifiers to match Returns: An instance of MouseEventMatch that matches the MousePress event """ return self.events.setdefault( ("mousepress", btn, modifiers), MouseEventMatch(QC.QEvent.MouseButtonPress, btn, modifiers), ) def mouse_move( self, btn: int, modifiers: int = QC.Qt.NoModifier ) -> MouseEventMatch: """Create a filter for the MouseMove event Args: btn: button to match modifiers: keyboard modifiers to match Returns: An instance of MouseEventMatch that matches the MouseMove event """ return self.events.setdefault( ("mousemove", btn, modifiers), MouseMoveMatch(QC.QEvent.MouseMove, btn, modifiers), ) def mouse_release( self, btn: int, modifiers: int = QC.Qt.NoModifier ) -> MouseEventMatch: """Create a filter for the MouseRelease event Args: btn: The button to match modifiers: The keyboard modifiers to match Returns: An instance of MouseEventMatch that matches the MouseRelease event """ return self.events.setdefault( ("mouserelease", btn, modifiers), MouseEventMatch(QC.QEvent.MouseButtonRelease, btn, modifiers), ) # Gesture management --------------------------------------------------------------- def gesture(self, kind: int, state: int) -> GestureEventMatch: """Create a filter for the gesture event Args: kind: The type of gesture state: The state of the gesture Returns: An instance of GestureEventMatch that matches the gesture event """ return self.events.setdefault( ("gesture", kind, state), GestureEventMatch(kind, state) ) # Wheel management ----------------------------------------------------------------- def wheel( self, modifiers: int = QC.Qt.KeyboardModifier.NoModifier ) -> WheelEventMatch: """Create a filter for wheel events Args: modifiers: The keyboard modifiers to use with the wheel event Returns: An instance of WheelEventMatch that matches the wheel event""" return self.events.setdefault(("wheel", modifiers), WheelEventMatch(modifiers)) # MARK: Event handlers ----------------------------------------------------------------- class DragHandler(QC.QObject): """Base class for click-drag-release event handlers. Args: filter: The StatefulEventFilter instance. btn: The mouse button to match. mods: The keyboard modifiers to match. (default: QC.Qt.NoModifier) start_state: The starting state. (default: 0) """ cursor = None def __init__( self, filter: StatefulEventFilter, btn: int, mods: int = QC.Qt.NoModifier, start_state: int = 0, ) -> None: super().__init__() self.state0 = filter.add_event( start_state, filter.mouse_press(btn, mods), self.start_tracking ) self.state1 = filter.add_event( self.state0, filter.mouse_move(btn, mods), self.start_moving ) filter.add_event( self.state1, filter.mouse_move(btn, mods), self.move, self.state1 ) filter.add_event( self.state0, filter.mouse_release(btn, mods), self.stop_notmoving, start_state, ) filter.add_event( self.state1, filter.mouse_release(btn, mods), self.stop_moving, start_state ) if self.cursor is not None: filter.set_cursor(self.cursor, self.state0, self.state1) self.start = None # first mouse position self.last = None # mouse position seen during last event self.parent_tracking = None def get_move_state( self, filter: StatefulEventFilter, pos: QC.QPointF ) -> tuple[float, float]: """Get the movement state based on the current filter and position Args: filter: The StatefulEventFilter instance pos: The current position Returns: A tuple containing the movement state in the x and y directions """ rct = filter.plot.contentsRect() dx = (pos.x(), self.last.x(), self.start.x(), rct.width()) dy = (pos.y(), self.last.y(), self.start.y(), rct.height()) self.last = QC.QPointF(pos) return dx, dy def start_tracking(self, _filter: StatefulEventFilter, event: QMouseEvent) -> None: """Start tracking the mouse movement Args: _filter: The StatefulEventFilter instance event: The mouse event """ self.start = self.last = QC.QPointF(event.pos()) def start_moving(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Start moving the mouse Args: filter: The StatefulEventFilter instance event: The mouse event """ return self.move(filter, event) def stop_tracking(self, _filter: StatefulEventFilter, _event: QMouseEvent) -> None: """Stop tracking the mouse movement Args: _filter: The StatefulEventFilter instance _event: The mouse event """ pass # filter.plot.canvas().setMouseTracking(self.parent_tracking) def stop_notmoving(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Stop tracking the mouse movement when the mouse is not moving. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ self.stop_tracking(filter, event) def stop_moving(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Stop moving the mouse Args: filter: The StatefulEventFilter instance event: The mouse event """ self.stop_tracking(filter, event) def move(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Move the mouse Args: filter: The StatefulEventFilter instance event: The mouse event """ raise NotImplementedError() class ClickHandler(QC.QObject): """Base class for click-release event handlers. Args: filter: The StatefulEventFilter instance. btn: The mouse button to match. mods: The keyboard modifiers to match. (default: QC.Qt.NoModifier) start_state: The starting state. (default: 0) Signals: SIG_CLICK_EVENT: Signal emitted by ClickHandler on mouse click """ #: Signal emitted by ClickHandler on mouse click SIG_CLICK_EVENT = QC.Signal(object, object) def __init__( self, filter: StatefulEventFilter, btn: int, mods: int = QC.Qt.NoModifier, start_state: int = 0, ) -> None: super().__init__() self.state0 = filter.add_event( start_state, filter.mouse_press(btn, mods), filter.nothing ) filter.add_event( self.state0, filter.mouse_release(btn, mods), self.click, start_state ) def click(self, filter: StatefulEventFilter, event: QC.QEvent) -> None: """Handle the click event. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ self.SIG_CLICK_EVENT.emit(filter, event) class PanHandler(DragHandler): cursor = QC.Qt.ClosedHandCursor def move(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Move the mouse. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ x_state, y_state = self.get_move_state(filter, QC.QPointF(event.pos())) filter.plot.do_pan_view(x_state, y_state) class ZoomHandler(DragHandler): cursor = QC.Qt.SizeAllCursor def move(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Move the mouse. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ x_state, y_state = self.get_move_state(filter, QC.QPointF(event.pos())) filter.plot.do_zoom_view(x_state, y_state) class GestureHandler(QC.QObject): """Base class used to handle gestures. Args: filter: event filter into which to add the handler instance. start_state: start state to use in the event filter state machine. Defaults to 0. """ kind: QC.Qt.GestureType | None = None def __init__(self, filter: StatefulEventFilter, start_state: int = 0) -> None: super().__init__() filter.plot.canvas().grabGesture(self.kind) self.state0 = filter.add_event( start_state, filter.gesture(self.kind, QC.Qt.GestureState.GestureStarted), self.start_tracking, ) self.state1 = filter.add_event( self.state0, filter.gesture(self.kind, QC.Qt.GestureState.GestureUpdated), self.start_moving, ) filter.add_event( self.state1, filter.gesture(self.kind, QC.Qt.GestureState.GestureUpdated), self.move, self.state1, ) filter.add_event( self.state0, filter.gesture(self.kind, QC.Qt.GestureState.GestureFinished), self.stop_tracking, start_state, ) filter.add_event( self.state1, filter.gesture(self.kind, QC.Qt.GestureState.GestureFinished), self.stop_tracking, start_state, ) filter.add_event( self.state0, filter.gesture(self.kind, QC.Qt.GestureState.GestureCanceled), self.stop_tracking, start_state, ) filter.add_event( self.state1, filter.gesture(self.kind, QC.Qt.GestureState.GestureCanceled), self.stop_tracking, start_state, ) self.start = QC.QPoint() # first gesture position self.last = QC.QPoint() # gesture position seen during last event self.parent_tracking = None def get_glob_position(self, event: QW.QGestureEvent) -> QC.QPointF: """Returns the hotspot global position of the gesture event. Args: event: event from which to get the position Returns: event hotspot poisition in global coordinates. """ return self.get_gesture(event).hotSpot() def get_gesture(self, event: QW.QGestureEvent) -> QW.QGesture: """Returns the gesture from the event. Args: event: event from which to get the gesture. Returns: gesture from the event. """ return event.gesture(self.kind) def start_tracking( self, filter: StatefulEventFilter, event: QW.QGestureEvent ) -> None: """Handles the start of the gesture tracking. Args: filter: event filter that contains the BasePlot instance event: event that triggered the start of the tracking, used to get a position. """ origin = self.get_glob_position(event) self.start = self.last = filter.plot.canvas().mapFromGlobal(origin.toPoint()) def start_moving( self, filter: StatefulEventFilter, event: QW.QGestureEvent ) -> None: """Handles the start of the gesture moving. Args: filter: event filter that contains the BasePlot instance event: event that triggered the start of the moving """ return self.move(filter, event) def stop_tracking( self, _filter: StatefulEventFilter, _event: QW.QGestureEvent ) -> None: """Handles the stop of the gesture tracking. Args: _filter: event filter that contains the BasePlot instance _event: event that triggered the stop of the tracking """ pass def move(self, filter: StatefulEventFilter, event: QW.QGestureEvent) -> None: """Handles the movement of the gesture. Args: filter: event filter that contains the BasePlot instance event: event that triggered the movement """ raise NotImplementedError class PinchPanGestureHandler(GestureHandler): """Class used to handle pinch and pan gestures. Args: filter: event filter into which to add the handler instance. start_state: start state to use in the event filter state machine. Defaults to 0. """ kind = QC.Qt.GestureType.PinchGesture def __init__( self, filter: StatefulEventFilter, start_state=0, ) -> None: super().__init__(filter, start_state) self.last_center_diff = 0 self.marker: Marker | None = None def get_pan_param( self, plot: BasePlot, pos: QPoint ) -> tuple[tuple[float, float, float, float], tuple[float, float, float, float]]: """Returns the parameters to use for panning the plot. Args: plot: instance of BasePlot to use as a reference. pos: position on the plot canvas of the current hotspot. Returns: Returns two tuples of four floats each, representing the parameters used by BasePlot.do_pan_view. """ rct = plot.contentsRect() dx = (pos.x(), self.last.x(), self.start.x(), rct.width()) dy = (pos.y(), self.last.y(), self.start.y(), rct.height()) self.last = pos return dx, dy def get_zoom_param( self, plot: BasePlot, pos: QPoint, factor: float ) -> tuple[tuple[float, float, float, float], tuple[float, float, float, float]]: """Returns the parameters to use for zooming on the plot. Args: plot: instance of BasePlot to use as a reference. pos: position on the plot canvas of the current hotspot. factor: factor by which to zoom (zero-centered). Returns: Returns two tuples of four floats each, representing the parameters used by BasePlot.do_zoom_view. """ rect = plot.contentsRect() w, h = rect.width(), rect.height() x, y = pos.x(), pos.y() dx = ( x + (w * factor), x, x, w, ) dy = ( y + (h * factor), y, y, h, ) return dx, dy def start_tracking( self, filter: StatefulEventFilter, event: QW.QGestureEvent ) -> None: """Overrides the GestureHandler.start_tracking method to add a marker at the hostpot of the pinch gesture. Args: filter: event filter that contains the BasePlot instance event: Gesture event that triggered the start of the tracking, used to get a position. """ plot = filter.plot if self.marker is None: self.marker = Marker() self.marker.attach(plot) self.marker.setZ(plot.get_max_z() + 1) self.marker.setVisible(True) pos = plot.canvas().mapFromGlobal(self.get_glob_position(event).toPoint()) self.marker.move_local_point_to(0, pos) return super().start_tracking(filter, event) def move(self, filter: StatefulEventFilter, event: QW.QGestureEvent) -> None: """Overrides the GestureHandler.move method to handle the pinch and pan gesture. Args: filter: event filter that contains the BasePlot instance event: event that triggered the move, used to get the hotspot position. """ gesture: QW.QPinchGesture = self.get_gesture(event) plot = filter.plot center_point = self.get_glob_position(event) center_point = filter.plot.canvas().mapFromGlobal(center_point.toPoint()) scale_factor = np.clip(gesture.scaleFactor(), 0.95, 1.05) - 1 pan_dx, pan_dy = self.get_pan_param(plot, center_point) zoom_dx, zoom_dy = self.get_zoom_param(plot, center_point, scale_factor) plot.do_pan_view(pan_dx, pan_dy, replot=True) plot.do_zoom_view(zoom_dx, zoom_dy, lock_aspect_ratio=True) def stop_tracking( self, _filter: StatefulEventFilter, _event: QW.QGestureEvent ) -> None: """Overrides the GestureHandler.stop_tracking method to remove the marker when the gesture tracking stops. Args: _filter: event filter that contains the BasePlot instance _event: event that triggered the stop, not used. """ if self.marker is not None: self.marker.detach() self.marker = None class MenuHandler(ClickHandler): """Class to handle context menu events.""" def click(self, filter: StatefulEventFilter, event: QC.QEvent) -> None: """ Handles the click event. Args: filter: The StatefulEventFilter instance. event: The QC.QEvent instance. """ menu = filter.plot.get_context_menu() if menu: menu.popup(event.globalPos()) class WheelHandler(QC.QObject): """Base class for handling mouse wheel events. Args: filter: event filter into which to add the handler instance. mods: Keyboard modifier that can be used at the same time as the wheel to trigger the event. Defaults to QC.Qt.KeyboardModifier.NoModifier. start_state: start state to use in the event filter state machine. Defaults to 0.""" def __init__( self, filter: StatefulEventFilter, mods=QC.Qt.KeyboardModifier.NoModifier, start_state=0, ) -> None: super().__init__() self.state0 = filter.add_event( start_state, filter.wheel(mods), self.wheel, start_state ) def wheel(self, filter: StatefulEventFilter, event: QG.QWheelEvent) -> None: """Handles the wheel event. Args: filter: event filter that contains the BasePlot instance event: the wheel event that triggered the action.""" raise NotImplementedError() class WheelZoomHandler(WheelHandler): """Class to handle zooming with the mouse wheel.""" def get_zoom_param( self, plot: BasePlot, pos: QPoint, factor: float ) -> tuple[tuple[float, float, float, float], tuple[float, float, float, float]]: """Returns the parameters to use for zooming on the plot. Args: plot: instance of BasePlot to use as a reference. pos: position on the plot canvas of the current hotspot. factor: factor by which to zoom (zero-centered). Returns: Returns two tuples of four floats each, representing the parameters used by BasePlot.do_zoom_view. """ x, y = pos.x(), pos.y() rect = plot.contentsRect() w, h = rect.width(), rect.height() dx = ( x + (w * factor), x, x, w, ) dy = ( y + (h * factor), y, y, h, ) return dx, dy def wheel(self, filter: StatefulEventFilter, event: QG.QWheelEvent) -> None: """Overrides the WheelHandler.wheel method to handle the zooming with the mouse wheel. Args: filter: event filter that contains the BasePlot instance event: the wheel event that triggered the zooming. Use to get zoom factor and position """ plot = filter.plot center_point = event.globalPos() center_point = filter.plot.canvas().mapFromGlobal(center_point) # type: ignore zoom_factor = (event.angleDelta().y() / 120) * 0.08 dx, dy = self.get_zoom_param(plot, center_point, zoom_factor) plot.do_zoom_view(dx, dy, lock_aspect_ratio=True) class QtDragHandler(DragHandler): """Class to handle drag events using Qt signals.""" #: Signal emitted by QtDragHandler when starting tracking SIG_START_TRACKING = QC.Signal(object, object) #: Signal emitted by QtDragHandler when stopping tracking and not moving SIG_STOP_NOT_MOVING = QC.Signal(object, object) #: Signal emitted by QtDragHandler when stopping tracking and moving SIG_STOP_MOVING = QC.Signal(object, object) #: Signal emitted by QtDragHandler when moving SIG_MOVE = QC.Signal(object, object) def start_tracking(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Starts tracking the drag event. Args: filter: The StatefulEventFilter instance. event: The QC.QEvent instance. """ DragHandler.start_tracking(self, filter, event) self.SIG_START_TRACKING.emit(filter, event) def stop_notmoving(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Stops tracking when the drag event is not moving. Args: filter: The StatefulEventFilter instance. event: The QC.QEvent instance. """ self.SIG_STOP_NOT_MOVING.emit(filter, event) def stop_moving(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Stops the movement of the drag event. Args: filter: The StatefulEventFilter instance. event: The QC.QEvent instance """ self.SIG_STOP_MOVING.emit(filter, event) def move(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Handles the move event. Args: filter: The StatefulEventFilter instance. event: The QC.QEvent instance. """ self.SIG_MOVE.emit(filter, event) class AutoZoomHandler(ClickHandler): """Class to handle auto-zoom events.""" def click(self, filter: StatefulEventFilter, _event: QC.QEvent) -> None: """Handles the click event. Args: filter: The StatefulEventFilter instance. _event: The QC.QEvent instance. """ filter.plot.do_autoscale() class MoveHandler: """Class to handle moving events. Args: filter: The StatefulEventFilter instance. btn: The mouse button to match. mods: The keyboard modifiers to match. (default: QC.Qt.NoModifier) start_state: The starting state. (default: 0) """ def __init__( self, filter: StatefulEventFilter, btn: QC.Qt.MouseButton = QC.Qt.NoButton, mods: QC.Qt.KeyboardModifiers = QC.Qt.NoModifier, start_state: int = 0, ): filter.add_event( start_state, filter.mouse_move(btn, mods), self.move, start_state ) def move(self, filter: StatefulEventFilter, event: QW.QGestureEvent) -> None: """ Handles the move event. Args: filter: The StatefulEventFilter instance. event: The QGestureEvent instance. """ filter.plot.do_move_marker(event) class UndoMoveObject: """Class to handle undo/redo events for moving objects. Args: obj: The object to move. pos1: The initial position. pos2: The final position. """ def __init__( self, obj: Any, pos1: tuple[float, float], pos2: tuple[float, float] ) -> None: self.obj = obj self.coords1 = canvas_to_axes(obj, pos1) self.coords2 = canvas_to_axes(obj, pos2) def is_valid(self) -> bool: """Check if the object is valid. Returns: True if the object is valid, False otherwise. """ return self.obj.plot() is not None def compute_positions(self) -> tuple[QC.QPointF, QC.QPointF]: """Compute the positions of the object. Returns: A tuple containing the positions of the object. """ pos1 = QC.QPointF(*axes_to_canvas(self.obj, *self.coords1)) pos2 = QC.QPointF(*axes_to_canvas(self.obj, *self.coords2)) return pos1, pos2 def undo(self) -> None: """Undo the action.""" pos1, pos2 = self.compute_positions() self.obj.plot().unselect_all() self.obj.move_local_shape(pos1, pos2) def redo(self) -> None: """Redo the action.""" pos1, pos2 = self.compute_positions() self.obj.plot().unselect_all() self.obj.move_local_shape(pos2, pos1) class UndoMovePoint(UndoMoveObject): """Class to handle undo/redo events for moving points. Args: obj: The object to move. pos1: The initial position. pos2: The final position. handle: The handle to move. ctrl: The control point. """ def __init__( self, obj: Any, pos1: tuple[float, float], pos2: tuple[float, float], handle: Any, ctrl: Any, ) -> None: super().__init__(obj, pos1, pos2) self.handle = handle self.ctrl = ctrl def undo(self) -> None: """Undo the action.""" pos1, pos2 = self.compute_positions() self.obj.move_local_point_to(self.handle, pos1, self.ctrl) def redo(self) -> None: """Redo the action.""" pos1, pos2 = self.compute_positions() self.obj.move_local_point_to(self.handle, pos2, self.ctrl) class UndoRotatePoint(UndoMoveObject): """Class to handle undo/redo events for rotating points. Args: obj: The object to move. pos1: The initial position. pos2: The final position. """ def __init__( self, obj: Any, pos1: tuple[float, float], pos2: tuple[float, float] ) -> None: super().__init__(obj, pos1, pos2) def undo(self) -> None: """Undo the action.""" pos1, pos2 = self.compute_positions() self.obj.plot().unselect_all() self.obj.rotate_local_shape(pos1, pos2) def redo(self) -> None: """Redo the action.""" pos1, pos2 = self.compute_positions() self.obj.plot().unselect_all() self.obj.rotate_local_shape(pos2, pos1) class ObjectHandler: """Base class for handling objects. Args: filter: The StatefulEventFilter instance. btn: The mouse button to match. mods: The keyboard modifiers to match. (default: QC.Qt.NoModifier) start_state: The starting state. (default: 0) multiselection: Whether to allow multiple selections. (default: False) """ def __init__( self, filter: StatefulEventFilter, btn: int, mods: QC.Qt.KeyboardModifiers = QC.Qt.NoModifier, start_state: int = 0, multiselection: bool = False, ) -> None: self.multiselection = multiselection self.start_state = start_state self.state0 = filter.add_event( start_state, filter.mouse_press(btn, mods), self.start_tracking ) filter.add_event( self.state0, filter.mouse_move(btn, mods), self.move, self.state0 ) filter.add_event( self.state0, filter.mouse_release(btn, mods), self.stop_tracking, start_state, ) filter.add_event( start_state, StandardKeyMatch(QG.QKeySequence.Undo), self.undo, start_state ) filter.add_event( start_state, StandardKeyMatch(QG.QKeySequence.Redo), self.redo, start_state ) self.handle = None # first mouse position self.inside = False self.rotate_inside = False # cas de la rotation avec un point ร  l'intรฉrieur self._active = None # mouse position seen during last event self.last_pos = None self.unselection_pending = None self.undo_stack = [None] self.undo_index = 0 self.first_pos = None self.undo_action = None @property def active(self) -> Any: """Return active object""" if self._active is not None: return self._active() @active.setter def active(self, value: Any) -> None: """Set active object""" if value is None: self._active = None else: self._active = weakref.ref(value) def add_undo_move_action(self, undo_action: Any) -> None: """Add undo action to undo stack""" self.undo_stack = self.undo_stack[: self.undo_index + 1] self.undo_stack.append(undo_action) self.undo_index = len(self.undo_stack) - 1 def undo(self, filter: StatefulEventFilter, event: QC.QEvent) -> None: """Undo the last action. Args: filter: The StatefulEventFilter instance. event: The event triggering the undo action. """ action = self.undo_stack[self.undo_index] if action is not None: if action.is_valid(): action.undo() filter.plot.replot() else: self.undo_stack.remove(action) self.undo_index -= 1 def redo(self, filter: StatefulEventFilter, event: QC.QEvent) -> None: """Redo the last action. Args: filter: The StatefulEventFilter instance. event: The event triggering the redo action. """ if self.undo_index < len(self.undo_stack) - 1: action = self.undo_stack[self.undo_index + 1] if action.is_valid(): action.redo() filter.plot.replot() self.undo_index += 1 else: self.undo_stack.remove(action) def start_tracking(self, filter: StatefulEventFilter, event: QC.QEvent) -> None: """Starts tracking the mouse movement for selection and interaction. Args: filter: The filter object. event: The mouse event. """ plot = filter.plot self.inside = False self.rotate_inside = False self.active = None self.handle = None self.first_pos = pos = event.pos() self.last_pos = QC.QPointF(pos) selected = plot.get_active_item() distance = CONF.get("plot", "selection/distance", 6) ( nearest, nearest_dist, nearest_handle, nearest_inside, ) = plot.get_nearest_object(pos, distance) if nearest is not None: # Is the nearest object the real deal? if not nearest.can_select() or nearest_dist >= distance: # Looking for the nearest object in z containing cursor position ( nearest, nearest_dist, nearest_handle, nearest_inside, ) = plot.get_nearest_object_in_z(pos) # This will unselect active item only if it's not moved afterwards: self.unselection_pending = selected is nearest if selected and not self.multiselection: # An item is selected self.active = selected (dist, self.handle, self.inside, other_object) = self.active.hit_test(pos) if other_object is not None: # e.g. LegendBoxItem: 'other_object' is the selected curve plot.set_active_item(other_object) return if dist >= distance and not self.inside: # The following allows to move together selected items by # clicking inside any of them (instead of active item only) other_selitems = [ _it for _it in plot.get_selected_items() if _it is not self.active and _it.can_move() ] for selitem in other_selitems: dist, handle, inside, _other = selitem.hit_test(pos) if dist < distance or inside: self.inside = inside break else: # Check if user clicked on a different selectable object if nearest is not None and nearest.can_select(): # Direct selection of a different object plot.unselect_all() plot.select_item(nearest) plot.set_active_item(nearest) self.active = nearest self.handle = nearest_handle self.inside = nearest_inside # Update distance for the new object dist = nearest_dist # Clear unselection pending since we've switched to a new object self.unselection_pending = False # Continue to move_or_resize_object for proper validation else: # Clicked on empty space - unselect everything self.__unselect_objects(filter) filter.set_state(self.start_state, event) return else: # No item is selected self.active = nearest self.handle = nearest_handle self.inside = nearest_inside dist = nearest_dist if nearest is not None: plot.set_active_item(nearest) if not nearest.selected: if not self.multiselection: plot.unselect_all() plot.select_item(nearest) # Eventually move or resize selected object: self.__move_or_resize_object(dist, distance, event, filter) plot.replot() def __unselect_objects(self, filter: StatefulEventFilter) -> None: """Unselect selected object*s* Args: filter: The StatefulEventFilter instance. """ plot = filter.plot plot.unselect_all() plot.replot() def __move_or_resize_object( self, dist: float, distance: float, event: QC.QEvent, filter: StatefulEventFilter, ) -> None: """Move or resize the object Args: dist: The distance. distance: The distance. event: The mouse event. filter: The StatefulEventFilter instance. """ if ( self.active is not None and self.active.can_move() is False and self.inside and self.active.can_rotate() ): # Rotate inside self.inside = False self.rotate_inside = True return if ( dist < distance and self.handle is not None and (self.active.can_resize() or self.active.can_rotate()) ): # Resize / move handle self.inside = False return if self.inside and self.active.can_move(): # Move object return # can't move, can't resize filter.set_state(self.start_state, event) if self.unselection_pending: self.__unselect_objects(filter) def move(self, filter: StatefulEventFilter, event: QC.QEvent) -> None: """Move the object. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ if self.active is None: return self.unselection_pending = False if self.rotate_inside: self.active.rotate_local_shape(self.last_pos, event.pos()) self.undo_action = UndoRotatePoint(self.active, event.pos(), self.first_pos) elif self.inside: self.active.move_local_shape(self.last_pos, event.pos()) self.undo_action = UndoMoveObject(self.active, event.pos(), self.first_pos) else: ctrl = event.modifiers() & QC.Qt.ControlModifier == QC.Qt.ControlModifier self.active.move_local_point_to(self.handle, event.pos(), ctrl) self.undo_action = UndoMovePoint( self.active, self.first_pos, event.pos(), self.handle, ctrl ) self.last_pos = QC.QPointF(event.pos()) filter.plot.replot() def stop_tracking(self, filter: StatefulEventFilter, event: QC.QEvent) -> None: """Stop tracking the object. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ self.add_undo_move_action(self.undo_action) if self.unselection_pending: self.__unselect_objects(filter) self.handle = None self.active = None self.inside = False self.rotate_inside = False class RectangularSelectionHandler(DragHandler): """Base class for handling rectangular selections. Args: filter: The StatefulEventFilter instance. btn: The mouse button to match. mods: The keyboard modifiers to match. (default: QC.Qt.NoModifier) start_state: The starting state. (default: 0) """ #: Signal emitted by RectangularSelectionHandler when ending selection SIG_END_RECT = QC.Signal(object, object, object) def __init__( self, filter: StatefulEventFilter, btn: int, mods: QC.Qt.KeyboardModifiers = QC.Qt.NoModifier, start_state: int = 0, ) -> None: super().__init__(filter, btn, mods, start_state) self.avoid_null_shape = False self.setup_shape_cb = None self.shape = None self.shape_h0 = None self.shape_h1 = None def set_shape( self, shape: Any, h0: Any, h1: Any, setup_shape_cb: Callable | None = None, avoid_null_shape: bool = False, ) -> None: """Set the shape. Args: shape: The shape. h0: The first handle. h1: The second handle. setup_shape_cb: The setup shape callback. avoid_null_shape: Whether to avoid null shape. """ self.shape = shape self.shape_h0 = h0 self.shape_h1 = h1 self.setup_shape_cb = setup_shape_cb self.avoid_null_shape = avoid_null_shape def start_tracking(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Start tracking the mouse movement for selection and interaction. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ self.start = self.last = QC.QPointF(event.pos()) def start_moving(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Start moving the object. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ self.shape.attach(filter.plot) self.shape.setZ(filter.plot.get_max_z() + 1) if self.avoid_null_shape: self.start -= QC.QPointF(1, 1) self.shape.move_local_point_to(self.shape_h0, self.start) self.shape.move_local_point_to(self.shape_h1, QC.QPointF(event.pos())) self.start_moving_action(filter, event) if self.setup_shape_cb is not None: self.setup_shape_cb(self.shape) self.shape.show() filter.plot.replot() def start_moving_action( self, filter: StatefulEventFilter, event: QMouseEvent ) -> None: """Start moving the object. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ pass def move(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Move the object. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ self.shape.move_local_point_to(self.shape_h1, QC.QPointF(event.pos())) self.move_action(filter, event) filter.plot.replot() def move_action(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Move the object. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ pass def stop_moving(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Stop moving the object. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ self.shape.detach() self.stop_moving_action(filter, event) filter.plot.replot() def stop_moving_action( self, filter: StatefulEventFilter, event: QMouseEvent ) -> None: """Stop moving the object. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ self.SIG_END_RECT.emit(filter, self.start, QC.QPointF(event.pos())) class PointSelectionHandler(RectangularSelectionHandler): """Class to handle point selections.""" def stop_notmoving(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Stop the point selection when the point is not moving. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ self.stop_moving(filter, event) class ZoomRectHandler(RectangularSelectionHandler): """Class to handle zoom rectangles.""" def stop_moving_action( self, filter: StatefulEventFilter, event: QMouseEvent ) -> None: """Stop moving the object. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ filter.plot.do_zoom_rect_view(self.start, QC.QPointF(event.pos())) class MultilineSelectionHandler(DragHandler): """ A handler for handling multi-line selections. This handler extends the DragHandler to handle multi-line selections. Args: filter: The StatefulEventFilter instance. btn: The mouse button to match. mods: The keyboard modifiers to match. (default: QC.Qt.NoModifier) start_state: The starting state. (default: 0) closed: Whether the polygon should be closed. (default: False) """ SIG_END_POLYLINE = QC.Signal(object, np.ndarray) def __init__( self, filter: StatefulEventFilter, btn: int, mods: QC.Qt.KeyboardModifiers = QC.Qt.NoModifier, start_state: int = 0, closed: bool = False, ) -> None: super().__init__(filter, btn, mods, start_state) self.closed = closed filter.add_event( start_state, KeyEventMatch((QC.Qt.Key_Enter, QC.Qt.Key_Return, QC.Qt.Key_Space)), self.accept_polygonshape, start_state, ) filter.add_event( start_state, KeyEventMatch((QC.Qt.Key_Backspace, QC.Qt.Key_Escape)), self.cancel_point, start_state, ) self.init_pos: QC.QPointF | None = None self.shape: PolygonShape | AnnotatedPolygon | None = None self.current_handle: int | None = None self.setup_shape_cb: Callable | None = None def set_shape( self, shape: PolygonShape | AnnotatedPolygon, setup_shape_cb: Callable | None = None, ) -> None: """Set the shape. Args: shape: The shape. setup_shape_cb: The setup shape callback. """ self.shape = shape self.setup_shape_cb = setup_shape_cb def start_tracking(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Starts tracking the drag event. Args: filter: The StatefulEventFilter instance. event: The QC.QEvent instance. """ if self.init_pos is None: self.init_pos = QC.QPointF(event.pos()) def start_moving(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Start moving the object. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ if self.init_pos is None: return if self.shape.plot() is None: self.shape.set_points(None) filter.plot.add_item_with_z_offset(self.shape, SHAPE_Z_OFFSET) self.shape.setZ(filter.plot.get_max_z() + 1) if self.setup_shape_cb is not None: self.setup_shape_cb(self.shape) self.shape.add_local_point(self.init_pos) self.current_handle = self.shape.add_local_point(QC.QPointF(event.pos())) self.shape.set_closed(self.closed and len(self.shape.get_points()) > 2) self.shape.show() filter.plot.replot() def move(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """ Handle mouse move event to update the position of the last point. Args: filter: The plot filter. event: The mouse event. """ self.shape.move_local_point_to(self.current_handle, QC.QPointF(event.pos())) filter.plot.replot() def stop_notmoving(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Stops tracking when the drag event is not moving. Args: filter: The StatefulEventFilter instance. event: The QC.QEvent instance. """ points = self.shape.get_points() if len(points) > 1: self.accept_polygonshape(filter, event) def stop_moving(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """Stops the movement of the drag event. Args: filter: The StatefulEventFilter instance. event: The QC.QEvent instance """ pos = QC.QPointF(event.pos()) if self.init_pos == pos: self.shape.del_point(-1) else: self.shape.move_local_point_to(self.current_handle, pos) filter.plot.replot() def accept_polygonshape( self, filter: StatefulEventFilter, event: QMouseEvent ) -> None: """Accept the polygon shape. Args: filter: The StatefulEventFilter instance. event: The mouse event. """ if self.shape.plot() is None: return filter.plot.del_item(self.shape) self.init_pos = None self.current_handle = None self.SIG_END_POLYLINE.emit(filter, self.shape.get_points()) def cancel_point(self, filter: StatefulEventFilter, event: QMouseEvent) -> None: """ Cancel the last point or remove the shape if it has less than 3 points. Args: filter: The plot filter. event: The triggering event. """ points = self.shape.get_points() if points is None or self.shape.plot() is None: return if len(points) <= 2: filter.plot.del_item(self.shape) self.init_pos = None self.shape.closed = False else: if self.current_handle: newh = self.shape.del_point(self.current_handle) else: newh = self.shape.del_point(-1) self.current_handle = newh self.shape.set_closed(self.closed and len(self.shape.get_points()) > 2) filter.plot.replot() def setup_standard_tool_filter(filter: StatefulEventFilter, start_state: int) -> int: """Creation of standard filters (pan/zoom) on middle/right buttons Args: filter: The StatefulEventFilter instance. start_state: The starting state. Returns: The starting state. """ # Middle button # Do not use QC.Qt.MouseButton.MidButton (Qt6!) PanHandler(filter, QC.Qt.MidButton, start_state=start_state) AutoZoomHandler(filter, QC.Qt.MidButton, start_state=start_state) # Right button ZoomHandler(filter, QC.Qt.MouseButton.RightButton, start_state=start_state) MenuHandler(filter, QC.Qt.MouseButton.RightButton, start_state=start_state) # Gestures PinchPanGestureHandler(filter, start_state=start_state) # Other events MoveHandler(filter, start_state=start_state) MoveHandler( filter, start_state=start_state, mods=QC.Qt.KeyboardModifier.ShiftModifier ) MoveHandler( filter, start_state=start_state, mods=QC.Qt.KeyboardModifier.AltModifier ) WheelZoomHandler( filter, start_state=start_state, mods=QC.Qt.KeyboardModifier.ControlModifier ) return start_state PlotPyStack-PlotPy-2af0906/plotpy/external/000077500000000000000000000000001525747167300206775ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/external/__init__.py000066400000000000000000000005741525747167300230160ustar00rootroot00000000000000from .sliders import ( QDoubleRangeSlider, QDoubleSlider, QLabeledDoubleRangeSlider, QLabeledDoubleSlider, QLabeledRangeSlider, QLabeledSlider, QRangeSlider, ) __all__ = [ "QDoubleRangeSlider", "QDoubleSlider", "QLabeledDoubleRangeSlider", "QLabeledDoubleSlider", "QLabeledRangeSlider", "QLabeledSlider", "QRangeSlider", ] PlotPyStack-PlotPy-2af0906/plotpy/external/sliders/000077500000000000000000000000001525747167300223445ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/external/sliders/__init__.py000066400000000000000000000040131525747167300244530ustar00rootroot00000000000000# Copyright (c) 2021, Talley Lambert # All rights reserved. # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # * Redistributions of source code must retain the above copyright notice, this # list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # * Neither the name of superqt nor the names of its # contributors may be used to endorse or promote products derived from # this software without specific prior written permission. # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR # SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, # OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. from ._labeled import ( QLabeledDoubleRangeSlider, QLabeledDoubleSlider, QLabeledRangeSlider, QLabeledSlider, ) from ._misc import signals_blocked from ._range_style import MONTEREY_SLIDER_STYLES_FIX from ._sliders import QDoubleRangeSlider, QDoubleSlider, QRangeSlider __all__ = [ "MONTEREY_SLIDER_STYLES_FIX", "QDoubleRangeSlider", "QDoubleSlider", "QLabeledDoubleRangeSlider", "QLabeledDoubleSlider", "QLabeledRangeSlider", "QLabeledSlider", "QRangeSlider", "signals_blocked", ] PlotPyStack-PlotPy-2af0906/plotpy/external/sliders/_generic_range_slider.py000066400000000000000000000333541525747167300272170ustar00rootroot00000000000000from typing import List, Optional, Sequence, Tuple, TypeVar, Union from qtpy import QtGui from qtpy.QtCore import Property, QEvent, QPoint, QPointF, QRect, QRectF, Qt, Signal from qtpy.QtWidgets import QSlider, QStyle, QStyleOptionSlider, QStylePainter from ._generic_slider import CC_SLIDER, SC_GROOVE, SC_HANDLE, SC_NONE, _GenericSlider from ._range_style import ( MONTEREY_SLIDER_STYLES_FIX, RangeSliderStyle, update_styles_from_stylesheet, ) _T = TypeVar("_T") SC_BAR = QStyle.SubControl.SC_ScrollBarSubPage class _GenericRangeSlider(_GenericSlider): """MultiHandle Range Slider widget. Same API as QSlider, but `value`, `setValue`, `sliderPosition`, and `setSliderPosition` are all sequences of integers. The `valueChanged` and `sliderMoved` signals also both emit a tuple of integers. """ # -- BEGIN -- Original implementation, causing segfault on Linux with PySide6 # https://github.com/PlotPyStack/PlotPy/issues/21 # _valuesChanged = Signal(tuple) # _slidersMoved = Signal(tuple) # -- END -- # -- BEGIN -- New implementation: avoid segfault by overriding the class attributes # instead of overriding them through instance attributes in `__init__` valueChanged = Signal(tuple) sliderMoved = Signal(tuple) # -- END -- def __init__(self, *args, **kwargs): self._style = RangeSliderStyle() super().__init__(*args, **kwargs) # -- BEGIN -- Original implementation, causing segfault on Linux with PySide6 # https://github.com/PlotPyStack/PlotPy/issues/21 # self.valueChanged = self._valuesChanged # self.sliderMoved = self._slidersMoved # -- END -- # list of values self._value: List[_T] = [20, 80] # list of current positions of each handle. same length as _value # If tracking is enabled (the default) this will be identical to _value self._position: List[_T] = [20, 80] # which handle is being pressed/hovered self._pressedIndex = 0 self._hoverIndex = 0 # whether bar length is constant when dragging the bar # if False, the bar can shorten when dragged beyond min/max self._bar_is_rigid = True # whether clicking on the bar moves all handles, or just the nearest handle self._bar_moves_all = True self._should_draw_bar = True # color self.setStyleSheet("") # ############### New Public API ####################### def barIsRigid(self) -> bool: """Whether bar length is constant when dragging the bar. If `False`, the bar can shorten when dragged beyond min/max. Default is `True`. """ return self._bar_is_rigid def setBarIsRigid(self, val: bool = True) -> None: """Whether bar length is constant when dragging the bar. If `False`, the bar can shorten when dragged beyond min/max. Default is `True`. """ self._bar_is_rigid = bool(val) def barMovesAllHandles(self) -> bool: """Whether clicking on the bar moves all handles, or just the nearest.""" return self._bar_moves_all def setBarMovesAllHandles(self, val: bool = True) -> None: """Whether clicking on the bar moves all handles, or just the nearest.""" self._bar_moves_all = bool(val) def barIsVisible(self) -> bool: """Whether to show the bar between the first and last handle.""" return self._should_draw_bar def setBarVisible(self, val: bool = True) -> None: """Whether to show the bar between the first and last handle.""" self._should_draw_bar = bool(val) def hideBar(self) -> None: """Hide the bar between the first and last handle.""" self.setBarVisible(False) def showBar(self) -> None: """Show the bar between the first and last handle.""" self.setBarVisible(True) def applyMacStylePatch(self) -> str: """Apply a QSS patch to fix sliders on macos>=12 with QT < 6. see [FAQ](../faq.md#sliders-not-dragging-properly-on-macos-12) for more details. """ super().applyMacStylePatch() self._style._macpatch = True # ############### QtOverrides ####################### def value(self) -> Tuple[_T, ...]: """Get current value of the widget as a tuple of integers.""" return tuple(self._value) def sliderPosition(self): """Get current value of the widget as a tuple of integers. If tracking is enabled (the default) this will be identical to value(). """ return tuple(float(i) for i in self._position) def setSliderPosition(self, pos: Union[float, Sequence[float]], index=None) -> None: """Set current position of the handles with a sequence of integers. If `pos` is a sequence, it must have the same length as `value()`. If it is a scalar, index will be """ if isinstance(pos, (list, tuple)): val_len = len(self.value()) if len(pos) != val_len: msg = f"'sliderPosition' must have same length as 'value()' ({val_len})" raise ValueError(msg) pairs = list(enumerate(pos)) else: pairs = [(self._pressedIndex if index is None else index, pos)] for idx, position in pairs: self._position[idx] = self._bound(position, idx) self._doSliderMove() def setStyleSheet(self, styleSheet: str) -> None: return super().setStyleSheet(self._patch_style(styleSheet)) def _patch_style(self, style: str): """Override to patch style options before painting.""" # sub-page styles render on top of the lower sliders and don't work here. if self._style._macpatch and not style: style = MONTEREY_SLIDER_STYLES_FIX override = f""" \n{type(self).__name__}::sub-page:horizontal {{background: none; border: none}} \n{type(self).__name__}::add-page:vertical {{background: none; border: none}} """ return style + override def event(self, ev: QEvent) -> bool: if ev.type() == QEvent.Type.StyleChange: update_styles_from_stylesheet(self) return super().event(ev) def mouseMoveEvent(self, ev: QtGui.QMouseEvent) -> None: if self._pressedControl == SC_BAR: ev.accept() delta = self._clickOffset - self._pixelPosToRangeValue( self._pick(self._event_position(ev)) ) self._offsetAllPositions(-delta, self._sldPosAtPress) else: super().mouseMoveEvent(ev) def _event_position(self, event): # API changes between PyQt5 (.pos()) and PyQt6 (.position()) return event.pos() if hasattr(event, "pos") else event.position() # ############### Implementation Details ####################### def _setPosition(self, val): self._position = list(val) def _bound(self, value, index=None): if isinstance(value, (list, tuple)): return type(value)(self._bound(v) for v in value) pos = super()._bound(value) if index is not None: pos = self._neighbor_bound(pos, index) return self._type_cast(pos) def _neighbor_bound(self, val, index): # make sure we don't go lower than any preceding index: min_dist = self.singleStep() _lst = self._position if index > 0: val = max(_lst[index - 1] + min_dist, val) # make sure we don't go higher than any following index: if index < (len(_lst) - 1): val = min(_lst[index + 1] - min_dist, val) return val def _getBarColor(self): return self._style.brush(self._styleOption) def _setBarColor(self, color): self._style.brush_active = color barColor = Property(QtGui.QBrush, _getBarColor, _setBarColor) """The color of the bar between the first and last handle.""" def _offsetAllPositions(self, offset: float, ref=None) -> None: if ref is None: ref = self._position if self._bar_is_rigid: # NOTE: This assumes monotonically increasing slider positions if offset > 0 and ref[-1] + offset > self.maximum(): offset = self.maximum() - ref[-1] elif ref[0] + offset < self.minimum(): offset = self.minimum() - ref[0] self.setSliderPosition([i + offset for i in ref]) def _fixStyleOption(self, option): pass @property def _optSliderPositions(self): return [self._to_qinteger_space(p - self._minimum) for p in self._position] # SubControl Positions def _handleRect( self, handle_index: int, opt: Optional[QStyleOptionSlider] = None ) -> QRect: """Return the QRect for all handles.""" opt = opt or self._styleOption opt.sliderPosition = self._optSliderPositions[handle_index] return self.style().subControlRect(CC_SLIDER, opt, SC_HANDLE, self) def _barRect(self, opt: QStyleOptionSlider) -> QRect: """Return the QRect for the bar between the outer handles.""" r_groove = self.style().subControlRect(CC_SLIDER, opt, SC_GROOVE, self) r_bar = QRectF(r_groove) hdl_low, hdl_high = self._handleRect(0, opt), self._handleRect(-1, opt) thickness = self._style.thickness(opt) offset = self._style.offset(opt) if opt.orientation == Qt.Orientation.Horizontal: r_bar.setTop(r_bar.center().y() - thickness / 2 + offset) r_bar.setHeight(thickness) r_bar.setLeft(hdl_low.center().x()) r_bar.setRight(hdl_high.center().x()) else: r_bar.setLeft(r_bar.center().x() - thickness / 2 + offset) r_bar.setWidth(thickness) r_bar.setBottom(hdl_low.center().y()) r_bar.setTop(hdl_high.center().y()) return r_bar # Painting def _drawBar(self, painter: QStylePainter, opt: QStyleOptionSlider): brush = self._style.brush(opt) r_bar = self._barRect(opt) if isinstance(brush, QtGui.QGradient): brush.setStart(r_bar.topLeft()) brush.setFinalStop(r_bar.bottomRight()) painter.setPen(self._style.pen(opt)) painter.setBrush(brush) painter.drawRect(r_bar) def _draw_handle(self, painter: QStylePainter, opt: QStyleOptionSlider): if self._should_draw_bar: self._drawBar(painter, opt) opt.subControls = SC_HANDLE pidx = self._pressedIndex if self._pressedControl == SC_HANDLE else -1 hidx = self._hoverIndex if self._hoverControl == SC_HANDLE else -1 for idx, pos in enumerate(self._optSliderPositions): opt.sliderPosition = pos # make pressed handles appear sunken if idx == pidx: opt.state |= QStyle.StateFlag.State_Sunken else: opt.state = opt.state & ~QStyle.StateFlag.State_Sunken opt.activeSubControls = SC_HANDLE if idx == hidx else SC_NONE painter.drawComplexControl(CC_SLIDER, opt) def _updateHoverControl(self, pos): old_hover = self._hoverControl, self._hoverIndex self._hoverControl, self._hoverIndex = self._getControlAtPos(pos) if (self._hoverControl, self._hoverIndex) != old_hover: self.update() def _updatePressedControl(self, pos): opt = self._styleOption self._pressedControl, self._pressedIndex = self._getControlAtPos(pos, opt) def _setClickOffset(self, pos): if self._pressedControl == SC_BAR: self._clickOffset = self._pixelPosToRangeValue(self._pick(pos)) self._sldPosAtPress = tuple(self._position) elif self._pressedControl == SC_HANDLE: hr = self._handleRect(self._pressedIndex) self._clickOffset = self._pick(pos - hr.topLeft()) # NOTE: this is very much tied to mousepress... not a generic "get control" def _getControlAtPos( self, pos: QPoint, opt: Optional[QStyleOptionSlider] = None ) -> Tuple[QStyle.SubControl, int]: """Update self._pressedControl based on ev.pos().""" opt = opt or self._styleOption if isinstance(pos, QPointF): pos = pos.toPoint() for i in range(len(self._position)): if self._handleRect(i, opt).contains(pos): return (SC_HANDLE, i) click_pos = self._pixelPosToRangeValue(self._pick(pos)) for i, p in enumerate(self._position): if p > click_pos: if i > 0: # the click was in an internal segment if self._bar_moves_all: return (SC_BAR, i) avg = (self._position[i - 1] + self._position[i]) / 2 return (SC_HANDLE, i - 1 if click_pos < avg else i) # the click was below the minimum slider return (SC_HANDLE, 0) # the click was above the maximum slider return (SC_HANDLE, len(self._position) - 1) def _execute_scroll(self, steps_to_scroll, modifiers): if modifiers & Qt.KeyboardModifier.AltModifier: self._spreadAllPositions(shrink=steps_to_scroll < 0) else: self._offsetAllPositions(steps_to_scroll) self.triggerAction(QSlider.SliderAction.SliderMove) def _has_scroll_space_left(self, offset): return (offset > 0 and max(self._value) < self._maximum) or ( offset < 0 and min(self._value) < self._minimum ) def _spreadAllPositions(self, shrink=False, gain=1.1, ref=None) -> None: if ref is None: ref = self._position # if self._bar_is_rigid: # TODO if shrink: gain = 1 / gain center = abs(ref[-1] + ref[0]) / 2 self.setSliderPosition([((i - center) * gain) + center for i in ref]) PlotPyStack-PlotPy-2af0906/plotpy/external/sliders/_generic_slider.py000066400000000000000000000500551525747167300260400ustar00rootroot00000000000000"""Generic Sliders with internal python-based models. This module reimplements most of the logic from qslider.cpp in python: https://code.woboq.org/qt5/qtbase/src/widgets/widgets/qslider.cpp.html This probably looks like tremendous overkill at first (and it may be!), since a it's possible to achieve a very reasonable "float slider" by scaling input float values to some internal integer range for the QSlider, and converting back to float when getting `value()`. However, one still runs into overflow limitations due to the internal integer model. In order to circumvent them, one needs to reimplement more and more of the attributes from QSliderPrivate in order to have the slider behave like a native slider (with all of the proper signals and options). So that's what `_GenericSlider` is below. `_GenericRangeSlider` is a variant that expects `value()` and `sliderPosition()` to be a sequence of scalars rather than a single scalar (with one handle per item), and it forms the basis of QRangeSlider. """ import os import platform from typing import TypeVar from qtpy import QT_VERSION, QtGui from qtpy.QtCore import QEvent, QPoint, QPointF, QRect, Qt, Signal from qtpy.QtWidgets import ( QApplication, QSlider, QStyle, QStyleOptionSlider, QStylePainter, ) from ._range_style import MONTEREY_SLIDER_STYLES_FIX _T = TypeVar("_T") SC_NONE = QStyle.SubControl.SC_None SC_HANDLE = QStyle.SubControl.SC_SliderHandle SC_GROOVE = QStyle.SubControl.SC_SliderGroove SC_TICKMARKS = QStyle.SubControl.SC_SliderTickmarks CC_SLIDER = QStyle.ComplexControl.CC_Slider QOVERFLOW = 2**31 - 1 # whether to use the MONTEREY_SLIDER_STYLES_FIX QSS hack # for fixing sliders on macos>=12 with QT < 6 # https://bugreports.qt.io/browse/QTBUG-98093 # https://github.com/pyapp-kit/superqt/issues/74 USE_MAC_SLIDER_PATCH = ( QT_VERSION and int(QT_VERSION.split(".")[0]) < 6 and platform.system() == "Darwin" and int(platform.mac_ver()[0].split(".", maxsplit=1)[0]) >= 12 and os.getenv("USE_MAC_SLIDER_PATCH", "0") not in ("0", "False", "false") ) class _GenericSlider(QSlider): # -- BEGIN -- Original implementation, causing segfault on Linux with PySide6 # https://github.com/PlotPyStack/PlotPy/issues/21 # _fvalueChanged = Signal(int) # _fsliderMoved = Signal(int) # _frangeChanged = Signal(int, int) # -- END -- # -- BEGIN -- New implementation: avoid segfault by overriding the class attributes # instead of overriding them through instance attributes in `__init__` valueChanged = Signal(int) sliderMoved = Signal(int) rangeChanged = Signal(int, int) # -- END -- MAX_DISPLAY = 5000 def __init__(self, *args, **kwargs) -> None: self._minimum = 0.0 self._maximum = 99.0 self._pageStep = 10.0 self._value: _T = 0.0 # type: ignore self._position: _T = 0.0 self._singleStep = 1.0 self._offsetAccumulated = 0.0 self._blocktracking = False self._tickInterval = 0.0 self._pressedControl = SC_NONE self._hoverControl = SC_NONE self._hoverRect = QRect() self._clickOffset = 0.0 # for keyboard nav self._repeatMultiplier = 1 # TODO # for wheel nav self._offset_accum = 0.0 # fraction of total range to scroll when holding Ctrl while scrolling self._control_fraction = 0.04 super().__init__(*args, **kwargs) # -- BEGIN -- Original implementation, causing segfault on Linux with PySide6 # https://github.com/PlotPyStack/PlotPy/issues/21 # self.valueChanged = self._fvalueChanged # self.sliderMoved = self._fsliderMoved # self.rangeChanged = self._frangeChanged # -- END -- self.setAttribute(Qt.WidgetAttribute.WA_Hover) self.setStyleSheet("") if USE_MAC_SLIDER_PATCH: self.applyMacStylePatch() def applyMacStylePatch(self) -> str: """Apply a QSS patch to fix sliders on macos>=12 with QT < 6. see [FAQ](../faq.md#sliders-not-dragging-properly-on-macos-12) for more details. """ self.setStyleSheet(MONTEREY_SLIDER_STYLES_FIX) # ############### QtOverrides ####################### def value(self) -> _T: # type: ignore return self._value def setValue(self, value: _T) -> None: value = self._bound(value) if self._value == value and self._position == value: return self._value = value if self._position != value: self._setPosition(value) if self.isSliderDown(): self.sliderMoved.emit(self.sliderPosition()) self.sliderChange(self.SliderChange.SliderValueChange) self.valueChanged.emit(self.value()) def sliderPosition(self) -> _T: # type: ignore return self._position def setSliderPosition(self, pos: _T) -> None: position = self._bound(pos) if position == self._position: return self._setPosition(position) self._doSliderMove() def singleStep(self) -> float: # type: ignore return self._singleStep def setSingleStep(self, step: float) -> None: if step != self._singleStep: self._setSteps(step, self._pageStep) def pageStep(self) -> float: # type: ignore return self._pageStep def setPageStep(self, step: float) -> None: if step != self._pageStep: self._setSteps(self._singleStep, step) def minimum(self) -> float: # type: ignore return self._minimum def setMinimum(self, min: float) -> None: self.setRange(min, max(self._maximum, min)) def maximum(self) -> float: # type: ignore return self._maximum def setMaximum(self, max: float) -> None: self.setRange(min(self._minimum, max), max) def setRange(self, min: float, max_: float) -> None: oldMin, self._minimum = self._minimum, self._type_cast(min) oldMax, self._maximum = self._maximum, self._type_cast(max(min, max_)) if oldMin != self._minimum or oldMax != self._maximum: self.sliderChange(self.SliderChange.SliderRangeChange) self.rangeChanged.emit(self._minimum, self._maximum) self.setValue(self._value) # re-bound def tickInterval(self) -> float: # type: ignore return self._tickInterval def setTickInterval(self, ts: float) -> None: self._tickInterval = max(0.0, ts) self.update() def triggerAction(self, action: QSlider.SliderAction) -> None: self._blocktracking = True # other actions here # self.actionTriggered.emit(action) # FIXME: type not working for all Qt self._blocktracking = False self.setValue(self._position) def initStyleOption(self, option: QStyleOptionSlider) -> None: option.initFrom(self) option.subControls = SC_NONE option.activeSubControls = SC_NONE option.orientation = self.orientation() option.tickPosition = self.tickPosition() option.upsideDown = ( self.invertedAppearance() != (option.direction == Qt.LayoutDirection.RightToLeft) if self.orientation() == Qt.Orientation.Horizontal else not self.invertedAppearance() ) option.direction = ( Qt.LayoutDirection.LeftToRight ) # we use the upsideDown option instead # option.sliderValue = self._value # type: ignore # option.singleStep = self._singleStep # type: ignore if self.orientation() == Qt.Orientation.Horizontal: option.state |= QStyle.StateFlag.State_Horizontal # scale style option to integer space option.minimum = 0 option.maximum = self.MAX_DISPLAY option.tickInterval = self._to_qinteger_space(self._tickInterval) option.pageStep = self._to_qinteger_space(self._pageStep) option.singleStep = self._to_qinteger_space(self._singleStep) self._fixStyleOption(option) def event(self, ev: QEvent) -> bool: if ev.type() == QEvent.Type.WindowActivate: self.update() elif ev.type() in (QEvent.Type.HoverEnter, QEvent.Type.HoverMove): self._updateHoverControl(_event_position(ev)) elif ev.type() == QEvent.Type.HoverLeave: self._hoverControl = SC_NONE lastHoverRect, self._hoverRect = self._hoverRect, QRect() self.update(lastHoverRect) return super().event(ev) def mousePressEvent(self, ev: QtGui.QMouseEvent) -> None: if self._minimum == self._maximum or ev.buttons() ^ ev.button(): ev.ignore() return ev.accept() pos = _event_position(ev) # If the mouse button used is allowed to set the value if ev.button() in (Qt.MouseButton.LeftButton, Qt.MouseButton.MiddleButton): self._updatePressedControl(pos) if self._pressedControl == SC_HANDLE: opt = self._styleOption sr = self.style().subControlRect(CC_SLIDER, opt, SC_HANDLE, self) offset = sr.center() - sr.topLeft() new_pos = self._pixelPosToRangeValue(self._pick(pos - offset)) self.setSliderPosition(new_pos) self.triggerAction(QSlider.SliderAction.SliderMove) self.setRepeatAction(QSlider.SliderAction.SliderNoAction) self.update() # elif: deal with PageSetButtons else: ev.ignore() if self._pressedControl != SC_NONE: self.setRepeatAction(QSlider.SliderAction.SliderNoAction) self._setClickOffset(pos) self.update() self.setSliderDown(True) def mouseMoveEvent(self, ev: QtGui.QMouseEvent) -> None: # TODO: add pixelMetric(QStyle::PM_MaximumDragDistance, &opt, this); if self._pressedControl == SC_NONE: ev.ignore() return ev.accept() pos = self._pick(_event_position(ev)) newPosition = self._pixelPosToRangeValue(pos - self._clickOffset) self.setSliderPosition(newPosition) def mouseReleaseEvent(self, ev: QtGui.QMouseEvent) -> None: if self._pressedControl == SC_NONE or ev.buttons(): ev.ignore() return ev.accept() oldPressed = self._pressedControl self._pressedControl = SC_NONE self.setRepeatAction(QSlider.SliderAction.SliderNoAction) if oldPressed != SC_NONE: self.setSliderDown(False) self.update() def wheelEvent(self, e: QtGui.QWheelEvent) -> None: e.ignore() vertical = bool(e.angleDelta().y()) delta = e.angleDelta().y() if vertical else e.angleDelta().x() if e.inverted(): delta *= -1 orientation = Qt.Orientation.Vertical if vertical else Qt.Orientation.Horizontal if self._scrollByDelta(orientation, e.modifiers(), delta): e.accept() def paintEvent(self, ev: QtGui.QPaintEvent) -> None: painter = QStylePainter(self) opt = self._styleOption # draw groove and ticks opt.subControls = SC_GROOVE if opt.tickPosition != QSlider.TickPosition.NoTicks: opt.subControls |= SC_TICKMARKS painter.drawComplexControl(CC_SLIDER, opt) if ( opt.tickPosition != QSlider.TickPosition.NoTicks and "MONTEREY_SLIDER_STYLES_FIX" in self.styleSheet() ): # draw tick marks manually because they are badly behaved with style sheets interval = opt.tickInterval or int(self._pageStep) _range = self._maximum - self._minimum nticks = (_range + interval) // interval painter.setPen(QtGui.QColor("#C7C7C7")) half_height = 3 for i in range(int(nticks)): if self.orientation() == Qt.Orientation.Vertical: y = int((self.height() - 8) * i / (nticks - 1)) + 1 x = self.rect().center().x() painter.drawRect(x - half_height, y, 6, 1) else: x = int((self.width() - 3) * i / (nticks - 1)) + 1 y = self.rect().center().y() painter.drawRect(x, y - half_height, 1, 6) self._draw_handle(painter, opt) # ############### Implementation Details ####################### def _type_cast(self, val): return val def _setPosition(self, val): self._position = val def _bound(self, value: _T) -> _T: return self._type_cast(max(self._minimum, min(self._maximum, value))) def _fixStyleOption(self, option): option.sliderPosition = self._to_qinteger_space(self._position - self._minimum) option.sliderValue = self._to_qinteger_space(self._value - self._minimum) def _to_qinteger_space(self, val, _max=None): _max = _max or self.MAX_DISPLAY return int(min(QOVERFLOW, val / (self._maximum - self._minimum) * _max)) def _pick(self, pt: QPoint) -> int: return pt.x() if self.orientation() == Qt.Orientation.Horizontal else pt.y() def _setSteps(self, single: float, page: float): self._singleStep = single self._pageStep = page self.sliderChange(QSlider.SliderChange.SliderStepsChange) def _doSliderMove(self): if not self.hasTracking(): self.update() if self.isSliderDown(): self.sliderMoved.emit(self.sliderPosition()) if self.hasTracking() and not self._blocktracking: self.triggerAction(QSlider.SliderAction.SliderMove) @property def _styleOption(self): opt = QStyleOptionSlider() self.initStyleOption(opt) return opt def _updateHoverControl(self, pos: QPoint) -> bool: lastHoverRect = self._hoverRect lastHoverControl = self._hoverControl doesHover = self.testAttribute(Qt.WidgetAttribute.WA_Hover) if lastHoverControl != self._newHoverControl(pos) and doesHover: self.update(lastHoverRect) self.update(self._hoverRect) return True return not doesHover def _newHoverControl(self, pos: QPoint) -> QStyle.SubControl: opt = self._styleOption opt.subControls = QStyle.SubControl.SC_All handleRect = self.style().subControlRect(CC_SLIDER, opt, SC_HANDLE, self) grooveRect = self.style().subControlRect(CC_SLIDER, opt, SC_GROOVE, self) tickmarksRect = self.style().subControlRect(CC_SLIDER, opt, SC_TICKMARKS, self) if handleRect.contains(pos): self._hoverRect = handleRect self._hoverControl = SC_HANDLE elif grooveRect.contains(pos): self._hoverRect = grooveRect self._hoverControl = SC_GROOVE elif tickmarksRect.contains(pos): self._hoverRect = tickmarksRect self._hoverControl = SC_TICKMARKS else: self._hoverRect = QRect() self._hoverControl = SC_NONE return self._hoverControl def _setClickOffset(self, pos: QPoint): hr = self.style().subControlRect(CC_SLIDER, self._styleOption, SC_HANDLE, self) self._clickOffset = self._pick(pos - hr.topLeft()) def _updatePressedControl(self, pos: QPoint): self._pressedControl = SC_HANDLE def _draw_handle(self, painter, opt): opt.subControls = SC_HANDLE if self._pressedControl: opt.activeSubControls = self._pressedControl opt.state |= QStyle.StateFlag.State_Sunken else: opt.activeSubControls = self._hoverControl painter.drawComplexControl(CC_SLIDER, opt) # from QSliderPrivate.pixelPosToRangeValue def _pixelPosToRangeValue(self, pos: int) -> float: opt = self._styleOption gr = self.style().subControlRect(CC_SLIDER, opt, SC_GROOVE, self) sr = self.style().subControlRect(CC_SLIDER, opt, SC_HANDLE, self) if self.orientation() == Qt.Orientation.Horizontal: sliderLength = sr.width() sliderMin = gr.x() sliderMax = gr.right() - sliderLength + 1 else: sliderLength = sr.height() sliderMin = gr.y() sliderMax = gr.bottom() - sliderLength + 1 return _sliderValueFromPosition( self._minimum, self._maximum, pos - sliderMin, sliderMax - sliderMin, opt.upsideDown, ) def _scrollByDelta(self, orientation, modifiers, delta: int) -> bool: steps_to_scroll = 0.0 pg_step = self._pageStep # in Qt scrolling to the right gives negative values. if orientation == Qt.Orientation.Horizontal: delta *= -1 offset = delta / 120 if modifiers & Qt.KeyboardModifier.ShiftModifier: # Scroll one page regardless of delta: steps_to_scroll = max(-pg_step, min(pg_step, offset * pg_step)) self._offset_accum = 0 elif modifiers & Qt.KeyboardModifier.ControlModifier: _range = self._maximum - self._minimum steps_to_scroll = offset * _range * self._control_fraction self._offset_accum = 0 else: # Calculate how many lines to scroll. Depending on what delta is (and # offset), we might end up with a fraction (e.g. scroll 1.3 lines). We can # only scroll whole lines, so we keep the reminder until next event. wheel_scroll_lines = QApplication.wheelScrollLines() steps_to_scrollF = wheel_scroll_lines * offset * self._effectiveSingleStep() # Check if wheel changed direction since last event: if self._offset_accum != 0 and (offset / self._offset_accum) < 0: self._offset_accum = 0 self._offset_accum += steps_to_scrollF # Don't scroll more than one page in any case: steps_to_scroll = max(-pg_step, min(pg_step, self._offset_accum)) self._offset_accum -= self._offset_accum if steps_to_scroll == 0: # We moved less than a line, but might still have accumulated partial # scroll, unless we already are at one of the ends. effective_offset = self._offset_accum if self.invertedControls(): effective_offset *= -1 if self._has_scroll_space_left(effective_offset): return True self._offset_accum = 0 return False if self.invertedControls(): steps_to_scroll *= -1 prevValue = self._value self._execute_scroll(steps_to_scroll, modifiers) if prevValue == self._value: self._offset_accum = 0 return False return True def _has_scroll_space_left(self, offset): return (offset > 0 and self._value < self._maximum) or ( offset < 0 and self._value < self._minimum ) def _execute_scroll(self, steps_to_scroll, modifiers): self._setPosition(self._bound(self._overflowSafeAdd(steps_to_scroll))) self.triggerAction(QSlider.SliderAction.SliderMove) def _effectiveSingleStep(self) -> float: return self._singleStep * self._repeatMultiplier def _overflowSafeAdd(self, add: float) -> float: newValue = self._value + add if add > 0 and newValue < self._value: newValue = self._maximum elif add < 0 and newValue > self._value: newValue = self._minimum return newValue # def keyPressEvent(self, ev: QtGui.QKeyEvent) -> None: # return # TODO def _event_position(ev: QEvent) -> QPoint: # safe for Qt6, Qt5, and hoverEvent evp = getattr(ev, "position", getattr(ev, "pos", None)) pos = evp() if evp else QPoint() if isinstance(pos, QPointF): pos = pos.toPoint() return pos def _sliderValueFromPosition( min: float, max: float, position: int, span: int, upsideDown: bool = False ) -> float: """Converts the given pixel `position` to a value.""" if span <= 0 or position <= 0: return max if upsideDown else min if position >= span: return min if upsideDown else max tmp = (max - min) * (position / span) return (max - tmp) if upsideDown else tmp + min PlotPyStack-PlotPy-2af0906/plotpy/external/sliders/_labeled.py000066400000000000000000000553721525747167300244610ustar00rootroot00000000000000from __future__ import annotations import contextlib from enum import IntEnum, IntFlag, auto from functools import partial from typing import Any, overload from qtpy.QtCore import QPoint, QSize, Qt, Signal from qtpy.QtGui import QFontMetrics, QValidator from qtpy.QtWidgets import ( QAbstractSlider, QApplication, QBoxLayout, QDoubleSpinBox, QHBoxLayout, QSlider, QSpinBox, QStyle, QStyleOptionSpinBox, QVBoxLayout, QWidget, ) from ._misc import signals_blocked from ._sliders import QDoubleRangeSlider, QDoubleSlider, QRangeSlider class LabelPosition(IntEnum): NoLabel = 0 LabelsAbove = auto() LabelsBelow = auto() LabelsRight = LabelsAbove LabelsLeft = LabelsBelow class EdgeLabelMode(IntFlag): NoLabel = 0 LabelIsRange = auto() LabelIsValue = auto() class _SliderProxy: _slider: QSlider def value(self) -> int: return self._slider.value() def setValue(self, value: int) -> None: self._slider.setValue(value) def sliderPosition(self) -> int: return self._slider.sliderPosition() def setSliderPosition(self, pos: int) -> None: self._slider.setSliderPosition(pos) def minimum(self) -> int: return self._slider.minimum() def setMinimum(self, minimum: int) -> None: self._slider.setMinimum(minimum) def maximum(self) -> int: return self._slider.maximum() def setMaximum(self, maximum: int) -> None: self._slider.setMaximum(maximum) def singleStep(self): return self._slider.singleStep() def setSingleStep(self, step: int) -> None: self._slider.setSingleStep(step) def pageStep(self) -> int: return self._slider.pageStep() def setPageStep(self, step: int) -> None: self._slider.setPageStep(step) def setRange(self, min: int, max: int) -> None: self._slider.setRange(min, max) def tickInterval(self) -> int: return self._slider.tickInterval() def setTickInterval(self, interval: int) -> None: self._slider.setTickInterval(interval) def tickPosition(self) -> QSlider.TickPosition: return self._slider.tickPosition() def setTickPosition(self, pos: QSlider.TickPosition) -> None: self._slider.setTickPosition(pos) def __getattr__(self, name: Any) -> Any: return getattr(self._slider, name) def _handle_overloaded_slider_sig( args: tuple, kwargs: dict ) -> tuple[QWidget | None, Qt.Orientation]: """Maintaining signature of QSlider.__init__.""" parent = None orientation = Qt.Orientation.Horizontal errmsg = ( "TypeError: arguments did not match any overloaded call:\n" " QSlider(parent: QWidget = None)\n" " QSlider(Qt.Orientation, parent: QWidget = None)" ) if len(args) > 2: raise TypeError(errmsg) elif len(args) == 2: if kwargs: raise TypeError(errmsg) orientation, parent = args elif args: if isinstance(args[0], QWidget): if kwargs: raise TypeError(errmsg) parent = args[0] else: orientation = args[0] parent = kwargs.get("parent", parent) return parent, orientation class QLabeledSlider(_SliderProxy, QAbstractSlider): editingFinished = Signal() _slider_class = QSlider _slider: QSlider @overload def __init__(self, parent: QWidget | None = ...) -> None: ... @overload def __init__( self, orientation: Qt.Orientation, parent: QWidget | None = ... ) -> None: ... def __init__(self, *args: Any, **kwargs: Any) -> None: parent, orientation = _handle_overloaded_slider_sig(args, kwargs) super().__init__(parent) # accept focus events fp = self.style().styleHint(QStyle.StyleHint.SH_Button_FocusPolicy) self.setFocusPolicy(Qt.FocusPolicy(fp)) self._slider = self._slider_class(parent=self) self._label = SliderLabel(self._slider, connect=self._setValue, parent=self) self._edge_label_mode: EdgeLabelMode = EdgeLabelMode.LabelIsValue self._rename_signals() self._slider.actionTriggered.connect(self.actionTriggered.emit) self._slider.rangeChanged.connect(self._on_slider_range_changed) self._slider.sliderMoved.connect(self.sliderMoved.emit) self._slider.sliderPressed.connect(self.sliderPressed.emit) self._slider.sliderReleased.connect(self.sliderReleased.emit) self._slider.valueChanged.connect(self._on_slider_value_changed) self._label.editingFinished.connect(self.editingFinished) self.setOrientation(orientation) # ------------------- public API ------------------- def setOrientation(self, orientation: Qt.Orientation) -> None: """Set orientation, value will be 'horizontal' or 'vertical'.""" self._slider.setOrientation(orientation) marg = (0, 0, 0, 0) if orientation == Qt.Orientation.Vertical: layout = QVBoxLayout() layout.addWidget(self._slider, alignment=Qt.AlignmentFlag.AlignHCenter) layout.addWidget(self._label, alignment=Qt.AlignmentFlag.AlignHCenter) self._label.setAlignment(Qt.AlignmentFlag.AlignCenter) layout.setSpacing(1) else: if self._edge_label_mode == EdgeLabelMode.NoLabel: marg = (0, 0, 5, 0) layout = QHBoxLayout() # type: ignore layout.addWidget(self._slider) layout.addWidget(self._label) self._label.setAlignment(Qt.AlignmentFlag.AlignRight) layout.setSpacing(6) old_layout = self.layout() if old_layout is not None: QWidget().setLayout(old_layout) layout.setContentsMargins(*marg) self.setLayout(layout) def edgeLabelMode(self) -> EdgeLabelMode: """Return current `EdgeLabelMode`.""" return self._edge_label_mode def setEdgeLabelMode(self, opt: EdgeLabelMode) -> None: """Set the `EdgeLabelMode`. Parameters ---------- opt : EdgeLabelMode To show no label, use `EdgeLabelMode.NoLabel`. To show the value of the slider, use `EdgeLabelMode.LabelIsValue`. To show `value / maximum`, use `EdgeLabelMode.LabelIsValue | EdgeLabelMode.LabelIsRange`. """ if opt is EdgeLabelMode.LabelIsRange: raise ValueError( "mode must be one of 'EdgeLabelMode.NoLabel' or " "'EdgeLabelMode.LabelIsValue' or" "'EdgeLabelMode.LabelIsValue | EdgeLabelMode.LabelIsRange'." ) self._edge_label_mode = opt if not self._edge_label_mode: self._label.hide() w = 5 if self.orientation() == Qt.Orientation.Horizontal else 0 self.layout().setContentsMargins(0, 0, w, 0) if opt & EdgeLabelMode.LabelIsValue: if self.isVisible(): self._label.show() self._label.setMode(opt) self._label.setValue(self._slider.value()) self.layout().setContentsMargins(0, 0, 0, 0) self._on_slider_range_changed(self.minimum(), self.maximum()) QApplication.processEvents() # putting this after labelMode methods for the sake of mypy EdgeLabelMode = EdgeLabelMode # --------------------- private api -------------------- def _on_slider_range_changed(self, min_: int, max_: int) -> None: slash = " / " if self._edge_label_mode & EdgeLabelMode.LabelIsValue else "" if self._edge_label_mode & EdgeLabelMode.LabelIsRange: self._label.setSuffix(f"{slash}{max_}") self.rangeChanged.emit(min_, max_) def _on_slider_value_changed(self, v: Any) -> None: self._label.setValue(v) self.valueChanged.emit(v) def _setValue(self, value: float) -> None: """Convert the value from float to int before setting the slider value.""" self._slider.setValue(int(value)) def _rename_signals(self) -> None: # for subclasses pass class QLabeledDoubleSlider(QLabeledSlider): _slider_class = QDoubleSlider _slider: QDoubleSlider _fvalueChanged = Signal(float) _fsliderMoved = Signal(float) _frangeChanged = Signal(float, float) @overload def __init__(self, parent: QWidget | None = ...) -> None: ... @overload def __init__( self, orientation: Qt.Orientation, parent: QWidget | None = ... ) -> None: ... def __init__(self, *args: Any, **kwargs: Any) -> None: super().__init__(*args, **kwargs) self.setDecimals(2) def _setValue(self, value: float) -> None: """Convert the value from float to int before setting the slider value.""" self._slider.setValue(value) def _rename_signals(self) -> None: self.valueChanged = self._fvalueChanged self.sliderMoved = self._fsliderMoved self.rangeChanged = self._frangeChanged def decimals(self) -> int: return self._label.decimals() def setDecimals(self, prec: int) -> None: self._label.setDecimals(prec) class QLabeledRangeSlider(_SliderProxy, QAbstractSlider): _valueChanged = Signal(tuple) editingFinished = Signal() _slider_class = QRangeSlider _slider: QRangeSlider @overload def __init__(self, parent: QWidget | None = ...) -> None: ... @overload def __init__( self, orientation: Qt.Orientation, parent: QWidget | None = ... ) -> None: ... def __init__(self, *args: Any, **kwargs: Any) -> None: parent, orientation = _handle_overloaded_slider_sig(args, kwargs) super().__init__(parent) self._rename_signals() self.setAttribute(Qt.WidgetAttribute.WA_ShowWithoutActivating) self._handle_labels = [] self._handle_label_position: LabelPosition = LabelPosition.LabelsAbove # for fine tuning label position self.label_shift_x = 0 self.label_shift_y = 0 self._slider = self._slider_class() self._slider.valueChanged.connect(self.valueChanged.emit) self._slider.rangeChanged.connect(self.rangeChanged.emit) self.sliderMoved = self._slider._slidersMoved self._min_label = SliderLabel( self._slider, alignment=Qt.AlignmentFlag.AlignLeft, connect=self._min_label_edited, ) self._max_label = SliderLabel( self._slider, alignment=Qt.AlignmentFlag.AlignRight, connect=self._max_label_edited, ) self._min_label.editingFinished.connect(self.editingFinished) self._max_label.editingFinished.connect(self.editingFinished) self.setEdgeLabelMode(EdgeLabelMode.LabelIsRange) self._slider.valueChanged.connect(self._on_value_changed) self._slider.rangeChanged.connect(self._on_range_changed) self._on_value_changed(self._slider.value()) self._on_range_changed(self._slider.minimum(), self._slider.maximum()) self.setOrientation(orientation) # --------------------- public API ------------------- def handleLabelPosition(self) -> LabelPosition: """Return where/whether labels are shown adjacent to slider handles.""" return self._handle_label_position def setHandleLabelPosition(self, opt: LabelPosition) -> None: """Set where/whether labels are shown adjacent to slider handles.""" self._handle_label_position = opt for lbl in self._handle_labels: if not opt: lbl.hide() else: lbl.show() self.setOrientation(self.orientation()) def edgeLabelMode(self) -> EdgeLabelMode: """Return current `EdgeLabelMode`.""" return self._edge_label_mode def setEdgeLabelMode(self, opt: EdgeLabelMode) -> None: """Set `EdgeLabelMode`, controls what is shown at the min/max labels.""" self._edge_label_mode = opt if not self._edge_label_mode: self._min_label.hide() self._max_label.hide() else: if self.isVisible(): self._min_label.show() self._max_label.show() self._min_label.setMode(opt) self._max_label.setMode(opt) if opt == EdgeLabelMode.LabelIsValue: v0, *_, v1 = self._slider.value() self._min_label.setValue(v0) self._max_label.setValue(v1) elif opt == EdgeLabelMode.LabelIsRange: self._min_label.setValue(self._slider.minimum()) self._max_label.setValue(self._slider.maximum()) QApplication.processEvents() self._reposition_labels() def setRange(self, min: int, max: int) -> None: self._on_range_changed(min, max) def setOrientation(self, orientation: Qt.Orientation) -> None: """Set orientation, value will be 'horizontal' or 'vertical'.""" self._slider.setOrientation(orientation) if orientation == Qt.Orientation.Vertical: layout: QBoxLayout = QVBoxLayout() layout.setSpacing(1) layout.addWidget(self._max_label) layout.addWidget(self._slider) layout.addWidget(self._min_label) # TODO: set margins based on label width if self._handle_label_position == LabelPosition.LabelsLeft: marg = (30, 0, 0, 0) elif self._handle_label_position == LabelPosition.NoLabel: marg = (0, 0, 0, 0) else: marg = (0, 0, 20, 0) layout.setAlignment(Qt.AlignmentFlag.AlignCenter) else: layout = QHBoxLayout() layout.setSpacing(7) if self._handle_label_position == LabelPosition.LabelsBelow: marg = (0, 0, 0, 25) elif self._handle_label_position == LabelPosition.NoLabel: marg = (0, 0, 0, 0) else: marg = (0, 25, 0, 0) layout.addWidget(self._min_label) layout.addWidget(self._slider) layout.addWidget(self._max_label) # remove old layout old_layout = self.layout() if old_layout is not None: QWidget().setLayout(old_layout) self.setLayout(layout) layout.setContentsMargins(*marg) super().setOrientation(orientation) QApplication.processEvents() self._reposition_labels() def resizeEvent(self, a0) -> None: super().resizeEvent(a0) self._reposition_labels() # putting this after methods above for the sake of mypy LabelPosition = LabelPosition EdgeLabelMode = EdgeLabelMode # ------------- private methods ---------------- def _rename_signals(self) -> None: self.valueChanged = self._valueChanged def _reposition_labels(self) -> None: if ( not self._handle_labels or self._handle_label_position == LabelPosition.NoLabel ): return horizontal = self.orientation() == Qt.Orientation.Horizontal labels_above = self._handle_label_position == LabelPosition.LabelsAbove last_edge = None for i, label in enumerate(self._handle_labels): rect = self._slider._handleRect(i) dx = -label.width() / 2 dy = -label.height() / 2 if labels_above: if horizontal: dy *= 3 else: dx *= -1 else: if horizontal: dy *= -1 else: dx *= 3 pos = self._slider.mapToParent(rect.center()) pos += QPoint(int(dx + self.label_shift_x), int(dy + self.label_shift_y)) if last_edge is not None: # prevent label overlap if horizontal: pos.setX(int(max(pos.x(), last_edge.x() + label.width() / 2 + 12))) else: pos.setY(int(min(pos.y(), last_edge.y() - label.height() / 2 - 4))) label.move(pos) last_edge = pos label.clearFocus() label.show() self.update() def _min_label_edited(self, val: float) -> None: if self._edge_label_mode == EdgeLabelMode.LabelIsRange: self.setMinimum(val) else: v = list(self._slider.value()) v[0] = val self.setValue(v) self._reposition_labels() def _max_label_edited(self, val: float) -> None: if self._edge_label_mode == EdgeLabelMode.LabelIsRange: self.setMaximum(val) else: v = list(self._slider.value()) v[-1] = val self.setValue(v) self._reposition_labels() def _on_value_changed(self, v: tuple[int, ...]) -> None: if self._edge_label_mode == EdgeLabelMode.LabelIsValue: self._min_label.setValue(v[0]) self._max_label.setValue(v[-1]) if len(v) != len(self._handle_labels): for lbl in self._handle_labels: lbl.setParent(None) lbl.deleteLater() self._handle_labels.clear() for n, val in enumerate(self._slider.value()): _cb = partial(self._slider.setSliderPosition, index=n) s = SliderLabel(self._slider, parent=self, connect=_cb) s.editingFinished.connect(self.editingFinished) s.setValue(val) self._handle_labels.append(s) else: for val, label in zip(v, self._handle_labels): label.setValue(val) self._reposition_labels() def _on_range_changed(self, min: int, max: int) -> None: if (min, max) != (self._slider.minimum(), self._slider.maximum()): self._slider.setRange(min, max) for lbl in self._handle_labels: lbl.setRange(min, max) if self._edge_label_mode == EdgeLabelMode.LabelIsRange: self._min_label.setValue(min) self._max_label.setValue(max) self._reposition_labels() # def setValue(self, value) -> None: # super().setValue(value) # self.sliderChange(QSlider.SliderValueChange) class QLabeledDoubleRangeSlider(QLabeledRangeSlider): _slider_class = QDoubleRangeSlider _slider: QDoubleRangeSlider _frangeChanged = Signal(float, float) @overload def __init__(self, parent: QWidget | None = ...) -> None: ... @overload def __init__( self, orientation: Qt.Orientation, parent: QWidget | None = ... ) -> None: ... def __init__(self, *args: Any, **kwargs: Any) -> None: super().__init__(*args, **kwargs) self.setDecimals(2) def _rename_signals(self) -> None: super()._rename_signals() self.rangeChanged = self._frangeChanged def decimals(self) -> int: return self._min_label.decimals() def setDecimals(self, prec: int) -> None: self._min_label.setDecimals(prec) self._max_label.setDecimals(prec) for lbl in self._handle_labels: lbl.setDecimals(prec) class SliderLabel(QDoubleSpinBox): def __init__( self, slider: QSlider, parent=None, alignment=Qt.AlignmentFlag.AlignCenter, connect=None, ) -> None: super().__init__(parent=parent) self._slider = slider self.setFocusPolicy(Qt.FocusPolicy.ClickFocus) self.setMode(EdgeLabelMode.LabelIsValue) self.setDecimals(0) self.setRange(slider.minimum(), slider.maximum()) slider.rangeChanged.connect(self._update_size) self.setAlignment(alignment) self.setButtonSymbols(QSpinBox.ButtonSymbols.NoButtons) self.setStyleSheet("background:transparent; border: 0;") if connect is not None: self.editingFinished.connect(lambda: connect(self.value())) self.editingFinished.connect(self._silent_clear_focus) self._update_size() def setDecimals(self, prec: int) -> None: super().setDecimals(prec) self._update_size() def setValue(self, val: Any) -> None: super().setValue(val) if self._mode == EdgeLabelMode.LabelIsRange: self._update_size() def setMaximum(self, max: float) -> None: super().setMaximum(max) if self._mode == EdgeLabelMode.LabelIsValue: self._update_size() def setMinimum(self, min: float) -> None: super().setMinimum(min) if self._mode == EdgeLabelMode.LabelIsValue: self._update_size() def setMode(self, opt: EdgeLabelMode) -> None: # when the edge labels are controlling slider range, # we want them to have a big range, but not have a huge label self._mode = opt if opt == EdgeLabelMode.LabelIsRange: self.setMinimum(-9999999) self.setMaximum(9999999) with contextlib.suppress(Exception): self._slider.rangeChanged.disconnect(self.setRange) else: self.setMinimum(self._slider.minimum()) self.setMaximum(self._slider.maximum()) self._slider.rangeChanged.connect(self.setRange) self._update_size() # --------------- private ---------------- def _silent_clear_focus(self) -> None: with signals_blocked(self): self.clearFocus() def _update_size(self, *_: Any) -> None: # fontmetrics to measure the width of text fm = QFontMetrics(self.font()) h = self.sizeHint().height() fixed_content = self.prefix() + self.suffix() + " " if self._mode & EdgeLabelMode.LabelIsValue: # determine width based on min/max/specialValue mintext = self.textFromValue(self.minimum())[:18] maxtext = self.textFromValue(self.maximum())[:18] w = max(0, _fm_width(fm, mintext + fixed_content)) w = max(w, _fm_width(fm, maxtext + fixed_content)) if self.specialValueText(): w = max(w, _fm_width(fm, self.specialValueText())) if self._mode & EdgeLabelMode.LabelIsRange: w += 8 # it seems as thought suffix() is not enough else: w = max(0, _fm_width(fm, self.textFromValue(self.value()))) + 3 w += 3 # cursor blinking space # get the final size hint opt = QStyleOptionSpinBox() self.initStyleOption(opt) size = self.style().sizeFromContents( QStyle.ContentsType.CT_SpinBox, opt, QSize(w, h), self ) self.setFixedSize(size) def validate( self, input_: str | None, pos: int ) -> tuple[QValidator.State, str, int]: # fake like an integer spinbox if input_ and "." in input_ and self.decimals() < 1: return QValidator.State.Invalid, input_, len(input_) return super().validate(input_, pos) def _fm_width(fm: QFontMetrics, text: str) -> int: if hasattr(fm, "horizontalAdvance"): return fm.horizontalAdvance(text) return fm.width(text) PlotPyStack-PlotPy-2af0906/plotpy/external/sliders/_misc.py000066400000000000000000000013261525747167300240120ustar00rootroot00000000000000from contextlib import contextmanager from typing import TYPE_CHECKING, Iterator if TYPE_CHECKING: from qtpy.QtCore import QObject @contextmanager def signals_blocked(obj: "QObject") -> Iterator[None]: """Context manager to temporarily block signals emitted by QObject: `obj`. Parameters ---------- obj : QObject The QObject whose signals should be blocked. Examples -------- ```python from qtpy.QtWidgets import QSpinBox from superqt import signals_blocked spinbox = QSpinBox() with signals_blocked(spinbox): spinbox.setValue(10) ``` """ previous = obj.blockSignals(True) try: yield finally: obj.blockSignals(previous) PlotPyStack-PlotPy-2af0906/plotpy/external/sliders/_range_style.py000066400000000000000000000224351525747167300253770ustar00rootroot00000000000000from __future__ import annotations import platform import re from dataclasses import dataclass, replace from typing import TYPE_CHECKING from qtpy import QT_VERSION from qtpy.QtCore import Qt from qtpy.QtGui import ( QBrush, QColor, QGradient, QLinearGradient, QPalette, QRadialGradient, ) from qtpy.QtWidgets import QApplication, QSlider, QStyleOptionSlider if TYPE_CHECKING: from ._generic_range_slider import _GenericRangeSlider @dataclass class RangeSliderStyle: brush_active: str | None = None brush_inactive: str | None = None brush_disabled: str | None = None pen_active: str | None = None pen_inactive: str | None = None pen_disabled: str | None = None vertical_thickness: float | None = None horizontal_thickness: float | None = None tick_offset: float | None = None tick_bar_alpha: float | None = None v_offset: float | None = None h_offset: float | None = None has_stylesheet: bool = False _macpatch: bool = False def brush(self, opt: QStyleOptionSlider) -> QBrush: cg = opt.palette.currentColorGroup() attr = { QPalette.ColorGroup.Active: "brush_active", # 0 QPalette.ColorGroup.Disabled: "brush_disabled", # 1 QPalette.ColorGroup.Inactive: "brush_inactive", # 2 }[cg] _val = getattr(self, attr) if not _val: if self.has_stylesheet: # if someone set a general style sheet but didn't specify # :active, :inactive, etc... then Qt just uses whatever they # DID specify for i in ("active", "inactive", "disabled"): _val = getattr(self, f"brush_{i}") if _val: break else: _val = getattr(SYSTEM_STYLE, attr) if _val is None: return QBrush() if isinstance(_val, str): val = QColor(_val) if not val.isValid(): val = parse_color(_val, default_attr=attr) else: val = _val if opt.tickPosition != QSlider.TickPosition.NoTicks: val.setAlphaF(self.tick_bar_alpha or SYSTEM_STYLE.tick_bar_alpha) return QBrush(val) def pen(self, opt: QStyleOptionSlider) -> Qt.PenStyle | QColor: cg = opt.palette.currentColorGroup() attr = { QPalette.ColorGroup.Active: "pen_active", # 0 QPalette.ColorGroup.Disabled: "pen_disabled", # 1 QPalette.ColorGroup.Inactive: "pen_inactive", # 2 }[cg] val = getattr(self, attr) or getattr(SYSTEM_STYLE, attr) if not val: return Qt.PenStyle.NoPen if isinstance(val, str): val = QColor(val) if opt.tickPosition != QSlider.TickPosition.NoTicks: val.setAlphaF(self.tick_bar_alpha or SYSTEM_STYLE.tick_bar_alpha) return val def offset(self, opt: QStyleOptionSlider) -> int: off = 0 if not self.has_stylesheet: tp = opt.tickPosition if opt.orientation == Qt.Orientation.Horizontal: if not self._macpatch: off += self.h_offset or SYSTEM_STYLE.h_offset or 0 else: off += self.v_offset or SYSTEM_STYLE.v_offset or 0 if tp == QSlider.TickPosition.TicksAbove: off += self.tick_offset or SYSTEM_STYLE.tick_offset elif tp == QSlider.TickPosition.TicksBelow: off -= self.tick_offset or SYSTEM_STYLE.tick_offset return off def thickness(self, opt: QStyleOptionSlider) -> float: if opt.orientation == Qt.Orientation.Horizontal: return self.horizontal_thickness or SYSTEM_STYLE.horizontal_thickness else: return self.vertical_thickness or SYSTEM_STYLE.vertical_thickness # ########## System-specific default styles ############ BASE_STYLE = RangeSliderStyle( brush_active="#3B88FD", brush_inactive="#8F8F8F", brush_disabled="#BBBBBB", pen_active=None, pen_inactive=None, pen_disabled=None, vertical_thickness=4, horizontal_thickness=4, tick_offset=0, tick_bar_alpha=0.3, v_offset=0, h_offset=0, has_stylesheet=False, ) CATALINA_STYLE = replace( BASE_STYLE, brush_active="#3B88FD", brush_inactive="#8F8F8F", brush_disabled="#D2D2D2", horizontal_thickness=3, vertical_thickness=3, tick_bar_alpha=0.3, tick_offset=4, ) if QT_VERSION and int(QT_VERSION.split(".")[0]) == 6: CATALINA_STYLE = replace(CATALINA_STYLE, tick_offset=2) BIG_SUR_STYLE = replace( CATALINA_STYLE, brush_active="#0A81FE", brush_inactive="#D5D5D5", brush_disabled="#E6E6E6", tick_offset=0, horizontal_thickness=4, vertical_thickness=4, h_offset=-2, tick_bar_alpha=0.2, ) if QT_VERSION and int(QT_VERSION.split(".")[0]) == 6: BIG_SUR_STYLE = replace(BIG_SUR_STYLE, tick_offset=-3) WINDOWS_STYLE = replace( BASE_STYLE, brush_active="#550179D7", brush_inactive="#330179D7", brush_disabled=None, ) LINUX_STYLE = replace( BASE_STYLE, brush_active="#44A0D9", brush_inactive="#44A0D9", brush_disabled="#44A0D9", pen_active="#286384", pen_inactive="#286384", pen_disabled="#286384", ) SYSTEM = platform.system() if SYSTEM == "Darwin": if int(platform.mac_ver()[0].split(".", maxsplit=1)[0]) >= 11: SYSTEM_STYLE = BIG_SUR_STYLE else: SYSTEM_STYLE = CATALINA_STYLE elif SYSTEM == "Windows": SYSTEM_STYLE = WINDOWS_STYLE elif SYSTEM == "Linux": SYSTEM_STYLE = LINUX_STYLE else: SYSTEM_STYLE = BASE_STYLE # ################ Stylesheet parsing logic ######################## qlineargrad_pattern = re.compile( r""" qlineargradient\( x1:\s*(?P\d*\.?\d+),\s* y1:\s*(?P\d*\.?\d+),\s* x2:\s*(?P\d*\.?\d+),\s* y2:\s*(?P\d*\.?\d+),\s* stop:0\s*(?P\S+),.* stop:1\s*(?P\S+) \)""", re.X, ) qradial_pattern = re.compile( r""" qradialgradient\( cx:\s*(?P\d*\.?\d+),\s* cy:\s*(?P\d*\.?\d+),\s* radius:\s*(?P\d*\.?\d+),\s* fx:\s*(?P\d*\.?\d+),\s* fy:\s*(?P\d*\.?\d+),\s* stop:0\s*(?P\S+),.* stop:1\s*(?P\S+) \)""", re.X, ) rgba_pattern = re.compile( r""" rgba?\( (?P\d+),\s* (?P\d+),\s* (?P\d+),?\s*(?P\d+)?\) """, re.X, ) def parse_color(color: str, default_attr) -> QColor | QGradient: qc = QColor(color) if qc.isValid(): return qc match = rgba_pattern.search(color) if match: rgba = [int(x) if x else 255 for x in match.groups()] return QColor(*rgba) # try linear gradient: match = qlineargrad_pattern.search(color) if match: grad = QLinearGradient(*(float(i) for i in match.groups()[:4])) grad.setColorAt(0, QColor(match.groupdict()["stop0"])) grad.setColorAt(1, QColor(match.groupdict()["stop1"])) return grad # try linear gradient: match = qradial_pattern.search(color) if match: grad = QRadialGradient(*(float(i) for i in match.groups()[:5])) grad.setColorAt(0, QColor(match.groupdict()["stop0"])) grad.setColorAt(1, QColor(match.groupdict()["stop1"])) return grad # fallback to dark gray return QColor(getattr(SYSTEM_STYLE, default_attr)) def update_styles_from_stylesheet(obj: _GenericRangeSlider): qss: str = obj.styleSheet() parent = obj.parentWidget() while parent is not None: qss = parent.styleSheet() + qss parent = parent.parentWidget() qss = QApplication.instance().styleSheet() + qss if not qss: return if MONTEREY_SLIDER_STYLES_FIX in qss: qss = qss.replace(MONTEREY_SLIDER_STYLES_FIX, "") obj._style._macpatch = True else: obj._style._macpatch = False # Find bar height/width for orient, dim in (("horizontal", "height"), ("vertical", "width")): match = re.search(rf"Slider::groove:{orient}\s*{{\s*([^}}]+)}}", qss, re.S) if match: for line in reversed(match.groups()[0].splitlines()): bgrd = re.search(rf"{dim}\s*:\s*(\d+)", line) if bgrd: thickness = float(bgrd.groups()[-1]) setattr(obj._style, f"{orient}_thickness", thickness) obj._style.has_stylesheet = True # a fix for https://bugreports.qt.io/browse/QTBUG-98093 MONTEREY_SLIDER_STYLES_FIX = """ /* MONTEREY_SLIDER_STYLES_FIX */ QSlider::groove { background: #DFDFDF; border: 1px solid #DBDBDB; border-radius: 2px; } QSlider::groove:horizontal { height: 2px; margin: 2px; } QSlider::groove:vertical { width: 2px; margin: 2px 0 6px 0; } QSlider::handle { background: white; border: 0.5px solid #DADADA; width: 19.5px; height: 19.5px; border-radius: 10.5px; } QSlider::handle:horizontal { margin: -10px -2px; } QSlider::handle:vertical { margin: -2px -10px; } QSlider::handle:pressed { background: #F0F0F0; } QSlider::sub-page:horizontal { background: #0981FE; border-radius: 2px; margin: 2px; height: 2px; } QSlider::add-page:vertical { background: #0981FE; border-radius: 2px; margin: 2px 0 6px 0; width: 2px; } """.strip() PlotPyStack-PlotPy-2af0906/plotpy/external/sliders/_sliders.py000066400000000000000000000020671525747167300245270ustar00rootroot00000000000000from qtpy.QtCore import Signal from ._generic_range_slider import _GenericRangeSlider from ._generic_slider import _GenericSlider class _IntMixin: def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self._singleStep = 1 def _type_cast(self, value) -> int: return int(round(value)) class _FloatMixin: _fvalueChanged = Signal(float) _fsliderMoved = Signal(float) _frangeChanged = Signal(float, float) def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self._singleStep = 0.01 self._pageStep = 0.1 def _type_cast(self, value) -> float: return float(value) class QDoubleSlider(_FloatMixin, _GenericSlider): pass class QIntSlider(_IntMixin, _GenericSlider): # mostly just an example... use QSlider instead. valueChanged = Signal(int) class QRangeSlider(_IntMixin, _GenericRangeSlider): pass class QDoubleRangeSlider(_FloatMixin, QRangeSlider): pass # QRangeSlider.__doc__ += "\n" + textwrap.indent(QSlider.__doc__, " ") PlotPyStack-PlotPy-2af0906/plotpy/interfaces/000077500000000000000000000000001525747167300212005ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/interfaces/__init__.py000066400000000000000000000007241525747167300233140ustar00rootroot00000000000000# -*- coding: utf-8 -*- # pylint: disable=unused-import # flake8: noqa from .items import ( IBaseImageItem, IBasePlotItem, IColormapImageItemType, ICSImageItemType, ICurveItemType, IDecoratorItemType, IExportROIImageItemType, IHistDataSource, IImageItemType, IItemType, ISerializableType, IShapeItemType, ITrackableItemType, IVoiImageItemType, ) from .panel import IPanel from .plotmanager import IPlotManager PlotPyStack-PlotPy-2af0906/plotpy/interfaces/items.py000066400000000000000000000331171525747167300227000ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ plotpy.widget.interfaces ----------------------------- The `interfaces` module provides object interface classes for :mod:`plotpy`. """ from __future__ import annotations from typing import TYPE_CHECKING import numpy as np if TYPE_CHECKING: import guidata.io from qtpy.QtCore import QPointF from plotpy.styles.base import ItemParameters class IItemType: """Item types are used to categorized items in a broader way than objects obeying IBasePlotItem. The necessity arises from the fact that Plotpy Items can inherit from different base classes and still provide functionalities akin to a given ItemType the types() method of an item returns a list of interfaces this item supports """ class ITrackableItemType(IItemType): def get_closest_coordinates(self, x: float, y: float) -> tuple[float, float]: """ Get the closest coordinates to the given point Args: x: X coordinate y: Y coordinate Returns: tuple[float, float]: Closest coordinates """ def get_coordinates_label(self, x: float, y: float) -> str: """ Get the coordinates label for the given coordinates Args: x: X coordinate y: Y coordinate Returns: str: Coordinates label """ class IDecoratorItemType(IItemType): """represents a decorative item (usually not active) such as grid, or axes markers""" class ICurveItemType(IItemType): """A curve""" class IImageItemType(IItemType): """An image""" class IVoiImageItemType(IItemType): """An image with set_lut_range, get_lut_range""" def set_lut_range(self, lut_range: tuple[float, float]) -> None: """ Set the current active lut range Args: lut_range: Lut range, tuple(min, max) Example: >>> item.set_lut_range((0.0, 1.0)) """ def get_lut_range(self) -> tuple[float, float]: """Get the current active lut range Returns: tuple[float, float]: Lut range, tuple(min, max) """ return 0.0, 1.0 def get_lut_range_full(self) -> tuple[float, float]: """Return full dynamic range Returns: tuple[float, float]: Lut range, tuple(min, max) """ return 10.0, 20.0 def get_lut_range_max(self) -> tuple[float, float]: """Get maximum range for this dataset Returns: tuple[float, float]: Lut range, tuple(min, max) """ return 0.0, 255.0 class IColormapImageItemType(IItemType): """An image with an associated colormap""" class IExportROIImageItemType(IItemType): """An image with export_roi""" def export_roi( self, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], dst_image: np.ndarray, apply_lut: bool = False, apply_interpolation: bool = False, original_resolution: bool = False, force_interp_mode: str | None = None, force_interp_size: int | None = None, ) -> None: """ Export a rectangular area of the image to another image Args: src_rect: Source rectangle dst_rect: Destination rectangle dst_image: Destination image apply_lut: Apply lut (Default value = False) apply_interpolation: Apply interpolation (Default value = False) original_resolution: Original resolution (Default value = False) force_interp_mode: Force interpolation mode (Default value = None) force_interp_size: Force interpolation size (Default value = None) """ pass class ICSImageItemType(IItemType): """An image supporting X/Y cross sections""" def get_xsection(self, y0: float | int, apply_lut: bool = False) -> np.ndarray: """Return cross section along x-axis at y=y0 Args: y0: Y0 apply_lut: Apply lut (Default value = False) Returns: np.ndarray: Cross section along x-axis at y=y0 """ def get_ysection(self, x0: float | int, apply_lut: bool = False) -> np.ndarray: """Return cross section along y-axis at x=x0 Args: x0: X0 apply_lut: Apply lut (Default value = False) Returns: np.ndarray: Cross section along y-axis at x=x0 """ def get_average_xsection( self, x0: float, y0: float, x1: float, y1: float, apply_lut: bool = False ) -> np.ndarray: """Return average cross section along x-axis for the given rectangle Args: x0: X0 of top left corner y0: Y0 of top left corner x1: X1 of bottom right corner y1: Y1 of bottom right corner apply_lut: Apply lut (Default value = False) Returns: np.ndarray: Average cross section along x-axis """ def get_average_ysection( self, x0: float, y0: float, x1: float, y1: float, apply_lut: bool = False ) -> np.ndarray: """Return average cross section along y-axis Args: x0: X0 of top left corner y0: Y0 of top left corner x1: X1 of bottom right corner y1: Y1 of bottom right corner apply_lut: Apply lut (Default value = False) Returns: np.ndarray: Average cross section along y-axis """ class IShapeItemType(IItemType): """A shape (annotation)""" pass class ISerializableType(IItemType): """An item that can be serialized""" def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ class IBasePlotItem: """ This is the interface that QwtPlotItem objects must implement to be handled by *BasePlot* widgets """ selected = False # True if this item is selected _readonly = False _private = False _can_select = True # Indicate this item can be selected _can_move = True _can_resize = True _can_rotate = True _icon_name = "" # Icon name (e.g. "point.png") def get_icon_name(self) -> str: """Return the icon name Returns: Icon name """ return self._icon_name def set_icon_name(self, icon_name: str) -> None: """Set the icon name Args: icon_name: Icon name """ self._icon_name = icon_name def set_selectable(self, state: bool) -> None: """Set item selectable state Args: state: True if item is selectable, False otherwise """ self._can_select = state def set_resizable(self, state: bool) -> None: """Set item resizable state (or any action triggered when moving an handle, e.g. rotation) Args: state: True if item is resizable, False otherwise """ self._can_resize = state def set_movable(self, state: bool) -> None: """Set item movable state Args: state: True if item is movable, False otherwise """ self._can_move = state def set_rotatable(self, state: bool) -> None: """Set item rotatable state Args: state: True if item is rotatable, False otherwise """ self._can_rotate = state def can_select(self) -> bool: """ Returns True if this item can be selected Returns: bool: True if item can be selected, False otherwise """ return self._can_select def can_resize(self) -> bool: """ Returns True if this item can be resized Returns: bool: True if item can be resized, False otherwise """ return self._can_resize def can_move(self) -> bool: """ Returns True if this item can be moved Returns: bool: True if item can be moved, False otherwise """ return self._can_move def can_rotate(self) -> bool: """ Returns True if this item can be rotated Returns: bool: True if item can be rotated, False otherwise """ return self._can_rotate def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ def set_readonly(self, state: bool) -> None: """Set object readonly state Args: state: True if object is readonly, False otherwise """ self._readonly = state def is_readonly(self) -> bool: """Return object readonly state Returns: bool: True if object is readonly, False otherwise """ return self._readonly def set_private(self, state: bool) -> None: """Set object as private Args: state: True if object is private, False otherwise """ self._private = state def is_private(self) -> bool: """Return True if object is private Returns: bool: True if object is private, False otherwise """ return self._private def select(self) -> None: """ Select the object and eventually change its appearance to highlight the fact that it's selected """ # should call plot.invalidate() or replot to force redraw def unselect(self) -> None: """ Unselect the object and eventually restore its original appearance to highlight the fact that it's not selected anymore """ # should call plot.invalidate() or replot to force redraw def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ def move_local_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in canvas coordinates Args: old_pos: Old position new_pos: New position """ def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ class IBaseImageItem: """ QwtPlotItem image objects handled by *BasePlot* widgets must implement _both_ the IBasePlotItem interface and this one """ _can_sethistogram = False # A levels histogram will be bound to image def can_sethistogram(self) -> bool: """ Returns True if this item can be associated with a levels histogram Returns: bool: True if item can be associated with a levels histogram, False otherwise """ return self._can_sethistogram class IHistDataSource: def get_histogram( self, nbins: int, drange: tuple[float, float] | None = None ) -> tuple[np.ndarray, np.ndarray]: """ Return a tuple (hist, bins) where hist is a list of histogram values Args: nbins: number of bins drange: lower and upper range of the bins. If not provided, range is simply (data.min(), data.max()). Values outside the range are ignored. Returns: Tuple (hist, bins) Example of implementation: def get_histogram(self, nbins, drange=None): data = self.get_data() return np.histogram(data, bins=nbins, range=drange) """ pass PlotPyStack-PlotPy-2af0906/plotpy/interfaces/panel.py000066400000000000000000000006731525747167300226570ustar00rootroot00000000000000class IPanel: """Interface for panels controlled by PlotManager""" @staticmethod def __inherits__(): # Avoid circular import # pylint: disable=import-outside-toplevel from plotpy.panels import PanelWidget return PanelWidget def register_panel(self, manager): """Register panel to plot manager""" pass def configure_panel(self): """Configure panel""" pass PlotPyStack-PlotPy-2af0906/plotpy/interfaces/plotmanager.py000066400000000000000000000017631525747167300240720ustar00rootroot00000000000000class IPlotManager: """A 'controller' that organizes relations between plots (BasePlot), panels, tools (GuiTool) and toolbar """ def add_plot(self, plot, plot_id="default"): """ :param plot: :param plot_id: """ # Avoid circular import # pylint: disable=import-outside-toplevel from plotpy.plot.base import BasePlot assert id not in self.plots # pylint: disable=no-member assert isinstance(plot, BasePlot) def add_panel(self, panel): """ :param panel: """ assert id not in self.panels # pylint: disable=no-member def add_toolbar(self, toolbar, toolbar_id="default"): """ :param toolbar: :param toolbar_id: """ assert id not in self.toolbars # pylint: disable=no-member def get_active_plot(self): """The active plot is the plot whose canvas has the focus otherwise it's the "default" plot """ pass PlotPyStack-PlotPy-2af0906/plotpy/io.py000066400000000000000000000567521525747167300200550ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Input/Output helper functions ----------------------------- Overview ^^^^^^^^ The `io` module provides the following input/output helper functions: * :py:func:`.io.imread`: load an image (.png, .tiff, .dicom, etc.) and return its data as a NumPy array * :py:func:`.io.imwrite`: save an array to an image file * :py:func:`.io.load_items`: load plot items from HDF5 * :py:func:`.io.save_items`: save plot items to HDF5 Reference ^^^^^^^^^ .. autofunction:: imread .. autofunction:: imwrite .. autofunction:: load_items .. autofunction:: save_items """ from __future__ import annotations import logging import os.path as osp import re import sys from typing import TYPE_CHECKING, Any import numpy as np import PIL.Image import PIL.TiffImagePlugin # py2exe from plotpy.config import _ if TYPE_CHECKING: import guidata.io def scale_data_to_dtype(data: np.ndarray, dtype: np.dtype) -> np.ndarray: """Scale data to fit datatype dynamic range Args: data: data to scale dtype: target datatype Returns: scaled data .. warning:: This function modifies data in place """ info = np.iinfo(dtype) dmin = data.min() dmax = data.max() if dmax == dmin: # Constant data: avoid 0/0 division (which would yield NaN). Map every # sample to the dtype range minimum so downstream image rendering keeps # working instead of seeing NaNs. data = np.full_like(data, float(info.min)) return np.array(data, dtype) data -= dmin data = data * float(info.max - info.min) / (dmax - dmin) data = data + float(info.min) return np.array(data, dtype) # =============================================================================== # I/O File type definitions # =============================================================================== class FileType: """Filetype object: * `name` : description of filetype, * `read_func`, `write_func` : I/O callbacks, * `extensions`: filename extensions (with a dot!) or filenames, (list, tuple or space-separated string) * `data_types`: supported data types""" def __init__( self, name, extensions, read_func=None, write_func=None, data_types=None, requires_template=False, ): self.name = name if isinstance(extensions, str): extensions = extensions.split() self.extensions = [osp.splitext(" " + ext)[1] for ext in extensions] self.read_func = read_func self.write_func = write_func self.data_types = data_types self.requires_template = requires_template def matches(self, action, dtype, template): """Return True if file type matches passed data type and template (or if dtype is None)""" assert action in ("load", "save") matches = dtype is None or self.data_types is None or dtype in self.data_types if action == "save" and self.requires_template: matches = matches and template is not None return matches @property def wcards(self): """ :return: """ return "*" + (" *".join(self.extensions)) def filters(self, action, dtype, template): """ :param action: :param dtype: :param template: :return: """ assert action in ("load", "save") if self.matches(action, dtype, template): return f"\n{self.name} ({self.wcards})" else: return "" class ImageIOHandler: """I/O handler: regroup all FileType objects""" def __init__(self): self.filetypes = [] def allfilters(self, action, dtype, template): """ :param action: :param dtype: :param template: :return: """ wcards = " ".join( [ ftype.wcards for ftype in self.filetypes if ftype.matches(action, dtype, template) ] ) return "{} ({})".format(_("All supported files"), wcards) def get_filters(self, action, dtype=None, template=None): """Return file type filters for `action` (string: 'save' or 'load'), `dtype` data type (None: all data types), and `template` (True if save function requires a template (e.g. DICOM files), False otherwise)""" filters = self.allfilters(action, dtype, template) for ftype in self.filetypes: filters += ftype.filters(action, dtype, template) return filters def add( self, name, extensions, read_func=None, write_func=None, import_func=None, data_types=None, requires_template=None, ): """ :param name: :param extensions: :param read_func: :param write_func: :param import_func: :param data_types: :param requires_template: :return: """ if import_func is not None: try: import_func() except ImportError: return assert read_func is not None or write_func is not None ftype = FileType( name, extensions, read_func=read_func, write_func=write_func, data_types=data_types, requires_template=requires_template, ) self.filetypes.append(ftype) def _get_filetype(self, ext): """Return FileType object associated to file extension `ext`""" for ftype in self.filetypes: if ext.lower() in ftype.extensions: return ftype else: raise RuntimeError(f"Unsupported file type: '{ext}'") def get_readfunc(self, ext): """Return read function associated to file extension `ext`""" ftype = self._get_filetype(ext) if ftype.read_func is None: raise RuntimeError(f"Unsupported file type (read): '{ext}'") else: return ftype.read_func def get_writefunc(self, ext): """Return read function associated to file extension `ext`""" ftype = self._get_filetype(ext) if ftype.write_func is None: raise RuntimeError(f"Unsupported file type (write): '{ext}'") else: return ftype.write_func iohandler = ImageIOHandler() # ============================================================================== # tifffile-based Private I/O functions # ============================================================================== def _imread_tiff(filename): """Open a TIFF image and return a NumPy array""" try: import tifffile return tifffile.imread(filename) except ImportError: return _imread_pil(filename) def _imwrite_tiff(filename, arr): """Save a NumPy array to a TIFF file""" try: import tifffile return tifffile.imwrite(filename, arr) except ImportError: return _imwrite_pil(filename, arr) # ============================================================================== # PIL-based Private I/O functions # ============================================================================== if sys.byteorder == "little": _ENDIAN = "<" else: _ENDIAN = ">" DTYPES = { "1": ("|b1", None), "L": ("|u1", None), "I": ("%si4" % _ENDIAN, None), "F": ("%sf4" % _ENDIAN, None), "I;16": ("%su2" % _ENDIAN, None), "I;16B": ("%su2" % _ENDIAN, None), "I;16S": ("%si2" % _ENDIAN, None), "P": ("|u1", None), "RGB": ("|u1", 3), "RGBX": ("|u1", 4), "RGBA": ("|u1", 4), "CMYK": ("|u1", 4), "YCbCr": ("|u1", 4), } def _imread_pil(filename, to_grayscale=False, **kwargs): """Open image with PIL and return a NumPy array""" PIL.TiffImagePlugin.OPEN_INFO[(PIL.TiffImagePlugin.II, 0, 1, 1, (16,), ())] = ( "I;16", "I;16", ) with PIL.Image.open(filename) as img: base, ext = osp.splitext(filename) ext = ext.lower() if ext in [".tif", ".tiff"]: # try to know if multiple pages nb_pages = 0 while True: try: img.seek(nb_pages) nb_pages += 1 except EOFError: break if nb_pages > 1: for i in range(nb_pages): img.seek(i) filename = base filename += "_{i:d}".format(i=i) filename += ext img.save(filename) if nb_pages == 2: # possibility to be TIFF file with thumbnail and full image # --> try to load full image (second one) filename = base + "_{i:d}".format(i=1) + ext else: # we don't know which one must be loaded --> load first image filename = base + "_{i:d}".format(i=0) + ext with PIL.Image.open(filename) as img: if img.mode in ("CMYK", "YCbCr"): # Converting to RGB img = img.convert("RGB") if to_grayscale and img.mode in ("RGB", "RGBA", "RGBX"): # Converting to grayscale img = img.convert("L") elif "A" in img.mode or (img.mode == "P" and "transparency" in img.info): img = img.convert("RGBA") elif img.mode == "P": img = img.convert("RGB") try: dtype, extra = DTYPES[img.mode] except KeyError: raise RuntimeError(f"{img.mode} mode is not supported") shape = (img.size[1], img.size[0]) if extra is not None: shape += (extra,) try: return np.array(img, dtype=np.dtype(dtype)).reshape(shape) except SystemError: return np.array(img.getdata(), dtype=np.dtype(dtype)).reshape(shape) def _imwrite_pil(filename, arr): """Write `arr` NumPy array to `filename` using PIL""" for mode, (dtype_str, extra) in list(DTYPES.items()): if dtype_str == arr.dtype.str: if extra is None: # mode for grayscale images if len(arr.shape[2:]) > 0: continue # not suitable for RGB(A) images else: break # this is it! else: # mode for RGB(A) images if len(arr.shape[2:]) == 0: continue # not suitable for grayscale images elif arr.shape[-1] == extra: break # this is it! else: # F Chermette 2022 if arr.dtype.str == "%sf8" % _ENDIAN: arr = np.array(arr, dtype="f4") mode = "F" else: raise RuntimeError("Cannot determine PIL data type") img = PIL.Image.fromarray(arr, mode) img.save(filename) # ============================================================================== # DICOM Private I/O functions # ============================================================================== def _import_dcm(): """DICOM Import function (checking for required libraries): DICOM support requires library `pydicom`""" logger = logging.getLogger("pydicom") logger.setLevel(logging.CRITICAL) # This import statement must stay here because the purpose of this function # is to check if pydicom is installed: # pylint: disable=import-outside-toplevel # pylint: disable=import-error from pydicom import dcmread # type:ignore # noqa: F401 logger.setLevel(logging.WARNING) def _imread_dcm(filename, **kwargs): """Open DICOM image with pydicom and return a NumPy array""" # pylint: disable=import-outside-toplevel # pylint: disable=import-error from pydicom import dcmread # type:ignore dcm = dcmread(filename, force=True) # ********************************************************************** # The following is necessary until pydicom numpy support is improved: # (after that, a simple: 'arr = dcm.PixelArray' will work the same) format_str = "%sint%s" % (("u", "")[dcm.PixelRepresentation], dcm.BitsAllocated) try: dtype = np.dtype(format_str) except TypeError: raise TypeError( "Data type not understood by NumPy: " "PixelRepresentation=%d, BitsAllocated=%d" % (dcm.PixelRepresentation, dcm.BitsAllocated) ) arr = np.frombuffer(dcm.PixelData, dtype) try: # pydicom 0.9.3: dcm_is_little_endian = dcm.isLittleEndian except AttributeError: # pydicom 0.9.4: dcm_is_little_endian = dcm.is_little_endian if dcm_is_little_endian != (sys.byteorder == "little"): arr.byteswap(True) spp = getattr(dcm, "SamplesperPixel", 1) if hasattr(dcm, "NumberOfFrames") and dcm.NumberOfFrames > 1: if spp > 1: arr = arr.reshape(spp, dcm.NumberofFrames, dcm.Rows, dcm.Columns) else: arr = arr.reshape(dcm.NumberOfFrames, dcm.Rows, dcm.Columns) else: if spp > 1: if dcm.BitsAllocated == 8: arr = arr.reshape(spp, dcm.Rows, dcm.Columns) else: raise NotImplementedError( "This code only handles SamplesPerPixel > 1 if Bits Allocated = 8" ) else: arr = arr.reshape(dcm.Rows, dcm.Columns) # ********************************************************************** return arr def _imwrite_dcm(filename, arr, template=None): """Save a numpy array `arr` into a DICOM image file `filename` based on DICOM structure `template`""" # Note: due to IOHandler formalism, `template` has to be a keyword argument assert template is not None, ( "The `template` keyword argument is required to save DICOM files\n" "(that is the template DICOM structure object)" ) info = np.iinfo(arr.dtype) template.BitsAllocated = info.bits template.BitsStored = info.bits template.HighBit = info.bits - 1 template.PixelRepresentation = ("u", "i").index(info.kind) data_vr = ("US", "SS")[template.PixelRepresentation] template.Rows = arr.shape[0] template.Columns = arr.shape[1] template.SmallestImagePixelValue = int(arr.min()) template[0x00280106].VR = data_vr template.LargestImagePixelValue = int(arr.max()) template[0x00280107].VR = data_vr if not template.PhotometricInterpretation.startswith("MONOCHROME"): template.PhotometricInterpretation = "MONOCHROME1" template.PixelData = arr.tostring() template[0x7FE00010].VR = "OB" template.save_as(filename) # ============================================================================== # Text files Private I/O functions # ============================================================================== def _imread_txt(filename, **kwargs): """Open text file image and return a NumPy array""" for delimiter in ("\t", ",", " ", ";"): try: return np.loadtxt(filename, delimiter=delimiter) except ValueError: continue else: raise ValueError(f"Could not load {filename!r}") def _imwrite_txt(filename, arr): """Write `arr` NumPy array to text file `filename`""" if arr.dtype in (np.int8, np.uint8, np.int16, np.uint16, np.int32, np.uint32): fmt = "%d" else: fmt = "%.18e" ext = osp.splitext(filename)[1] if ext.lower() in (".txt", ".asc", ""): np.savetxt(filename, arr, fmt=fmt) elif ext.lower() == ".csv": np.savetxt(filename, arr, fmt=fmt, delimiter=",") # ============================================================================== # Registering I/O functions # ============================================================================== iohandler.add( _("PNG files"), "*.png", read_func=_imread_pil, write_func=_imwrite_pil, data_types=(np.uint8, np.uint16), ) iohandler.add( _("TIFF files"), "*.tif *.tiff", read_func=_imread_tiff, write_func=_imwrite_tiff ) iohandler.add( _("8-bit images"), "*.jpg *.gif", read_func=_imread_pil, write_func=_imwrite_pil, data_types=(np.uint8,), ) iohandler.add(_("NumPy arrays"), "*.npy", read_func=np.load, write_func=np.save) iohandler.add( _("Text files"), "*.txt *.csv *.asc", read_func=_imread_txt, write_func=_imwrite_txt ) iohandler.add( _("DICOM files"), "*.dcm", read_func=_imread_dcm, write_func=_imwrite_dcm, import_func=_import_dcm, data_types=(np.int8, np.uint8, np.int16, np.uint16), requires_template=True, ) # ============================================================================== # Generic image read/write functions # ============================================================================== def imread( fname: str, ext: str | None = None, to_grayscale: bool = False ) -> np.ndarray: """Read an image from a file as a NumPy array Args: fname: image filename ext: image file extension (if None, extension is guessed from filename) to_grayscale: convert RGB images to grayscale """ if not isinstance(fname, str): fname = str(fname) # in case filename is a QString instance if ext is None: _base, ext = osp.splitext(fname) arr = iohandler.get_readfunc(ext)(fname) dtype = arr.dtype if to_grayscale and arr.ndim == 3: # Converting to grayscale arr = arr[..., :4].mean(axis=2) arr = arr.astype(dtype) return arr else: return arr def imwrite( fname: str, arr: np.ndarray, ext: str | None = None, dtype: np.dtype | None = None, max_range: bool | None = None, **kwargs, ) -> None: """Write a NumPy array to an image file Args: fname: image filename arr: NumPy array ext: image file extension (if None, extension is guessed from filename) dtype: data type (if None, data type is guessed from array) max_range: scale data to fit dtype dynamic range kwargs: additional keyword arguments passed to the image writer .. warning:: If `max_range` is True, array data is modified in place """ if not isinstance(fname, str): fname = str(fname) # in case filename is a QString instance if ext is None: _base, ext = osp.splitext(fname) if max_range: arr = scale_data_to_dtype(arr, arr.dtype if dtype is None else dtype) iohandler.get_writefunc(ext)(fname, arr, **kwargs) # ============================================================================== # plotpy plot items I/O # ============================================================================== SERIALIZABLE_ITEMS = [] ITEM_MODULES = {} def register_serializable_items(modname, classnames): """Register serializable item from module name and class name""" global SERIALIZABLE_ITEMS, ITEM_MODULES SERIALIZABLE_ITEMS += classnames ITEM_MODULES[modname] = ITEM_MODULES.setdefault(modname, []) + classnames # Curves register_serializable_items( "plotpy.items", [ "CurveItem", "QuiverItem", "PolygonMapItem", "ErrorBarCurveItem", "RawImageItem", "ImageItem", "XYImageItem", "RGBImageItem", "TrImageItem", "MaskedImageItem", "MaskedXYImageItem", "Marker", "XRangeSelection", "YRangeSelection", "PolygonShape", "PointShape", "SegmentShape", "RectangleShape", "ObliqueRectangleShape", "EllipseShape", "Axes", "AnnotatedPoint", "AnnotatedSegment", "AnnotatedXRange", "AnnotatedYRange", "AnnotatedRectangle", "AnnotatedObliqueRectangle", "AnnotatedEllipse", "AnnotatedCircle", "AnnotatedPolygon", "LabelItem", "LegendBoxItem", "SelectedLegendBoxItem", ], ) def item_class_from_name(name: str) -> type[Any] | None: """Return plot item class from class name Args: name: plot item class name Returns: plot item class Raises: AssertionError: if class name is unknown (item is not serializable) """ global SERIALIZABLE_ITEMS, ITEM_MODULES assert name in SERIALIZABLE_ITEMS, "Unknown class %r" % name for modname, names in list(ITEM_MODULES.items()): if name in names: return getattr(__import__(modname, fromlist=[name]), name) def item_name_from_object(obj: Any) -> str | None: """Return plot item class name from instance Args: obj: plot item instance Returns: plot item class name """ return obj.__class__.__name__ def save_item( writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, group_name, item: Any, ) -> None: """Save plot item to HDF5, INI or JSON file Args: writer: HDF5, INI or JSON writer group_name: group name item: serializable plot item """ with writer.group(group_name): if item is None: writer.write_none() else: item.serialize(writer) with writer.group("item_class_name"): writer.write_str(item_name_from_object(item)) def load_item( reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, group_name, ) -> Any | None: """Load plot item from HDF5, INI or JSON file Args: reader: HDF5, INI or JSON reader group_name: group name Returns: Plot item instance """ with reader.group(group_name): with reader.group("item_class_name"): try: klass_name = reader.read_str() except ValueError: # None was saved instead of a real item return klass = item_class_from_name(klass_name) item = klass() item.deserialize(reader) return item def save_items( writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, items: list[Any], ) -> None: """Save items to HDF5, INI or JSON file Args: writer: HDF5, INI or JSON writer items: list of serializable plot items """ counts = {} names = [] def _get_name(item): basename = item_name_from_object(item) count = counts[basename] = counts.setdefault(basename, 0) + 1 name = "%s_%03d" % (basename, count) names.append(name.encode("utf-8")) return name for item in items: with writer.group(_get_name(item)): item.serialize(writer) writer.write(item.isVisible(), group_name="visible") with writer.group("plot_items"): writer.write_sequence(names) def load_items( reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> list[Any]: """Load items from HDF5, INI or JSON file Args: reader: HDF5, INI or JSON reader Returns: list of plot item instances """ with reader.group("plot_items"): names = reader.read_sequence() items = [] for name in names: try: name_str = name.decode() except AttributeError: name_str = name klass_name = re.match(r"([A-Z]+[A-Za-z0-9\_]*)\_([0-9]*)", name_str).groups()[0] klass = item_class_from_name(klass_name) item = klass() with reader.group(name): item.deserialize(reader) item.setVisible(reader.read("visible", default=True)) items.append(item) return items if __name__ == "__main__": # Test if items can all be constructed from their Python module for name in SERIALIZABLE_ITEMS: print(name, "-->", item_class_from_name(name)) PlotPyStack-PlotPy-2af0906/plotpy/items/000077500000000000000000000000001525747167300201765ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/items/__init__.py000066400000000000000000000031631525747167300223120ustar00rootroot00000000000000# -*- coding: utf-8 -*- # pylint: disable=unused-import # flake8: noqa from .annotation import ( AnnotatedCircle, AnnotatedEllipse, AnnotatedObliqueRectangle, AnnotatedPoint, AnnotatedRectangle, AnnotatedPolygon, AnnotatedSegment, AnnotatedXRange, AnnotatedYRange, AnnotatedShape, ) from .contour import ContourItem, create_contour_items from .curve import CurveItem, ErrorBarCurveItem from .grid import GridItem from .histogram import HistogramItem from .image import ( BaseImageItem, Histogram2DItem, ImageFilterItem, ImageItem, MaskedImageItem, MaskedXYImageItem, QuadGridItem, RawImageItem, RGBImageItem, TrImageItem, XYImageFilterItem, XYImageItem, assemble_imageitems, compute_image_items_original_size, compute_trimageitems_original_size, get_image_from_plot, get_image_from_qrect, get_image_in_shape, get_items_in_rectangle, get_plot_qrect, ) from .image.masked import MaskedArea, MaskedImageItem, MaskedXYImageItem from .label import ( AbstractLabelItem, DataInfoLabel, LabelItem, LegendBoxItem, ObjectInfo, RangeComputation, XRangeComputation, YRangeComputation, RangeComputation2d, RangeInfo, SelectedLegendBoxItem, ) from .polygonmap import PolygonMapItem from .quiver import QuiverItem from .shape import ( AbstractShape, Axes, CircleSVGShape, EllipseShape, Marker, ObliqueRectangleShape, PointShape, PolygonShape, RectangleShape, RectangleSVGShape, SegmentShape, SquareSVGShape, XRangeSelection, YRangeSelection, ) PlotPyStack-PlotPy-2af0906/plotpy/items/annotation.py000066400000000000000000001266201525747167300227310ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Annotations ----------- The :mod:`annotation` module provides annotated shape plot items. """ from __future__ import annotations from typing import TYPE_CHECKING, Callable import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from plotpy.config import CONF, _ from plotpy.coords import canvas_to_axes from plotpy.interfaces import IBasePlotItem, ISerializableType, IShapeItemType from plotpy.items.label import DataInfoLabel from plotpy.items.shape.base import AbstractShape from plotpy.items.shape.ellipse import EllipseShape from plotpy.items.shape.point import PointShape from plotpy.items.shape.polygon import PolygonShape from plotpy.items.shape.range import XRangeSelection, YRangeSelection from plotpy.items.shape.rectangle import ObliqueRectangleShape, RectangleShape from plotpy.items.shape.segment import SegmentShape from plotpy.mathutils.geometry import ( compute_angle, compute_center, compute_distance, compute_rect_size, ) from plotpy.styles.label import LabelParam from plotpy.styles.shape import AnnotationParam if TYPE_CHECKING: import guidata.io import qwt.scale_map from qtpy.QtCore import QPointF, QRectF from qtpy.QtGui import QPainter from plotpy.interfaces import IItemType from plotpy.styles.base import ItemParameters class AnnotatedShape(AbstractShape): """ Construct an annotated shape with properties set with *annotationparam* (see :py:class:`.styles.AnnotationParam`) Args: annotationparam: Annotation parameters """ __implements__ = (IBasePlotItem, ISerializableType) _icon_name = "annotation.png" SHAPE_CLASS: type[AbstractShape] = RectangleShape # to be overridden LABEL_ANCHOR: str = "" def __init__( self, annotationparam: AnnotationParam | None = None, info_callback: Callable[[AnnotatedShape], str] | None = None, ) -> None: super().__init__() assert self.LABEL_ANCHOR is not None and len(self.LABEL_ANCHOR) != 0 if info_callback is None: def info_callback(annotation: AnnotatedShape) -> str: """Return information on annotation""" return annotation.get_info() self.info_callback = info_callback self.shape: AbstractShape = self.create_shape() self.label = self.create_label() self.area_computations_visible = True self.subtitle_visible = True if annotationparam is None: self.annotationparam = AnnotationParam( _("Annotation"), icon="annotation.png" ) else: self.annotationparam = annotationparam self.annotationparam.update_item(self) def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (IShapeItemType, ISerializableType) def __reduce__(self) -> tuple[type, tuple, tuple]: """Return a tuple for pickling""" self.annotationparam.update_param(self) state = (self.shape, self.label, self.annotationparam) return (self.__class__, (), state) def __setstate__(self, state: tuple) -> None: """Set state after unpickling""" shape, label, param = state self.shape = shape self.label = label self.annotationparam: AnnotationParam = param self.annotationparam.update_item(self) def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ writer.write(self.annotationparam, group_name="annotationparam") self.shape.serialize(writer) self.label.serialize(writer) def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ self.annotationparam = AnnotationParam(_("Annotation"), icon="annotation.png") reader.read("annotationparam", instance=self.annotationparam) self.annotationparam.update_item(self) self.shape.deserialize(reader) self.label.deserialize(reader) def set_style(self, section: str, option: str) -> None: """Set style for this item Args: section: Section option: Option """ self.shape.set_style(section, option) # ----QwtPlotItem API-------------------------------------------------------- def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ self.shape.draw(painter, xMap, yMap, canvasRect) if self.label.isVisible(): self.label.draw(painter, xMap, yMap, canvasRect) # ----AbstractShape API------------------------------------------------------ def set_readonly(self, state: bool) -> None: """Set object readonly state Args: state: True if object is readonly, False otherwise """ super().set_readonly(state) self.shape.set_readonly(state) # ----Public API------------------------------------------------------------- def create_shape(self): """Return the shape object associated to this annotated shape object""" shape = self.SHAPE_CLASS(0, 0, 1, 1) # pylint: disable=not-callable return shape def create_label(self) -> DataInfoLabel: """Return the label object associated to this annotated shape object Returns: Label object """ label_param = LabelParam(_("Label"), icon="label.png") label_param.read_config(CONF, "plot", "shape/label") label_param.anchor = self.LABEL_ANCHOR if self.LABEL_ANCHOR == "C": label_param.xc = label_param.yc = 0 return DataInfoLabel(label_param, [self]) def is_label_visible(self) -> bool: """Return True if associated label is visible Returns: True if associated label is visible """ return self.label.isVisible() def set_label_visible(self, state: bool) -> None: """Set the annotated shape's label visibility Args: state: True if label should be visible """ self.label.setVisible(state) def update_label(self) -> None: """Update the annotated shape's label contents""" self.label.update_text() def set_info_callback(self, callback: Callable[[AnnotatedShape], str]) -> None: """Set the callback function to get informations on current shape Args: callback: Callback function to get informations on current shape """ self.info_callback = callback def get_text(self) -> str: """Return text associated to current shape (see :py:class:`.label.ObjectInfo`) Returns: Text associated to current shape """ text = "" title = self.title().text() if title: text += f"{title}" subtitle = self.annotationparam.subtitle if subtitle and self.subtitle_visible: if text: text += "
" text += f"{subtitle}" if self.area_computations_visible: info = self.info_callback(self) if info: if text: text += "
" text += info return text def x_to_str(self, x: float) -> str: """Convert x to a string (with associated unit and uncertainty) Args: x: X value Returns: str: Formatted string with x value """ param = self.annotationparam if self.plot() is None: return "" else: xunit = self.plot().get_axis_unit(self.xAxis()) fmt = param.format if param.uncertainty: fmt += " ยฑ " + (fmt % (x * param.uncertainty)) if xunit is not None: return (fmt + " " + xunit) % x else: return (fmt) % x def y_to_str(self, y): """Convert y to a string (with associated unit and uncertainty) Args: y: Y value Returns: str: Formatted string with x value """ param = self.annotationparam if self.plot() is None: return "" else: yunit = self.plot().get_axis_unit(self.yAxis()) fmt = param.format if param.uncertainty: fmt += " ยฑ " + (fmt % (y * param.uncertainty)) if yunit is not None: return (fmt + " " + yunit) % y else: return (fmt) % y def get_center(self): """Return shape center coordinates: (xc, yc)""" return self.shape.get_center() def get_tr_center(self): """Return shape center coordinates after applying transform matrix""" raise NotImplementedError def get_tr_center_str(self): """Return center coordinates as a string (with units)""" xc, yc = self.get_tr_center() return f"( {self.x_to_str(xc)} ; {self.y_to_str(yc)} )" def get_tr_size(self): """Return shape size after applying transform matrix""" raise NotImplementedError def get_tr_size_str(self): """Return size as a string (with units)""" xs, ys = self.get_tr_size() return f"{self.x_to_str(xs)} x {self.y_to_str(ys)}" def get_info(self) -> str: """Get informations on current shape Returns: str: Formatted string with informations on current shape """ return "" def set_label_position(self): """Set label position, for instance based on shape position""" raise NotImplementedError def apply_transform_matrix(self, x, y): """ :param x: :param y: :return: """ V = np.array([x, y, 1.0]) W = np.dot(V, self.annotationparam.transform_matrix) return W[0], W[1] def get_transformed_coords(self, handle1, handle2): """ :param handle1: :param handle2: :return: """ x1, y1 = self.apply_transform_matrix(*self.shape.points[handle1]) x2, y2 = self.apply_transform_matrix(*self.shape.points[handle2]) return x1, y1, x2, y2 # ----IBasePlotItem API------------------------------------------------------ def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ return self.shape.poly_hit_test(self.plot(), self.xAxis(), self.yAxis(), pos) def move_point_to( self, handle: int, pos: tuple[float, float], ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ self.shape.move_point_to(handle, pos, ctrl) self.set_label_position() if self.plot(): self.plot().SIG_ANNOTATION_CHANGED.emit(self) def move_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in axis coordinates Args: old_pos: Old position new_pos: New position """ self.shape.move_shape(old_pos, new_pos) self.label.move_local_shape(old_pos, new_pos) def move_local_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in canvas coordinates Args: old_pos: Old position new_pos: New position """ old_pt = canvas_to_axes(self, old_pos) new_pt = canvas_to_axes(self, new_pos) self.shape.move_shape(old_pt, new_pt) self.set_label_position() if self.plot(): self.plot().SIG_ITEM_MOVED.emit(self, *(old_pt + new_pt)) self.plot().SIG_ANNOTATION_CHANGED.emit(self) def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ self.shape.move_with_selection(delta_x, delta_y) self.label.move_with_selection(delta_x, delta_y) self.plot().SIG_ANNOTATION_CHANGED.emit(self) def select(self) -> None: """ Select the object and eventually change its appearance to highlight the fact that it's selected """ AbstractShape.select(self) self.shape.select() def unselect(self) -> None: """ Unselect the object and eventually restore its original appearance to highlight the fact that it's not selected anymore """ AbstractShape.unselect(self) self.shape.unselect() def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ self.shape.get_item_parameters(itemparams) self.label.get_item_parameters(itemparams) self.annotationparam.update_param(self) itemparams.add("AnnotationParam", self, self.annotationparam) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ self.shape.set_item_parameters(itemparams) self.label.set_item_parameters(itemparams) update_dataset( self.annotationparam, itemparams.get("AnnotationParam"), visible_only=True ) self.annotationparam.update_item(self) self.plot().SIG_ANNOTATION_CHANGED.emit(self) # Autoscalable types API def is_empty(self) -> bool: """Return True if the item is empty Returns: True if the item is empty, False otherwise """ return self.shape.is_empty() def boundingRect(self) -> QRectF: """Return the bounding rectangle of the shape Returns: Bounding rectangle of the shape """ return self.shape.boundingRect() assert_interfaces_valid(AnnotatedShape) class AnnotatedPoint(AnnotatedShape): """ Construct an annotated point at coordinates (x, y) with properties set with *annotationparam* (see :py:class:`.styles.AnnotationParam`) """ _icon_name = "point_shape.png" SHAPE_CLASS = PointShape LABEL_ANCHOR = "TL" def __init__( self, x=0, y=0, annotationparam: AnnotationParam | None = None, info_callback: Callable[[AnnotatedShape], str] | None = None, ) -> None: super().__init__(annotationparam, info_callback) self.shape: PointShape self.set_pos(x, y) # ----Public API------------------------------------------------------------- def set_pos(self, x, y): """Set the point coordinates to (x, y)""" self.shape.set_pos(x, y) self.set_label_position() def get_pos(self): """Return the point coordinates""" return self.shape.get_pos() # ----AnnotatedShape API----------------------------------------------------- def create_shape(self): """Return the shape object associated to this annotated shape object""" shape = self.SHAPE_CLASS(0, 0) return shape def set_label_position(self): """Set label position, for instance based on shape position""" x, y = self.shape.points[0] self.label.set_pos(x, y) # ----AnnotatedShape API----------------------------------------------------- def get_tr_position(self): xt, yt = self.apply_transform_matrix(*self.shape.points[0]) return xt, yt def get_info(self) -> str: """Get informations on current shape Returns: str: Formatted string with informations on current shape """ xt, yt = self.apply_transform_matrix(*self.shape.points[0]) s = "{title} ( {posx} ; {posy} )" s = s.format( title=_("Position:"), posx=self.x_to_str(xt), posy=self.y_to_str(yt) ) return s class AnnotatedSegment(AnnotatedShape): """ Construct an annotated segment between coordinates (x1, y1) and (x2, y2) with properties set with *annotationparam* (see :py:class:`.styles.AnnotationParam`) """ _icon_name = "segment.png" SHAPE_CLASS = SegmentShape LABEL_ANCHOR = "C" def __init__( self, x1=0, y1=0, x2=0, y2=0, annotationparam: AnnotationParam | None = None, info_callback: Callable[[AnnotatedShape], str] | None = None, ) -> None: super().__init__(annotationparam, info_callback) self.shape: SegmentShape self.set_rect(x1, y1, x2, y2) # ----Public API------------------------------------------------------------- def set_rect(self, x1, y1, x2, y2): """ Set the coordinates of the shape's top-left corner to (x1, y1), and of its bottom-right corner to (x2, y2). """ self.shape.set_rect(x1, y1, x2, y2) self.set_label_position() def get_rect(self): """ Return the coordinates of the shape's top-left and bottom-right corners """ return self.shape.get_rect() def get_tr_length(self): """Return segment length after applying transform matrix""" return compute_distance(*self.get_transformed_coords(0, 1)) def get_tr_center(self): """Return segment position (middle) after applying transform matrix""" return compute_center(*self.get_transformed_coords(0, 1)) def get_tr_angle(self): """Return segment angle with horizontal direction (0ยฐ to 180ยฐ), after applying transform matrix""" xcoords = self.get_transformed_coords(0, 1) _x, yr1 = self.apply_transform_matrix(1.0, 1.0) _x, yr2 = self.apply_transform_matrix(1.0, 2.0) return (compute_angle(*xcoords, reverse=yr1 > yr2) + 180) % 180 # ----AnnotatedShape API----------------------------------------------------- def set_label_position(self): """Set label position, for instance based on shape position""" x1, y1, x2, y2 = self.get_rect() self.label.set_pos(*compute_center(x1, y1, x2, y2)) # ----AnnotatedShape API----------------------------------------------------- def get_info(self) -> str: """Get informations on current shape Returns: str: Formatted string with informations on current shape """ return "
".join( [ _("Center:") + " " + self.get_tr_center_str(), _("Distance:") + " " + self.x_to_str(self.get_tr_length()), _("Angle:") + f" {self.get_tr_angle():.1f}ยฐ", ] ) class BaseAnnotatedRangeSelection(AnnotatedShape): """ Construct an annotated range selection with properties set with *annotationparam* (see :py:class:`.styles.AnnotationParam`) Args: annotationparam: Annotation parameters info_callback: Callback to get information on the shape """ _icon_name = "" # to be overridden SHAPE_CLASS: type[AbstractShape] = XRangeSelection # to be overridden def __init__( self, _min: float | None = None, _max: float | None = None, annotationparam: AnnotationParam | None = None, info_callback: Callable[[AnnotatedShape], str] | None = None, ) -> None: super().__init__(annotationparam, info_callback) self.shape: XRangeSelection | YRangeSelection self.shape.set_private(True) self.set_range(_min, _max) # ----Public API------------------------------------------------------------- def set_range(self, _min: float | None, _max: float | None) -> None: """Set the range selection coordinates Args: _min: Minimum value _max: Maximum value """ self.shape.set_range(_min, _max) self.set_label_position() def get_range(self) -> tuple[float, float]: """Return the range selection coordinates Returns: Range selection coordinates as a tuple (min, max) """ return self.shape.get_range() def get_tr_range(self) -> float: """Return the range selection length after applying transform matrix Returns: Range selection length after applying transform matrix """ return compute_distance(*self.get_transformed_coords(0, 1)) def get_tr_center(self) -> float: """Return the range selection position (middle) after applying transform matrix Returns: Range selection position (middle) after applying transform matrix """ center = compute_center(*self.get_transformed_coords(0, 1)) if isinstance(self.shape, XRangeSelection): return center[0] return center[1] # pylint: disable=unused-argument def get_transformed_coords(self, handle1, handle2): """ :param handle1: :param handle2: :return: """ x1, x2 = self.get_range() y1 = y2 = 0.0 if isinstance(self.shape, YRangeSelection): x1, x2, y1, y2 = y1, y2, x1, x2 x1, y1 = self.apply_transform_matrix(x1, y1) x2, y2 = self.apply_transform_matrix(x2, y2) return x1, y1, x2, y2 # ----AnnotatedShape API----------------------------------------------------- def create_shape(self): """Return the shape object associated to this annotated shape object""" shape = self.SHAPE_CLASS(0, 0) return shape def get_info(self) -> str: """Get informations on current shape Returns: str: Formatted string with informations on current shape """ coord_str = "x" if isinstance(self.shape, XRangeSelection) else "y" c, r = self.get_tr_center(), self.get_tr_range() center_val = self.x_to_str(c) range_val = self.x_to_str(r) lower_val = self.x_to_str(c - 0.5 * r) upper_val = self.x_to_str(c + 0.5 * r) return "
".join( [ f"{coord_str}C = {center_val}", f"{coord_str}MIN = {lower_val}", f"{coord_str}MAX = {upper_val}", f"ฮ”{coord_str} = {range_val}", ] ) # ----IBasePlotItem API------------------------------------------------------ def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ return self.shape.hit_test(pos) # ----QwtPlotItem API-------------------------------------------------------- def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ self.set_label_position() super().draw(painter, xMap, yMap, canvasRect) def attach(self, plot): """ Attach the item to a plot. This method will attach a `QwtPlotItem` to the `QwtPlot` argument. It will first detach the `QwtPlotItem` from any plot from a previous call to attach (if necessary). If a None argument is passed, it will detach from any `QwtPlot` it was attached to. :param qwt.plot.QwtPlot plot: Plot widget .. seealso:: :py:meth:`detach()` """ super().attach(plot) self.shape.attach(plot) self.set_label_position() class AnnotatedXRange(BaseAnnotatedRangeSelection): """ Construct an annotated X range selection with properties set with *annotationparam* (see :py:class:`.styles.AnnotationParam`) Args: _min: Minimum value _max: Maximum value annotationparam: Annotation parameters info_callback: Callback to get information on the shape """ _icon_name = "xrange.png" SHAPE_CLASS = XRangeSelection LABEL_ANCHOR = "C" def __init__( self, _min: float | None = None, _max: float | None = None, annotationparam: AnnotationParam | None = None, info_callback: Callable[[AnnotatedShape], str] | None = None, ) -> None: super().__init__(_min, _max, annotationparam, info_callback) # ----AnnotatedShape API----------------------------------------------------- def set_label_position(self) -> None: """Set label position, for instance based on shape position""" plot = self.plot() if plot is not None: x0, x1, y = self.shape.get_handles_pos() x = 0.5 * (x0 + x1) x = plot.invTransform(self.xAxis(), x) y = plot.invTransform(self.yAxis(), y) self.label.set_pos(x, y) class AnnotatedYRange(BaseAnnotatedRangeSelection): """ Construct an annotated Y range selection with properties set with *annotationparam* (see :py:class:`.styles.AnnotationParam`) Args: _min: Minimum value _max: Maximum value annotationparam: Annotation parameters info_callback: Callback to get information on the shape """ _icon_name = "yrange.png" SHAPE_CLASS = YRangeSelection LABEL_ANCHOR = "C" def __init__( self, _min: float | None = None, _max: float | None = None, annotationparam: AnnotationParam | None = None, info_callback: Callable[[AnnotatedShape], str] | None = None, ) -> None: super().__init__(_min, _max, annotationparam, info_callback) # ----AnnotatedShape API----------------------------------------------------- def set_label_position(self) -> None: """Set label position, for instance based on shape position""" plot = self.plot() if plot is not None: y0, y1, x = self.shape.get_handles_pos() y = 0.5 * (y0 + y1) x = plot.invTransform(self.xAxis(), x) y = plot.invTransform(self.yAxis(), y) self.label.set_pos(x, y) class AnnotatedPolygon(AnnotatedShape): """ Construct an annotated polygon with properties set with *annotationparam* (see :py:class:`.styles.AnnotationParam`) Args: points: List of points closed: True if polygon is closed annotationparam: Annotation parameters """ _icon_name = "polygon.png" SHAPE_CLASS = PolygonShape LABEL_ANCHOR = "C" def __init__( self, points: list[tuple[float, float]] | None = None, closed: bool | None = None, annotationparam: AnnotationParam | None = None, info_callback: Callable[[AnnotatedShape], str] | None = None, ) -> None: super().__init__(annotationparam, info_callback) self.shape: PolygonShape if points is not None: self.set_points(points) if closed is not None: self.set_closed(closed) # ----Public API------------------------------------------------------------- def set_points(self, points: list[tuple[float, float]] | np.ndarray | None) -> None: """Set the polygon points Args: points: List of point coordinates """ self.shape.set_points(points) self.set_label_position() def get_points(self) -> np.ndarray: """Return polygon points Returns: Polygon points (array of shape (N, 2)) """ return self.shape.get_points() def set_closed(self, state: bool) -> None: """Set closed state Args: state: True if the polygon is closed, False otherwise """ self.shape.set_closed(state) def is_closed(self) -> bool: """Return True if the polygon is closed, False otherwise Returns: True if the polygon is closed, False otherwise """ return self.shape.is_closed() def is_empty(self) -> bool: """Return True if the item is empty Returns: True if the item is empty, False otherwise """ return self.shape.is_empty() def add_local_point(self, pos: tuple[float, float]) -> int: """Add a point in canvas coordinates (local coordinates) Args: pos: Position Returns: Handle of the added point """ pt = canvas_to_axes(self, pos) return self.add_point(pt) def add_point(self, pt: tuple[float, float]) -> int: """Add a point in axis coordinates Args: pt: Position Returns: Handle of the added point """ handle = self.shape.add_point(pt) self.set_label_position() return handle def del_point(self, handle: int) -> int: """Delete a point Args: handle: Handle Returns: Handle of the deleted point """ handle = self.shape.del_point(handle) self.set_label_position() return handle def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ pt = canvas_to_axes(self, pos) self.move_point_to(handle, pt) def move_shape( self, old_pos: tuple[float, float], new_pos: tuple[float, float] ) -> None: """Translate the shape such that old_pos becomes new_pos in axis coordinates Args: old_pos: Old position new_pos: New position """ self.shape.move_shape(old_pos, new_pos) self.set_label_position() # ----AnnotatedShape API----------------------------------------------------- def create_shape(self): """Return the shape object associated to this annotated shape object""" shape = self.SHAPE_CLASS() # pylint: disable=not-callable return shape def set_label_position(self) -> None: """Set label position, for instance based on shape position""" x, y = self.shape.get_center() self.label.set_pos(x, y) def get_tr_center(self) -> tuple[float, float]: """Return shape center coordinates after applying transform matrix""" return self.shape.get_center() def get_info(self) -> str: """Get informations on current shape Returns: str: Formatted string with informations on current shape """ return "
".join( [ _("Center:") + " " + self.get_tr_center_str(), ] ) class AnnotatedRectangle(AnnotatedShape): """ Construct an annotated rectangle between coordinates (x1, y1) and (x2, y2) with properties set with *annotationparam* (see :py:class:`.styles.AnnotationParam`) """ _icon_name = "rectangle.png" SHAPE_CLASS = RectangleShape LABEL_ANCHOR = "TL" def __init__( self, x1=0, y1=0, x2=0, y2=0, annotationparam: AnnotationParam | None = None, info_callback: Callable[[AnnotatedShape], str] | None = None, ) -> None: super().__init__(annotationparam, info_callback) self.shape: RectangleShape self.set_rect(x1, y1, x2, y2) # ----Public API------------------------------------------------------------- def set_rect(self, x1, y1, x2, y2): """ Set the coordinates of the shape's top-left corner to (x1, y1), and of its bottom-right corner to (x2, y2). """ self.shape.set_rect(x1, y1, x2, y2) self.set_label_position() def get_rect(self) -> tuple[float, float, float, float]: """ Return the coordinates of the shape's top-left and bottom-right corners """ return self.shape.get_rect() # ----AnnotatedShape API----------------------------------------------------- def set_label_position(self): """Set label position, for instance based on shape position""" x_label, y_label = self.shape.points.min(axis=0) self.label.set_pos(x_label, y_label) def get_tr_center(self): """Return shape center coordinates after applying transform matrix""" return compute_center(*self.get_transformed_coords(0, 2)) def get_tr_size(self): """Return shape size after applying transform matrix""" return compute_rect_size(*self.get_transformed_coords(0, 2)) def get_info(self) -> str: """Get informations on current shape Returns: str: Formatted string with informations on current shape """ return "
".join( [ _("Center:") + " " + self.get_tr_center_str(), _("Size:") + " " + self.get_tr_size_str(), ] ) class AnnotatedObliqueRectangle(AnnotatedRectangle): """ Construct an annotated oblique rectangle between coordinates (x0, y0), (x1, y1), (x2, y2) and (x3, y3) with properties set with *annotationparam* (see :py:class:`.styles.AnnotationParam`) """ _icon_name = "oblique_rectangle.png" SHAPE_CLASS = ObliqueRectangleShape LABEL_ANCHOR = "C" def __init__( self, x0=0, y0=0, x1=0, y1=0, x2=0, y2=0, x3=0, y3=0, annotationparam=None ): AnnotatedShape.__init__(self, annotationparam) self.shape: ObliqueRectangleShape self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3) # ----Public API------------------------------------------------------------- def get_tr_angle(self): """Return X-diameter angle with horizontal direction (0ยฐ to 180ยฐ), after applying transform matrix""" xcoords = self.get_transformed_coords(0, 1) _x, yr1 = self.apply_transform_matrix(1.0, 1.0) _x, yr2 = self.apply_transform_matrix(1.0, 2.0) return (compute_angle(*xcoords, reverse=yr1 > yr2) + 180) % 180 def get_bounding_rect_coords(self) -> tuple[float, float, float, float]: """Return bounding rectangle coordinates (in plot coordinates) Returns: Bounding rectangle coordinates (in plot coordinates) """ return self.shape.get_bounding_rect_coords() # ----AnnotatedShape API----------------------------------------------------- def create_shape(self): """Return the shape object associated to this annotated shape object""" shape = self.SHAPE_CLASS(0, 0, 0, 0, 0, 0, 0, 0) return shape # ----AnnotatedShape API----------------------------------------------------- def set_label_position(self): """Set label position, for instance based on shape position""" self.label.set_pos(*self.get_center()) # ----RectangleShape API----------------------------------------------------- def set_rect(self, x0, y0, x1, y1, x2, y2, x3, y3): """ Set the rectangle corners coordinates: (x0, y0): top-left corner (x1, y1): top-right corner (x2, y2): bottom-right corner (x3, y3): bottom-left corner :: x: additionnal points (x0, y0)------>(x1, y1) โ†‘ | | | x x | | | โ†“ (x3, y3)<------(x2, y2) """ self.shape.set_rect(x0, y0, x1, y1, x2, y2, x3, y3) self.set_label_position() def get_tr_size(self): """Return shape size after applying transform matrix""" dx = compute_distance(*self.get_transformed_coords(0, 1)) dy = compute_distance(*self.get_transformed_coords(0, 3)) return dx, dy # ----AnnotatedShape API----------------------------------------------------- def get_info(self) -> str: """Get informations on current shape Returns: str: Formatted string with informations on current shape """ return "
".join( [ _("Center:") + " " + self.get_tr_center_str(), _("Size:") + " " + self.get_tr_size_str(), _("Angle:") + " %.1fยฐ" % self.get_tr_angle(), ] ) def get_tr_center(self): x0, y0, x2, y2 = self.get_transformed_coords(0, 2) return compute_center(x0, y0, x2, y2) class AnnotatedEllipse(AnnotatedShape): """ Construct an annotated ellipse with X-axis diameter between coordinates (x1, y1) and (x2, y2) and properties set with *annotationparam* (see :py:class:`.styles.AnnotationParam`) """ _icon_name = "ellipse_shape.png" SHAPE_CLASS = EllipseShape LABEL_ANCHOR = "C" def __init__( self, x1=0, y1=0, x2=0, y2=0, annotationparam: AnnotationParam | None = None, info_callback: Callable[[AnnotatedShape], str] | None = None, ) -> None: super().__init__(annotationparam, info_callback) self.shape: EllipseShape self.set_xdiameter(x1, y1, x2, y2) self.switch_to_ellipse() # ----Public API------------------------------------------------------------- def switch_to_ellipse(self): """Switch to ellipse mode""" self.shape.switch_to_ellipse() def switch_to_circle(self): """Switch to circle mode""" self.shape.switch_to_circle() def set_xdiameter(self, x0, y0, x1, y1): """Set the coordinates of the ellipse's X-axis diameter Warning: transform matrix is not applied here""" self.shape.set_xdiameter(x0, y0, x1, y1) self.set_label_position() def get_xdiameter(self): """Return the coordinates of the ellipse's X-axis diameter Warning: transform matrix is not applied here""" return self.shape.get_xdiameter() def set_ydiameter(self, x2, y2, x3, y3): """Set the coordinates of the ellipse's Y-axis diameter Warning: transform matrix is not applied here""" self.shape.set_ydiameter(x2, y2, x3, y3) self.set_label_position() def get_ydiameter(self): """Return the coordinates of the ellipse's Y-axis diameter Warning: transform matrix is not applied here""" return self.shape.get_ydiameter() def get_rect(self): """ :return: """ return self.shape.get_rect() def set_rect(self, x0, y0, x1, y1): """ :param x0: :param y0: :param x1: :param y1: """ raise NotImplementedError def get_tr_angle(self): """Return X-diameter angle with horizontal direction (0ยฐ to 180ยฐ), after applying transform matrix""" xcoords = self.get_transformed_coords(0, 1) _x, yr1 = self.apply_transform_matrix(1.0, 1.0) _x, yr2 = self.apply_transform_matrix(1.0, 2.0) return (compute_angle(*xcoords, reverse=yr1 > yr2) + 180) % 180 # ----AnnotatedShape API----------------------------------------------------- def set_label_position(self): """Set label position, for instance based on shape position""" x_label, y_label = self.shape.points.mean(axis=0) self.label.set_pos(x_label, y_label) def get_tr_center(self): """Return center coordinates: (xc, yc)""" return compute_center(*self.get_transformed_coords(0, 1)) def get_tr_size(self): """Return shape size after applying transform matrix""" xcoords = self.get_transformed_coords(0, 1) ycoords = self.get_transformed_coords(2, 3) dx = compute_distance(*xcoords) dy = compute_distance(*ycoords) if np.fabs(self.get_tr_angle()) > 45: dx, dy = dy, dx return dx, dy def get_info(self) -> str: """Get informations on current shape Returns: str: Formatted string with informations on current shape """ return "
".join( [ _("Center:") + " " + self.get_tr_center_str(), _("Size:") + " " + self.get_tr_size_str(), _("Angle:") + f" {self.get_tr_angle():.1f}ยฐ", ] ) class AnnotatedCircle(AnnotatedEllipse): """ Construct an annotated circle with diameter between coordinates (x1, y1) and (x2, y2) and properties set with *annotationparam* (see :py:class:`.styles.AnnotationParam`) """ def __init__(self, x1=0, y1=0, x2=0, y2=0, annotationparam=None): AnnotatedEllipse.__init__(self, x1, y1, x2, y2, annotationparam) self.shape.switch_to_circle() def get_tr_diameter(self): """Return circle diameter after applying transform matrix""" return compute_distance(*self.get_transformed_coords(0, 1)) # ----AnnotatedShape API------------------------------------------------- def get_info(self) -> str: """Get informations on current shape Returns: str: Formatted string with informations on current shape """ return "
".join( [ _("Center:") + " " + self.get_tr_center_str(), _("Diameter:") + " " + self.x_to_str(self.get_tr_diameter()), ] ) # ----AnnotatedEllipse API--------------------------------------------------- def set_rect(self, x0, y0, x1, y1): """ :param x0: :param y0: :param x1: :param y1: """ self.shape.set_rect(x0, y0, x1, y1) PlotPyStack-PlotPy-2af0906/plotpy/items/contour.py000066400000000000000000000137061525747167300222500ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Contours ======== This module provides functions and classes to create contour curves. .. autoclass:: ContourLine :members: .. autofunction:: compute_contours .. autoclass:: ContourItem :members: .. autofunction:: create_contour_items """ from __future__ import annotations import guidata.dataset as gds import numpy as np from guidata.utils.misc import assert_interfaces_valid from skimage import measure from plotpy.config import _ from plotpy.items.shape.polygon import PolygonShape from plotpy.styles import COLORS, ShapeParam class ContourLine(gds.DataSet): """A contour line""" vertices = gds.FloatArrayItem(_("Vertices"), help=_("Vertices of the line")) level = gds.FloatItem(_("Level"), help=_("Level of the line")) def compute_contours( Z: np.ndarray, levels: float | np.ndarray, X: np.ndarray | None = None, Y: np.ndarray | None = None, ) -> list[ContourLine]: """Create contour curves Args: Z: The height values over which the contour is drawn. levels : Determines the number and positions of the contour lines/regions. If a float, draw contour lines at this specified levels If array-like, draw contour lines at the specified levels. The values must be in increasing order. X: The coordinates of the values in *Z*. *X* must be 2-D with the same shape as *Z* (e.g. created via ``numpy.meshgrid``), or it must both be 1-D such that ``len(X) == M`` is the number of columns in *Z*. If none, they are assumed to be integer indices, i.e. ``X = range(M)``. Y: The coordinates of the values in *Z*. *Y* must be 2-D with the same shape as *Z* (e.g. created via ``numpy.meshgrid``), or it must both be 1-D such that ``len(Y) == N`` is the number of rows in *Z*. If none, they are assumed to be integer indices, i.e. ``Y = range(N)``. Returns: A list of :py:class:`ContourLine` instances. """ z = np.asarray(Z, dtype=np.float64) if z.ndim != 2: raise TypeError("Input z must be a 2D array.") elif z.shape[0] < 2 or z.shape[1] < 2: raise TypeError("Input z must be at least a 2x2 array.") if isinstance(levels, np.ndarray): levels = np.asarray(levels, dtype=np.float64) else: levels = np.asarray([levels], dtype=np.float64) if X is None: delta_x, x_origin = 1.0, 0.0 else: delta_x, x_origin = X[0, 1] - X[0, 0], X[0, 0] if Y is None: delta_y, y_origin = 1.0, 0.0 else: delta_y, y_origin = Y[1, 0] - Y[0, 0], Y[0, 0] # Find contours in the binary image for each level clines = [] for level in levels: for contour in measure.find_contours(Z, level): contour = contour.squeeze() if len(contour) > 1: # Avoid single points line = np.zeros_like(contour, dtype=np.float32) line[:, 0] = contour[:, 1] * delta_x + x_origin line[:, 1] = contour[:, 0] * delta_y + y_origin cline = ContourLine.create(vertices=line, level=level) clines.append(cline) return clines class ContourItem(PolygonShape): """Contour shape""" _readonly = True _can_select = True _can_resize = False _can_rotate = False _can_move = False _icon_name = "contour.png" def __init__(self, points=None, shapeparam=None): super().__init__(points, closed=True, shapeparam=shapeparam) assert_interfaces_valid(ContourItem) def create_contour_items( Z: np.ndarray, levels: float | np.ndarray, X: np.ndarray | None = None, Y: np.ndarray | None = None, color: str | None = None, linestyle: str | None = None, linewidth: float | None = None, ) -> list[ContourItem]: """Create contour items Args: Z: The height values over which the contour is drawn. levels : Determines the number and positions of the contour lines/regions. If a float, draw contour lines at this specified levels If array-like, draw contour lines at the specified levels. The values must be in increasing order. X: The coordinates of the values in *Z*. *X* must be 2-D with the same shape as *Z* (e.g. created via ``numpy.meshgrid``), or it must both be 1-D such that ``len(X) == M`` is the number of columns in *Z*. If none, they are assumed to be integer indices, i.e. ``X = range(M)``. Y: The coordinates of the values in *Z*. *Y* must be 2-D with the same shape as *Z* (e.g. created via ``numpy.meshgrid``), or it must both be 1-D such that ``len(Y) == N`` is the number of rows in *Z*. If none, they are assumed to be integer indices, i.e. ``Y = range(N)``. color: contour color name. Default is None linestyle: contour line style (MATLAB-like string or "SolidLine", "DashLine", "DotLine", "DashDotLine", "DashDotDotLine", "NoPen"). Default is None linewidth: contour line width (pixels). Default is None Returns: A list of :py:class:`.ContourItem` instances. """ items = [] contours = compute_contours(Z, levels, X, Y) for cline in contours: param = ShapeParam("Contour", icon="contour.png") item = ContourItem(points=cline.vertices, shapeparam=param) item.set_style("plot", "shape/contour") if color is not None: item.shapeparam.line.color = COLORS.get(color, color) if linestyle is not None: item.shapeparam.line.set_style_from_matlab(linestyle) if linewidth is not None: item.shapeparam.line.width = linewidth if color is not None or linestyle is not None or linewidth is not None: item.shapeparam.update_item(item) item.setTitle(_("Contour") + f"[Z={cline.level}]") items.append(item) return items PlotPyStack-PlotPy-2af0906/plotpy/items/curve/000077500000000000000000000000001525747167300213225ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/items/curve/__init__.py000066400000000000000000000002511525747167300234310ustar00rootroot00000000000000# -*- coding: utf-8 -*- # pylint: disable=W0611 # flake8: noqa from plotpy.items.curve.base import CurveItem from plotpy.items.curve.errorbar import ErrorBarCurveItem PlotPyStack-PlotPy-2af0906/plotpy/items/curve/base.py000066400000000000000000000447461525747167300226250ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import sys from typing import TYPE_CHECKING import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qwt import QwtPlotCurve from plotpy.config import CONF, _ from plotpy.coords import canvas_to_axes from plotpy.interfaces import ( IBasePlotItem, ICurveItemType, ISerializableType, ITrackableItemType, ) from plotpy.styles.base import SymbolParam from plotpy.styles.curve import CurveParam if TYPE_CHECKING: import guidata.io from plotpy.interfaces import IItemType from plotpy.plot import BasePlot from plotpy.styles.base import ItemParameters SELECTED_SYMBOL_PARAM = SymbolParam() SELECTED_SYMBOL_PARAM.read_config(CONF, "plot", "selected_curve_symbol") SELECTED_SYMBOL = SELECTED_SYMBOL_PARAM.build_symbol() def seg_dist(P: QC.QPointF, P0: QC.QPointF, P1: QC.QPointF) -> float: """Compute distance between point P and segment (P0, P1) Args: P: QPointF instance P0: QPointF instance P1: QPointF instance Returns: Distance between point P and segment (P0, P1) .. note:: If P orthogonal projection on (P0, P1) is outside segment bounds, return either distance to P0 or to P1 (the closest one) """ u = QC.QLineF(P0, P).length() if P0 == P1: return u else: angle = QC.QLineF(P0, P).angleTo(QC.QLineF(P0, P1)) * np.pi / 180 projection = u * np.cos(angle) if projection > QC.QLineF(P0, P1).length(): return QC.QLineF(P1, P).length() elif projection < 0: return QC.QLineF(P0, P).length() else: return abs(u * np.sin(angle)) def seg_dist_v( P: tuple[float, float], X0: float, Y0: float, X1: float, Y1: float ) -> tuple[int, float]: """Compute distance between point P and segment (X0, Y0), (X1, Y1) Args: P: Point X0: X coordinate of first point Y0: Y coordinate of first point X1: X coordinate of second point Y1: Y coordinate of second point Returns: tuple: Tuple with two elements: (index, distance) .. note:: This is the vectorized version of ``seg_dist`` function """ V = np.zeros((X0.shape[0], 2), float) PP = np.zeros((X0.shape[0], 2), float) PP[:, 0] = X0 PP[:, 1] = Y0 V[:, 0] = X1 - X0 V[:, 1] = Y1 - Y0 dP = np.array(P).reshape(1, 2) - PP norm2V = (V**2).sum(axis=1) nV = np.sqrt(norm2V).clip(1e-12) # clip: avoid division by zero w2 = V / nV[:, np.newaxis] w = np.array([-w2[:, 1], w2[:, 0]]).T distances = np.fabs((dP * w).sum(axis=1)) ix = distances.argmin() return ix, distances[ix] class CurveItem(QwtPlotCurve): """Curve item Args: curveparam: Curve parameters """ __implements__ = (IBasePlotItem, ISerializableType) _readonly = False _private = False _icon_name = "curve.png" def __init__(self, curveparam: CurveParam | None = None) -> None: super().__init__() if curveparam is None: self.param = CurveParam(_("Curve"), icon="curve.png") else: self.param = curveparam self.selected = False self.immutable = True # set to false to allow moving points around self._x = None self._y = None self.update_params() def _get_visible_axis_min(self, axis_id: int, axis_data: np.ndarray) -> float: """Return axis minimum excluding zero and negative values when corresponding plot axis scale is logarithmic Args: axis_id: Axis ID axis_data: Axis data Returns: Axis minimum """ if self.plot().get_axis_scale(axis_id) == "log": if len(axis_data[axis_data > 0]) == 0: return 0.0 else: return axis_data[axis_data > 0].min() else: return axis_data.min() def boundingRect(self) -> QC.QRectF: """Return the bounding rectangle of the data Returns: Bounding rectangle of the data """ plot = self.plot() if plot is not None and "log" in ( plot.get_axis_scale(self.xAxis()), plot.get_axis_scale(self.yAxis()), ): x, y = self._x, self._y xf, yf = x[np.isfinite(x)], y[np.isfinite(y)] xmin = self._get_visible_axis_min(self.xAxis(), xf) ymin = self._get_visible_axis_min(self.yAxis(), yf) return QC.QRectF(xmin, ymin, xf.max() - xmin, yf.max() - ymin) else: return QwtPlotCurve.boundingRect(self) def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (ICurveItemType, ITrackableItemType, ISerializableType) def get_icon_name(self) -> str: """Return the icon name Returns: Icon name """ return self._icon_name def set_icon_name(self, icon_name: str) -> None: """Set the icon name Args: icon_name: Icon name """ self._icon_name = icon_name def set_selectable(self, state: bool) -> None: """Set item selectable state Args: state: True if item is selectable, False otherwise """ self._can_select = state def set_resizable(self, state: bool) -> None: """Set item resizable state (or any action triggered when moving an handle, e.g. rotation) Args: state: True if item is resizable, False otherwise """ self._can_resize = state def set_movable(self, state: bool) -> None: """Set item movable state Args: state: True if item is movable, False otherwise """ self._can_move = state def set_rotatable(self, state: bool) -> None: """Set item rotatable state Args: state: True if item is rotatable, False otherwise """ self._can_rotate = state def can_select(self) -> bool: """ Returns True if this item can be selected Returns: bool: True if item can be selected, False otherwise """ return True def can_resize(self) -> bool: """ Returns True if this item can be resized Returns: bool: True if item can be resized, False otherwise """ return False def can_rotate(self) -> bool: """ Returns True if this item can be rotated Returns: bool: True if item can be rotated, False otherwise """ return False def can_move(self) -> bool: """ Returns True if this item can be moved Returns: bool: True if item can be moved, False otherwise """ return False def __reduce__(self) -> tuple[type, tuple, tuple]: """Return state information for pickling""" state = (self.param, self._x, self._y, self.z()) res = (CurveItem, (), state) return res def __setstate__(self, state: tuple) -> None: """Restore state information for unpickling""" param, x, y, z = state self.param = param self.set_data(x, y) self.setZ(z) self.update_params() def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ writer.write(self._x, group_name="Xdata") writer.write(self._y, group_name="Ydata") writer.write(self.z(), group_name="z") self.param.update_param(self) writer.write(self.param, group_name="curveparam") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ self.param = CurveParam(_("Curve"), icon="curve.png") reader.read("curveparam", instance=self.param) x = reader.read(group_name="Xdata", func=reader.read_array) y = reader.read(group_name="Ydata", func=reader.read_array) self.set_data(x, y) self.setZ(reader.read("z")) self.update_params() def set_readonly(self, state: bool) -> None: """Set object readonly state Args: state: True if object is readonly, False otherwise """ self._readonly = state def is_readonly(self) -> bool: """Return object readonly state Returns: bool: True if object is readonly, False otherwise """ return self._readonly def set_private(self, state: bool) -> None: """Set object as private Args: state: True if object is private, False otherwise """ self._private = state def is_private(self) -> bool: """Return True if object is private Returns: bool: True if object is private, False otherwise """ return self._private def invalidate_plot(self) -> None: """Invalidate the plot to force a redraw""" plot = self.plot() if plot is not None: plot.invalidate() def select(self) -> None: """Select the object and eventually change its appearance to highlight the fact that it's selected """ self.selected = True plot = self.plot() if plot is not None: plot.blockSignals(True) self.setSymbol(SELECTED_SYMBOL) if plot is not None: plot.blockSignals(False) self.invalidate_plot() def unselect(self) -> None: """Unselect the object and eventually restore its original appearance to highlight the fact that it's not selected anymore """ self.selected = False # Restoring initial curve parameters: self.param.update_item(self) self.invalidate_plot() def get_data(self) -> tuple[np.ndarray, np.ndarray]: """Return curve data x, y (NumPy arrays) Returns: tuple: Tuple with two elements: x and y NumPy arrays """ assert isinstance(self._x, np.ndarray) and isinstance(self._y, np.ndarray) return self._x, self._y def update_data(self) -> None: """Update curve data with current arrays.""" if isinstance(self._x, np.ndarray) and isinstance(self._y, np.ndarray): self._setData(self._x, self._y) def dsamp(self, data: np.ndarray) -> np.ndarray: """Downsample data Args: data: Data to downsample Returns: Downsampled data """ if self.param.use_dsamp and self.param.dsamp_factor > 1: return data[:: self.param.dsamp_factor] return data def _setData(self, x: np.ndarray, y: np.ndarray) -> None: """Wrapper around QwtPlotCurve.setData() to handle downsampling""" return super().setData(self.dsamp(x), self.dsamp(y)) def set_data(self, x: np.ndarray, y: np.ndarray) -> None: """Set curve data Args: x: X data y: Y data decimated_data: Set to True if CurveItem X and Y arrays are already set and this method is called to update decimated data (i.e. only update 1/N value with N set in CurveItem.param.decimation). """ self._x = np.asarray(x) self._y = np.asarray(y) self._setData(self._x, self._y) def is_empty(self) -> bool: """Return True if the item is empty Returns: True if the item is empty, False otherwise """ return self._x is None or self._y is None or self._y.size == 0 def hit_test(self, pos: QC.QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ if self.is_empty(): return sys.maxsize, 0, False, None plot = self.plot() ax = self.xAxis() ay = self.yAxis() px = plot.invTransform(ax, pos.x()) py = plot.invTransform(ay, pos.y()) # On cherche les 4 points qui sont les plus proches en X et en Y # avant et aprรจs ie tels que p1x < x < p2x et p3y < y < p4y tmpx = self._x - px tmpy = self._y - py if np.count_nonzero(tmpx) != len(tmpx) or np.count_nonzero(tmpy) != len(tmpy): # Avoid dividing by zero warning when computing dx or dy return sys.maxsize, 0, False, None dx = 1 / tmpx dy = 1 / tmpy i0 = dx.argmin() i1 = dx.argmax() i2 = dy.argmin() i3 = dy.argmax() t = np.array((i0, i1, i2, i3)) t2 = (t + 1).clip(0, self._x.shape[0] - 1) i, _d = seg_dist_v((px, py), self._x[t], self._y[t], self._x[t2], self._y[t2]) i = t[i] # Recalcule la distance dans le rรฉpรจre du widget p0x = plot.transform(ax, self._x[i]) p0y = plot.transform(ay, self._y[i]) if i + 1 >= self._x.shape[0]: p1x = p0x p1y = p0y else: p1x = plot.transform(ax, self._x[i + 1]) p1y = plot.transform(ay, self._y[i + 1]) distance = seg_dist(QC.QPointF(pos), QC.QPointF(p0x, p0y), QC.QPointF(p1x, p1y)) final_index = i // (int(not self.param.use_dsamp) or self.param.dsamp_factor) return distance, final_index, False, None def get_closest_coordinates(self, x: float, y: float) -> tuple[float, float]: """ Get the closest coordinates to the given point Args: x: X coordinate y: Y coordinate Returns: tuple[float, float]: Closest coordinates """ plot = self.plot() ax = self.xAxis() ay = self.yAxis() xc = plot.transform(ax, x) yc = plot.transform(ay, y) _distance, i, _inside, _other = self.hit_test(QC.QPointF(xc, yc)) point = self.sample(i) return point.x(), point.y() def get_coordinates_label(self, x: float, y: float) -> str: """ Get the coordinates label for the given coordinates Args: x: X coordinate y: Y coordinate Returns: str: Coordinates label """ title = self.title().text() # Use the plot's consolidated coordinate formatting method plot: BasePlot = self.plot() if plot is not None: # Format using the plot's consolidated coordinate formatting method return plot.format_coordinate_values( x, y, self.xAxis(), self.yAxis(), title ) else: return f"{title}:
x = {x:g}
y = {y:g}" def get_closest_x(self, xc: float) -> tuple[float, float]: """ Get the closest point to the given x coordinate Args: xc: X coordinate Returns: tuple[float, float]: Closest point coordinates """ # We assume X is sorted, otherwise we'd need : # argmin(abs(x-xc)) i = self._x.searchsorted(xc) if i > 0 and np.fabs(self._x[i - 1] - xc) < np.fabs(self._x[i] - xc): return self._x[i - 1], self._y[i - 1] return self._x[i], self._y[i] def move_local_point_to( self, handle: int, pos: QC.QPointF, ctrl: bool = None ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ if self.immutable: return if handle < 0 or handle > self._x.shape[0]: return x, y = canvas_to_axes(self, pos) self._x[handle] = x self._y[handle] = y self._setData(self._x, self._y) self.plot().replot() def move_local_shape(self, old_pos: QC.QPointF, new_pos: QC.QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in canvas coordinates Args: old_pos: Old position new_pos: New position """ nx, ny = canvas_to_axes(self, new_pos) ox, oy = canvas_to_axes(self, old_pos) self._x += nx - ox self._y += ny - oy self._setData(self._x, self._y) def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ self._x += delta_x self._y += delta_y self._setData(self._x, self._y) def update_params(self): """Update item parameters (object properties) from datasets""" self.param.update_item(self) if self.selected: self.select() def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" self.param.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ itemparams.add("CurveParam", self, self.param) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ update_dataset(self.param, itemparams.get("CurveParam"), visible_only=True) self.update_params() assert_interfaces_valid(CurveItem) PlotPyStack-PlotPy-2af0906/plotpy/items/curve/errorbar.py000066400000000000000000000307631525747167300235230ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import warnings from typing import TYPE_CHECKING import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from qwt import QwtPlotCurve, QwtScaleMap from plotpy.config import _ from plotpy.items.curve.base import CurveItem from plotpy.styles.curve import CurveParam from plotpy.styles.errorbar import ErrorBarParam if TYPE_CHECKING: import guidata.io from plotpy.plot.base import BasePlot from plotpy.styles.base import ItemParameters def _transform(map: QwtScaleMap, v: float) -> float: """Transform coordinates""" return QwtScaleMap.transform(map, v) def vmap(map: QwtScaleMap, v: np.ndarray) -> np.ndarray: """Transform coordinates while handling RuntimeWarning that could be raised by NumPy when trying to transform a zero in logarithmic scale for example Args: map: Scale map v: Array of coordinates Returns: Array of transformed coordinates """ with warnings.catch_warnings(): warnings.simplefilter("ignore", category=RuntimeWarning) output = np.vectorize(_transform)(map, v) return output class ErrorBarCurveItem(CurveItem): """Error-bar curve item Args: curveparam: Curve parameters errorbarparam: Error-bar parameters """ _icon_name = "errorbar.png" def __init__( self, curveparam: CurveParam | None = None, errorbarparam: ErrorBarParam | None = None, ) -> None: if errorbarparam is None: self.errorbarparam = ErrorBarParam(_("Error bars"), icon="errorbar.png") else: self.errorbarparam = errorbarparam self.errorPen: QG.QPen | None = None self.errorBrush: QG.QBrush | None = None self.errorCap: int | None = None self.errorOnTop: bool | None = None super().__init__(curveparam) self._dx = None self._dy = None self.__minmaxarrays: dict[bool, tuple[float, float, float, float]] = {} def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ super().serialize(writer) writer.write(self._dx, group_name="dXdata") writer.write(self._dy, group_name="dYdata") self.errorbarparam.update_param(self) writer.write(self.errorbarparam, group_name="errorbarparam") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ self.param = CurveParam(_("Curve"), icon="curve.png") reader.read("curveparam", instance=self.param) self.errorbarparam = ErrorBarParam(_("Error bars"), icon="errorbar.png") reader.read("errorbarparam", instance=self.errorbarparam) x = reader.read(group_name="Xdata", func=reader.read_array) y = reader.read(group_name="Ydata", func=reader.read_array) dx = reader.read(group_name="dXdata", func=reader.read_array) dy = reader.read(group_name="dYdata", func=reader.read_array) self.set_data(x, y, dx, dy) self.setZ(reader.read("z")) self.update_params() def unselect(self) -> None: """ Unselect the object and eventually restore its original appearance to highlight the fact that it's not selected anymore """ CurveItem.unselect(self) self.errorbarparam.update_item(self) def get_data(self) -> tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray]: """Get data Returns: Data as a tuple (x, y, dx, dy) """ return self._x, self._y, self._dx, self._dy def set_data( self, x: np.ndarray, y: np.ndarray, dx: np.ndarray | float | None = None, dy: np.ndarray | float | None = None, ) -> None: """Set data Args: x: X data y: Y data dx: X error data dy: Y error data """ CurveItem.set_data(self, x, y) if dx is not None: dx = np.asarray(dx) if dx.size == 0: dx = None if dy is not None: dy = np.asarray(dy) if dy.size == 0: dy = None self._dx = dx self._dy = dy self.__minmaxarrays = {} def get_minmax_arrays( self, all_values: bool = True ) -> tuple[ np.ndarray[float], np.ndarray[float], np.ndarray[float], np.ndarray[float] ]: """Get min/max arrays Args: all_values: If True, return all values, else return only finite values Returns: Min/max arrays """ if self.__minmaxarrays.get(all_values) is None: x = self.dsamp(self._x) y = self.dsamp(self._y) dx = self.dsamp(self._dx) dy = self.dsamp(self._dy) if all_values: if dx is None: xmin = xmax = x else: xmin, xmax = x - dx, x + dx if dy is None: ymin = ymax = y else: ymin, ymax = y - dy, y + dy self.__minmaxarrays.setdefault(all_values, (xmin, xmax, ymin, ymax)) else: isf = np.logical_and(np.isfinite(x), np.isfinite(y)) if dx is not None: isf = np.logical_and(isf, np.isfinite(dx)) if dy is not None: isf = np.logical_and(isf, np.isfinite(dy)) if dx is None: xmin = xmax = x[isf] else: xmin, xmax = x[isf] - dx[isf], x[isf] + dx[isf] if dy is None: ymin = ymax = y[isf] else: ymin, ymax = y[isf] - dy[isf], y[isf] + dy[isf] self.__minmaxarrays.setdefault( all_values, (x[isf], y[isf], xmin, xmax, ymin, ymax) ) return self.__minmaxarrays[all_values] def get_closest_coordinates(self, x: float, y: float) -> tuple[float, float]: """ Get the closest coordinates to the given point Args: x: X coordinate y: Y coordinate Returns: tuple[float, float]: Closest coordinates """ # Surcharge d'une mรฉthode de base de CurveItem plot: BasePlot = self.plot() xc = plot.transform(self.xAxis(), x) yc = plot.transform(self.yAxis(), y) _distance, i, _inside, _other = self.hit_test(QC.QPointF(xc, yc)) xi = self.dsamp(self._x)[i] yi = self.dsamp(self._y)[i] xmin, xmax, ymin, ymax = self.get_minmax_arrays() if abs(y - yi) > abs(y - ymin[i]): yi = ymin[i] elif abs(y - yi) > abs(y - ymax[i]): yi = ymax[i] if abs(x - xi) > abs(x - xmin[i]): xi = xmin[i] elif abs(x - xi) > abs(x - xmax[i]): xi = xmax[i] return xi, yi def boundingRect(self) -> QC.QRectF: """Return the bounding rectangle of the data Returns: Bounding rectangle of the data """ xmin, xmax, ymin, ymax = self.get_minmax_arrays() if xmin is None or xmin.size == 0: return CurveItem.boundingRect(self) plot: BasePlot = self.plot() xminf, yminf = xmin[np.isfinite(xmin)], ymin[np.isfinite(ymin)] xmaxf, ymaxf = xmax[np.isfinite(xmax)], ymax[np.isfinite(ymax)] # If all values are NaN, return the parent's bounding rect if 0 in (xminf.size, yminf.size, xmaxf.size, ymaxf.size): return CurveItem.boundingRect(self) if plot is not None and "log" in ( plot.get_axis_scale(self.xAxis()), plot.get_axis_scale(self.yAxis()), ): xmin = self._get_visible_axis_min(self.xAxis(), xminf) ymin = self._get_visible_axis_min(self.yAxis(), yminf) else: xmin = xminf.min() ymin = yminf.min() return QC.QRectF(xmin, ymin, xmaxf.max() - xmin, ymaxf.max() - ymin) def draw( self, painter: QG.QPainter, xMap: QwtScaleMap, yMap: QwtScaleMap, canvasRect: QC.QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ if self._x is None or self._x.size == 0: return x, y, xmin, xmax, ymin, ymax = self.get_minmax_arrays(all_values=False) if x.size == 0: # All values are NaN return tx = vmap(xMap, x) ty = vmap(yMap, y) RN = list(range(len(tx))) if self.errorOnTop: QwtPlotCurve.draw(self, painter, xMap, yMap, canvasRect) painter.save() painter.setPen(self.errorPen) cap = self.errorCap / 2.0 if self._dx is not None and self.errorbarparam.mode == 0: txmin = vmap(xMap, xmin) txmax = vmap(xMap, xmax) # Classic error bars lines = [] for i in RN: yi = ty[i] lines.append(QC.QLineF(txmin[i], yi, txmax[i], yi)) painter.drawLines(lines) if cap > 0: lines = [] for i in RN: yi = ty[i] lines.append(QC.QLineF(txmin[i], yi - cap, txmin[i], yi + cap)) lines.append(QC.QLineF(txmax[i], yi - cap, txmax[i], yi + cap)) painter.drawLines(lines) if self._dy is not None: tymin = vmap(yMap, ymin) tymax = vmap(yMap, ymax) if self.errorbarparam.mode == 0: # Classic error bars lines = [] for i in RN: xi = tx[i] lines.append(QC.QLineF(xi, tymin[i], xi, tymax[i])) painter.drawLines(lines) if cap > 0: # Cap lines = [] for i in RN: xi = tx[i] lines.append(QC.QLineF(xi - cap, tymin[i], xi + cap, tymin[i])) lines.append(QC.QLineF(xi - cap, tymax[i], xi + cap, tymax[i])) painter.drawLines(lines) else: # Error area points = [] rpoints = [] for i in RN: xi = tx[i] points.append(QC.QPointF(xi, tymin[i])) rpoints.append(QC.QPointF(xi, tymax[i])) points += reversed(rpoints) painter.setBrush(QG.QBrush(self.errorBrush)) painter.drawPolygon(*points) painter.restore() if not self.errorOnTop: QwtPlotCurve.draw(self, painter, xMap, yMap, canvasRect) def update_params(self): """Update object properties from item parameters""" self.errorbarparam.update_item(self) # In case the downsampling factor/state has changed, # we need to invalidate cached data self.__minmaxarrays = {} CurveItem.update_params(self) def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" CurveItem.update_item_parameters(self) self.errorbarparam.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ CurveItem.get_item_parameters(self, itemparams) itemparams.add("ErrorBarParam", self, self.errorbarparam) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ update_dataset( self.errorbarparam, itemparams.get("ErrorBarParam"), visible_only=True ) CurveItem.set_item_parameters(self, itemparams) assert_interfaces_valid(ErrorBarCurveItem) PlotPyStack-PlotPy-2af0906/plotpy/items/grid.py000066400000000000000000000167571525747167300215150ustar00rootroot00000000000000# -*- coding: utf-8 -*- """ * :py:class:`.curve.GridItem` .. autoclass:: GridItem :members: """ from __future__ import annotations import sys from typing import TYPE_CHECKING from guidata.utils.misc import assert_interfaces_valid from qwt import QwtPlot, QwtPlotGrid from plotpy.config import _ from plotpy.interfaces import IBasePlotItem, IDecoratorItemType from plotpy.styles.base import GridParam if TYPE_CHECKING: from qtpy.QtCore import QPointF from plotpy.interfaces import IItemType from plotpy.styles.base import ItemParameters class GridItem(QwtPlotGrid): """Grid plot item Args: gridparam: Grid parameters """ __implements__ = (IBasePlotItem,) _readonly = True _private = False _icon_name = "grid.png" def __init__(self, gridparam: GridParam | None = None) -> None: super().__init__() if gridparam is None: self.gridparam = GridParam(title=_("Grid"), icon="grid.png") else: self.gridparam = gridparam self.selected = False self.immutable = True # set to false to allow moving points around self.update_params() # won't work completely because it's not yet # attached to plot (actually, only canvas background won't be updated) def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (IDecoratorItemType,) def attach(self, plot: QwtPlot) -> None: """Reimplemented to update plot canvas background""" QwtPlotGrid.attach(self, plot) self.update_params() def set_readonly(self, state: bool) -> None: """Set object readonly state Args: state: True if object is readonly, False otherwise """ self._readonly = state def is_readonly(self) -> bool: """Return object readonly state Returns: bool: True if object is readonly, False otherwise """ return self._readonly def set_private(self, state: bool) -> None: """Set object as private Args: state: True if object is private, False otherwise """ self._private = state def is_private(self) -> bool: """Return True if object is private Returns: bool: True if object is private, False otherwise """ return self._private def get_icon_name(self) -> str: """Return the icon name Returns: Icon name """ return self._icon_name def set_icon_name(self, icon_name: str) -> None: """Set the icon name Args: icon_name: Icon name """ self._icon_name = icon_name def set_selectable(self, state: bool) -> None: """Set item selectable state Args: state: True if item is selectable, False otherwise """ self._can_select = state def set_resizable(self, state: bool) -> None: """Set item resizable state (or any action triggered when moving an handle, e.g. rotation) Args: state: True if item is resizable, False otherwise """ self._can_resize = state def set_movable(self, state: bool) -> None: """Set item movable state Args: state: True if item is movable, False otherwise """ self._can_move = state def set_rotatable(self, state: bool) -> None: """Set item rotatable state Args: state: True if item is rotatable, False otherwise """ self._can_rotate = state def can_select(self) -> bool: """ Returns True if this item can be selected Returns: bool: True if item can be selected, False otherwise """ return False def can_resize(self) -> bool: """ Returns True if this item can be resized Returns: bool: True if item can be resized, False otherwise """ return False def can_rotate(self) -> bool: """ Returns True if this item can be rotated Returns: bool: True if item can be rotated, False otherwise """ return False def can_move(self) -> bool: """ Returns True if this item can be moved Returns: bool: True if item can be moved, False otherwise """ return False def select(self) -> None: """ Select the object and eventually change its appearance to highlight the fact that it's selected """ def unselect(self) -> None: """ Unselect the object and eventually restore its original appearance to highlight the fact that it's not selected anymore """ def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ return sys.maxsize, 0, False, None def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ def move_local_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in canvas coordinates Args: old_pos: Old position new_pos: New position """ def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ def update_params(self): """Update object parameters (dataset) from object properties""" self.gridparam.update_grid(self) def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" self.gridparam.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ itemparams.add("GridParam", self, self.gridparam) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ self.gridparam: GridParam = itemparams.get("GridParam") self.gridparam.update_grid(self) assert_interfaces_valid(GridItem) PlotPyStack-PlotPy-2af0906/plotpy/items/histogram.py000066400000000000000000000152471525747167300225560ustar00rootroot00000000000000# -*- coding: utf-8 -*- # pylint: disable=C0103 """ Histogram item """ from __future__ import annotations import weakref from typing import TYPE_CHECKING import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qwt import QwtPlotCurve from plotpy.config import _ from plotpy.interfaces import IBasePlotItem, IHistDataSource from plotpy.items.curve.base import CurveItem from plotpy.styles.curve import CurveParam from plotpy.styles.histogram import HistogramParam if TYPE_CHECKING: from plotpy.items.image.base import BaseImageItem from plotpy.styles.base import ItemParameters class HistDataSource: """An objects that provides an Histogram data source interface to a simple numpy array of data """ __implements__ = (IHistDataSource,) def __init__(self, data: np.ndarray) -> None: self.data = data def get_histogram( self, nbins: int, drange: tuple[float, float] | None = None ) -> tuple[np.ndarray, np.ndarray]: """ Return a tuple (hist, bins) where hist is a list of histogram values Args: nbins: number of bins drange: lower and upper range of the bins. If not provided, range is simply (data.min(), data.max()). Values outside the range are ignored. Returns: Tuple (hist, bins) """ return np.histogram(self.data, bins=nbins, range=drange) assert_interfaces_valid(HistDataSource) class HistogramItem(CurveItem): """Histogram plot item Args: curveparam: Curve parameters histparam: Histogram parameters """ __implements__ = (IBasePlotItem,) _icon_name = "histogram.png" def __init__( self, curveparam: CurveParam | None = None, histparam: HistogramParam | None = None, keep_weakref: bool = False, ) -> None: self.hist_count = None self.hist_bins = None self.bins = None self.bin_range = None self.old_bins = None self.source: BaseImageItem | None = None self.logscale: bool | None = None self.old_logscale = None self.keep_weakref = keep_weakref if curveparam is None: curveparam = CurveParam(_("Curve"), icon="curve.png") curveparam.curvestyle = "Steps" if histparam is None: self.histparam = HistogramParam(title=_("Histogram"), icon="histogram.png") else: self.histparam = histparam CurveItem.__init__(self, curveparam) self.setCurveAttribute(QwtPlotCurve.Inverted) def set_hist_source(self, src: BaseImageItem) -> None: """Set histogram source Args: src: Object with method `get_histogram`, e.g. objects derived from :py:class:`.ImageItem` """ if self.keep_weakref: self.source = weakref.ref(src) else: self.source = src self.update_histogram() def get_hist_source(self) -> BaseImageItem | None: """Return histogram source Returns: object: Object with method `get_histogram`, e.g. objects derived from :py:class:`.ImageItem` """ if self.source is not None: if self.keep_weakref: return self.source() return self.source def set_hist_data(self, data: np.ndarray) -> None: """Set histogram data Args: data: numpy array """ self.set_hist_source(HistDataSource(data)) def set_logscale(self, state: bool) -> None: """Sets whether we use a logarithm or linear scale for the histogram counts Args: state: True for logarithmic scale """ self.logscale = state self.update_histogram() def get_logscale(self) -> bool | None: """Returns the status of the scale Returns: bool: True for logarithmic scale """ return self.logscale def set_bins(self, n_bins: int) -> None: """Sets the number of bins Args: n_bins: number of bins """ self.bins = n_bins self.update_histogram() def get_bins(self) -> int | None: """Returns the number of bins Returns: int: number of bins """ return self.bins def set_bin_range(self, bin_range: tuple[float, float] | None) -> None: """Sets the range of the bins Args: bin_range: (min, max) or None for automatic range """ self.bin_range = bin_range self.update_histogram() def get_bin_range(self) -> tuple[float, float] | None: """Returns the range of the bins Returns: tuple: (min, max) """ return self.bin_range def compute_histogram(self) -> tuple[np.ndarray, np.ndarray]: """Compute histogram data Returns: tuple: (hist, bins) """ return self.get_hist_source().get_histogram(self.bins, self.bin_range) def update_histogram(self) -> None: """Update histogram data""" if self.get_hist_source() is None: return hist, bin_edges = self.compute_histogram() # Duplicate the first `hist` value to get a step-like histogram: hist = np.concatenate(([hist[0]], hist)) if self.logscale: hist = np.log(hist + 1) self.set_data(bin_edges, hist) # Autoscale only if logscale/bins have changed if self.bins != self.old_bins or self.logscale != self.old_logscale: if self.plot(): self.plot().do_autoscale() self.old_bins = self.bins self.old_logscale = self.logscale plot = self.plot() if plot is not None: plot.do_autoscale(replot=True) def update_params(self): """Update histogram parameters""" self.histparam.update_hist(self) CurveItem.update_params(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ CurveItem.get_item_parameters(self, itemparams) itemparams.add("HistogramParam", self, self.histparam) def set_item_parameters(self, itemparams): """ :param itemparams: """ update_dataset( self.histparam, itemparams.get("HistogramParam"), visible_only=True ) self.histparam.update_hist(self) CurveItem.set_item_parameters(self, itemparams) assert_interfaces_valid(HistogramItem) PlotPyStack-PlotPy-2af0906/plotpy/items/image/000077500000000000000000000000001525747167300212605ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/items/image/__init__.py000066400000000000000000000011571525747167300233750ustar00rootroot00000000000000# -*- coding: utf-8 -*- # pylint: disable=unused-import # flake8: noqa from .base import BaseImageItem, RawImageItem from .filter import ImageFilterItem, XYImageFilterItem from .standard import ImageItem, RGBImageItem, XYImageItem from .masked import MaskedArea, MaskedImageItem, MaskedXYImageItem from .misc import ( Histogram2DItem, QuadGridItem, assemble_imageitems, compute_image_items_original_size, compute_trimageitems_original_size, get_image_from_plot, get_image_from_qrect, get_image_in_shape, get_items_in_rectangle, get_plot_qrect, ) from .transform import TrImageItem PlotPyStack-PlotPy-2af0906/plotpy/items/image/base.py000066400000000000000000001265061525747167300225560ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) from __future__ import annotations import os import os.path as osp from typing import TYPE_CHECKING, Any import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from qwt import QwtLinearScaleEngine, QwtPlotItem from plotpy import io from plotpy._scaler import ( INTERP_AA, INTERP_LINEAR, INTERP_NEAREST, _histogram, _scale_rect, ) from plotpy.config import _ from plotpy.constants import LUT_MAX, LUT_SIZE, LUTAlpha from plotpy.coords import pixelround from plotpy.interfaces import ( IBaseImageItem, IBasePlotItem, IColormapImageItemType, ICSImageItemType, IExportROIImageItemType, IHistDataSource, IImageItemType, ISerializableType, ITrackableItemType, IVoiImageItemType, ) # do not import rectangleshape from plotpy.items directly from plotpy.items.shape.rectangle import RectangleShape from plotpy.lutrange import lut_range_threshold from plotpy.mathutils.arrayfuncs import get_nan_range from plotpy.mathutils.colormap import FULLRANGE, get_cmap from plotpy.styles.image import RawImageParam if TYPE_CHECKING: import guidata.io import qwt.color_map import qwt.scale_map from qtpy.QtCore import QPointF, QRectF from qtpy.QtGui import QColor, QPainter from plotpy.interfaces import IItemType from plotpy.plot import BasePlot from plotpy.styles.base import ItemParameters from plotpy.widgets.colormap.widget import EditableColormap class BaseImageItem(QwtPlotItem): """Base class for image items Args: data: Image data param: Image parameters """ __implements__ = ( IBasePlotItem, IBaseImageItem, IHistDataSource, IVoiImageItemType, ICSImageItemType, IExportROIImageItemType, ) _can_select = True _can_resize = False _can_move = False _can_rotate = False _readonly = False _private = False _icon_name = "image.png" def __init__( self, data: np.ndarray | None = None, param: Any | None = None ) -> None: super().__init__() self.bg_qcolor = QG.QColor() self.bounds = QC.QRectF() # BaseImageItem needs: # param.background # param.alpha_function # param.alpha # param.colormap if param is None: param = self.get_default_param() self.param = param self.selected = False self.data: np.ndarray | None = None self.min = 0.0 self.max = 1.0 self.cmap_table = None self.cmap = None self.colormap_axis = None self._image: QG.QImage | None = None self._offscreen = np.array((1, 1), np.uint32) # Linear interpolation is the default interpolation algorithm: # it's almost as fast as 'nearest pixel' method but far smoother self.interpolate = None self.set_interpolation(INTERP_LINEAR) x1, y1 = self.bounds.left(), self.bounds.top() x2, y2 = self.bounds.right(), self.bounds.bottom() self.border_rect = RectangleShape(x1, y1, x2, y2) self.border_rect.set_style("plot", "shape/imageborder") # A, B, Background, Colormap self.lut = (1.0, 0.0, None, np.zeros((LUT_SIZE,), np.uint32)) self.set_lut_range((0.0, 255.0)) self.setItemAttribute(QwtPlotItem.AutoScale) self.setItemAttribute(QwtPlotItem.Legend, True) self._filename = None # The file this image comes from self.histogram_cache = None # Z-axis logarithmic scale support self._log_data: np.ndarray | None = None self._lin_lut_range: tuple[float, float] | None = None self._is_zaxis_log = False if data is not None: self.set_data(data) self.param.update_item(self) # ---- Public API ---------------------------------------------------------- def get_default_param(self) -> Any: """Return instance of the default image param DataSet""" raise NotImplementedError def set_filename(self, fname: str) -> None: """Set the filename of the image Args: fname: Filename """ self._filename = fname def get_filename(self) -> str | None: """Get the filename of the image Returns: Filename """ fname = self._filename if fname is not None and not osp.isfile(fname): other_try = osp.join(os.getcwd(), osp.basename(fname)) if osp.isfile(other_try): self.set_filename(other_try) fname = other_try return fname def get_filter(self, filterobj, filterparam): """Provides a filter object over this image's content""" raise NotImplementedError def get_pixel_coordinates(self, xplot: float, yplot: float) -> tuple[float, float]: """Get pixel coordinates from plot coordinates Args: xplot: X plot coordinate yplot: Y plot coordinate Returns: Pixel coordinates """ return xplot, yplot def get_plot_coordinates(self, xpixel: float, ypixel: float) -> tuple[float, float]: """Get plot coordinates from pixel coordinates Args: xpixel: X pixel coordinate ypixel: Y pixel coordinate Returns: Plot coordinates """ return xpixel, ypixel def get_closest_indexes( self, x: float, y: float, corner: str | None = None ) -> tuple[int, int]: """Get closest image pixel indexes to the given coordinates Args: x: X coordinate y: Y coordinate corner: None (not a corner), 'TL' (top-left corner), 'BR' (bottom-right corner) Returns: Closest image pixel indexes """ x, y = self.get_pixel_coordinates(x, y) i_max = self.data.shape[1] - 1 j_max = self.data.shape[0] - 1 if corner == "BR": i_max += 1 j_max += 1 i = max([0, min([i_max, int(pixelround(x, corner))])]) j = max([0, min([j_max, int(pixelround(y, corner))])]) return i, j def get_closest_index_rect( self, x0: float, y0: float, x1: float, y1: float, avoid_empty: bool = True ) -> tuple[int, int, int, int]: """Get closest image rectangular pixel area index bounds, optionally avoid returning an empty rectangular area (return at least 1x1 pixel area) Args: x0: X coordinate of first point y0: Y coordinate of first point x1: X coordinate of second point y1: Y coordinate of second point avoid_empty: True to avoid returning an empty rectangular area. Defaults to True. Returns: Closest image rectangular pixel area index bounds compatible with direct array slicing (e.g., data[iy0:iy1, ix0:ix1]) .. note:: Avoid returning empty rectangular area (return 1x1 pixel area instead). Handle reversed/not-reversed Y-axis orientation. Indices are compatible with direct array slicing and match get_data behavior. """ ix0, iy0 = self.get_closest_indexes(x0, y0, corner="TL") # Use TL to avoid double +1 addition ix1, iy1 = self.get_closest_indexes(x1, y1, corner="TL") if ix0 > ix1: ix1, ix0 = ix0, ix1 if iy0 > iy1: iy1, iy0 = iy0, iy1 # Add +1 to bottom-right indices for slice compatibility (matches get_data) ix1 = min(ix1 + 1, self.data.shape[1]) iy1 = min(iy1 + 1, self.data.shape[0]) if ix0 == ix1 and avoid_empty: ix1 = min(ix1 + 1, self.data.shape[1]) if iy0 == iy1 and avoid_empty: iy1 = min(iy1 + 1, self.data.shape[0]) return ix0, iy0, ix1, iy1 def align_rectangular_shape(self, shape: RectangleShape) -> None: """Align rectangular shape to image pixels Args: shape: Shape to align """ ix0, iy0, ix1, iy1 = self.get_closest_index_rect(*shape.get_rect()) x0, y0 = self.get_plot_coordinates(ix0, iy0) x1, y1 = self.get_plot_coordinates(ix1, iy1) shape.set_rect(x0, y0, x1, y1) def get_closest_pixel_indexes(self, x: float, y: float) -> tuple[int, int]: """Get closest pixel indexes Args: x: X coordinate y: Y coordinate Returns: Closest pixel indexes .. note:: Instead of returning indexes of an image pixel like the method 'get_closest_indexes', this method returns the indexes of the closest pixel which is not necessarily on the image itself (i.e. indexes may be outside image index bounds: negative or superior than the image dimension) .. note:: This is *not* the same as retrieving the canvas pixel coordinates (which depends on the zoom level) """ x, y = self.get_pixel_coordinates(x, y) i = int(pixelround(x)) j = int(pixelround(y)) return i, j def get_x_values(self, i0: int, i1: int) -> np.ndarray: """Get X values from pixel indexes Args: i0: First index i1: Second index Returns: X values corresponding to the given pixel indexes """ return np.arange(i0, i1) def get_y_values(self, j0: int, j1: int) -> np.ndarray: """Get Y values from pixel indexes Args: j0: First index j1: Second index Returns: Y values corresponding to the given pixel indexes """ return np.arange(j0, j1) def get_r_values(self, i0, i1, j0, j1, flag_circle=False): """Get radial values from pixel indexes Args: i0: First index i1: Second index j0: Third index j1: Fourth index flag_circle: Flag circle (Default value = False) Returns: Radial values corresponding to the given pixel indexes """ return self.get_x_values(i0, i1) def _recompute_log_data(self) -> None: """Refresh the cached log10 data from the current ``self.data``. Used both when toggling the Z-axis log scale on and when the underlying data is replaced (e.g. via :meth:`set_data`) while the log scale is already active. """ self._log_data = np.array(np.log10(self.data.clip(1)), dtype=np.float64) def set_data( self, data: np.ndarray, lut_range: tuple[float, float] | None = None ) -> None: """Set image data Args: data: 2D NumPy array lut_range: LUT range -- tuple (levelmin, levelmax) (Default value = None) """ self.data = data self.histogram_cache = None self.update_bounds() self.update_border() # Refresh the cached log10 data when log scale is active, otherwise the # display would keep using the previous (now stale) log data. if self.get_zaxis_log_state(): self._recompute_log_data() if not self.param.keep_lut_range: if lut_range is not None: _min, _max = lut_range elif self.get_zaxis_log_state(): _min, _max = get_nan_range(self._log_data) else: _min, _max = get_nan_range(data) self.set_lut_range((_min, _max)) def get_data( self, x0: float, y0: float, x1: float | None = None, y1: float | None = None ) -> float | tuple[np.ndarray, np.ndarray, np.ndarray]: """Get image data Args: x0: X coordinate of first point y0: Y coordinate of first point x1: X coordinate of second point (Default value = None) y1: Y coordinate of second point (Default value = None) Returns: Image level, or image levels in rectangular area (x0,y0,x1,y1) as a tuple (x, y, data) of arrays """ i0, j0 = self.get_closest_indexes(x0, y0) if x1 is None or y1 is None: return self.data[j0, i0] else: i1, j1 = self.get_closest_indexes(x1, y1) i1 += 1 j1 += 1 return ( self.get_x_values(i0, i1), self.get_y_values(j0, j1), self.data[j0:j1, i0:i1], ) def get_closest_coordinates(self, x: float, y: float) -> tuple[float, float]: """ Get the closest coordinates to the given point Args: x: X coordinate y: Y coordinate Returns: tuple[float, float]: Closest coordinates """ return self.get_closest_indexes(x, y) def get_coordinates_label(self, x: float, y: float) -> str: """ Get the coordinates label for the given coordinates Args: x: X coordinate y: Y coordinate Returns: str: Coordinates label """ title = self.title().text() z = self.get_data(x, y) zstr = "--" if z is np.ma.masked else f"{z:g}" return f"{title}:
x = {int(x):d}
y = {int(y):d}
z = {zstr}" def set_background_color(self, qcolor: QColor | str) -> None: """Set background color Args: qcolor: Background color """ # mask = np.uint32(255*self.param.alpha+0.5).clip(0,255) << 24 self.bg_qcolor = qcolor a, b, _bg, cmap = self.lut if qcolor is None: self.lut = (a, b, None, cmap) else: self.lut = (a, b, np.uint32(QG.QColor(qcolor).rgb() & 0xFFFFFF), cmap) def set_color_map( self, name_or_table: str | EditableColormap, invert: bool | None = None ) -> None: """Set colormap Args: name_or_table: Colormap name or colormap invert: True to invert colormap, False otherwise (Default value = None, i.e. do not change the default behavior) """ if name_or_table is self.cmap_table: # This avoids rebuilding the LUT all the time return if isinstance(name_or_table, str): table = get_cmap(name_or_table) else: table = name_or_table if invert is not None: table.invert = invert self.cmap_table = table self.cmap = table.colorTable(FULLRANGE) cmap_a = self.lut[3] alpha = self.param.alpha alpha_function = self.param.alpha_function for i in range(LUT_SIZE): if alpha_function == LUTAlpha.NONE.value: pix_alpha = 1.0 elif alpha_function == LUTAlpha.CONSTANT.value: pix_alpha = alpha else: x = i / float(LUT_SIZE - 1) if alpha_function == LUTAlpha.LINEAR.value: # Linear alpha function pix_alpha = alpha * x elif alpha_function == LUTAlpha.SIGMOID.value: # Sigmoid alpha function pix_alpha = alpha / (1 + np.exp(-10 * x)) elif alpha_function == LUTAlpha.TANH.value: # Hyperbolic tangent alpha function pix_alpha = alpha * np.tanh(5 * x) elif alpha_function == LUTAlpha.STEP.value: # Fully transparent lowest value and `alpha` transparent elsewhere pix_alpha = alpha if x > 0 else 0 else: raise ValueError(f"Invalid alpha function {alpha_function}") # pylint: disable=too-many-function-args alpha_channel = max(min(np.uint32(255 * pix_alpha + 0.5), 255), 0) << 24 cmap_a[i] = ( np.uint32((table.rgb(FULLRANGE, i / LUT_MAX)) & 0xFFFFFF) | alpha_channel ) plot = self.plot() if plot: plot.update_colormap_axis(self) def get_color_map(self) -> EditableColormap | None: """Get colormap Returns: Colormap """ return self.cmap_table def set_interpolation(self, interp_mode: int, size: int | None = None) -> None: """Set interpolation mode Args: interp_mode: INTERP_NEAREST, INTERP_LINEAR, INTERP_AA size: (for anti-aliasing only) AA matrix size (Default value = None) """ if interp_mode in (INTERP_NEAREST, INTERP_LINEAR): self.interpolate = (interp_mode,) if interp_mode == INTERP_AA: aa = np.ones((size, size), self.data.dtype) self.interpolate = (interp_mode, aa) def get_interpolation(self) -> tuple[int] | tuple[int, np.ndarray]: """Get interpolation mode""" return self.interpolate def set_lut_range(self, lut_range: tuple[float, float]) -> None: """ Set the current active lut range Args: lut_range: Lut range, tuple(min, max) Example: >>> item.set_lut_range((0.0, 1.0)) """ self.min, self.max = lut_range _a, _b, bg, cmap = self.lut if self.max == self.min: self.lut = (LUT_MAX, self.min, bg, cmap) else: fmin, fmax = float(self.min), float(self.max) # avoid overflows self.lut = ( LUT_MAX / (fmax - fmin), -LUT_MAX * fmin / (fmax - fmin), bg, cmap, ) def get_lut_range(self) -> tuple[float, float]: """Get the current active lut range Returns: tuple[float, float]: Lut range, tuple(min, max) """ return self.min, self.max def set_lut_threshold(self, threshold: float) -> None: """Set lut threshold value, eliminating the given percent of the histogram Args: threshold: Lut threshold value """ self.set_lut_range(lut_range_threshold(self, 256, threshold)) def get_lut_range_full(self) -> tuple[float, float]: """Return full dynamic range Returns: tuple[float, float]: Lut range, tuple(min, max) """ return get_nan_range(self.data) # ---- Z-axis logarithmic scale -------------------------------------------- def get_zaxis_log_state(self) -> bool: """Return True if Z-axis is in logarithmic scale""" return self._is_zaxis_log def set_zaxis_log_state(self, state: bool) -> None: """Set Z-axis logarithmic scale state Args: state: True to enable logarithmic scale, False otherwise """ self._is_zaxis_log = state plot = self.plot() if state: self._lin_lut_range = self.get_lut_range() if self._log_data is None: self._recompute_log_data() self.set_lut_range(get_nan_range(self._log_data)) dtype = self._log_data.dtype else: self._log_data = None self.set_lut_range(self._lin_lut_range) dtype = self.data.dtype if self.interpolate[0] == INTERP_AA: self.interpolate = (INTERP_AA, self.interpolate[1].astype(dtype)) if plot is not None: plot.update_colormap_axis(self) def get_lut_range_max(self) -> tuple[float, float]: """Get maximum range for this dataset Returns: tuple[float, float]: Lut range, tuple(min, max) """ kind = self.data.dtype.kind if kind in np.typecodes["AllFloat"]: info = np.finfo(self.data.dtype) else: info = np.iinfo(self.data.dtype) return info.min, info.max def update_bounds(self) -> None: """Update image bounds to fit image shape""" if self.data is None: return self.bounds = QC.QRectF(0, 0, self.data.shape[1], self.data.shape[0]) def update_border(self) -> None: """Update image border rectangle to fit image shape""" bounds = self.boundingRect().getCoords() self.border_rect.set_rect(*bounds) def draw_border( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw image border rectangle Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ self.border_rect.draw(painter, xMap, yMap, canvasRect) def warn_if_non_linear_scale(self, painter: QPainter, canvasRect: QRectF) -> bool: """Warn if non-linear scale Args: painter: Painter canvasRect: Canvas rectangle Returns: True if non-linear scale """ plot: BasePlot = self.plot() if not isinstance( plot.axisScaleEngine(plot.X_BOTTOM), QwtLinearScaleEngine ) or not isinstance(plot.axisScaleEngine(plot.Y_LEFT), QwtLinearScaleEngine): painter.setPen(QC.Qt.red) painter.drawText( canvasRect, QC.Qt.AlignCenter, _("Non-linear scales are not supported for image items"), ) return True return False def draw_image( self, painter: QPainter, canvasRect: QRectF, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, ) -> None: """Draw image Args: painter: Painter canvasRect: Canvas rectangle src_rect: Source rectangle dst_rect: Destination rectangle xMap: X axis scale map yMap: Y axis scale map """ if self.warn_if_non_linear_scale(painter, canvasRect): return dest = _scale_rect( self.data, src_rect, self._offscreen, dst_rect, self.lut, self.interpolate ) qrect = QC.QRectF(QC.QPointF(dest[0], dest[1]), QC.QPointF(dest[2], dest[3])) painter.drawImage(qrect, self._image, qrect) def export_roi( self, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], dst_image: np.ndarray, apply_lut: bool = False, apply_interpolation: bool = False, original_resolution: bool = False, force_interp_mode: str | None = None, force_interp_size: int | None = None, ) -> None: """ Export a rectangular area of the image to another image Args: src_rect: Source rectangle dst_rect: Destination rectangle dst_image: Destination image apply_lut: Apply lut (Default value = False) apply_interpolation: Apply interpolation (Default value = False) original_resolution: Original resolution (Default value = False) force_interp_mode: Force interpolation mode (Default value = None) force_interp_size: Force interpolation size (Default value = None) """ if apply_lut: a, b, _bg, _cmap = self.lut else: a, b = 1.0, 0.0 interp = self.interpolate if apply_interpolation else (INTERP_NEAREST,) _scale_rect(self.data, src_rect, dst_image, dst_rect, (a, b, None), interp) # ---- QwtPlotItem API ----------------------------------------------------- def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ x1, y1, x2, y2 = canvasRect.getCoords() i1, i2 = xMap.invTransform(x1), xMap.invTransform(x2) j1, j2 = yMap.invTransform(y1), yMap.invTransform(y2) xl, yt, xr, yb = self.boundingRect().getCoords() dest = ( xMap.transform(xl), yMap.transform(yt), xMap.transform(xr) + 1, yMap.transform(yb) + 1, ) W = int(canvasRect.right()) H = int(canvasRect.bottom()) if self._offscreen.shape != (H, W): self._offscreen = np.empty((H, W), np.uint32) self._image = QG.QImage(self._offscreen, W, H, QG.QImage.Format_ARGB32) self._image.ndarray = self._offscreen self.notify_new_offscreen() self.draw_image(painter, canvasRect, (i1, j1, i2, j2), dest, xMap, yMap) self.draw_border(painter, xMap, yMap, canvasRect) def boundingRect(self) -> QRectF: """Return the bounding rectangle of the data Returns: Bounding rectangle of the data """ return self.bounds def notify_new_offscreen(self) -> None: """Notify that the offscreen image has changed""" # callback for those derived classes who need it pass def setVisible(self, enable: bool) -> None: """Set item visibility Args: enable: True if item is visible, False otherwise """ if not enable: self.unselect() # when hiding item, unselect it if enable: self.border_rect.show() else: self.border_rect.hide() QwtPlotItem.setVisible(self, enable) # ---- IBasePlotItem API ---------------------------------------------------- def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return ( IImageItemType, IVoiImageItemType, IColormapImageItemType, ITrackableItemType, ICSImageItemType, IExportROIImageItemType, ) def set_readonly(self, state: bool) -> None: """Set object readonly state Args: state: True if object is readonly, False otherwise """ self._readonly = state def is_readonly(self) -> bool: """Return object readonly state Returns: bool: True if object is readonly, False otherwise """ return self._readonly def set_private(self, state: bool) -> None: """Set object as private Args: state: True if object is private, False otherwise """ self._private = state def is_private(self) -> bool: """Return True if object is private Returns: bool: True if object is private, False otherwise """ return self._private def select(self) -> None: """ Select the object and eventually change its appearance to highlight the fact that it's selected """ self.selected = True self.border_rect.select() def unselect(self) -> None: """ Unselect the object and eventually restore its original appearance to highlight the fact that it's not selected anymore """ self.selected = False self.border_rect.unselect() def is_empty(self) -> bool: """Return True if the item is empty Returns: True if the item is empty, False otherwise """ return self.data is None or self.data.size == 0 def get_icon_name(self) -> str: """Return the icon name Returns: Icon name """ return self._icon_name def set_icon_name(self, icon_name: str) -> None: """Set the icon name Args: icon_name: Icon name """ self._icon_name = icon_name def set_selectable(self, state: bool) -> None: """Set item selectable state Args: state: True if item is selectable, False otherwise """ self._can_select = state def set_resizable(self, state: bool) -> None: """Set item resizable state (or any action triggered when moving an handle, e.g. rotation) Args: state: True if item is resizable, False otherwise """ self._can_resize = state def set_movable(self, state: bool) -> None: """Set item movable state Args: state: True if item is movable, False otherwise """ self._can_move = state def set_rotatable(self, state: bool) -> None: """Set item rotatable state Args: state: True if item is rotatable, False otherwise """ self._can_rotate = state def can_select(self) -> bool: """ Returns True if this item can be selected Returns: bool: True if item can be selected, False otherwise """ return self._can_select def can_resize(self) -> bool: """ Returns True if this item can be resized Returns: bool: True if item can be resized, False otherwise """ return self._can_resize and not getattr(self.param, "lock_position", False) def can_move(self) -> bool: """ Returns True if this item can be moved Returns: bool: True if item can be moved, False otherwise """ return self._can_move and not getattr(self.param, "lock_position", False) def can_rotate(self) -> bool: """ Returns True if this item can be rotated Returns: bool: True if item can be rotated, False otherwise """ return self._can_rotate and not getattr(self.param, "lock_position", False) def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ plot = self.plot() ax = self.xAxis() ay = self.yAxis() return self.border_rect.poly_hit_test(plot, ax, ay, pos) def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" pass def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ itemparams.add("ShapeParam", self, self.border_rect.shapeparam) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ self.border_rect.set_item_parameters(itemparams) def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ pass def move_local_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in canvas coordinates Args: old_pos: Old position new_pos: New position """ pass def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ pass def resize_with_selection(self, zoom_dx, zoom_dy): """ Resize the shape together with other selected items zoom_dx, zoom_dy : zoom factor for dx and dy """ pass def rotate_with_selection(self, angle): """ Rotate the shape together with other selected items angle : rotation angle """ pass # ---- IBaseImageItem API -------------------------------------------------- def can_sethistogram(self) -> bool: """ Returns True if this item can be associated with a levels histogram Returns: bool: True if item can be associated with a levels histogram, False otherwise """ return False def get_histogram( self, nbins: int, drange: tuple[float, float] | None = None ) -> tuple[np.ndarray, np.ndarray]: """ Return a tuple (hist, bins) where hist is a list of histogram values Args: nbins: number of bins drange: lower and upper range of the bins. If not provided, range is simply (data.min(), data.max()). Values outside the range are ignored. Returns: Tuple (hist, bins) """ if self.data is None: return [0], [0, 1] if self.histogram_cache is None or nbins != self.histogram_cache[0].shape[0]: if True: # Note: np.histogram does not accept data with NaN res = np.histogram( self.data[~np.isnan(self.data)], bins=nbins, range=drange ) else: # TODO: _histogram is faster, but caching is buggy in this version _min, _max = get_nan_range(self.data) if self.data.dtype in (np.float64, np.float32): bins = np.unique( np.array( np.linspace(_min, _max, nbins + 1), dtype=self.data.dtype ) ) else: bins = np.arange(_min, _max + 2, dtype=self.data.dtype) res2 = np.zeros((bins.size + 1,), np.uint32) _histogram(self.data.flatten(), bins, res2) res = res2[1:-1], bins self.histogram_cache = res else: res = self.histogram_cache return res def __process_cross_section(self, ydata, apply_lut): if apply_lut: a, b, _bg, _cmap = self.lut return (ydata * a + b).clip(0, LUT_MAX) else: return ydata def get_xsection(self, y0: float | int, apply_lut: bool = False) -> np.ndarray: """Return cross section along x-axis at y=y0 Args: y0: Y0 apply_lut: Apply lut (Default value = False) Returns: Cross section along x-axis at y=y0 """ _ix, iy = self.get_closest_indexes(0, y0) return ( self.get_x_values(0, self.data.shape[1]), self.__process_cross_section(self.data[iy, :], apply_lut), ) def get_ysection(self, x0: float | int, apply_lut: bool = False) -> np.ndarray: """Return cross section along y-axis at x=x0 Args: x0: X0 apply_lut: Apply lut (Default value = False) Returns: Cross section along y-axis at x=x0 """ ix, _iy = self.get_closest_indexes(x0, 0) return ( self.get_y_values(0, self.data.shape[0]), self.__process_cross_section(self.data[:, ix], apply_lut), ) def get_average_xsection( self, x0: float, y0: float, x1: float, y1: float, apply_lut: bool = False ) -> np.ndarray: """Return average cross section along x-axis for the given rectangle Args: x0: X0 of top left corner y0: Y0 of top left corner x1: X1 of bottom right corner y1: Y1 of bottom right corner apply_lut: Apply lut (Default value = False) Returns: Average cross section along x-axis """ ix0, iy0, ix1, iy1 = self.get_closest_index_rect( x0, y0, x1, y1, avoid_empty=False ) ydata = self.data[iy0:iy1, ix0:ix1] if ydata.size == 0: return np.array([]), np.array([]) ydata = ydata.mean(axis=0) return ( self.get_x_values(ix0, ix1), self.__process_cross_section(ydata, apply_lut), ) def get_average_ysection( self, x0: float, y0: float, x1: float, y1: float, apply_lut: bool = False ) -> np.ndarray: """Return average cross section along y-axis Args: x0: X0 of top left corner y0: Y0 of top left corner x1: X1 of bottom right corner y1: Y1 of bottom right corner apply_lut: Apply lut (Default value = False) Returns: Average cross section along y-axis """ ix0, iy0, ix1, iy1 = self.get_closest_index_rect( x0, y0, x1, y1, avoid_empty=False ) ydata = self.data[iy0:iy1, ix0:ix1] if ydata.size == 0: return np.array([]), np.array([]) ydata = ydata.mean(axis=1) return ( self.get_y_values(iy0, iy1), self.__process_cross_section(ydata, apply_lut), ) assert_interfaces_valid(BaseImageItem) # ============================================================================== # Raw Image item (image item without scale) # ============================================================================== class RawImageItem(BaseImageItem): """ Construct a simple image item * data: 2D NumPy array * param: image parameters (:py:class:`.styles.RawImageParam` instance) """ __implements__ = ( IBasePlotItem, IBaseImageItem, IHistDataSource, IVoiImageItemType, ISerializableType, ) # ---- BaseImageItem API --------------------------------------------------- def get_default_param(self) -> RawImageParam: """Return instance of the default image param DataSet Returns: RawImageParam: Default image param DataSet """ return RawImageParam(_("Image")) # ---- Serialization methods ----------------------------------------------- def __reduce__(self) -> tuple: """Return state information for pickling""" fname = self.get_filename() if fname is None: fn_or_data = self.data else: fn_or_data = fname state = self.param, self.get_lut_range(), fn_or_data, self.z() res = (self.__class__, (), state) return res def __setstate__(self, state: tuple) -> None: """Restore state information for pickling""" param, lut_range, fn_or_data, z = state self.param = param if isinstance(fn_or_data, str): self.set_filename(fn_or_data) self.load_data() elif fn_or_data is not None: # should happen only with previous API self.set_data(fn_or_data) self.set_lut_range(lut_range) self.setZ(z) self.param.update_item(self) def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ fname = self.get_filename() load_from_fname = fname is not None data = None if load_from_fname else self.data writer.write(load_from_fname, group_name="load_from_fname") writer.write(fname, group_name="fname") writer.write(data, group_name="Zdata") writer.write(self.get_lut_range(), group_name="lut_range") writer.write(self.z(), group_name="z") self.param.update_param(self) writer.write(self.param, group_name="imageparam") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ lut_range = reader.read(group_name="lut_range") if reader.read(group_name="load_from_fname"): name = reader.read(group_name="fname", func=reader.read_unicode) self.set_filename(name) self.load_data() else: data = reader.read(group_name="Zdata", func=reader.read_array) self.set_data(data) self.set_lut_range(lut_range) self.setZ(reader.read("z")) self.param = self.get_default_param() reader.read("imageparam", instance=self.param) self.param.update_item(self) # ---- Public API ---------------------------------------------------------- def load_data(self, lut_range: list[float, float] | None = None) -> None: """Load data from item filename attribute and eventually apply specified lut_range Args: lut_range: Lut range (Default value = None) """ data = io.imread(self.get_filename(), to_grayscale=True) self.set_data(data, lut_range=lut_range) # ---- IBasePlotItem API --------------------------------------------------- def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return ( IImageItemType, IVoiImageItemType, IColormapImageItemType, ITrackableItemType, ICSImageItemType, ISerializableType, IExportROIImageItemType, ) def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" self.param.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ BaseImageItem.get_item_parameters(self, itemparams) self.update_item_parameters() itemparams.add("ImageParam", self, self.param) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ update_dataset(self.param, itemparams.get("ImageParam"), visible_only=True) self.param.update_item(self) BaseImageItem.set_item_parameters(self, itemparams) # ---- IBaseImageItem API -------------------------------------------------- def can_sethistogram(self) -> bool: """ Returns True if this item can be associated with a levels histogram Returns: bool: True if item can be associated with a levels histogram, False otherwise """ return True assert_interfaces_valid(RawImageItem) PlotPyStack-PlotPy-2af0906/plotpy/items/image/filter.py000066400000000000000000000262651525747167300231320ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import sys from collections.abc import Callable from typing import TYPE_CHECKING import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from plotpy.coords import canvas_to_axes from plotpy.interfaces import ( IBaseImageItem, IBasePlotItem, IColormapImageItemType, IImageItemType, ITrackableItemType, IVoiImageItemType, ) from plotpy.items.image.base import BaseImageItem try: from plotpy._scaler import _scale_xy except ImportError: print( ("Module 'plotpy.items.image.filter': missing C extension"), file=sys.stderr, ) print( ("try running :python setup.py build_ext --inplace -c mingw32"), file=sys.stderr, ) raise if TYPE_CHECKING: import qwt.color_map import qwt.scale_map from qtpy.QtCore import QPointF, QRectF from qtpy.QtGui import QPainter from plotpy.interfaces import IItemType from plotpy.items import RawImageItem, XYImageItem from plotpy.styles import ImageFilterParam, ItemParameters from plotpy.widgets.colormap.widget import EditableColormap # ============================================================================== # Image with custom X, Y axes # ============================================================================== def to_bins(x): """Convert point center to point bounds Args: x: 1D array of point centers Returns: 1D array of bin edges (length = len(x) + 1) Note: When x has only 1 element, we assume a bin width of 1.0 centered on the point. """ bx = np.zeros((x.shape[0] + 1,), float) if x.shape[0] == 1: # Single point: assume bin width of 1.0 centered on the point bx[0] = x[0] - 0.5 bx[1] = x[0] + 0.5 else: bx[1:-1] = (x[:-1] + x[1:]) / 2 bx[0] = x[0] - (x[1] - x[0]) / 2 bx[-1] = x[-1] + (x[-1] - x[-2]) / 2 return bx # TODO: Implement get_filter methods for image items other than XYImageItem! class ImageFilterItem(BaseImageItem): """ Construct a rectangular area image filter item * image: :py:class:`.RawImageItem` instance * filter: function (x, y, data) --> data * param: image filter parameters (:py:class:`.ImageFilterParam` instance) """ __implements__ = (IBasePlotItem, IBaseImageItem) _can_select = True _can_resize = True _can_move = True _icon_name = "funct.png" def __init__( self, image: RawImageItem | None, filter: Callable, param: ImageFilterParam ) -> None: self.use_source_cmap = None # BaseImageItem constructor will try to set this item's color map # using the method 'set_color_map' self.image: RawImageItem | None = None super().__init__(param=param) self.border_rect.set_style("plot", "shape/imagefilter") self.image = image self.filter = filter self.imagefilterparam = param self.imagefilterparam.update_imagefilter(self) # ---- Public API ----------------------------------------------------------- def set_image(self, image: RawImageItem | None) -> None: """ Set the image item on which the filter will be applied * image: :py:class:`.RawImageItem` instance """ self.image = image def set_filter(self, filter: Callable) -> None: """ Set the filter function * filter: function (x, y, data) --> data """ self.filter = filter # ---- QwtPlotItem API ------------------------------------------------------ def boundingRect(self) -> QC.QRectF: """Return the bounding rectangle of the shape Returns: Bounding rectangle of the shape """ x0, y0, x1, y1 = self.border_rect.get_rect() return QC.QRectF(x0, y0, x1 - x0, y1 - y0) # ---- IBasePlotItem API ---------------------------------------------------- def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" BaseImageItem.update_item_parameters(self) self.imagefilterparam.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ BaseImageItem.get_item_parameters(self, itemparams) self.update_item_parameters() itemparams.add("ImageFilterParam", self, self.imagefilterparam) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ update_dataset( self.imagefilterparam, itemparams.get("ImageFilterParam"), visible_only=True ) self.imagefilterparam.update_imagefilter(self) BaseImageItem.set_item_parameters(self, itemparams) def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ npos = canvas_to_axes(self, pos) self.border_rect.move_point_to(handle, npos, ctrl) if self.plot(): self.plot().SIG_ITEM_HANDLE_MOVED.emit(self) def move_local_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in canvas coordinates Args: old_pos: Old position new_pos: New position """ old_pt = canvas_to_axes(self, old_pos) new_pt = canvas_to_axes(self, new_pos) self.border_rect.move_shape(old_pt, new_pt) if self.plot(): self.plot().SIG_ITEM_MOVED.emit(self, *(old_pt + new_pt)) def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ self.border_rect.move_with_selection(delta_x, delta_y) def set_color_map( self, name_or_table: str | EditableColormap, invert: bool | None = None ) -> None: """Set colormap Args: name_or_table: Colormap name or colormap invert: True to invert colormap, False otherwise (Default value = None, i.e. do not change the default behavior) """ if self.use_source_cmap: if self.image is not None: self.image.set_color_map(name_or_table, invert) else: BaseImageItem.set_color_map(self, name_or_table, invert) def get_color_map(self) -> qwt.color_map.QwtLinearColorMap: """Get colormap""" if self.use_source_cmap: return self.image.get_color_map() else: return BaseImageItem.get_color_map(self) def get_lut_range(self) -> tuple[float, float]: """Get the current active lut range Returns: tuple[float, float]: Lut range, tuple(min, max) """ if self.use_source_cmap: return self.image.get_lut_range() else: return BaseImageItem.get_lut_range(self) def set_lut_range(self, lut_range: tuple[float, float]) -> None: """ Set the current active lut range Args: lut_range: Lut range, tuple(min, max) Example: >>> item.set_lut_range((0.0, 1.0)) """ if self.use_source_cmap: self.image.set_lut_range(lut_range) else: BaseImageItem.set_lut_range(self, lut_range) # ---- IBaseImageItem API --------------------------------------------------- def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return ( IImageItemType, IVoiImageItemType, IColormapImageItemType, ITrackableItemType, ) def can_sethistogram(self) -> bool: """ Returns True if this item can be associated with a levels histogram Returns: bool: True if item can be associated with a levels histogram, False otherwise """ return True class XYImageFilterItem(ImageFilterItem): """ Construct a rectangular area image filter item * image: :py:class:`.XYImageItem` instance * filter: function (x, y, data) --> data * param: image filter parameters (:py:class:`.ImageFilterParam` instance) """ def __init__( self, image: XYImageItem, filter: Callable, param: ImageFilterParam ) -> None: self.image: XYImageItem | None = None super().__init__(image, filter, param) def set_image(self, image): """ Set the image item on which the filter will be applied * image: :py:class:`.XYImageItem` instance """ ImageFilterItem.set_image(self, image) def draw_image( self, painter: QPainter, canvasRect: QRectF, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, ) -> None: """Draw image Args: painter: Painter canvasRect: Canvas rectangle src_rect: Source rectangle dst_rect: Destination rectangle xMap: X axis scale map yMap: Y axis scale map """ bounds = self.boundingRect() filt_qrect = bounds & self.image.boundingRect() x0, y0, x1, y1 = filt_qrect.getCoords() i0, i1 = int(xMap.transform(x0)), int(xMap.transform(x1)) j0, j1 = int(yMap.transform(y0)), int(yMap.transform(y1)) dstRect = QC.QRect(i0, j0, i1 - i0, j1 - j0) if not dstRect.intersects(canvasRect.toAlignedRect()): return x, y, data = self.image.get_data(x0, y0, x1, y1) new_data = self.filter(x, y, data) self.data = new_data if self.use_source_cmap: lut = self.image.lut else: lut = self.lut W = canvasRect.width() H = canvasRect.height() if W <= 1 or H <= 1: return # x, y = x - self.image.x[0], y - self.image.y[0] dest = _scale_xy( new_data, (x, y, src_rect), self._offscreen, dstRect.getCoords(), lut, self.interpolate, ) qrect = QC.QRectF(QC.QPointF(dest[0], dest[1]), QC.QPointF(dest[2], dest[3])) painter.drawImage(qrect, self._image, qrect) assert_interfaces_valid(ImageFilterItem) PlotPyStack-PlotPy-2af0906/plotpy/items/image/masked.py000066400000000000000000000607531525747167300231110ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING import guidata.io import numpy as np import numpy.ma as ma from qtpy import QtCore as QC from plotpy import io from plotpy._scaler import INTERP_NEAREST, _scale_rect, _scale_xy from plotpy.config import _ from plotpy.interfaces import ( IBaseImageItem, IBasePlotItem, IExportROIImageItemType, IHistDataSource, IVoiImageItemType, ) from plotpy.items.image.standard import ImageItem, XYImageItem from plotpy.styles.image import MaskedImageParam, MaskedXYImageParam if TYPE_CHECKING: import guidata.io import qwt.scale_map from qtpy.QtCore import QRectF from qtpy.QtGui import QPainter from plotpy.plot import BasePlot class MaskedArea: """Defines masked areas for a masked image item Args: geometry: Geometry of the area ('rectangular' or anything else for circular) x0: X coordinate of first point y0: Y coordinate of first point x1: X coordinate of second point y1: Y coordinate of second point inside: True if the area is inside the geometry, False if it is outside """ def __init__( self, geometry: str | None = None, x0: float | None = None, y0: float | None = None, x1: float | None = None, y1: float | None = None, inside: bool | None = None, ) -> None: self.geometry = geometry self.x0 = x0 self.y0 = y0 self.x1 = x1 self.y1 = y1 self.inside = inside def __eq__(self, other): return ( self.geometry == other.geometry and self.x0 == other.x0 and self.y0 == other.y0 and self.x1 == other.x1 and self.y1 == other.y1 and self.inside == other.inside ) def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ for name in ("geometry", "inside", "x0", "y0", "x1", "y1"): writer.write(getattr(self, name), name) def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ self.geometry = reader.read("geometry") self.inside = reader.read("inside") for name in ("x0", "y0", "x1", "y1"): setattr(self, name, reader.read(name, func=reader.read_float)) class MaskedImageMixin: """Masked image mixin This class is a mixin providing array mask features to image items. It is used by :py:class:`.MaskedImageItem` and :py:class:`.MaskedXYImageItem` classes. Args: mask: 2D masked array """ def __init__(self, mask: ma.MaskedArray | None = None) -> None: self.orig_data: np.ndarray | None = None self._mask: ma.MaskedArray | None = mask self._mask_filename: str | None = None self._masked_areas: list[MaskedArea] = [] # ImageItem and XYImageItem attributes: self.data: ma.MaskedArray | None = None self.param: MaskedImageParam | MaskedXYImageParam | None = None # ---- Pickle methods ------------------------------------------------------- def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ writer.write(self.get_mask_filename(), group_name="mask_fname") writer.write_object_list(self._masked_areas, "masked_areas") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ mask_fname = reader.read(group_name="mask_fname", func=reader.read_unicode) masked_areas = reader.read_object_list("masked_areas", MaskedArea) if mask_fname: self.set_mask_filename(mask_fname) self.load_mask_data() elif masked_areas and self.data is not None: self.set_masked_areas(masked_areas) self.apply_masked_areas() # ---- Public API ----------------------------------------------------------- def update_mask(self) -> None: """Update mask""" if isinstance(self.data, np.ma.MaskedArray): filling_value = self.param.filling_value if filling_value is None or ( isinstance(filling_value, float) and np.isnan(filling_value) ): # Use a safe default for integer types when filling_value is None or NaN if np.issubdtype(self.data.dtype, np.integer): val = np.array(0, dtype=self.data.dtype) else: val = np.array(np.nan, dtype=self.data.dtype) else: # If filling_value is out of bounds for data dtype, get the default # fill value for that dtype if np.issubdtype(self.data.dtype, np.integer): info = np.iinfo(self.data.dtype) if filling_value < info.min or filling_value > info.max: # Using the default fill value thanks to the get_fill_value() # method of MaskedArray: filling_value = self.data.get_fill_value() val = np.array(filling_value).astype(self.data.dtype) self.data.set_fill_value(val) def set_mask(self, mask: ma.MaskedArray) -> None: """Set image mask Args: mask: 2D masked array """ self.data.mask = mask def get_mask(self) -> ma.MaskedArray | None: """Get image mask Returns: 2D masked array """ return self.data.mask def set_mask_filename(self, fname: str) -> None: """Set mask filename Args: fname: Mask filename There are two ways for pickling mask data of `MaskedImageItem` objects: 1. using the mask filename (as for data itself) 2. using the mask areas (`MaskedArea` instance, see set_mask_areas) When saving objects, the first method is tried and then, if no filename has been defined for mask data, the second method is used. """ self._mask_filename = fname def get_mask_filename(self) -> str: """Get mask filename Returns: Mask filename """ return self._mask_filename def load_mask_data(self) -> None: """Load mask data from file""" data = io.imread(self.get_mask_filename(), to_grayscale=True) self.set_mask(data) self._mask_changed() def set_masked_areas(self, areas: list[MaskedArea]) -> None: """Set masked areas Args: areas: List of masked areas .. seealso:: :py:meth:`.set_mask_filename` """ self._masked_areas = areas def get_masked_areas(self) -> list[MaskedArea]: """Get masked areas Returns: List of masked areas """ return self._masked_areas def add_masked_area( self, geometry: str, x0: float, y0: float, x1: float, y1: float, inside: bool ) -> None: """Add masked area Args: geometry: Area geometry x0: top left x coordinate y0: top left y coordinate x1: bottom right x coordinate y1: bottom right y coordinate inside: Inside or outside """ area = MaskedArea(geometry=geometry, x0=x0, y0=y0, x1=x1, y1=y1, inside=inside) for _area in self._masked_areas: if area == _area: return self._masked_areas.append(area) def _mask_changed(self) -> None: """Emit the :py:data:`.baseplot.BasePlot.SIG_MASK_CHANGED` signal""" plot: BasePlot = self.plot() if plot is not None: plot.SIG_MASK_CHANGED.emit(self) def apply_masked_areas(self) -> None: """Apply masked areas""" for area in self._masked_areas: if area.geometry == "rectangular": self.mask_rectangular_area( area.x0, area.y0, area.x1, area.y1, area.inside, trace=False, do_signal=False, ) else: self.mask_circular_area( area.x0, area.y0, area.x1, area.y1, area.inside, trace=False, do_signal=False, ) self._mask_changed() def mask_all(self) -> None: """Mask all pixels""" self.data.mask = True self._mask_changed() def unmask_all(self) -> None: """Unmask all pixels""" self.data.mask = np.ma.nomask self.set_masked_areas([]) self._mask_changed() def mask_rectangular_area( self, x0: float, y0: float, x1: float, y1: float, inside: bool = True, trace: bool = True, do_signal: bool = True, ) -> None: """Mask rectangular area Args: x0: top left x coordinate y0: top left y coordinate x1: bottom right x coordinate y1: bottom right y coordinate inside: if True (default), mask the inside of the area, otherwise mask the outside trace: if True (default), add the area to the list of masked areas do_signal: if True (default), emit the :py:data:`.baseplot.BasePlot.SIG_MASK_CHANGED` signal """ ix0, iy0, ix1, iy1 = self.get_closest_index_rect(x0, y0, x1, y1) if inside: self.data[iy0:iy1, ix0:ix1] = np.ma.masked else: indexes = np.ones(self.data.shape, dtype=bool) indexes[iy0:iy1, ix0:ix1] = False self.data[indexes] = np.ma.masked if trace: self.add_masked_area("rectangular", x0, y0, x1, y1, inside) if do_signal: self._mask_changed() def mask_circular_area( self, x0: float, y0: float, x1: float, y1: float, inside: bool = True, trace: bool = True, do_signal: bool = True, ) -> None: """Mask circular area (as a circle inscribed in a rectangle) Args: x0: top left x coordinate y0: top left y coordinate x1: bottom right x coordinate y1: bottom right y coordinate inside: if True (default), mask the inside of the area, otherwise mask the outside trace: if True (default), add the area to the list of masked areas do_signal: if True (default), emit the :py:data:`.baseplot.BasePlot.SIG_MASK_CHANGED` signal """ ix0, iy0, ix1, iy1 = self.get_closest_index_rect(x0, y0, x1, y1) xc, yc = 0.5 * (x0 + x1), 0.5 * (y0 + y1) radius = 0.5 * (x1 - x0) xdata, ydata = self.get_x_values(ix0, ix1), self.get_y_values(iy0, iy1) for ix in range(ix0, ix1): for iy in range(iy0, iy1): distance = np.sqrt( (xdata[ix - ix0] - xc) ** 2 + (ydata[iy - iy0] - yc) ** 2 ) if inside: if distance <= radius: self.data[iy, ix] = np.ma.masked elif distance > radius: self.data[iy, ix] = np.ma.masked if not inside: self.mask_rectangular_area(x0, y0, x1, y1, inside, trace=False) if trace: self.add_masked_area("circular", x0, y0, x1, y1, inside) if do_signal: self._mask_changed() def is_mask_visible(self) -> bool: """Return mask visibility Returns: True if mask is visible, False otherwise """ return self.param.show_mask def set_mask_visible(self, state: bool) -> None: """Set mask visibility Args: state: True to show mask, False to hide it """ self.param.show_mask = state plot = self.plot() if plot is not None: plot.replot() def _set_data(self, data: np.ndarray) -> None: """Set image data Args: data: 2D NumPy array """ self.orig_data = data self.data = data.view(np.ma.MaskedArray) self.set_mask(self._mask) self._mask = None # removing reference to this temporary array if self.param.filling_value is None: self.param.filling_value = self.data.get_fill_value() self.update_mask() class MaskedImageItem(ImageItem, MaskedImageMixin): """Masked image item Args: data: 2D NumPy array mask: 2D NumPy array param: image parameters """ __implements__ = ( IBasePlotItem, IBaseImageItem, IHistDataSource, IVoiImageItemType, IExportROIImageItemType, ) def __init__( self, data: np.ndarray | None = None, mask: np.ndarray | None = None, param: MaskedImageParam | None = None, ) -> None: self.orig_data = None MaskedImageMixin.__init__(self, mask=mask) ImageItem.__init__(self, data=data, param=param) # ---- BaseImageItem API --------------------------------------------------- def get_default_param(self) -> MaskedImageParam: """Return instance of the default MaskedImageParam DataSet""" return MaskedImageParam(_("Image")) # ---- Pickle methods ------------------------------------------------------- def __reduce__(self) -> tuple: """Reduce object to pickled state""" fname = self.get_filename() if fname is None: fn_or_data = self.data else: fn_or_data = fname state = ( self.param, self.get_lut_range(), fn_or_data, self.z(), self.get_mask_filename(), self.get_masked_areas(), ) res = (self.__class__, (), state) return res def __setstate__(self, state: tuple) -> None: """Set object state from pickled state""" param, lut_range, fn_or_data, z, mask_fname, old_masked_areas = state if old_masked_areas and isinstance(old_masked_areas[0], MaskedArea): masked_areas = old_masked_areas else: # Compatibility with old format masked_areas = [] for geometry, x0, y0, x1, y1, inside in old_masked_areas: area = MaskedArea( geometry=geometry, x0=x0, y0=y0, x1=x1, y1=y1, inside=inside ) masked_areas.append(area) self.param = param if isinstance(fn_or_data, str): self.set_filename(fn_or_data) self.load_data(lut_range) elif fn_or_data is not None: # should happen only with previous API self.set_data(fn_or_data, lut_range=lut_range) self.setZ(z) self.param.update_item(self) if mask_fname is not None: self.set_mask_filename(mask_fname) self.load_mask_data() elif masked_areas and self.data is not None: self.set_masked_areas(masked_areas) self.apply_masked_areas() def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ ImageItem.serialize(self, writer) MaskedImageMixin.serialize(self, writer) def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ ImageItem.deserialize(self, reader) MaskedImageMixin.deserialize(self, reader) # ---- BaseImageItem API ---------------------------------------------------- def draw_image( self, painter: QPainter, canvasRect: QRectF, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, ) -> None: """Draw image Args: painter: Painter canvasRect: Canvas rectangle src_rect: Source rectangle dst_rect: Destination rectangle xMap: X axis scale map yMap: Y axis scale map """ ImageItem.draw_image(self, painter, canvasRect, src_rect, dst_rect, xMap, yMap) if self.data is None: return if self.is_mask_visible(): _a, _b, bg, _cmap = self.lut # pylint: disable=too-many-function-args alpha_masked = ( np.uint32(255 * self.param.alpha_masked + 0.5).clip(0, 255) << 24 ) alpha_unmasked = ( np.uint32(255 * self.param.alpha_unmasked + 0.5).clip(0, 255) << 24 ) cmap = np.array( [ np.uint32(0x000000 & 0xFFFFFF) | alpha_unmasked, np.uint32(0xFFFFFF & 0xFFFFFF) | alpha_masked, ], dtype=np.uint32, ) lut = (1, 0, bg, cmap) shown_data = np.ma.getmaskarray(self.data) src2 = self._rescale_src_rect(src_rect) dst_rect = tuple([int(i) for i in dst_rect]) dest = _scale_rect( shown_data, src2, self._offscreen, dst_rect, lut, (INTERP_NEAREST,) ) qrect = QC.QRectF( QC.QPointF(dest[0], dest[1]), QC.QPointF(dest[2], dest[3]) ) painter.drawImage(qrect, self._image, qrect) # ---- RawImageItem API ----------------------------------------------------- def set_data( self, data: np.ndarray, lut_range: list[float, float] | None = None ) -> None: """Set image data Args: data: 2D NumPy array lut_range: LUT range -- tuple (levelmin, levelmax) (Default value = None) """ super().set_data(data, lut_range) MaskedImageMixin._set_data(self, data) class MaskedXYImageItem(XYImageItem, MaskedImageMixin): """XY masked image item Args: x: 1D NumPy array, must be increasing y: 1D NumPy array, must be increasing data: 2D NumPy array mask: 2D NumPy array param: image parameters """ __implements__ = ( IBasePlotItem, IBaseImageItem, IHistDataSource, IVoiImageItemType, IExportROIImageItemType, ) def __init__( self, x: np.ndarray | None = None, y: np.ndarray | None = None, data: np.ndarray | None = None, mask: np.ndarray | None = None, param: MaskedXYImageParam | None = None, ) -> None: self.orig_data = None MaskedImageMixin.__init__(self, mask=mask) XYImageItem.__init__(self, x=x, y=y, data=data, param=param) # ---- BaseImageItem API --------------------------------------------------- def get_default_param(self) -> MaskedXYImageParam: """Return instance of the default MaskedXYImageParam DataSet""" return MaskedXYImageParam(_("Image")) # ---- Pickle methods ------------------------------------------------------- def __reduce__(self) -> tuple: """Reduce object to pickled state""" fname = self.get_filename() if fname is None: fn_or_data = self.data else: fn_or_data = fname state = ( self.param, self.get_lut_range(), fn_or_data, self.x, self.y, self.z(), self.get_mask_filename(), self.get_masked_areas(), ) res = (self.__class__, (), state) return res def __setstate__(self, state: tuple) -> None: """Set object state from pickled state""" param, lut_range, fn_or_data, x, y, z, mask_fname, old_masked_areas = state if old_masked_areas and isinstance(old_masked_areas[0], MaskedArea): masked_areas = old_masked_areas else: # Compatibility with old format masked_areas = [] for geometry, x0, y0, x1, y1, inside in old_masked_areas: area = MaskedArea( geometry=geometry, x0=x0, y0=y0, x1=x1, y1=y1, inside=inside ) masked_areas.append(area) self.param = param if isinstance(fn_or_data, str): self.set_filename(fn_or_data) self.load_data(lut_range) elif fn_or_data is not None: # should happen only with previous API self.set_data(fn_or_data, lut_range=lut_range) self.set_xy(x, y) self.setZ(z) self.param.update_item(self) if mask_fname is not None: self.set_mask_filename(mask_fname) self.load_mask_data() elif masked_areas and self.data is not None: self.set_masked_areas(masked_areas) self.apply_masked_areas() def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ XYImageItem.serialize(self, writer) MaskedImageMixin.serialize(self, writer) def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ XYImageItem.deserialize(self, reader) MaskedImageMixin.deserialize(self, reader) # ---- BaseImageItem API ---------------------------------------------------- def draw_image( self, painter: QPainter, canvasRect: QRectF, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, ) -> None: """Draw image Args: painter: Painter canvasRect: Canvas rectangle src_rect: Source rectangle dst_rect: Destination rectangle xMap: X axis scale map yMap: Y axis scale map """ XYImageItem.draw_image( self, painter, canvasRect, src_rect, dst_rect, xMap, yMap ) if self.data is None: return if self.is_mask_visible(): _a, _b, bg, _cmap = self.lut # pylint: disable=too-many-function-args alpha_masked = ( np.uint32(255 * self.param.alpha_masked + 0.5).clip(0, 255) << 24 ) alpha_unmasked = ( np.uint32(255 * self.param.alpha_unmasked + 0.5).clip(0, 255) << 24 ) cmap = np.array( [ np.uint32(0x000000 & 0xFFFFFF) | alpha_unmasked, np.uint32(0xFFFFFF & 0xFFFFFF) | alpha_masked, ], dtype=np.uint32, ) lut = (1, 0, bg, cmap) shown_data = np.ma.getmaskarray(self.data) xytr = self.x, self.y, src_rect dst_rect = tuple([int(i) for i in dst_rect]) dest = _scale_xy( shown_data, xytr, self._offscreen, dst_rect, lut, (INTERP_NEAREST,) ) qrect = QC.QRectF( QC.QPointF(dest[0], dest[1]), QC.QPointF(dest[2], dest[3]) ) painter.drawImage(qrect, self._image, qrect) def set_data( self, data: np.ndarray, lut_range: list[float, float] | None = None ) -> None: """Set image data Args: data: 2D NumPy array lut_range: LUT range -- tuple (levelmin, levelmax) (Default value = None) """ super().set_data(data, lut_range) MaskedImageMixin._set_data(self, data) PlotPyStack-PlotPy-2af0906/plotpy/items/image/misc.py000066400000000000000000000664061525747167300226010ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import sys from typing import TYPE_CHECKING import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from plotpy import io from plotpy.config import _ from plotpy.constants import X_BOTTOM, Y_LEFT from plotpy.coords import axes_to_canvas from plotpy.interfaces import ( IBaseImageItem, IBasePlotItem, IColormapImageItemType, ICSImageItemType, IExportROIImageItemType, IHistDataSource, IImageItemType, ITrackableItemType, IVoiImageItemType, ) from plotpy.items.image.base import BaseImageItem, RawImageItem from plotpy.items.image.transform import TrImageItem from plotpy.mathutils.arrayfuncs import get_nan_range from plotpy.styles import Histogram2DParam, ImageParam, QuadGridParam try: from plotpy._scaler import _histogram, _scale_quads from plotpy.histogram2d import histogram2d, histogram2d_func except ImportError: print( ("Module 'plotpy.items.image.base': missing C extension"), file=sys.stderr, ) print( ("try running: python setup.py build_ext --inplace"), file=sys.stderr, ) raise if TYPE_CHECKING: import numpy import qwt.plot import qwt.scale_map from qtpy.QtCore import QPointF, QRectF from qtpy.QtGui import QPainter from plotpy.interfaces import IItemType from plotpy.items import RectangleShape from plotpy.plot import BasePlot from plotpy.styles.base import ItemParameters class QuadGridItem(RawImageItem): """Quad grid item Args: X: X coordinates Y: Y coordinates Z: Z coordinates param: Image parameters X, Y, Z: A structured grid of quadrilaterals, each quad is defined by (X[i], Y[i]), (X[i], Y[i+1]), (X[i+1], Y[i+1]), (X[i+1], Y[i]) """ __implements__ = (IBasePlotItem, IBaseImageItem, IHistDataSource, IVoiImageItemType) def __init__( self, X: np.ndarray, Y: np.ndarray, Z: np.ndarray, param: QuadGridParam | None = None, ) -> None: assert X is not None assert Y is not None assert Z is not None self.X = X self.Y = Y assert X.shape == Y.shape assert Z.shape == X.shape super().__init__(Z, param) self.set_data(Z) self.grid = 1 self.interpolate = (0, 0.5, 0.5) self.param.update_item(self) # ---- BaseImageItem API --------------------------------------------------- def get_default_param(self) -> QuadGridParam: """Return instance of the default image param DataSet""" return QuadGridParam(_("Quadrilaterals")) def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return ( IImageItemType, IVoiImageItemType, IColormapImageItemType, ITrackableItemType, ) def update_bounds(self) -> None: """Update image bounds to fit image shape""" xmin = self.X.min() xmax = self.X.max() ymin = self.Y.min() ymax = self.Y.max() self.bounds = QC.QRectF(xmin, ymin, xmax - xmin, ymax - ymin) def set_data( self, data: np.ndarray, X: np.ndarray | None = None, Y: np.ndarray | None = None, lut_range: list[float, float] | None = None, ) -> None: """Set image data Args: data: 2D NumPy array X: X coordinates (Default value = None) Y: Y coordinates (Default value = None) lut_range: LUT range -- tuple (levelmin, levelmax) (Default value = None) """ if lut_range is not None: _min, _max = lut_range else: _min, _max = get_nan_range(data) self.data = data self.histogram_cache = None if X is not None: assert Y is not None self.X = X self.Y = Y self.update_bounds() self.update_border() self.set_lut_range([_min, _max]) def draw_image( self, painter: QPainter, canvasRect: QRectF, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, ) -> None: """Draw image Args: painter: Painter canvasRect: Canvas rectangle src_rect: Source rectangle dst_rect: Destination rectangle xMap: X axis scale map yMap: Y axis scale map """ if self.warn_if_non_linear_scale(painter, canvasRect): return self._offscreen[...] = np.uint32(0) dest = _scale_quads( self.X, self.Y, self.data, src_rect, self._offscreen, dst_rect, self.lut, self.interpolate, self.grid, ) qrect = QC.QRectF(QC.QPointF(dest[0], dest[1]), QC.QPointF(dest[2], dest[3])) painter.drawImage(qrect, self._image, qrect) xl, yt, xr, yb = dest self._offscreen[yt:yb, xl:xr] = 0 def notify_new_offscreen(self) -> None: """Notify that the offscreen image has changed""" # we always ensure the offscreen is clean before drawing self._offscreen[...] = 0 assert_interfaces_valid(QuadGridItem) class Histogram2DItem(BaseImageItem): """2D histogram item Args: X: X coordinates (1-D array) Y: Y coordinates (1-D array) param: Histogram parameters """ __implements__ = (IBasePlotItem, IBaseImageItem, IHistDataSource, IVoiImageItemType) _icon_name = "histogram2d.png" def __init__( self, X: np.ndarray, Y: np.ndarray, param: Histogram2DParam | None = None, Z=None, ) -> None: if param is None: param = ImageParam(_("Image")) self._z = Z # allows set_bins to super().__init__(param=param) # Set by parameters self.nx_bins = 0 self.ny_bins = 0 self.logscale = None # internal use self._x = None self._y = None # Histogram parameters self.histparam = param self.histparam.update_histogram(self) self.set_lut_range([0, 10.0]) self.set_data(X, Y, Z) # ---- BaseImageItem API --------------------------------------------------- def get_default_param(self) -> Histogram2DParam: """Return instance of the default image param DataSet""" return Histogram2DParam(_("2D Histogram")) # ---- Public API ----------------------------------------------------------- def set_bins(self, NX: int, NY: int) -> None: """Set histogram bins Args: NX: Number of bins along X NY: Number of bins along Y """ self.nx_bins = NX self.ny_bins = NY self.data = np.zeros((self.ny_bins, self.nx_bins), float) if self._z is not None: self.data_tmp = np.zeros((self.ny_bins, self.nx_bins), float) def set_data( self, X: np.ndarray, Y: np.ndarray, Z: np.ndarray | None = None ) -> None: """Set histogram data Args: X: X coordinates Y: Y coordinates Z: Z coordinates (Default value = None) """ self._x = X self._y = Y self._z = Z self.bounds = QC.QRectF( QC.QPointF(X.min(), Y.min()), QC.QPointF(X.max(), Y.max()) ) self.update_border() # ---- QwtPlotItem API ------------------------------------------------------ fill_canvas = True def draw_image( self, painter: QPainter, canvasRect: QRectF, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, ) -> None: """Draw image Args: painter: Painter canvasRect: Canvas rectangle src_rect: Source rectangle dst_rect: Destination rectangle xMap: X axis scale map yMap: Y axis scale map """ if self.warn_if_non_linear_scale(painter, canvasRect): return computation = self.histparam.computation i1, j1, i2, j2 = src_rect if computation == -1 or self._z is None: self.data[:, :] = 0.0 nmax = histogram2d( self._x, self._y, i1, i2, j1, j2, self.data, self.logscale ) else: self.data_tmp[:, :] = 0.0 if computation in (2, 4): # sum, avg self.data[:, :] = 0.0 elif computation in (1, 5): # min, argmin val = np.inf self.data[:, :] = val elif computation in (0, 6): # max, argmax val = -np.inf self.data[:, :] = val elif computation == 3: self.data[:, :] = 1.0 histogram2d_func( self._x, self._y, self._z, i1, i2, j1, j2, self.data_tmp, self.data, computation, ) if computation in (0, 1, 5, 6): self.data[self.data == val] = np.nan else: self.data[self.data_tmp == 0.0] = np.nan if self.histparam.auto_lut: nmin, nmax = get_nan_range(self.data) self.set_lut_range([nmin, nmax]) self.plot().update_colormap_axis(self) src_rect = (0, 0, self.nx_bins, self.ny_bins) def drawfunc(*args): return BaseImageItem.draw_image(self, *args) if self.fill_canvas: x1, y1, x2, y2 = canvasRect.toAlignedRect().getCoords() drawfunc(painter, canvasRect, src_rect, (x1, y1, x2, y2), xMap, yMap) else: dst_rect = tuple([int(i) for i in dst_rect]) drawfunc(painter, canvasRect, src_rect, dst_rect, xMap, yMap) # ---- IBasePlotItem API --------------------------------------------------- def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return ( IColormapImageItemType, IImageItemType, ITrackableItemType, IVoiImageItemType, IColormapImageItemType, ICSImageItemType, ) def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" BaseImageItem.update_item_parameters(self) self.histparam.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ BaseImageItem.get_item_parameters(self, itemparams) itemparams.add("Histogram2DParam", self, self.histparam) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ update_dataset( self.histparam, itemparams.get("Histogram2DParam"), visible_only=True ) self.histparam = itemparams.get("Histogram2DParam") self.histparam.update_histogram(self) BaseImageItem.set_item_parameters(self, itemparams) # ---- IBaseImageItem API -------------------------------------------------- def can_sethistogram(self) -> bool: """ Returns True if this item can be associated with a levels histogram Returns: bool: True if item can be associated with a levels histogram, False otherwise """ return True def get_histogram( self, nbins: int, drange: tuple[float, float] | None = None ) -> tuple[np.ndarray, np.ndarray]: """ Return a tuple (hist, bins) where hist is a list of histogram values Args: nbins: number of bins drange: lower and upper range of the bins. If not provided, range is simply (data.min(), data.max()). Values outside the range are ignored. Returns: Tuple (hist, bins) """ if self.data is None: return [0], [0, 1] _min, _max = get_nan_range(self.data) if drange is not None: bins = np.linspace(drange[0], drange[1], nbins + 1) elif self.data.dtype in (np.float64, np.float32): bins = np.unique( np.array(np.linspace(_min, _max, nbins + 1), dtype=self.data.dtype) ) else: bins = np.arange(_min, _max + 2, dtype=self.data.dtype) res2 = np.zeros((bins.size + 1,), np.uint32) _histogram(self.data.flatten(), bins, res2) # toc("histo2") res = res2[1:-1], bins return res assert_interfaces_valid(Histogram2DItem) def assemble_imageitems( items: list[BaseImageItem], src_qrect: QC.QRectF, destw: int, desth: int, align: int | None = None, add_images: bool = False, apply_lut: bool = False, apply_interpolation: bool = False, original_resolution: bool = False, force_interp_mode: str | None = None, force_interp_size: int | None = None, ) -> np.ndarray: """Assemble together image items and return resulting pixel data Args: items: List of image items src_qrect: Source rectangle destw: Destination width desth: Destination height align: Alignment (Default value = None) add_images: Add images (Default value = False) apply_lut: Apply LUT (Default value = False) apply_interpolation: Apply interpolation (Default value = False) original_resolution: Original resolution (Default value = False) force_interp_mode: Force interpolation mode (Default value = None) force_interp_size: Force interpolation size (Default value = None) Returns: Pixel data """ # align width to 'align' bytes if align is not None: print( "plotpy.items.image.assemble_imageitems: since v2.2, " "the `align` option is ignored", file=sys.stderr, ) align = 1 # XXX: Byte alignment is disabled until further notice! aligned_destw = int(align * ((int(destw) + align - 1) / align)) aligned_desth = int(desth * aligned_destw / destw) try: output = np.zeros((aligned_desth, aligned_destw), np.float32) except ValueError: raise MemoryError if not add_images: dst_image = output dst_rect = (0, 0, aligned_destw, aligned_desth) src_rect = list(src_qrect.getCoords()) # The source QRect is generally coming from a rectangle shape which is # adjusted to fit a given ROI on the image. So the rectangular area is # aligned with image pixel edges: to avoid any rounding error, we reduce # the rectangle area size by one half of a pixel, so that the area is now # aligned with the center of image pixels. pixel_width = src_qrect.width() / float(destw) pixel_height = src_qrect.height() / float(desth) src_rect[0] += 0.5 * pixel_width src_rect[1] += 0.5 * pixel_height src_rect[2] -= 0.5 * pixel_width src_rect[3] -= 0.5 * pixel_height # Convert to tuple for compatibility with C extension src_rect = tuple(src_rect) for it in sorted(items, key=lambda obj: obj.z()): if it.isVisible() and src_qrect.intersects(it.boundingRect()): if add_images: dst_image = np.zeros_like(output) it.export_roi( src_rect=src_rect, dst_rect=dst_rect, dst_image=dst_image, apply_lut=apply_lut, apply_interpolation=apply_interpolation, original_resolution=original_resolution, force_interp_mode=force_interp_mode, force_interp_size=force_interp_size, ) if add_images: output += dst_image return output def get_plot_qrect(plot: qwt.plot.QwtPlot, p0: QPointF, p1: QPointF) -> QRectF: """Get plot rectangle, in plot coordinates, from two canvas points Args: plot: Plot p0: First point p1: Second point Returns: Plot rectangle """ ax, ay = X_BOTTOM, Y_LEFT p0x, p0y = plot.invTransform(ax, p0.x()), plot.invTransform(ay, p0.y()) p1x, p1y = plot.invTransform(ax, p1.x() + 1), plot.invTransform(ay, p1.y() + 1) return QC.QRectF(p0x, p0y, p1x - p0x, p1y - p0y) def get_items_in_rectangle( plot: BasePlot, p0: QPointF, p1: QPointF, item_type: type | None = None, intersect: bool = True, ) -> list[BaseImageItem]: """Return items which bounding rectangle intersects (p0, p1) Args: plot: Plot p0: First point p1: Second point item_type: Item type (if None, use `IExportROIImageItemType`) intersect: Intersect (Default value = True) Returns: List of items """ if item_type is None: item_type = IExportROIImageItemType items = plot.get_items(item_type=item_type) src_qrect = get_plot_qrect(plot, p0, p1) if intersect: return [it for it in items if src_qrect.intersects(it.boundingRect())] else: # contains return [it for it in items if src_qrect.contains(it.boundingRect())] def compute_trimageitems_original_size( items: list[TrImageItem], src_w: float, src_h: float, ) -> tuple[float, float]: """Compute `TrImageItem` original size from max dx and dy Args: items: List of image items src_w: Source width (in plot axis units) src_h: Source height (in plot axis units) Returns: Tuple of original size .. note:: The returned size is always positive: when the source rectangle is defined on a reversed axis, ``src_w`` and/or ``src_h`` may be negative. The original (pixel) size is intrinsically positive, independent of axis orientation. """ src_w, src_h = abs(src_w), abs(src_h) trparams = [item.get_transform() for item in items if isinstance(item, TrImageItem)] if trparams: dx_max = max([dx for _x, _y, _angle, dx, _dy, _hf, _vf in trparams]) dy_max = max([dy for _x, _y, _angle, _dx, dy, _hf, _vf in trparams]) return src_w / dx_max, src_h / dy_max return src_w, src_h def compute_image_items_original_size( items: list[BaseImageItem], plot: qwt.plot.QwtPlot, p0: QPointF, p1: QPointF, ) -> tuple[float, float]: """Compute the **native pixel resolution** of a rectangular selection across the given image items. The "Original size" semantics is *original resolution*: the returned size is the number of source pixels that span the selection at the item's native resolution, *independent of axis orientation or scaling*. When the selection is larger than the plotted image, the returned size is consequently larger than the image (the missing area will be padded by the export step). When the selection is smaller, it is smaller in pixels โ€” there is **no** clipping to the image bounding rectangle, so that exporting at "Original size" always preserves the source pixel density. Args: plot: Plot items: List of image items in the selection p0: First canvas point (top-left, in canvas coordinates) p1: Second canvas point (bottom-right, in canvas coordinates) Returns: Tuple ``(width, height)`` in pixels (always positive). When no compatible item is found, falls back to the absolute axis-units size of the selection. """ p0x = plot.invTransform(X_BOTTOM, p0.x()) p0y = plot.invTransform(Y_LEFT, p0.y()) p1x = plot.invTransform(X_BOTTOM, p1.x() + 1) p1y = plot.invTransform(Y_LEFT, p1.y() + 1) sel_x0, sel_x1 = sorted([p0x, p1x]) sel_y0, sel_y1 = sorted([p0y, p1y]) sel_w = sel_x1 - sel_x0 sel_h = sel_y1 - sel_y0 widths: list[float] = [] heights: list[float] = [] for item in items: data = getattr(item, "data", None) if data is None: continue if isinstance(item, TrImageItem): # Use the item's affine transform (handles rotation and shear) get_pix = item.get_pixel_coordinates try: x0p, y0p = get_pix(sel_x0, sel_y0) x1p, y1p = get_pix(sel_x1, sel_y1) except (ValueError, TypeError, IndexError): continue widths.append(abs(x1p - x0p)) heights.append(abs(y1p - y0p)) else: # For ImageItem / XYImageItem: convert the (possibly oversized) # selection to pixels via the item's own pixel density. This # avoids ``XYImageItem.get_pixel_coordinates`` clamping to # integer indices and yields oversized values when the # selection extends beyond the image โ€” consistently with the # historical behavior of ``ImageItem``. brect = item.boundingRect() bw = abs(brect.width()) bh = abs(brect.height()) if bw <= 0 or bh <= 0: continue widths.append(sel_w / bw * data.shape[1]) heights.append(sel_h / bh * data.shape[0]) if widths: return max(widths), max(heights) # Fallback: axis-units size (always positive) _src_x, _src_y, src_w, src_h = get_plot_qrect(plot, p0, p1).getRect() return abs(src_w), abs(src_h) def get_image_from_qrect( plot: BasePlot, p0: QPointF, p1: QPointF, src_size: tuple[float, float] | None = None, adjust_range: str | None = None, item_type: type | None = None, apply_lut: bool = False, apply_interpolation: bool = False, original_resolution: bool = False, add_images: bool = False, force_interp_mode: str | None = None, force_interp_size: int | None = None, ) -> np.ndarray: """Get image pixel data from rectangle area Args: plot: Plot p0: First point (top-left) p1: Second point (bottom-right) src_size: Source size (Default value = None) adjust_range: Adjust range (Default value = None) item_type: Item type (Default value = None) apply_lut: Apply LUT (Default value = False) apply_interpolation: Apply interpolation (Default value = False) original_resolution: Original resolution (Default value = False) add_images: Add images (Default value = False) force_interp_mode: Force interpolation mode (Default value = None) force_interp_size: Force interpolation size (Default value = None) Returns: Image pixel data """ assert adjust_range in (None, "normalize", "original") items = get_items_in_rectangle(plot, p0, p1, item_type=item_type) if not items: raise TypeError(_("There is no supported image item in current plot.")) if src_size is None: destw, desth = compute_image_items_original_size(items, plot, p0, p1) else: # The only benefit to pass the src_size list is to avoid any # rounding error in the transformation computed in `get_plot_qrect` src_w, src_h = src_size destw, desth = compute_trimageitems_original_size(items, src_w, src_h) data = get_image_from_plot( plot, p0, p1, destw=destw, desth=desth, apply_lut=apply_lut, add_images=add_images, apply_interpolation=apply_interpolation, original_resolution=original_resolution, force_interp_mode=force_interp_mode, force_interp_size=force_interp_size, ) if adjust_range is None: return data dtype = None for item in items: if dtype is None or item.data.dtype.itemsize > dtype.itemsize: dtype = item.data.dtype if adjust_range == "normalize": data = io.scale_data_to_dtype(data, dtype=dtype) else: data = np.array(data, dtype=dtype) return data def get_image_in_shape( obj: RectangleShape, norm_range: bool = False, item_type: type | None = None, apply_lut: bool = False, apply_interpolation: bool = False, ) -> np.ndarray: """Get image pixel data from rectangle shape Args: obj: Rectangle shape norm_range: Normalize range (Default value = False) item_type: Item type (Default value = None) apply_lut: Apply LUT (Default value = False) apply_interpolation: Apply interpolation (Default value = False) Returns: Image pixel data """ x0, y0, x1, y1 = obj.get_rect() (x0, x1), (y0, y1) = sorted([x0, x1]), sorted([y0, y1]) xc0, yc0 = axes_to_canvas(obj, x0, y0) xc1, yc1 = axes_to_canvas(obj, x1, y1) adjust_range = "normalize" if norm_range else "original" return get_image_from_qrect( obj.plot(), QC.QPointF(xc0, yc0), QC.QPointF(xc1, yc1), src_size=(x1 - x0, y1 - y0), adjust_range=adjust_range, item_type=item_type, apply_lut=apply_lut, apply_interpolation=apply_interpolation, original_resolution=True, ) def get_image_from_plot( plot: BasePlot, p0: QPointF, p1: QPointF, destw: int | None = None, desth: int | None = None, add_images: bool = False, apply_lut: bool = False, apply_interpolation: bool = False, original_resolution: bool = False, force_interp_mode: str | None = None, force_interp_size: int | None = None, ) -> numpy.ndarray: """Get image pixel data from plot area Args: plot: Plot p0: First point (top-left) p1: Second point (bottom-right) destw: Destination width (Default value = None) desth: Destination height (Default value = None) add_images: Add superimposed images (instead of replace by the foreground) apply_lut: Apply LUT (Default value = False) apply_interpolation: Apply interpolation (Default value = False) original_resolution: Original resolution (Default value = False) force_interp_mode: Force interpolation mode (Default value = None) force_interp_size: Force interpolation size (Default value = None) Returns: Image pixel data """ if destw is None: destw = p1.x() - p0.x() + 1 if desth is None: desth = p1.y() - p0.y() + 1 items = plot.get_items(item_type=IExportROIImageItemType) qrect = get_plot_qrect(plot, p0, p1) return assemble_imageitems( items, qrect, destw, desth, # align=4, add_images=add_images, apply_lut=apply_lut, apply_interpolation=apply_interpolation, original_resolution=original_resolution, force_interp_mode=force_interp_mode, force_interp_size=force_interp_size, ) PlotPyStack-PlotPy-2af0906/plotpy/items/image/standard.py000066400000000000000000000771031525747167300234420ustar00rootroot00000000000000# -*- coding: utf-8 -*- # pylint: disable=C0103 from __future__ import annotations import sys from typing import TYPE_CHECKING import numpy as np from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from plotpy import io from plotpy.config import _ from plotpy.constants import LUTAlpha from plotpy.coords import canvas_to_axes, pixelround from plotpy.interfaces import ( IBaseImageItem, IBasePlotItem, IColormapImageItemType, ICSImageItemType, IExportROIImageItemType, IHistDataSource, IImageItemType, ISerializableType, ITrackableItemType, IVoiImageItemType, ) from plotpy.items.image.base import RawImageItem from plotpy.items.image.filter import XYImageFilterItem, to_bins from plotpy.styles.image import ImageParam, RGBImageParam, XYImageParam if TYPE_CHECKING: import guidata.io import qwt.scale_map from qtpy.QtCore import QPointF, QRectF from qtpy.QtGui import QColor, QPainter from plotpy.interfaces import IItemType from plotpy.widgets.colormap.widget import EditableColormap try: from plotpy._scaler import INTERP_NEAREST, _scale_rect, _scale_xy except ImportError: print( ("Module 'plotpy.items.image': missing C extension"), file=sys.stderr, ) print( ("try running :python setup.py build_ext --inplace -c mingw32"), file=sys.stderr, ) raise # ============================================================================== # Image item # ============================================================================== class ImageItem(RawImageItem): """Image item Args: data: 2D NumPy array param: Image parameters """ _can_move = True _can_resize = True __implements__ = ( IBasePlotItem, IBaseImageItem, IHistDataSource, IVoiImageItemType, IExportROIImageItemType, ) def __init__( self, data: np.ndarray | None = None, param: ImageParam | None = None ) -> None: self.xmin = None self.xmax = None self.ymin = None self.ymax = None super().__init__(data=data, param=param) # ---- BaseImageItem API --------------------------------------------------- def get_default_param(self) -> ImageParam: """Return instance of the default image param DataSet""" return ImageParam(_("Image")) # ---- Serialization methods ----------------------------------------------- def __reduce__(self) -> tuple: """Reduce object to be pickled""" fname = self.get_filename() if fname is None: fn_or_data = self.data else: fn_or_data = fname (xmin, xmax), (ymin, ymax) = self.get_xdata(), self.get_ydata() state = ( self.param, self.get_lut_range(), fn_or_data, self.z(), xmin, xmax, ymin, ymax, ) res = (self.__class__, (), state) return res def __setstate__(self, state: tuple) -> None: """Set object state from pickled state""" param, lut_range, fn_or_data, z, xmin, xmax, ymin, ymax = state self.set_xdata(xmin, xmax) self.set_ydata(ymin, ymax) self.param = param if isinstance(fn_or_data, str): self.set_filename(fn_or_data) self.load_data() elif fn_or_data is not None: # should happen only with previous API self.set_data(fn_or_data) self.set_lut_range(lut_range) self.setZ(z) self.param.update_item(self) def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ super().serialize(writer) (xmin, xmax), (ymin, ymax) = self.get_xdata(), self.get_ydata() writer.write(xmin, group_name="xmin") writer.write(xmax, group_name="xmax") writer.write(ymin, group_name="ymin") writer.write(ymax, group_name="ymax") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ super().deserialize(reader) for attr in ("xmin", "xmax", "ymin", "ymax"): # Note: do not be tempted to write the symetric code in `serialize` # because calling `get_xdata` and `get_ydata` is necessary setattr(self, attr, reader.read(attr, func=reader.read_float)) # ---- Public API ---------------------------------------------------------- def get_xdata(self, aligned=True) -> tuple[float, float]: """Get X data range Args: aligned: True if aligned (Default value = True) Returns: (xmin, xmax) tuple """ xmin, xmax = self.xmin, self.xmax if xmin is None: xmin = 0.0 if xmax is None: xmax = self.data.shape[1] if aligned: dx = 0.5 * (xmax - xmin) / self.data.shape[1] xmin -= dx xmax -= dx return xmin, xmax def get_ydata(self, aligned=True) -> tuple[float, float]: """Get Y data range Args: aligned: True if aligned (Default value = True) Returns: (ymin, ymax) tuple """ ymin, ymax = self.ymin, self.ymax if ymin is None: ymin = 0.0 if ymax is None: ymax = self.data.shape[0] if aligned: dy = 0.5 * (ymax - ymin) / self.data.shape[0] ymin -= dy ymax -= dy return ymin, ymax def set_xdata(self, xmin: float | None = None, xmax: float | None = None) -> None: """Set X data range Args: xmin: Minimum X value xmax: Maximum X value """ self.xmin, self.xmax = xmin, xmax def set_ydata(self, ymin: float | None = None, ymax: float | None = None) -> None: """Set Y data range Args: ymin: Minimum Y value ymax: Maximum Y value """ self.ymin, self.ymax = ymin, ymax def update_bounds(self) -> None: """Update image bounds to fit image shape""" if self.data is None: return (xmin, xmax), (ymin, ymax) = self.get_xdata(), self.get_ydata() self.bounds = QC.QRectF(QC.QPointF(xmin, ymin), QC.QPointF(xmax, ymax)) # ---- BaseImageItem API --------------------------------------------------- def get_pixel_coordinates(self, xplot: float, yplot: float) -> tuple[float, float]: """Get pixel coordinates from plot coordinates Args: xplot: X plot coordinate yplot: Y plot coordinate Returns: Pixel coordinates """ (xmin, xmax), (ymin, ymax) = self.get_xdata(), self.get_ydata() xpix = self.data.shape[1] * (xplot - xmin) / float(xmax - xmin) ypix = self.data.shape[0] * (yplot - ymin) / float(ymax - ymin) return xpix, ypix def get_plot_coordinates(self, xpixel: float, ypixel: float) -> tuple[float, float]: """Get plot coordinates from pixel coordinates Args: xpixel: X pixel coordinate ypixel: Y pixel coordinate Returns: Plot coordinates """ (xmin, xmax), (ymin, ymax) = self.get_xdata(), self.get_ydata() xplot = xmin + (xmax - xmin) * xpixel / float(self.data.shape[1]) yplot = ymin + (ymax - ymin) * ypixel / float(self.data.shape[0]) return xplot, yplot def get_x_values(self, i0: int, i1: int) -> np.ndarray: """Get X values from pixel indexes Args: i0: First index i1: Second index Returns: X values corresponding to the given pixel indexes """ xmin, xmax = self.get_xdata() def xfunc(index): return xmin + (xmax - xmin) * index / float(self.data.shape[1]) return np.linspace(xfunc(i0), xfunc(i1), i1 - i0, endpoint=False) def get_y_values(self, j0: int, j1: int) -> np.ndarray: """Get Y values from pixel indexes Args: j0: First index j1: Second index Returns: Y values corresponding to the given pixel indexes """ ymin, ymax = self.get_ydata() def yfunc(index): return ymin + (ymax - ymin) * index / float(self.data.shape[0]) return np.linspace(yfunc(j0), yfunc(j1), j1 - j0, endpoint=False) def get_closest_coordinates(self, x: float, y: float) -> tuple[float, float]: """ Get the closest coordinates to the given point Args: x: X coordinate y: Y coordinate Returns: tuple[float, float]: Closest coordinates """ xmin, xmax = self.get_xdata(aligned=False) ymin, ymax = self.get_ydata(aligned=False) i, j = self.get_closest_indexes(x, y) xpix = np.linspace(xmin, xmax, self.data.shape[1] + 1) ypix = np.linspace(ymin, ymax, self.data.shape[0] + 1) return xpix[i], ypix[j] def _rescale_src_rect( self, src_rect: tuple[float, float, float, float] ) -> tuple[float, float, float, float]: """Rescale source rectangle Args: src_rect: Source rectangle Returns: Rescaled source rectangle """ sxl, syt, sxr, syb = src_rect xl, yt, xr, yb = self.boundingRect().getCoords() H, W = self.data.shape[:2] if xr - xl != 0: x0 = W * (sxl - xl) / (xr - xl) x1 = W * (sxr - xl) / (xr - xl) else: x0 = x1 = 0 if yb - yt != 0: y0 = H * (syt - yt) / (yb - yt) y1 = H * (syb - yt) / (yb - yt) else: y0 = y1 = 0 return x0, y0, x1, y1 def draw_image( self, painter: QPainter, canvasRect: QRectF, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, ) -> None: """Draw image Args: painter: Painter canvasRect: Canvas rectangle src_rect: Source rectangle dst_rect: Destination rectangle xMap: X axis scale map yMap: Y axis scale map """ if self.data is None: return if self.warn_if_non_linear_scale(painter, canvasRect): return src2 = self._rescale_src_rect(src_rect) dst_rect = tuple([int(i) for i in dst_rect]) # Not the most efficient way to do it, but it works... # -------------------------------------------------------------------------- if self.get_zaxis_log_state(): data = self._log_data else: data = self.data # -------------------------------------------------------------------------- try: dest = _scale_rect( data, src2, self._offscreen, dst_rect, self.lut, self.interpolate ) except ValueError: # This exception is raised when zooming unreasonably inside a pixel return qrect = QC.QRectF(QC.QPointF(dest[0], dest[1]), QC.QPointF(dest[2], dest[3])) painter.drawImage(qrect, self._image, qrect) def export_roi( self, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], dst_image: np.ndarray, apply_lut: bool = False, apply_interpolation: bool = False, original_resolution: bool = False, force_interp_mode: str | None = None, force_interp_size: int | None = None, ) -> None: """ Export a rectangular area of the image to another image Args: src_rect: Source rectangle dst_rect: Destination rectangle dst_image: Destination image apply_lut: Apply lut (Default value = False) apply_interpolation: Apply interpolation (Default value = False) original_resolution: Original resolution (Default value = False) force_interp_mode: Force interpolation mode (Default value = None) force_interp_size: Force interpolation size (Default value = None) """ if apply_lut: a, b, _bg, _cmap = self.lut else: a, b = 1.0, 0.0 interp = self.interpolate if apply_interpolation else (INTERP_NEAREST,) rescaled_src = self._rescale_src_rect(src_rect) _scale_rect( self.data, rescaled_src, dst_image, dst_rect, (a, b, None), interp, ) def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ nx, ny = canvas_to_axes(self, pos) xmin, xmax = self.get_xdata() ymin, ymax = self.get_ydata() handle_x = [xmin, xmax, xmax, xmin][handle] handle_y = [ymin, ymin, ymax, ymax][handle] sign_xmin = [1, -1, -1, 1][handle] sign_xmax = [-1, 1, 1, -1][handle] sign_ymin = [1, 1, -1, -1][handle] sign_ymax = [-1, -1, 1, 1][handle] delta_x = nx - handle_x delta_y = ny - handle_y self.set_xdata(xmin + delta_x * sign_xmin, xmax + delta_x * sign_xmax) self.set_ydata(ymin + delta_y * sign_ymin, ymax + delta_y * sign_ymax) self.update_bounds() self.update_border() def move_local_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in canvas coordinates Args: old_pos: Old position new_pos: New position """ nx, ny = canvas_to_axes(self, new_pos) ox, oy = canvas_to_axes(self, old_pos) xmin, xmax = self.get_xdata() ymin, ymax = self.get_ydata() self.set_xdata(xmin + nx - ox, xmax + nx - ox) self.set_ydata(ymin + ny - oy, ymax + ny - oy) self.update_bounds() self.update_border() if self.plot(): self.plot().SIG_ITEM_MOVED.emit(self, ox, oy, nx, ny) def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ xmin, xmax = self.get_xdata() ymin, ymax = self.get_ydata() self.set_xdata(xmin + delta_x, xmax + delta_x) self.set_ydata(ymin + delta_x, ymax + delta_y) self.update_bounds() self.update_border() assert_interfaces_valid(ImageItem) class XYImageItem(RawImageItem): """XY image item (non-linear axes) Args: x: 1D NumPy array of pixel center coordinates, must be increasing y: 1D NumPy array of pixel center coordinates, must be increasing data: 2D NumPy array param: image parameters Note: Internally, `self.x` and `self.y` store **bin edges** (boundaries between pixels), not pixel centers. If input arrays have length nj and ni (matching data dimensions), they are converted to bin edges of length nj+1 and ni+1 using `to_bins()`. Methods that need pixel center coordinates must compute them from the stored bin edges. """ __implements__ = ( IBasePlotItem, IBaseImageItem, IHistDataSource, IVoiImageItemType, IExportROIImageItemType, ISerializableType, ) def __init__( self, x: np.ndarray | None = None, y: np.ndarray | None = None, data: np.ndarray | None = None, param: XYImageParam | None = None, ) -> None: # if x and y are not increasing arrays, sort them and data accordingly if x is not None and not np.all(np.diff(x) >= 0): x_idx = np.argsort(x) x = x[x_idx] data = data[:, x_idx] if y is not None and not np.all(np.diff(y) >= 0): y_idx = np.argsort(y) y = y[y_idx] data = data[y_idx, :] super().__init__(data, param) self.x = None self.y = None if x is not None and y is not None: self.set_xy(x, y) # ---- Public API ---------------------------------------------------------- # ---- BaseImageItem API --------------------------------------------------- def get_default_param(self) -> XYImageParam: """Return instance of the default image param DataSet""" return XYImageParam(_("Image")) # ---- Pickle methods ------------------------------------------------------ def __reduce__(self) -> tuple: """Reduce object to be pickled""" fname = self.get_filename() if fname is None: fn_or_data = self.data else: fn_or_data = fname state = (self.param, self.get_lut_range(), self.x, self.y, fn_or_data, self.z()) res = (self.__class__, (), state) return res def __setstate__(self, state: tuple) -> None: """Set object state from pickled state""" param, lut_range, x, y, fn_or_data, z = state self.param = param if isinstance(fn_or_data, str): self.set_filename(fn_or_data) self.load_data(lut_range) elif fn_or_data is not None: # should happen only with previous API self.set_data(fn_or_data, lut_range=lut_range) self.set_xy(x, y) self.setZ(z) self.param.update_item(self) def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ super().serialize(writer) writer.write(self.x, group_name="Xdata") writer.write(self.y, group_name="Ydata") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ super().deserialize(reader) x = reader.read(group_name="Xdata", func=reader.read_array) y = reader.read(group_name="Ydata", func=reader.read_array) self.set_xy(x, y) # ---- Public API ---------------------------------------------------------- def set_xy(self, x: np.ndarray | list[float], y: np.ndarray | list[float]) -> None: """Set X and Y data Args: x: 1D NumPy array of pixel center coordinates, must be increasing y: 1D NumPy array of pixel center coordinates, must be increasing Raises: ValueError: If X or Y are not increasing IndexError: If X or Y are not of the right length Note: Input arrays represent pixel **center** coordinates. Internally, they are stored as bin **edges** in `self.x` and `self.y`: - If input has length nj (or ni), it's converted to edges via `to_bins()` - If input already has length nj+1 (or ni+1), it's used directly as edges - The stored edges have length nj+1 and ni+1 (one more than data dimensions) """ ni, nj = self.data.shape x = np.array(x, float) y = np.array(y, float) if not np.all(np.diff(x) >= 0): raise ValueError("x must be an increasing 1D array") if not np.all(np.diff(y) >= 0): raise ValueError("y must be an increasing 1D array") if x.shape[0] == nj: self.x = to_bins(x) elif x.shape[0] == nj + 1: self.x = x else: raise IndexError(f"x must be a 1D array of length {nj:d} or {nj + 1:d}") if y.shape[0] == ni: self.y = to_bins(y) elif y.shape[0] == ni + 1: self.y = y else: raise IndexError(f"y must be a 1D array of length {ni:d} or {ni + 1:d}") self.bounds = QC.QRectF( QC.QPointF(self.x[0], self.y[0]), QC.QPointF(self.x[-1], self.y[-1]) ) self.update_border() # --- BaseImageItem API ---------------------------------------------------- def get_filter(self, filterobj, filterparam): """Provides a filter object over this image's content""" return XYImageFilterItem(self, filterobj, filterparam) def draw_image( self, painter: QPainter, canvasRect: QRectF, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, ) -> None: """Draw image Args: painter: Painter canvasRect: Canvas rectangle src_rect: Source rectangle dst_rect: Destination rectangle xMap: X axis scale map yMap: Y axis scale map """ if self.warn_if_non_linear_scale(painter, canvasRect): return xytr = self.x, self.y, src_rect dst_rect = tuple([int(i) for i in dst_rect]) if self.get_zaxis_log_state(): data = self._log_data else: data = self.data dest = _scale_xy( data, xytr, self._offscreen, dst_rect, self.lut, self.interpolate ) qrect = QC.QRectF(QC.QPointF(dest[0], dest[1]), QC.QPointF(dest[2], dest[3])) painter.drawImage(qrect, self._image, qrect) def export_roi( self, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], dst_image: np.ndarray, apply_lut: bool = False, apply_interpolation: bool = False, original_resolution: bool = False, force_interp_mode: str | None = None, force_interp_size: int | None = None, ) -> None: """Export a rectangular area of the image to another image Args: src_rect: Source rectangle in plot coordinates dst_rect: Destination rectangle in pixel coordinates dst_image: Destination image array apply_lut: Apply LUT (Default value = False) apply_interpolation: Apply interpolation (Default value = False) original_resolution: Original resolution (Default value = False) force_interp_mode: Force interpolation mode (Default value = None) force_interp_size: Force interpolation size (Default value = None) """ if apply_lut: lut = self.lut else: a, b = 1.0, 0.0 lut = (a, b, None, np.zeros((1,), np.uint32)) interp = self.interpolate if apply_interpolation else (INTERP_NEAREST,) xytr = self.x, self.y, src_rect _scale_xy(self.data, xytr, dst_image, dst_rect, lut, interp) def get_pixel_coordinates(self, xplot: float, yplot: float) -> tuple[float, float]: """Get pixel coordinates from plot coordinates Args: xplot: X plot coordinate yplot: Y plot coordinate Returns: Pixel coordinates (integer pixel indices) """ # self.x and self.y are bin edges. searchsorted finds the right edge index. # To get the pixel index, we need the left edge index, which is right_edge - 1 # But clamp to valid range [0, n-1] where n is number of pixels i = self.x.searchsorted(xplot) j = self.y.searchsorted(yplot) # searchsorted returns the insertion point (right edge index) # Pixel index is insertion_point - 1, but clamped to [0, data.shape-1] i = max(0, min(i - 1, self.data.shape[1] - 1)) j = max(0, min(j - 1, self.data.shape[0] - 1)) return i, j def get_plot_coordinates(self, xpixel: float, ypixel: float) -> tuple[float, float]: """Get plot coordinates from pixel coordinates Args: xpixel: X pixel coordinate ypixel: Y pixel coordinate Returns: Plot coordinates (pixel center coordinates) """ # self.x and self.y store bin edges, compute centers i = int(pixelround(xpixel)) j = int(pixelround(ypixel)) # Protect against out-of-bounds access i = max(0, min(i, len(self.x) - 2)) j = max(0, min(j, len(self.y) - 2)) x_center = (self.x[i] + self.x[i + 1]) / 2.0 y_center = (self.y[j] + self.y[j + 1]) / 2.0 return x_center, y_center def get_x_values(self, i0: int, i1: int) -> np.ndarray: """Get X values from pixel indexes Args: i0: First index i1: Second index Returns: X values corresponding to the given pixel indexes (pixel centers) """ # self.x stores bin edges (length nj+1), but we need to return pixel centers # Compute centers from edges: center[i] = (edge[i] + edge[i+1]) / 2 # (Fixes issue #49 - Using cross-section tools on `XYImageItem` images alters # the X/Y coordinate arrays) return (self.x[i0:i1] + self.x[i0 + 1 : i1 + 1]) / 2.0 def get_y_values(self, j0: int, j1: int) -> np.ndarray: """Get Y values from pixel indexes Args: j0: First index j1: Second index Returns: Y values corresponding to the given pixel indexes (pixel centers) """ # self.y stores bin edges (length ni+1), but we need to return pixel centers # Compute centers from edges: center[j] = (edge[j] + edge[j+1]) / 2 return (self.y[j0:j1] + self.y[j0 + 1 : j1 + 1]) / 2.0 def get_closest_coordinates(self, x: float, y: float) -> tuple[float, float]: """ Get the closest coordinates to the given point Args: x: X coordinate y: Y coordinate Returns: tuple[float, float]: Closest pixel center coordinates """ i, j = self.get_closest_indexes(x, y) # self.x and self.y store bin edges, compute centers # Protect against out-of-bounds access i = max(0, min(i, len(self.x) - 2)) j = max(0, min(j, len(self.y) - 2)) x_center = (self.x[i] + self.x[i + 1]) / 2.0 y_center = (self.y[j] + self.y[j + 1]) / 2.0 return x_center, y_center # ---- IBasePlotItem API --------------------------------------------------- def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return ( IImageItemType, IVoiImageItemType, IColormapImageItemType, ITrackableItemType, ISerializableType, ICSImageItemType, IExportROIImageItemType, ) # ---- IBaseImageItem API -------------------------------------------------- def can_sethistogram(self) -> bool: """ Returns True if this item can be associated with a levels histogram Returns: bool: True if item can be associated with a levels histogram, False otherwise """ return True assert_interfaces_valid(XYImageItem) # ============================================================================== # RGB Image with alpha channel # ============================================================================== class RGBImageItem(ImageItem): """RGB image item Args: data: 3D NumPy array (shape: NxMx[34] -- 3: RGB, 4: RGBA) param: image parameters """ __implements__ = (IBasePlotItem, IBaseImageItem, ISerializableType) def __init__( self, data: np.ndarray | None = None, param: RGBImageParam | None = None ) -> None: self.orig_data = None super().__init__(data, param) self.lut = None # ---- BaseImageItem API --------------------------------------------------- def get_default_param(self) -> RGBImageParam: """Return instance of the default image param DataSet""" return RGBImageParam(_("Image")) # ---- Public API ---------------------------------------------------------- def recompute_alpha_channel(self) -> None: """Recompute alpha channel""" data = self.orig_data if self.orig_data is None: return H, W, NC = data.shape R = data[..., 0].astype(np.uint32) G = data[..., 1].astype(np.uint32) B = data[..., 2].astype(np.uint32) use_alpha = self.param.alpha_function != LUTAlpha.NONE.value alpha = self.param.alpha if NC > 3 and use_alpha: A = data[..., 3].astype(np.uint32) else: A = np.zeros((H, W), np.uint32) A[:, :] = int(255 * alpha) self.data[:, :] = (A << 24) + (R << 16) + (G << 8) + B # --- BaseImageItem API ---------------------------------------------------- # Override lut/bg handling def set_lut_range(self, lut_range: tuple[float, float]) -> None: """ Set the current active lut range .. warning:: This method is not implemented for this item type. """ pass def set_background_color(self, qcolor: QColor | str) -> None: """Set background color Args: qcolor: Background color .. warning:: This method is not implemented for this item type. """ self.lut = None def set_color_map( self, name_or_table: str | EditableColormap, invert: bool | None = None ) -> None: """Set colormap Args: name_or_table: Colormap name or colormap invert: True to invert colormap, False otherwise (Default value = None, i.e. do not change the default behavior) """ self.lut = None # ---- RawImageItem API ---------------------------------------------------- def load_data(self) -> None: """Load data from item filename attribute""" data = io.imread(self.get_filename(), to_grayscale=False) self.set_data(data) def set_data(self, data: np.ndarray) -> None: """Set image data Args: data: 2D NumPy array """ H, W, NC = data.shape self.orig_data = data self.data = np.empty((H, W), np.uint32) self.recompute_alpha_channel() self.update_bounds() self.update_border() self.lut = None # ---- IBasePlotItem API --------------------------------------------------- def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (IImageItemType, ITrackableItemType, ISerializableType) # ---- IBaseImageItem API -------------------------------------------------- def can_sethistogram(self) -> bool: """ Returns True if this item can be associated with a levels histogram Returns: bool: True if item can be associated with a levels histogram, False otherwise """ return False assert_interfaces_valid(RGBImageItem) PlotPyStack-PlotPy-2af0906/plotpy/items/image/transform.py000066400000000000000000000550631525747167300236560ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import sys from typing import TYPE_CHECKING import numpy as np from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from qtpy.QtCore import QPointF from plotpy.config import _ from plotpy.coords import axes_to_canvas, canvas_to_axes from plotpy.interfaces import IBaseImageItem, IBasePlotItem, IExportROIImageItemType from plotpy.items.image.base import RawImageItem from plotpy.mathutils.geometry import colvector, rotate, scale, translate from plotpy.styles.image import TrImageParam try: from plotpy._scaler import INTERP_LINEAR, INTERP_NEAREST, _scale_tr except ImportError: print( ("Module 'plotpy.items.image.base': missing C extension"), file=sys.stderr, ) print( ("try running :python setup.py build_ext --inplace -c mingw32"), file=sys.stderr, ) raise if TYPE_CHECKING: import qwt.scale_map from qtpy.QtCore import QRectF from qtpy.QtGui import QPainter # ============================================================================== # Image with a custom linear transform # ============================================================================== class TrImageItem(RawImageItem): """ Construct a transformable image item * data: 2D NumPy array * param: image parameters (:py:class:`.styles.TrImageParam` instance) """ __implements__ = (IBasePlotItem, IBaseImageItem, IExportROIImageItemType) _trx = 0.5 _try = 0.5 _can_select = True _can_resize = True _can_rotate = True _can_move = True ROTATION_POINT_DIAMETER = 10 # in pixels def __init__(self, data=None, param=None): self.tr = np.eye(3, dtype=float) self.itr = np.eye(3, dtype=float) self.points = np.array([[0, 0, 2, 2], [0, 2, 2, 0], [1, 1, 1, 1]], float) self.locked = False self.rotation_point = None self.rotation_point_move_with_shape = None super().__init__(data, param) # ---- BaseImageItem API --------------------------------------------------- def get_default_param(self): """Return instance of the default image param DataSet""" return TrImageParam(_("Image")) # ---- Public API ---------------------------------------------------------- def set_crop(self, left, top, right, bottom): """ :param left: :param top: :param right: :param bottom: """ self.param.set_crop(left, top, right, bottom) def get_crop(self): """ :return: """ return self.param.get_crop() def get_crop_coordinates(self): """Return crop rectangle coordinates""" tpos = np.array(np.dot(self.itr, self.points)) xmin, ymin, _ = tpos.min(axis=1).flatten() xmax, ymax, _ = tpos.max(axis=1).flatten() left, top, right, bottom = self.param.get_crop() return (xmin + left, ymin + top, xmax - right, ymax - bottom) def compute_bounds(self): """ """ x0, y0, x1, y1 = self.get_crop_coordinates() self.bounds = QC.QRectF(QC.QPointF(x0, y0), QC.QPointF(x1, y1)) self.update_border() def set_rotation_point(self, x, y, rotation_point_move_with_shape=True): self.rotation_point_move_with_shape = rotation_point_move_with_shape self.rotation_point = colvector(x, y) def set_rotation_point_to_center(self): handles = self.itr @ self.points center = handles.sum(axis=1) / 4 self.set_rotation_point( center.item(0), center.item(1), rotation_point_move_with_shape=True ) def set_locked(self, state): self.locked = state def is_locked(self): return self.locked # --- RawImageItem API ----------------------------------------------------- def set_data( self, data: np.ndarray, lut_range: list[float, float] | None = None ) -> None: """Set image data Args: data: 2D NumPy array lut_range: LUT range -- tuple (levelmin, levelmax) (Default value = None) """ RawImageItem.set_data(self, data, lut_range) ni, nj = self.data.shape self.points = np.array([[0, 0, nj, nj], [0, ni, ni, 0], [1, 1, 1, 1]], float) self.compute_bounds() # --- BaseImageItem API ---------------------------------------------------- def get_filter(self, filterobj, filterparam): """Provides a filter object over this image's content""" raise NotImplementedError # TODO: Implement TrImageFilterItem def get_pixel_coordinates(self, xplot: float, yplot: float) -> tuple[float, float]: """Get pixel coordinates from plot coordinates Args: xplot: X plot coordinate yplot: Y plot coordinate Returns: Pixel coordinates """ xpixel, ypixel, _ = self.tr @ colvector(xplot, yplot) return xpixel, ypixel def get_plot_coordinates(self, xpixel: float, ypixel: float) -> tuple[float, float]: """Get plot coordinates from pixel coordinates Args: xpixel: X pixel coordinate ypixel: Y pixel coordinate Returns: Plot coordinates """ xplot, yplot, _ = self.itr @ colvector(xpixel, ypixel) return xplot, yplot def get_x_values(self, i0: int, i1: int) -> np.ndarray: """Get X values from pixel indexes Args: i0: First index i1: Second index Returns: X values corresponding to the given pixel indexes """ x0, _y0, _ = self.itr @ colvector(i0, 0) x1, _y1, _ = self.itr @ colvector(i1, 0) return np.linspace(x0, x1, i1 - i0) def get_y_values(self, j0: int, j1: int) -> np.ndarray: """Get Y values from pixel indexes Args: j0: First index j1: Second index Returns: Y values corresponding to the given pixel indexes """ _x0, y0, _ = self.itr @ colvector(0, j0) _x1, y1, _ = self.itr @ colvector(0, j1) return np.linspace(y0, y1, j1 - j0) def get_r_values(self, i0, i1, j0, j1, flag_circle=False): """Get radial values from pixel indexes Args: i0: First index i1: Second index j0: Third index j1: Fourth index flag_circle: Flag circle (Default value = False) Returns: Radial values corresponding to the given pixel indexes """ x0, y0, _ = self.itr @ colvector(i0, j0) x1, y1, _ = self.itr @ colvector(i1, j1) if flag_circle: r = abs(y1 - y0) else: r = np.sqrt((y1 - y0) ** 2 + (x1 - x0) ** 2) return np.linspace(0, r, abs(j1 - j0)) def get_closest_coordinates(self, x: float, y: float) -> tuple[float, float]: """ Get the closest coordinates to the given point Args: x: X coordinate y: Y coordinate Returns: tuple[float, float]: Closest coordinates """ xi, yi = self.get_closest_indexes(x, y) x, y, _ = self.itr @ colvector(xi, yi) return x, y def update_border(self) -> None: """Update image border rectangle to fit image shape""" tpos = np.dot(self.itr, self.points) self.border_rect.set_points(tpos.T[:, :2]) def draw_image( self, painter: QPainter, canvasRect: QRectF, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, ) -> None: """Draw image Args: painter: Painter canvasRect: Canvas rectangle src_rect: Source rectangle dst_rect: Destination rectangle xMap: X axis scale map yMap: Y axis scale map """ if self.warn_if_non_linear_scale(painter, canvasRect): return W = canvasRect.width() H = canvasRect.height() if W <= 1 or H <= 1: return x0, y0, x1, y1 = src_rect cx = canvasRect.left() cy = canvasRect.top() sx = (x1 - x0) / (W - 1) sy = (y1 - y0) / (H - 1) # tr1 = tr(x0,y0)@scale(sx,sy)@tr(-cx,-cy) tr = np.array([[sx, 0, x0 - cx * sx], [0, sy, y0 - cy * sy], [0, 0, 1]], float) mat = self.tr @ tr dst_rect = tuple([int(i) for i in dst_rect]) if self.get_zaxis_log_state(): data = self._log_data else: data = self.data dest = _scale_tr( data, mat, self._offscreen, dst_rect, self.lut, self.interpolate ) qrect = QC.QRectF(QC.QPointF(dest[0], dest[1]), QC.QPointF(dest[2], dest[3])) painter.drawImage(qrect, self._image, qrect) # -- rotation circle if self.can_rotate(): if self.rotation_point is None: self.set_rotation_point_to_center() brush = QG.QBrush(QG.QColor("magenta")) pen = QG.QPen(QG.QColor("magenta")) pen.setBrush(brush) painter.setBrush(brush) center = QC.QPointF( *axes_to_canvas(self, self.rotation_point[0], self.rotation_point[1]) ) painter.drawEllipse( center, self.ROTATION_POINT_DIAMETER / 2.0, self.ROTATION_POINT_DIAMETER / 2.0, ) def export_roi( self, src_rect: tuple[float, float, float, float], dst_rect: tuple[float, float, float, float], dst_image: np.ndarray, apply_lut: bool = False, apply_interpolation: bool = False, original_resolution: bool = False, force_interp_mode: str | None = None, force_interp_size: int | None = None, ) -> None: """ Export a rectangular area of the image to another image Args: src_rect: Source rectangle dst_rect: Destination rectangle dst_image: Destination image apply_lut: Apply lut (Default value = False) apply_interpolation: Apply interpolation (Default value = False) original_resolution: Original resolution (Default value = False) force_interp_mode: Force interpolation mode (Default value = None) force_interp_size: Force interpolation size (Default value = None) """ if apply_lut: a, b, _bg, _cmap = self.lut else: a, b = 1.0, 0.0 xs0, ys0, xs1, ys1 = src_rect xd0, yd0, xd1, yd1 = dst_rect if original_resolution: _t1, _t2, _t3, xscale, yscale, _t4, _t5 = self.get_transform() else: xscale, yscale = ( (xs1 - xs0) / float(xd1 - xd0), (ys1 - ys0) / float(yd1 - yd0), ) mat = self.tr @ (translate(xs0, ys0) @ scale(xscale, yscale)) x0, y0, x1, y1 = self.get_crop_coordinates() xd0 = max([xd0, xd0 + int((x0 - xs0) / xscale)]) yd0 = max([yd0, yd0 + int((y0 - ys0) / xscale)]) xd1 = min([xd1, xd1 + int((x1 - xs1) / xscale)]) yd1 = min([yd1, yd1 + int((y1 - ys1) / xscale)]) dst_rect = xd0, yd0, xd1, yd1 if apply_interpolation: if force_interp_mode is not None: if force_interp_mode in (INTERP_NEAREST, INTERP_LINEAR): interp = (force_interp_mode,) else: # INTERP_AA aa = np.ones( (force_interp_size, force_interp_size), self.data.dtype ) interp = (force_interp_mode, aa) else: # don't force interpolation, keep current image interpolation interp = self.interpolate else: # don't apply interpolation --> INTERP_NEAREST interp = (INTERP_NEAREST,) _scale_tr(self.data, mat, dst_image, dst_rect, (a, b, None), interp) # ---- IBasePlotItem API --------------------------------------------------- def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ if self.is_locked(): return x0, y0, angle, dx, dy, hflip, vflip = self.get_transform() nx, ny = canvas_to_axes(self, pos) handles = self.itr @ self.points p0 = colvector(nx, ny) if self.can_rotate(): if self.rotation_point is None: self.set_rotation_point_to_center() vec0 = handles[:, handle] - self.rotation_point vec1 = p0 - self.rotation_point a0 = np.arctan2(vec0[1], vec0[0]) a1 = np.arctan2(vec1[1], vec1[0]) # compute angles angle = float(angle + a1 - a0) tr1 = translate(-self.rotation_point[0], -self.rotation_point[1]) rot = rotate(a1 - a0) tr = np.linalg.inv(tr1) @ rot @ tr1 vc = colvector(x0, y0) new_vc = tr.dot(vc) x0, y0 = new_vc[0], new_vc[1] if self.plot(): self.plot().SIG_ITEM_ROTATED.emit(self, angle) if self.can_resize(): if self.rotation_point is None: self.set_rotation_point_to_center() center = handles.sum(axis=1) / 4 vec0 = handles[:, handle] - center vec1 = p0 - center # compute pixel size zoom = np.linalg.norm(vec1) / np.linalg.norm(vec0) dx = float(zoom * dx) dy = float(zoom * dy) self.rotation_point[0] = ( center.item(0) + (self.rotation_point[0] - center.item(0)) * zoom ) self.rotation_point[1] = ( center.item(1) + (self.rotation_point[1] - center.item(1)) * zoom ) if self.plot(): self.plot().SIG_ITEM_RESIZED.emit(self, zoom, zoom) self.set_transform(x0, y0, angle, dx, dy, hflip, vflip) if self.plot(): self.plot().SIG_ITEM_HANDLE_MOVED.emit(self) def move_local_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in canvas coordinates Args: old_pos: Old position new_pos: New position """ if self.is_locked(): return if self.rotation_point is None: self.set_rotation_point_to_center() x0, y0, angle, dx, dy, hflip, vflip = self.get_transform() nx, ny = canvas_to_axes(self, new_pos) ox, oy = canvas_to_axes(self, old_pos) self.set_transform(x0 + nx - ox, y0 + ny - oy, angle, dx, dy, hflip, vflip) if self.rotation_point_move_with_shape: self.rotation_point[0] = self.rotation_point[0] + nx - ox self.rotation_point[1] = self.rotation_point[1] + ny - oy if self.plot(): self.plot().SIG_ITEM_MOVED.emit(self, ox, oy, nx, ny) # ---- TrImageItem specific API --------------------------------------------------- def rotate_local_shape(self, old_pos, new_pos): """Contrairement ร  move_local_point_to, le dรฉplacement se fait entre les deux positions et non pas depuis un handle jusqu'ร  un point""" if self.is_locked(): return if not self.can_rotate(): return x0, y0, angle, dx, dy, hflip, vflip = self.get_transform() nx, ny = canvas_to_axes(self, new_pos) ox, oy = canvas_to_axes(self, old_pos) if self.rotation_point is None: self.set_rotation_point_to_center() vec0 = colvector(ox, oy) - self.rotation_point vec1 = colvector(nx, ny) - self.rotation_point a0 = np.arctan2(vec0[1, 0], vec0[0, 0]) a1 = np.arctan2(vec1[1, 0], vec1[0, 0]) # compute angles angle += a1 - a0 angle = float(angle) tr1 = translate(-self.rotation_point[0], -self.rotation_point[1]) rot = rotate(a1 - a0) tr = np.linalg.inv(tr1) @ rot @ tr1 vc = colvector(x0, y0) new_vc = tr @ vc x0, y0 = float(new_vc[0]), float(new_vc[1]) if self.plot(): self.plot().SIG_ITEM_ROTATED.emit(self, angle) self.set_transform(x0, y0, angle, dx, dy, hflip, vflip) def move_with_arrows(self, dx, dy): """Translate the shape with arrows in canvas coordinates""" if not self.can_move() or self.is_locked(): return if self.rotation_point is None: self.set_rotation_point_to_center() x0, y0, _angle, _dx, _dy, _hflip, _vflip = self.get_transform() old_pos = QC.QPointF(*axes_to_canvas(self, x0, y0)) new_pos = QC.QPointF(old_pos.x() + dx, old_pos.y() + dy) nx, ny = canvas_to_axes(self, new_pos) ox, oy = canvas_to_axes(self, old_pos) self.set_transform(nx, ny, _angle, _dx, _dy, _hflip, _vflip) if self.rotation_point_move_with_shape: self.rotation_point[0] = self.rotation_point[0] + nx - ox self.rotation_point[1] = self.rotation_point[1] + ny - oy if self.plot(): self.plot().SIG_ITEM_MOVED.emit(self, ox, oy, nx, ny) def rotate_with_arrows(self, dangle): """ Rotate the shape with arrows in canvas coordinates angle0 : old rotation angle angle1 : new rotation angle """ if not self.can_rotate() or self.is_locked(): return if self.rotation_point is None: self.set_rotation_point_to_center() x0, y0, angle0, dx, dy, hflip, vflip = self.get_transform() tr1 = translate(-self.rotation_point[0], -self.rotation_point[1]) rot = rotate(dangle) tr = np.linalg.inv(tr1) @ rot @ tr1 vc = colvector(x0, y0) new_vc = tr @ vc x0, y0 = float(new_vc[0]), float(new_vc[1]) new_angle = angle0 + dangle self.set_transform(x0, y0, angle0 + dangle, dx, dy, hflip, vflip) if self.plot(): self.plot().SIG_ITEM_ROTATED.emit(self, new_angle) def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ if self.is_locked(): return if self.rotation_point is None: self.set_rotation_point_to_center() x0, y0, angle, dx, dy, hflip, vflip = self.get_transform() if self.rotation_point_move_with_shape: self.rotation_point[0] = self.rotation_point[0] + delta_x self.rotation_point[1] = self.rotation_point[1] + delta_y self.set_transform(x0 + delta_x, y0 + delta_y, angle, dx, dy, hflip, vflip) def resize_with_selection(self, zoom_dx, zoom_dy): """ Resize the shape together with other selected items zoom_dx, zoom_dy : zoom factor for dx and dy """ if self.is_locked(): return if self.rotation_point is None: self.set_rotation_point_to_center() x0, y0, angle, dx, dy, hflip, vflip = self.get_transform() handles = self.itr @ self.points center = handles.sum(axis=1) / 4 if self.rotation_point_move_with_shape: self.rotation_point[0] = ( center[0] + (self.rotation_point[0] - center[0]) * zoom_dx ) self.rotation_point[1] = ( center[1] + (self.rotation_point[1] - center[1]) * zoom_dy ) self.set_transform(x0, y0, angle, zoom_dx * dx, zoom_dy * dy, hflip, vflip) def rotate_with_selection(self, angle): """ Rotate the shape together with other selected items angle0 : old rotation angle angle1 : new rotation angle """ if self.is_locked(): return if self.rotation_point is None: self.set_rotation_point_to_center() x0, y0, angle0, dx, dy, hflip, vflip = self.get_transform() dangle = float(angle - angle0) tr1 = translate(-self.rotation_point[0], -self.rotation_point[1]) rot = rotate(dangle) tr = np.linalg.inv(tr1) @ rot @ tr1 vc = colvector(x0, y0) new_vc = tr @ vc x0, y0 = float(new_vc[0]), float(new_vc[1]) self.set_transform(x0, y0, angle, dx, dy, hflip, vflip) def set_transform(self, x0, y0, angle, dx=1.0, dy=1.0, hflip=False, vflip=False): """ Set the transformation :param x0: X translation :param y0: Y translation :param angle: rotation angle in radians :param dx: X-scaling factor :param dy: Y-scaling factor :param hflip: True if image if flip horizontally :param vflip: True if image is flip vertically """ self.param.set_transform(x0, y0, angle, dx, dy, hflip, vflip) if self.data is None: return ni, nj = self.data.shape rot = rotate(-angle) tr1 = translate(nj / 2.0 + 0.5, ni / 2.0 + 0.5) xflip = -1.0 if hflip else 1.0 yflip = -1.0 if vflip else 1.0 sc = scale(xflip / dx, yflip / dy) tr2 = translate(-x0, -y0) self.tr = tr1 @ sc @ rot @ tr2 self.itr = np.linalg.inv(self.tr) self.compute_bounds() def get_transform(self): """ Return the transformation parameters :return: tuple (x0, y0, angle, dx, dy, hflip, yflip) """ return self.param.get_transform() def debug_transform(self, pt): # pragma: no cover """ Print debug data on how the given point is moved. :param pt: array (x, y, z=1) """ x0, y0, angle, dx, dy, _hflip, _vflip = self.get_transform() rot = rotate(-angle) xmin = self.points[0].min() xmax = self.points[0].max() ymin = self.points[1].min() ymax = self.points[1].max() a, b = (xmax - xmin) / 2.0 + self._trx, (ymax - ymin) / 2.0 + self._try tr1 = translate(xmin + a, ymin + b) sc = scale(dx, dy) tr2 = translate(-x0, -y0) p1 = np.linalg.inv(tr1) @ pt p2 = np.linalg.inv(rot) @ pt p3 = np.linalg.inv(sc) @ pt p4 = np.linalg.inv(tr2) @ pt print("src=", pt.T) print("tr1:", p1.T) print("tr1+rot:", p2.T) print("tr1+rot+sc:", p3.T) print("tr1+rot+tr2:", p4.T) assert_interfaces_valid(TrImageItem) PlotPyStack-PlotPy-2af0906/plotpy/items/label.py000066400000000000000000001124111525747167300216270ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ plotpy.widgets.label -------------------- """ from __future__ import annotations import re from typing import TYPE_CHECKING, Any import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from qwt import QwtPlotItem from plotpy.config import CONF, _ from plotpy.coords import canvas_to_axes from plotpy.interfaces import IBasePlotItem, ISerializableType, IShapeItemType from plotpy.items.curve.base import CurveItem from plotpy.items.shape.range import XRangeSelection from plotpy.styles.label import LabelParam if TYPE_CHECKING: from collections.abc import Callable import guidata.io import qwt.scale_map import qwt.symbol from qtpy.QtCore import QPointF, QRectF from qtpy.QtGui import QBrush, QPainter, QPen, QTextDocument from plotpy.interfaces import IItemType from plotpy.items import ImageItem, RectangleShape, YRangeSelection from plotpy.styles.base import ItemParameters ANCHORS = { "TL": lambda r: (r.left(), r.top()), "TR": lambda r: (r.right(), r.top()), "BL": lambda r: (r.left(), r.bottom()), "BR": lambda r: (r.right(), r.bottom()), "L": lambda r: (r.left(), (r.top() + r.bottom()) / 2.0), "R": lambda r: (r.right(), (r.top() + r.bottom()) / 2.0), "T": lambda r: ((r.left() + r.right()) / 2.0, r.top()), "B": lambda r: ((r.left() + r.right()) / 2.0, r.bottom()), "C": lambda r: ((r.left() + r.right()) / 2.0, (r.top() + r.bottom()) / 2.0), } class AbstractLabelItem(QwtPlotItem): """Abstract label plot item Draws a label on the canvas at position : G+C where G is a point in plot coordinates and C a point in canvas coordinates. G can also be an anchor string as in ANCHORS in which case the label will keep a fixed position wrt the canvas rect Args: labelparam: Label parameters """ _readonly = False _private = False def __init__(self, labelparam: LabelParam = None) -> None: super().__init__() self.selected = False self.anchor = None self.G = None self.C = None self.border_pen = None self.bg_brush = None if labelparam is None: self.labelparam = LabelParam(_("Label"), icon="label.png") else: self.labelparam = labelparam self.labelparam.update_item(self) self._can_select = True self._can_resize = False self._can_move = True self._can_rotate = False def set_style(self, section: str, option: str) -> None: """Set style for this item Args: section: Section option: Option """ self.labelparam.read_config(CONF, section, option) self.labelparam.update_item(self) def __reduce__(self) -> tuple[type, tuple]: """Return a tuple containing the constructor and its arguments""" return (self.__class__, (self.labelparam,)) def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ self.labelparam.update_param(self) writer.write(self.labelparam, group_name="labelparam") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ self.labelparam = LabelParam(_("Label"), icon="label.png") reader.read("labelparam", instance=self.labelparam) self.labelparam.update_item(self) if isinstance(self.G, np.ndarray): self.G = tuple(self.G) def get_text_rect(self) -> QC.QRectF: """Return the text rectangle Returns: Text rectangle """ return QC.QRectF(0.0, 0.0, 10.0, 10.0) def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (IShapeItemType,) def set_text_style( self, font: QG.QFont | None = None, color: str | None = None ) -> None: """Set label text style Args: font: Font color: Color """ raise NotImplementedError def get_top_left( self, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QC.QRectF, ) -> tuple[float, float]: """Return the top left corner of the text rectangle Args: xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle Returns: tuple: Tuple with two elements: (x, y) """ x0, y0 = self.get_origin(xMap, yMap, canvasRect) x0 += self.C[0] y0 += self.C[1] rect = self.get_text_rect() pos = ANCHORS[self.anchor](rect) x0 -= pos[0] y0 -= pos[1] return x0, y0 def get_origin( self, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QC.QRectF, ) -> tuple[float, float]: """Return the origin of the text rectangle Args: xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle Returns: tuple: Tuple with two elements: (x, y) """ if self.G in ANCHORS: return ANCHORS[self.G](canvasRect) else: x0 = xMap.transform(self.G[0]) y0 = yMap.transform(self.G[1]) return x0, y0 def get_icon_name(self) -> str: """Return the icon name Returns: Icon name """ return self._icon_name def set_icon_name(self, icon_name: str) -> None: """Set the icon name Args: icon_name: Icon name """ self._icon_name = icon_name def set_selectable(self, state: bool) -> None: """Set item selectable state Args: state: True if item is selectable, False otherwise """ self._can_select = state def set_resizable(self, state: bool) -> None: """Set item resizable state (or any action triggered when moving an handle, e.g. rotation) Args: state: True if item is resizable, False otherwise """ self._can_resize = state def set_movable(self, state: bool) -> None: """Set item movable state Args: state: True if item is movable, False otherwise """ self._can_move = state def set_rotatable(self, state: bool) -> None: """Set item rotatable state Args: state: True if item is rotatable, False otherwise """ self._can_rotate = state def can_select(self) -> bool: """ Returns True if this item can be selected Returns: bool: True if item can be selected, False otherwise """ return self._can_select def can_resize(self) -> bool: """ Returns True if this item can be resized Returns: bool: True if item can be resized, False otherwise """ return self._can_resize def can_move(self) -> bool: """ Returns True if this item can be moved Returns: bool: True if item can be moved, False otherwise """ return self._can_move def can_rotate(self) -> bool: """ Returns True if this item can be rotated Returns: bool: True if item can be rotated, False otherwise """ return False # TODO: Implement labels rotation? def set_readonly(self, state: bool) -> None: """Set object readonly state Args: state: True if object is readonly, False otherwise """ self._readonly = state def is_readonly(self) -> bool: """Return object readonly state Returns: bool: True if object is readonly, False otherwise """ return self._readonly def set_private(self, state: bool) -> None: """Set object as private Args: state: True if object is private, False otherwise """ self._private = state def is_private(self) -> bool: """Return True if object is private Returns: bool: True if object is private, False otherwise """ return self._private def invalidate_plot(self) -> None: """Invalidate the plot to force a redraw""" plot = self.plot() if plot: plot.invalidate() def select(self) -> None: """ Select the object and eventually change its appearance to highlight the fact that it's selected """ if self.selected: # Already selected return self.selected = True w = self.border_pen.width() self.border_pen.setWidth(w + 1) self.invalidate_plot() def unselect(self) -> None: """ Unselect the object and eventually restore its original appearance to highlight the fact that it's not selected anymore """ self.selected = False self.labelparam.update_item(self) self.invalidate_plot() def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ plot = self.plot() if plot is None: return rect = self.get_text_rect() canvasRect = plot.canvas().contentsRect() xMap = plot.canvasMap(self.xAxis()) yMap = plot.canvasMap(self.yAxis()) x, y = self.get_top_left(xMap, yMap, canvasRect) rct = QC.QRectF(x, y, rect.width(), rect.height()) inside = rct.contains(pos.x(), pos.y()) if inside: return self.click_inside(pos.x() - x, pos.y() - y) else: return 1000.0, None, False, None def click_inside(self, locx: float, locy: float) -> tuple[float, float, bool, type]: """Called when the mouse button is clicked inside the object Args: locx: Local x coordinate locy: Local y coordinate Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). """ return 2.0, 1, True, None def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" self.labelparam.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ self.update_item_parameters() itemparams.add("LabelParam", self, self.labelparam) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ update_dataset(self.labelparam, itemparams.get("LabelParam"), visible_only=True) self.labelparam.update_item(self) if self.selected: self.select() def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ if handle != -1: return def move_local_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in canvas coordinates Args: old_pos: Old position new_pos: New position """ plot = self.plot() if plot is None: return if self.G in ANCHORS or not self.labelparam.move_anchor: # Move canvas offset lx, ly = self.C lx += new_pos.x() - old_pos.x() ly += new_pos.y() - old_pos.y() lx, ly = ( int(lx), int(ly), ) # Convert to integer (expected type for canvas coordinates) self.C = lx, ly self.labelparam.xc, self.labelparam.yc = lx, ly lx0, ly0 = canvas_to_axes(self, old_pos) lx1, ly1 = canvas_to_axes(self, new_pos) else: # Move anchor lx0, ly0 = self.G cx = plot.transform(self.xAxis(), lx0) cy = plot.transform(self.yAxis(), ly0) cx += new_pos.x() - old_pos.x() cy += new_pos.y() - old_pos.y() lx1 = plot.invTransform(self.xAxis(), cx) ly1 = plot.invTransform(self.yAxis(), cy) self.G = lx1, ly1 self.labelparam.xg, self.labelparam.yg = lx1, ly1 plot.SIG_ITEM_MOVED.emit(self, lx0, ly0, lx1, ly1) def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ if self.G in ANCHORS or not self.labelparam.move_anchor: return lx0, ly0 = self.G lx1, ly1 = lx0 + delta_x, ly0 + delta_y self.G = lx1, ly1 self.labelparam.xg, self.labelparam.yg = lx1, ly1 def draw_frame( self, painter: QPainter, x: float, y: float, w: float, h: float ) -> None: """Draw the frame Args: painter: Painter x: X coordinate y: Y coordinate w: Width h: Height """ rectf = QC.QRectF(x, y, w, h) if self.labelparam.bgalpha > 0.0: painter.fillRect(rectf, self.bg_brush) if self.border_pen.width() > 0: painter.setPen(self.border_pen) painter.drawRect(rectf) class LabelItem(AbstractLabelItem): """Label plot item Args: text: Text labelparam: Label parameters """ __implements__ = (IBasePlotItem, ISerializableType) _icon_name = "label.png" def __init__( self, text: str | None = None, labelparam: LabelParam | None = None ) -> None: self.text_string = "" if text is None else text self.text = QG.QTextDocument() self.marker: qwt.symbol.QwtSymbol | None = None super().__init__(labelparam) def __reduce__(self) -> tuple[type, tuple]: """Return a tuple containing the constructor and its arguments""" return (self.__class__, (self.text_string, self.labelparam)) def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ super().serialize(writer) writer.write(self.text_string, group_name="text") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ super().deserialize(reader) self.set_text(reader.read("text", func=reader.read_unicode)) def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (IShapeItemType, ISerializableType) def set_pos(self, x: float, y: float) -> None: """Set position Args: x: X coordinate y: Y coordinate """ self.G = x, y self.labelparam.abspos = False self.labelparam.xg, self.labelparam.yg = x, y def get_plain_text(self) -> str: """Get plain text Returns: str: Plain text """ return str(self.text.toPlainText()) def set_text(self, text: str | None = None) -> None: """Set text Args: text: Text """ if text is not None: self.text_string = text self.text.setHtml(f"

") def set_text_style( self, font: QG.QFont | None = None, color: str | None = None ) -> None: """Set label text style Args: font: Font color: Color """ if font is not None: self.text.setDefaultFont(font) if color is not None: self.text.setDefaultStyleSheet("div { color: %s; }" % color) self.set_text() def get_text_rect(self) -> QRectF: """Return the text rectangle Returns: Text rectangle """ sz = self.text.size() return QC.QRectF(0, 0, sz.width(), sz.height()) def update_text(self) -> None: """Update text""" pass def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ self.update_text() x, y = self.get_top_left(xMap, yMap, canvasRect) x0, y0 = self.get_origin(xMap, yMap, canvasRect) painter.save() self.marker.drawSymbols(painter, [QC.QPointF(x0, y0)]) painter.restore() sz = self.text.size() self.draw_frame(painter, int(x), int(y), int(sz.width()), int(sz.height())) painter.setPen(QG.QPen(QG.QColor(self.labelparam.color))) painter.translate(x, y) self.text.drawContents(painter) assert_interfaces_valid(LabelItem) LEGEND_WIDTH = 30 # Length of the sample line LEGEND_SPACEH = 5 # Spacing between border, sample, text, border LEGEND_SPACEV = 3 # Vertical space between items class LegendBoxItem(AbstractLabelItem): """Legend box plot item Args: labelparam: Label parameters """ __implements__ = (IBasePlotItem, ISerializableType) _icon_name = "legend.png" def __init__(self, labelparam: LabelParam = None) -> None: self.font = None self.color = None super().__init__(labelparam) # saves the last computed sizes self.sizes = 0.0, 0.0, 0.0, 0.0 def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (IShapeItemType, ISerializableType) def get_legend_items( self, ) -> list[tuple[QTextDocument, QPen, QBrush, qwt.symbol.QwtSymbol]]: """Return the legend items Returns: list: List of legend items (text, pen, brush, symbol) """ plot = self.plot() if plot is None: return [] text_items = [] for item in plot.get_items(): if not isinstance(item, CurveItem) or not self.include_item(item): continue text = QG.QTextDocument() text.setDefaultFont(self.font) text.setDefaultStyleSheet("div { color: %s; }" % self.color) text.setHtml(f"
{item.param.label}
") text_items.append((text, item.pen(), item.brush(), item.symbol())) return text_items def include_item(self, item: Any) -> bool: """Include item in legend box? Args: item: Item Returns: True if item is included, False otherwise """ return item.isVisible() def get_legend_size( self, legenditems: list[tuple] ) -> tuple[float, float, float, float]: """Return the legend size Args: legenditems: Legend items Returns: tuple: Tuple with four elements: (TW, TH, width, height) """ width = 0 height = 0 for text, _, _, _ in legenditems: # noqa sz = text.size() if sz.width() > width: width = sz.width() if sz.height() > height: height = sz.height() TW = LEGEND_SPACEH * 3 + LEGEND_WIDTH + width TH = len(legenditems) * (height + LEGEND_SPACEV) + LEGEND_SPACEV self.sizes = TW, TH, width, height return self.sizes def set_text_style( self, font: QG.QFont | None = None, color: str | None = None ) -> None: """Set label text style Args: font: Font color: Color """ if font is not None: self.font = font if color is not None: self.color = color def get_text_rect(self) -> QC.QRectF: """Return the text rectangle Returns: Text rectangle """ items = self.get_legend_items() TW, TH, _width, _height = self.get_legend_size(items) return QC.QRectF(0.0, 0.0, TW, TH) def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ items = self.get_legend_items() TW, TH, _width, height = self.get_legend_size(items) x, y = self.get_top_left(xMap, yMap, canvasRect) self.draw_frame(painter, int(x), int(y), int(TW), int(TH)) y0 = int(y + LEGEND_SPACEV) x0 = int(x + LEGEND_SPACEH) for text, ipen, ibrush, isymbol in items: isymbol.drawSymbols( painter, [QC.QPointF(x0 + LEGEND_WIDTH / 2, y0 + height / 2)] ) painter.save() painter.setPen(ipen) painter.setBrush(ibrush) painter.drawLine( x0, int(y0 + height / 2), int(x0 + LEGEND_WIDTH), int(y0 + height / 2) ) x1 = x0 + LEGEND_SPACEH + LEGEND_WIDTH painter.translate(x1, y0) text.drawContents(painter) painter.restore() y0 += height + LEGEND_SPACEV def click_inside(self, locx: float, locy: float) -> tuple[float, float, bool, type]: """Called when the mouse button is clicked inside the object Args: locx: Local x coordinate locy: Local y coordinate Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). """ # hit_test already called get_text_rect for us... _TW, _TH, _width, height = self.sizes line = (locy - LEGEND_SPACEV) / (height + LEGEND_SPACEV) line = int(line) if LEGEND_SPACEH <= locx <= (LEGEND_WIDTH + LEGEND_SPACEH): # We hit a legend line, select the corresponding curve # and do as if we weren't hit... items = [ item for item in self.plot().get_items() if self.include_item(item) and isinstance(item, CurveItem) ] if 0 <= line < len(items): return 1000.0, None, False, items[line] return 2.0, 1, True, None def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" self.labelparam.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ self.update_item_parameters() itemparams.add("LegendParam", self, self.labelparam) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ update_dataset( self.labelparam, itemparams.get("LegendParam"), visible_only=True ) self.labelparam.update_item(self) if self.selected: self.select() assert_interfaces_valid(LegendBoxItem) class SelectedLegendBoxItem(LegendBoxItem): """Selected legend box plot item Args: labelparam: Label parameters itemlist: List of items """ def __init__( self, dataset: LabelParam = None, itemlist: list[Any] | None = None ) -> None: super().__init__(dataset) self.itemlist = [] if itemlist is None else itemlist def __reduce__(self) -> tuple[type, tuple]: """Return a tuple containing the constructor and its arguments""" # XXX Filter itemlist for picklabel items return (self.__class__, (self.labelparam, [])) def include_item(self, item: Any) -> bool: """Include item in legend box? Args: item: Item Returns: True if item is included, False otherwise """ return LegendBoxItem.include_item(self, item) and item in self.itemlist def add_item(self, item: Any) -> None: """Add item Args: item: Item """ self.itemlist.append(item) class ObjectInfo: """Base class for objects used to format text labels""" def get_text(self) -> str: """Return the text to be displayed""" return "" @staticmethod def _replace_format_specifiers(label: str, datetime_positions: list[int]) -> str: """Replace numeric format specifiers with %s for datetime positions Args: label: The label format string datetime_positions: List of positions that should use %s Returns: Modified label string """ # Find all format specifiers pattern = r"%[+-]?(?:\d+)?(?:\.\d+)?[hlL]?[diouxXeEfFgGcrs%]" matches = list(re.finditer(pattern, label)) # Replace numeric formats with %s for datetime positions result = label offset = 0 spec_index = 0 for match in matches: if match.group() == "%%": # Skip escaped % continue if spec_index in datetime_positions: # Replace this format specifier with %s old_spec = match.group() new_spec = "%s" start = match.start() + offset end = match.end() + offset result = result[:start] + new_spec + result[end:] offset += len(new_spec) - len(old_spec) spec_index += 1 return result @staticmethod def _format_values_for_datetime_axis( plot, axis_id: int, label: str, result: tuple | list, value_checker: Callable ) -> tuple[str, tuple]: """Format values as datetime strings if they match the value_checker criterion Args: plot: The plot object axis_id: The axis ID to check for datetime scale label: The label format string result: The result tuple/list from the function value_checker: Function that takes (value, index) and returns True if the value should be formatted as datetime Returns: Tuple of (adjusted_label, formatted_result) """ # Check if axis is datetime if plot.get_axis_scale(axis_id) != "datetime": return label, result # Convert result to list for modification if not isinstance(result, (list, tuple)): result = [result] else: result = list(result) # Find positions that need datetime formatting datetime_positions = [] for i, val in enumerate(result): if isinstance(val, (int, float, np.number)) and not np.isnan(val): if value_checker(val, i): datetime_positions.append(i) # Format as datetime string result[i] = plot.format_coordinate_value(val, axis_id) # Replace format specifiers for datetime positions in the label if datetime_positions: label = ObjectInfo._replace_format_specifiers(label, datetime_positions) return label, tuple(result) class RangeInfo(ObjectInfo): """ObjectInfo handling `XRangeSelection` or `YRangeSelection` shape informations: x, dx or y, dy Args: label: Formatted string xrangeselection: `XRangeSelection` or `YRangeSelection` object function: Input arguments are x, dx ; returns objects used to format the label. Default function is `lambda x, dx: (x, dx)`. Examples:: x = linspace(-10, 10, 10) y = sin(sin(sin(x))) xrangeselection = make.xrange(-2, 2) RangeInfo(u"x = %.1f ยฑ %.1f cm", xrangeselection, lambda x, dx: (x, dx)) disp = make.info_label('BL', comp, title="titre") """ def __init__( self, label: str, rangeselection: XRangeSelection | YRangeSelection, function: Callable | None = None, ) -> None: self.label = str(label) self.range = rangeselection if function is None: def function(v, dv): return v, dv self.func = function def get_text(self) -> str: """Return the text to be displayed""" v0, v1 = self.range.get_range() v = 0.5 * (v0 + v1) dv = 0.5 * (v1 - v0) # Get result from function result = self.func(v, dv) # Check if we need to format as datetime plot = self.range.plot() if plot is not None: # Determine which axis this range is on if isinstance(self.range, XRangeSelection): axis_id = self.range.xAxis() else: axis_id = self.range.yAxis() # Value checker: returns True if value matches v or dv (likely datetime) def is_range_value(val, _idx): return abs(val - v) < 1e-10 or abs(abs(val) - abs(dv)) < 1e-10 label, result = self._format_values_for_datetime_axis( plot, axis_id, self.label, result, is_range_value ) return label % result return self.label % result class XRangeComputation(ObjectInfo): """ObjectInfo showing curve computations relative to a `XRangeSelection` shape Args: label: formatted string curve: CurveItem object rangeselection: `XRangeSelection` object function: callback function to compute the text to be displayed depending on the range and eventually the curve data. Input arguments are x, y arrays (extraction of associated curve data corresponding to the `rangeselection` X-axis range). """ def __init__( self, label: str, curve: CurveItem, rangeselection: XRangeSelection, function: Callable | None = None, ) -> None: self.label = str(label) self.curve = curve self.range = rangeselection if function is None: def function(v, dv): return v, dv self.func = function def set_curve(self, curve: CurveItem) -> None: """Set curve item Args: curve: Curve item """ self.curve = curve def get_text(self) -> str: """Return the text to be displayed""" x0, x1 = self.range.get_range() data = self.curve.get_data() xdata = data[0] i0 = xdata.searchsorted(x0) i1 = xdata.searchsorted(x1) if i0 > i1: i0, i1 = i1, i0 vectors = [] for vector in data: if vector is None: vectors.append(None) elif i0 == i1: vectors.append(np.array([np.nan])) else: vectors.append(vector[i0:i1]) # Get result from function result = self.func(*vectors) # Format values considering datetime axis plot = self.curve.plot() if plot is not None: # Check if x-axis is datetime x_axis = self.curve.xAxis() # Compute x-statistics to identify x-coordinates in result x_vector = vectors[0] x_stats = set() if x_vector is not None and len(x_vector) > 0: x_stats = {x_vector.min(), x_vector.max(), x_vector.mean()} # Value checker: returns True if value matches an x-statistic def is_x_coordinate(val, _idx): return any( abs(val - stat) < 1e-10 for stat in x_stats if not np.isnan(stat) ) label, result = self._format_values_for_datetime_axis( plot, x_axis, self.label, result, is_x_coordinate ) return label % result return self.label % result RangeComputation = XRangeComputation # For backward compatibility class YRangeComputation(ObjectInfo): """ObjectInfo showing computations relative to a `YRangeSelection` shape Args: label: formatted string rangeselection: `YRangeSelection` object function: callback function to compute the text to be displayed. .. note:: Unlike the `XRangeSelection`, the `YRangeSelection` does not depend on any curve data, the input arguments of the callback function are simply ymin, ymax values (extraction of the `rangeselection` Y-axis range). """ def __init__( self, label: str, rangeselection: YRangeSelection, function: Callable, ) -> None: self.label = str(label) self.range = rangeselection if function is None: def function(v, dv): return v, dv self.func = function def get_text(self) -> str: """Return the text to be displayed""" y0, y1 = self.range.get_range() return self.label % self.func(y0, y1) class RangeComputation2d(ObjectInfo): """ObjectInfo showing image computations relative to a rectangular area Args: label: formatted string image: ImageItem object rect: Rectangular area function: input arguments are x, y, z arrays (extraction of arrays corresponding to the rectangular area) """ def __init__( self, label: str, image: ImageItem, rect: RectangleShape, function: Callable ) -> None: self.label = str(label) self.image = image self.rect = rect self.func = function def get_text(self) -> str: """Return the text to be displayed""" x0, y0, x1, y1 = self.rect.get_rect() x, y, z = self.image.get_data(x0, y0, x1, y1) res = self.func(x, y, z) return self.label % res class DataInfoLabel(LabelItem): """Label item displaying informations relative to an annotation Args: labelparam: Label parameters info: List of objects implementing the ``get_text`` method """ __implements__ = (IBasePlotItem,) def __init__( self, labelparam: LabelParam | None = None, info: list[Any] | None = None ) -> None: super().__init__(None, labelparam) if isinstance(info, ObjectInfo): info = [info] self.info = info def __reduce__(self) -> tuple[type, tuple]: """Return a tuple containing the constructor and its arguments""" return (self.__class__, (self.labelparam, self.info)) def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (IShapeItemType,) def update_text(self): """Update text""" title = self.labelparam.label if title: text = ["%s" % title] else: text = [] for info in self.info: text.append(info.get_text()) self.set_text("
".join(text)) PlotPyStack-PlotPy-2af0906/plotpy/items/polygonmap.py000066400000000000000000000320551525747167300227420ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 from __future__ import annotations from sys import maxsize from typing import TYPE_CHECKING import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from qwt import QwtPlotItem from plotpy.config import _ from plotpy.interfaces import IBasePlotItem, ISerializableType, ITrackableItemType from plotpy.styles import PolygonMapParam if TYPE_CHECKING: import guidata.io from qtpy.QtCore import QPointF from qwt import QwtScaleMap from plotpy.interfaces import IItemType from plotpy.styles.base import ItemParameters def simplify_poly(pts, off, scale, bounds): """Simplify a polygon by removing points outside the canvas""" ax, bx, ay, by = scale a = np.array([[ax, ay]]) b = np.array([[bx, by]]) _pts = a * pts + b poly = [] NP = off.shape[0] for i in range(off.shape[0]): i0 = off[i, 1] if i + 1 < NP: i1 = off[i + 1, 1] else: i1 = pts.shape[0] poly.append((_pts[i0:i1], i)) return poly class PolygonMapItem(QwtPlotItem): """Construct a PolygonMapItem object Args: param: Polygon parameters """ __implements__ = (IBasePlotItem, ISerializableType) _readonly = False _private = False _can_select = False _can_resize = False _can_move = False _can_rotate = False _icon_name = "polygonmap.png" def __init__(self, param: PolygonMapParam | None = None) -> None: super().__init__() if param is None: self.param = PolygonMapParam(_("PolygonMap"), icon="polygonmap.png") else: self.param = param self.selected = False self.immutable = True # set to false to allow moving points around self._pts = None # Array of points Mx2 self._n = None # Array of polygon offsets/ends Nx1 # (polygon k points are _pts[_n[k-1]:_n[k]]) self._c = None # Color of polygon Nx2 [border,background] as RGBA uint32 self.update_params() def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (ITrackableItemType, ISerializableType) def can_select(self) -> bool: """ Returns True if this item can be selected Returns: bool: True if item can be selected, False otherwise """ return self._can_select def can_resize(self) -> bool: """ Returns True if this item can be resized Returns: bool: True if item can be resized, False otherwise """ return self._can_resize def can_rotate(self) -> bool: """ Returns True if this item can be rotated Returns: bool: True if item can be rotated, False otherwise """ return self._can_rotate def can_move(self) -> bool: """ Returns True if this item can be moved Returns: bool: True if item can be moved, False otherwise """ return self._can_move def get_icon_name(self) -> str: """Return the icon name Returns: Icon name """ return self._icon_name def set_icon_name(self, icon_name: str) -> None: """Set the icon name Args: icon_name: Icon name """ self._icon_name = icon_name def set_selectable(self, state: bool) -> None: """Set item selectable state Args: state: True if item is selectable, False otherwise """ self._can_select = state def set_resizable(self, state: bool) -> None: """Set item resizable state (or any action triggered when moving an handle, e.g. rotation) Args: state: True if item is resizable, False otherwise """ self._can_resize = state def set_movable(self, state: bool) -> None: """Set item movable state Args: state: True if item is movable, False otherwise """ self._can_move = state def set_rotatable(self, state: bool) -> None: """Set item rotatable state Args: state: True if item is rotatable, False otherwise """ self._can_rotate = state def __reduce__(self): state = (self.param, self._pts, self._n, self._c, self.z()) res = (PolygonMapItem, (), state) return res def __setstate__(self, state): param, pts, n, c, z = state self.param = param self.set_data(pts, n, c) self.setZ(z) self.update_params() def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ writer.write(self._pts, group_name="Pdata") writer.write(self._n, group_name="Ndata") writer.write(self._c, group_name="Cdata") writer.write(self.z(), group_name="z") self.param.update_param(self) writer.write(self.param, group_name="param") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ pts = reader.read(group_name="Pdata", func=reader.read_array) n = reader.read(group_name="Ndata", func=reader.read_array) c = reader.read(group_name="Cdata", func=reader.read_array) self.set_data(pts, n, c) self.setZ(reader.read("z")) self.param = PolygonMapParam(_("PolygonMap"), icon="polygonmap.png") reader.read("param", instance=self.param) self.update_params() def set_readonly(self, state: bool) -> None: """Set object readonly state Args: state: True if object is readonly, False otherwise """ self._readonly = state def is_readonly(self) -> bool: """Return object readonly state Returns: bool: True if object is readonly, False otherwise """ return self._readonly def set_private(self, state: bool) -> None: """Set object as private Args: state: True if object is private, False otherwise """ self._private = state def is_private(self) -> bool: """Return True if object is private Returns: bool: True if object is private, False otherwise """ return self._private def invalidate_plot(self) -> None: """Invalidate the plot to force a redraw""" plot = self.plot() if plot is not None: plot.invalidate() def select(self) -> None: """ Select the object and eventually change its appearance to highlight the fact that it's selected """ def unselect(self) -> None: """ Unselect the object and eventually restore its original appearance to highlight the fact that it's not selected anymore """ def get_data(self): """Return curve data x, y (NumPy arrays)""" return self._pts, self._n, self._c def set_data(self, pts, n, c): """ Set curve data: * x: NumPy array * y: NumPy array """ self._pts = np.asarray(pts) self._n = np.asarray(n) self._c = np.asarray(c) xmin, ymin = self._pts.min(axis=0) xmax, ymax = self._pts.max(axis=0) self.bounds = QC.QRectF(xmin, ymin, xmax - xmin, ymax - ymin) def is_empty(self) -> bool: """Return True if the item is empty Returns: True if the item is empty, False otherwise """ return self._pts is None or self._pts.size == 0 def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ if self.is_empty(): return maxsize, 0, False, None # TODO: Implement PolygonMapItem.hit_test return maxsize, 0, False, None def get_closest_coordinates(self, x: float, y: float) -> tuple[float, float]: """ Get the closest coordinates to the given point Args: x: X coordinate y: Y coordinate Returns: tuple[float, float]: Closest coordinates """ # TODO: Implement PolygonMapItem.get_closest_coordinates return x, y def get_coordinates_label(self, x: float, y: float) -> str: """ Get the coordinates label for the given coordinates Args: x: X coordinate y: Y coordinate Returns: str: Coordinates label """ title = self.title().text() return f"{title}:
x = {x:f}
y = {y:f}" def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ def move_local_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in canvas coordinates Args: old_pos: Old position new_pos: New position """ def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ def update_params(self) -> None: """Update object properties from item parameters (dataset)""" self.param.update_item(self) if self.selected: self.select() def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" self.param.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ itemparams.add("CurveParam", self, self.param) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ update_dataset(self.param, itemparams.get("PolygonMapParam"), visible_only=True) self.update_params() def draw( self, painter: QG.QPainter, xMap: QwtScaleMap, yMap: QwtScaleMap, canvasRect: QC.QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ p1x = xMap.p1() s1x = xMap.s1() ax = (xMap.p2() - p1x) / (xMap.s2() - s1x) p1y = yMap.p1() s1y = yMap.s1() ay = (yMap.p2() - p1y) / (yMap.s2() - s1y) bx, by = p1x - s1x * ax, p1y - s1y * ay _c = self._c _n = self._n fgcol = QG.QColor() bgcol = QG.QColor() polygons = simplify_poly( self._pts, _n, (ax, bx, ay, by), canvasRect.getCoords() ) for poly, num in polygons: points = [] for i in range(poly.shape[0]): points.append(QC.QPointF(poly[i, 0], poly[i, 1])) pg = QG.QPolygonF(points) fgcol.setRgba(int(_c[num, 0])) bgcol.setRgba(int(_c[num, 1])) painter.setPen(QG.QPen(fgcol)) painter.setBrush(QG.QBrush(bgcol)) painter.drawPolygon(pg) def boundingRect(self) -> QC.QRectF: """Return the bounding rectangle of the shape Returns: Bounding rectangle of the shape """ return self.bounds assert_interfaces_valid(PolygonMapItem) PlotPyStack-PlotPy-2af0906/plotpy/items/quiver.py000066400000000000000000000360411525747167300220670ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Quiver plot item ================ This module provides the :py:class:`QuiverItem` class for displaying 2D vector fields (quiver plots), similar to Matplotlib's :py:func:`matplotlib.pyplot.quiver`. .. autoclass:: QuiverItem :members: """ from __future__ import annotations import math import sys from typing import TYPE_CHECKING import numpy as np from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from qwt import QwtPlotItem from plotpy.interfaces import IBasePlotItem, IDecoratorItemType if TYPE_CHECKING: import qwt.scale_map from qtpy.QtCore import QPointF, QRectF from qtpy.QtGui import QPainter from plotpy.interfaces import IItemType from plotpy.styles.base import ItemParameters class QuiverItem(QwtPlotItem): """Quiver (2D vector field) plot item Displays arrows at grid positions (X, Y) with direction and magnitude defined by (U, V) components, similar to Matplotlib's ``quiver``. Args: x: 1D or 2D array of arrow X positions y: 1D or 2D array of arrow Y positions u: 1D or 2D array of arrow X components v: 1D or 2D array of arrow Y components color: Arrow color (default: black) arrow_scale: Scale factor for arrow length in pixels (default: 30.0). Larger values produce longer arrows. arrow_head_size: Size of arrow heads in pixels (default: 6.0) headwidth: Arrow head width as a multiple of head size (default: 0.7) """ __implements__ = (IBasePlotItem,) _readonly = True _private = False _can_select = True _can_resize = False _can_rotate = False _can_move = False _icon_name = "quiver.png" def __init__( self, x: np.ndarray, y: np.ndarray, u: np.ndarray, v: np.ndarray, color: str | QG.QColor = "black", arrow_scale: float = 30.0, arrow_head_size: float = 6.0, headwidth: float = 0.7, ) -> None: super().__init__() self.setItemAttribute(QwtPlotItem.AutoScale, True) self.selected = False self.immutable = True self._set_data(x, y, u, v) self._color = QG.QColor(color) self._arrow_scale = arrow_scale self._arrow_head_size = arrow_head_size self._headwidth = headwidth # ---- Data handling ---------------------------------------------------------- def _set_data( self, x: np.ndarray, y: np.ndarray, u: np.ndarray, v: np.ndarray, ) -> None: """Set and validate vector field data. Args: x: Arrow X positions (1D or 2D) y: Arrow Y positions (1D or 2D) u: Arrow X direction components (1D or 2D) v: Arrow Y direction components (1D or 2D) """ x = np.asarray(x, dtype=np.float64) y = np.asarray(y, dtype=np.float64) u = np.asarray(u, dtype=np.float64) v = np.asarray(v, dtype=np.float64) # If X, Y are 1D and U, V are 2D, expand via meshgrid if x.ndim == 1 and y.ndim == 1 and u.ndim == 2: x, y = np.meshgrid(x, y) # Flatten all arrays for uniform processing self._x = x.ravel() self._y = y.ravel() self._u = u.ravel() self._v = v.ravel() if not (self._x.size == self._y.size == self._u.size == self._v.size): raise ValueError("x, y, u, v arrays must have the same number of elements") def set_data( self, x: np.ndarray, y: np.ndarray, u: np.ndarray, v: np.ndarray, ) -> None: """Set vector field data and trigger replot. Args: x: Arrow X positions (1D or 2D) y: Arrow Y positions (1D or 2D) u: Arrow X direction components (1D or 2D) v: Arrow Y direction components (1D or 2D) """ self._set_data(x, y, u, v) plot = self.plot() if plot is not None: plot.replot() def get_data(self) -> tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray]: """Return the vector field data. Returns: Tuple of (x, y, u, v) arrays """ return self._x, self._y, self._u, self._v # ---- Style accessors ------------------------------------------------------- def set_color(self, color: str | QG.QColor) -> None: """Set arrow color. Args: color: Color name string or QColor """ self._color = QG.QColor(color) def get_color(self) -> QG.QColor: """Return arrow color. Returns: Arrow color """ return self._color # ---- QwtPlotItem interface ------------------------------------------------- def boundingRect(self) -> QC.QRectF: """Return the bounding rectangle of the data. The bounding rectangle is expanded by a margin to ensure arrows at the edges of the field remain visible when the plot auto-scales. Returns: Bounding rectangle in data coordinates """ if self._x.size == 0: return QC.QRectF() xmin, xmax = float(self._x.min()), float(self._x.max()) ymin, ymax = float(self._y.min()), float(self._y.max()) # Add margin to account for arrow length extending beyond base points. # Use 10% of the data range, or fall back to a fraction of the min # absolute coordinate value for degenerate cases (e.g., single column). dx = xmax - xmin dy = ymax - ymin margin_x = dx * 0.1 if dx > 0 else abs(xmin) * 0.1 + 1.0 margin_y = dy * 0.1 if dy > 0 else abs(ymin) * 0.1 + 1.0 return QC.QRectF( xmin - margin_x, ymin - margin_y, dx + 2 * margin_x, dy + 2 * margin_y, ) def is_empty(self) -> bool: """Return True if the item has no data. Returns: True if the item is empty, False otherwise """ return self._x.size == 0 def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the vector field. Args: painter: QPainter instance xMap: X axis scale map (data -> pixel) yMap: Y axis scale map (data -> pixel) canvasRect: Canvas rectangle in pixel coordinates """ if self._x.size == 0: return painter.save() painter.setRenderHint(QG.QPainter.Antialiasing) # Compute magnitudes and normalize direction vectors mag = np.sqrt(self._u**2 + self._v**2) max_mag = mag.max() if max_mag == 0: painter.restore() return # Normalize to [0, 1] range norm_mag = mag / max_mag pen_width = 1.5 if not self.selected else 2.5 color = self._color if self.selected: color = QG.QColor("red") pen = QG.QPen(color, pen_width) pen.setCapStyle(QC.Qt.RoundCap) pen.setJoinStyle(QC.Qt.RoundJoin) painter.setPen(pen) painter.setBrush(QG.QBrush(color)) arrow_head_size = self._arrow_head_size head_angle = math.pi / 6 # 30 degrees headwidth = self._headwidth for i in range(self._x.size): if mag[i] < 1e-12: continue # Transform base point to canvas coordinates px = xMap.transform(self._x[i]) py = yMap.transform(self._y[i]) # Arrow direction (in pixel space, note Y is inverted) dx = self._u[i] / max_mag dy = -self._v[i] / max_mag # Negate for screen coordinates # Scale arrow length length = norm_mag[i] * self._arrow_scale end_x = px + dx * length end_y = py + dy * length # Draw shaft painter.drawLine(QC.QPointF(px, py), QC.QPointF(end_x, end_y)) # Draw arrow head if length < 2.0: continue # Too small for a head angle = math.atan2(end_y - py, end_x - px) h1x = end_x - arrow_head_size * math.cos(angle - head_angle * headwidth) h1y = end_y - arrow_head_size * math.sin(angle - head_angle * headwidth) h2x = end_x - arrow_head_size * math.cos(angle + head_angle * headwidth) h2y = end_y - arrow_head_size * math.sin(angle + head_angle * headwidth) head = QG.QPolygonF( [ QC.QPointF(end_x, end_y), QC.QPointF(h1x, h1y), QC.QPointF(h2x, h2y), ] ) painter.drawPolygon(head) painter.restore() # ---- IBasePlotItem interface ----------------------------------------------- def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. Returns: Tuple of class objects inheriting from IItemType """ return (IDecoratorItemType,) def set_readonly(self, state: bool) -> None: """Set object readonly state. Args: state: True if object is readonly, False otherwise """ self._readonly = state def is_readonly(self) -> bool: """Return object readonly state. Returns: True if object is readonly, False otherwise """ return self._readonly def set_private(self, state: bool) -> None: """Set object as private. Args: state: True if object is private, False otherwise """ self._private = state def is_private(self) -> bool: """Return True if object is private. Returns: True if object is private, False otherwise """ return self._private def get_icon_name(self) -> str: """Return the icon name. Returns: Icon name """ return self._icon_name def set_icon_name(self, icon_name: str) -> None: """Set the icon name. Args: icon_name: Icon name """ self._icon_name = icon_name def set_selectable(self, state: bool) -> None: """Set item selectable state. Args: state: True if item is selectable, False otherwise """ self._can_select = state def set_resizable(self, state: bool) -> None: """Set item resizable state. Args: state: True if item is resizable, False otherwise """ self._can_resize = state def set_movable(self, state: bool) -> None: """Set item movable state. Args: state: True if item is movable, False otherwise """ self._can_move = state def set_rotatable(self, state: bool) -> None: """Set item rotatable state. Args: state: True if item is rotatable, False otherwise """ self._can_rotate = state def can_select(self) -> bool: """Returns True if this item can be selected. Returns: True if item can be selected, False otherwise """ return self._can_select def can_resize(self) -> bool: """Returns True if this item can be resized. Returns: True if item can be resized, False otherwise """ return self._can_resize def can_rotate(self) -> bool: """Returns True if this item can be rotated. Returns: True if item can be rotated, False otherwise """ return self._can_rotate def can_move(self) -> bool: """Returns True if this item can be moved. Returns: True if item can be moved, False otherwise """ return self._can_move def select(self) -> None: """Select the object and highlight it.""" self.selected = True plot = self.plot() if plot is not None: plot.replot() def unselect(self) -> None: """Unselect the object and restore its appearance.""" self.selected = False plot = self.plot() if plot is not None: plot.replot() def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object). Args: pos: Position in canvas coordinates Returns: Tuple with four elements (distance, attach point, inside, other_object) """ plot = self.plot() if plot is None or self._x.size == 0: return sys.maxsize, 0, False, None # Convert click position to data coordinates cx, cy = pos.x(), pos.y() # Find the closest arrow base point dist = sys.maxsize for i in range(self._x.size): px = plot.transform(self.xAxis(), self._x[i]) py = plot.transform(self.yAxis(), self._y[i]) d = math.sqrt((cx - px) ** 2 + (cy - py) ** 2) if d < dist: dist = d # Consider "inside" if within the bounding rect on canvas rect = self.boundingRect() x0 = plot.transform(self.xAxis(), rect.left()) y0 = plot.transform(self.yAxis(), rect.top()) x1 = plot.transform(self.xAxis(), rect.right()) y1 = plot.transform(self.yAxis(), rect.bottom()) canvas_rect = QC.QRectF( QC.QPointF(min(x0, x1), min(y0, y1)), QC.QPointF(max(x0, x1), max(y0, y1)), ) inside = canvas_rect.contains(QC.QPointF(cx, cy)) return dist, 0, inside, None def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties.""" def get_item_parameters(self, itemparams: ItemParameters) -> None: """Appends datasets to the list of DataSets describing the parameters. Args: itemparams: Item parameters """ def set_item_parameters(self, itemparams: ItemParameters) -> None: """Change the appearance of this item according to the parameter set. Args: itemparams: Item parameters """ def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position. Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ def move_local_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos. Args: old_pos: Old position new_pos: New position """ def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items. Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ assert_interfaces_valid(QuiverItem) PlotPyStack-PlotPy-2af0906/plotpy/items/shape/000077500000000000000000000000001525747167300212765ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/items/shape/__init__.py000066400000000000000000000007131525747167300234100ustar00rootroot00000000000000# -*- coding: utf-8 -*- # pylint: disable=W0611 # flake8: noqa from .axis import Axes from .base import AbstractShape from .ellipse import EllipseShape from .marker import Marker from .point import PointShape from .polygon import PolygonShape from .range import XRangeSelection, YRangeSelection from .rectangle import ObliqueRectangleShape, RectangleShape from .segment import SegmentShape from .svg import CircleSVGShape, RectangleSVGShape, SquareSVGShape PlotPyStack-PlotPy-2af0906/plotpy/items/shape/axis.py000066400000000000000000000226431525747167300226230ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import math from typing import TYPE_CHECKING import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from plotpy.config import CONF, _ from plotpy.items.shape.polygon import PolygonShape from plotpy.styles.shape import AxesShapeParam if TYPE_CHECKING: import guidata.io import qwt.scale_map from qtpy.QtCore import QRectF from qtpy.QtGui import QPainter from plotpy.styles.base import ItemParameters from plotpy.styles.shape import ShapeParam class Axes(PolygonShape): """Axes shape Args: p0: First point (0,1) p1: Second point (1,1) p2: Third point (0,0) axesparam: Axes parameters shapeparam: Shape parameters """ CLOSED: bool = True _icon_name = "gtaxes.png" def __init__( self, p0: tuple[float, float] = (0, 0), p1: tuple[float, float] = (0, 0), p2: tuple[float, float] = (0, 0), axesparam: AxesShapeParam = None, shapeparam: ShapeParam = None, ) -> None: super().__init__(shapeparam=shapeparam) self.set_rect(p0, p1, p2) self.arrow_angle = 15.0 # degrees self.arrow_size = 0.05 # % of axe length self.x_pen = self.pen self.x_brush = self.brush self.y_pen = self.pen self.y_brush = self.brush if axesparam is None: self.axesparam = AxesShapeParam(_("Axes"), icon="gtaxes.png") else: self.axesparam = axesparam self.axesparam.update_param(self) def __reduce__(self) -> tuple: """Reduce object to picklable state""" self.axesparam.update_param(self) state = (self.shapeparam, self.axesparam, self.points, self.z()) return (self.__class__, (), state) def __setstate__(self, state: tuple) -> None: """Set object state from pickled state""" shapeparam, axesparam, points, z = state self.points = points self.setZ(z) self.shapeparam: ShapeParam = shapeparam self.shapeparam.update_item(self) self.axesparam: AxesShapeParam = axesparam self.axesparam.update_item(self) def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ super().serialize(writer) self.axesparam.update_param(self) writer.write(self.axesparam, group_name="axesparam") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ super().deserialize(reader) self.axesparam = AxesShapeParam(_("Axes"), icon="gtaxes.png") reader.read("axesparam", instance=self.axesparam) self.axesparam.update_item(self) def get_transform_matrix(self, dx: float = 1.0, dy: float = 1.0) -> np.ndarray: """Return the transformation matrix Args: dx: X scale dy: Y scale Returns: Transformation matrix """ p0, p1, _p3, p2 = [np.array([p[0], p[1], 1.0]) for p in self.points] matrix = np.array([(p1 - p0) / dx, (p2 - p0) / dy, p0]) if abs(np.linalg.det(matrix)) > 1e-12: return np.linalg.inv(matrix) def set_rect( self, p0: tuple[float, float], p1: tuple[float, float], p2: tuple[float, float] ) -> None: """Set the coordinates of the axes Args: p0: First point (0,1) p1: Second point (1,1) p2: Third point (0,0) """ p3x = p1[0] + p2[0] - p0[0] p3y = p1[1] + p2[1] - p0[1] self.set_points([p0, p1, (p3x, p3y), p2]) def set_style(self, section: str, option: str) -> None: """Set style for this item Args: section: Section option: Option """ PolygonShape.set_style(self, section, option + "/border") self.axesparam.read_config(CONF, section, option) self.axesparam.update_item(self) def move_point_to( self, handle: int, pos: tuple[float, float], ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ _nx, _ny = pos p0, p1, _p3, p2 = list(self.points) d1x = p1[0] - p0[0] d1y = p1[1] - p0[1] d2x = p2[0] - p0[0] d2y = p2[1] - p0[1] if handle == 0: pp0 = pos pp1 = pos[0] + d1x, pos[1] + d1y pp2 = pos[0] + d2x, pos[1] + d2y elif handle == 1: pp0 = p0 pp1 = pos pp2 = p2 elif handle == 3: pp0 = p0 pp1 = p1 pp2 = pos elif handle == 2: # find (a,b) such that p3 = a*d1 + b*d2 + p0 d3x = pos[0] - p0[0] d3y = pos[1] - p0[1] det = d1x * d2y - d2x * d1y if abs(det) < 1e-6: # reset d1x = d2y = 1.0 d1y = d2x = 0.0 det = 1.0 a = (d2y * d3x - d2x * d3y) / det b = (-d1y * d3x + d1x * d3y) / det _pp3 = pos pp1 = p0[0] + a * d1x, p0[1] + a * d1y pp2 = p0[0] + b * d2x, p0[1] + b * d2y pp0 = p0 self.set_rect(pp0, pp1, pp2) if self.plot(): self.plot().SIG_AXES_CHANGED.emit(self) def move_shape(self, old_pos: QC.QPointF, new_pos: QC.QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in axis coordinates Args: old_pos: Old position new_pos: New position """ PolygonShape.move_shape(self, old_pos, new_pos) if self.plot(): self.plot().SIG_AXES_CHANGED.emit(self) def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ PolygonShape.draw(self, painter, xMap, yMap, canvasRect) p0, p1, _, p2 = list(self.points) points = self.transform_points(xMap, yMap) # points is a QPolygonF painter.setPen(self.x_pen) painter.setBrush(self.x_brush) painter.drawLine(points.at(0), points.at(1)) self.draw_arrow(painter, xMap, yMap, p0, p1) painter.setPen(self.y_pen) painter.setBrush(self.y_brush) painter.drawLine(points.at(0), points.at(3)) self.draw_arrow(painter, xMap, yMap, p0, p2) def draw_arrow( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, p0: tuple[float, float], p1: tuple[float, float], ) -> None: """Draw an arrow Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map p0: First point p1: Second point """ sz = self.arrow_size angle = math.pi * self.arrow_angle / 180.0 ca, sa = math.cos(angle), math.sin(angle) d1x = xMap.transform(p1[0]) - xMap.transform(p0[0]) d1y = yMap.transform(p1[1]) - yMap.transform(p0[1]) norm = math.sqrt(d1x**2 + d1y**2) if abs(norm) < 1e-6: return d1x *= sz / norm d1y *= sz / norm n1x = -d1y n1y = d1x # arrow : a0 - a1 == p1 - a2 a1x = xMap.transform(p1[0]) a1y = yMap.transform(p1[1]) a0x = a1x - ca * d1x + sa * n1x a0y = a1y - ca * d1y + sa * n1y a2x = a1x - ca * d1x - sa * n1x a2y = a1y - ca * d1y - sa * n1y poly = QG.QPolygonF() poly.append(QC.QPointF(a0x, a0y)) poly.append(QC.QPointF(a1x, a1y)) poly.append(QC.QPointF(a2x, a2y)) painter.drawPolygon(poly) def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" self.axesparam.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ PolygonShape.get_item_parameters(self, itemparams) self.update_item_parameters() itemparams.add("AxesShapeParam", self, self.axesparam) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ PolygonShape.set_item_parameters(self, itemparams) update_dataset( self.axesparam, itemparams.get("AxesShapeParam"), visible_only=True ) self.axesparam.update_item(self) assert_interfaces_valid(Axes) PlotPyStack-PlotPy-2af0906/plotpy/items/shape/base.py000066400000000000000000000213551525747167300225700ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) from __future__ import annotations from typing import TYPE_CHECKING from guidata.utils.misc import assert_interfaces_valid from qwt import QwtPlotItem from plotpy.coords import canvas_to_axes from plotpy.interfaces import IBasePlotItem, IShapeItemType if TYPE_CHECKING: from qtpy.QtCore import QPointF # helping out python_qt_documentation from plotpy.interfaces import IItemType from plotpy.plot import BasePlot from plotpy.styles.base import ItemParameters class AbstractShape(QwtPlotItem): """Abstract shape class""" __implements__ = (IBasePlotItem,) _readonly = False _private = False _can_select = True _can_resize = True _can_rotate = False # TODO: Implement shape rotation? _can_move = True def __init__(self) -> None: super().__init__() self.selected = False def plot(self) -> BasePlot | None: """Return the plot this item belongs to Returns: Plot this item belongs to, or None if not attached to any """ return super().plot() # ------IBasePlotItem API---------------------------------------------------- def get_icon_name(self) -> str: """Return the icon name Returns: Icon name """ return self._icon_name def set_icon_name(self, icon_name: str) -> None: """Set the icon name Args: icon_name: Icon name """ self._icon_name = icon_name def set_selectable(self, state: bool) -> None: """Set item selectable state Args: state: True if item is selectable, False otherwise """ self._can_select = state def set_resizable(self, state: bool) -> None: """Set item resizable state (or any action triggered when moving an handle, e.g. rotation) Args: state: True if item is resizable, False otherwise """ self._can_resize = state def set_movable(self, state: bool) -> None: """Set item movable state Args: state: True if item is movable, False otherwise """ self._can_move = state def set_rotatable(self, state: bool) -> None: """Set item rotatable state Args: state: True if item is rotatable, False otherwise """ self._can_rotate = state def can_select(self) -> bool: """ Returns True if this item can be selected Returns: bool: True if item can be selected, False otherwise """ return self._can_select def can_resize(self) -> bool: """ Returns True if this item can be resized Returns: bool: True if item can be resized, False otherwise """ return self._can_resize def can_rotate(self) -> bool: """ Returns True if this item can be rotated Returns: bool: True if item can be rotated, False otherwise """ return self._can_rotate def can_move(self) -> bool: """ Returns True if this item can be moved Returns: bool: True if item can be moved, False otherwise """ return self._can_move def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (IShapeItemType,) def set_readonly(self, state: bool) -> None: """Set object readonly state Args: state: True if object is readonly, False otherwise """ self._readonly = state def is_readonly(self) -> bool: """Return object readonly state Returns: bool: True if object is readonly, False otherwise """ return self._readonly def set_private(self, state: bool) -> None: """Set object as private Args: state: True if object is private, False otherwise """ self._private = state def is_private(self) -> bool: """Return True if object is private Returns: bool: True if object is private, False otherwise """ return self._private def select(self) -> None: """ Select the object and eventually change its appearance to highlight the fact that it's selected """ self.selected = True self.invalidate_plot() def unselect(self) -> None: """ Unselect the object and eventually restore its original appearance to highlight the fact that it's not selected anymore """ self.selected = False self.invalidate_plot() def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ pass def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" pass def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ def set_item_parameters(self, itemparams): """ Change the appearance of this item according to the parameter set provided params is a list of Datasets of the same types as those returned by get_item_parameters """ pass def move_local_point_to( self, handle: int, pos: QPointF, ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ pt = canvas_to_axes(self, pos) self.move_point_to(handle, pt, ctrl) plot: BasePlot = self.plot() if plot is not None: plot.SIG_ITEM_RESIZED.emit(self, 0, 0) plot.SIG_ITEM_HANDLE_MOVED.emit(self) def move_local_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in canvas coordinates Args: old_pos: Old position new_pos: New position """ old_pt = canvas_to_axes(self, old_pos) new_pt = canvas_to_axes(self, new_pos) self.move_shape(old_pt, new_pt) plot: BasePlot = self.plot() if plot is not None: plot.SIG_ITEM_MOVED.emit(self, *(old_pt + new_pt)) def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ self.move_shape([0, 0], [delta_x, delta_y]) # ------Public API----------------------------------------------------------- def move_point_to( self, handle: int, pos: tuple[float, float], ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ pass def move_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in axis coordinates Args: old_pos: Old position new_pos: New position """ pass def invalidate_plot(self) -> None: """Invalidate the plot to force a redraw""" plot: BasePlot = self.plot() if plot is not None: plot.invalidate() def is_empty(self) -> bool: """Return True if the item is empty Returns: True if the item is empty, False otherwise """ return False assert_interfaces_valid(AbstractShape) PlotPyStack-PlotPy-2af0906/plotpy/items/shape/ellipse.py000066400000000000000000000315651525747167300233170ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import math import sys from typing import TYPE_CHECKING import numpy as np from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from qwt import QwtSymbol from plotpy.items.shape.polygon import PolygonShape from plotpy.mathutils.geometry import compute_angle, compute_center if TYPE_CHECKING: import qwt.scale_map from qtpy.QtCore import QLineF, QPointF, QRectF from qtpy.QtGui import QPainter, QPolygonF from plotpy.styles.shape import ShapeParam class EllipseShape(PolygonShape): """Ellipse shape Args: x1: X coordinate of the first point y1: Y coordinate of the first point x2: X coordinate of the second point y2: Y coordinate of the second point shapeparam: Shape parameters """ CLOSED = True _icon_name = "circle.png" def __init__( self, x1: float = 0.0, y1: float = 0.0, x2: float = 0.0, y2: float = 0.0, shapeparam: ShapeParam = None, ) -> None: super().__init__(shapeparam=shapeparam) self.is_ellipse = False self.set_xdiameter(x1, y1, x2, y2) def switch_to_ellipse(self): """Switch to ellipse mode""" self.is_ellipse = True self.set_icon_name("ellipse_shape.png") def switch_to_circle(self): """Switch to circle mode""" self.is_ellipse = False self.set_icon_name("circle.png") def set_xdiameter(self, x0: float, y0: float, x1: float, y1: float) -> None: """Set the coordinates of the ellipse's X-axis diameter Args: x0: X coordinate of the first point y0: Y coordinate of the first point x1: X coordinate of the second point y1: Y coordinate of the second point """ xline = QC.QLineF(x0, y0, x1, y1) yline = xline.normalVector() yline.translate(xline.pointAt(0.5) - xline.p1()) if self.is_ellipse: yline.setLength(self.get_yline().length()) else: yline.setLength(xline.length()) yline.translate(yline.pointAt(0.5) - yline.p2()) self.set_points( [(x0, y0), (x1, y1), (yline.x1(), yline.y1()), (yline.x2(), yline.y2())] ) def get_xdiameter(self) -> tuple[tuple[float, float], tuple[float, float]]: """Return the coordinates of the ellipse's X-axis diameter Returns: Tuple with two tuples of floats """ return tuple(self.points[0]) + tuple(self.points[1]) def set_ydiameter(self, x2: float, y2: float, x3: float, y3: float) -> None: """Set the coordinates of the ellipse's Y-axis diameter Args: x2: X coordinate of the first point y2: Y coordinate of the first point x3: X coordinate of the second point y3: Y coordinate of the second point """ yline = QC.QLineF(x2, y2, x3, y3) xline = yline.normalVector() xline.translate(yline.pointAt(0.5) - yline.p1()) if self.is_ellipse: xline.setLength(self.get_xline().length()) xline.translate(xline.pointAt(0.5) - xline.p2()) self.set_points( [(xline.x2(), xline.y2()), (xline.x1(), xline.y1()), (x2, y2), (x3, y3)] ) def get_ydiameter(self) -> tuple[tuple[float, float], tuple[float, float]]: """Return the coordinates of the ellipse's Y-axis diameter Returns: Tuple with two tuples of floats """ return tuple(self.points[2]) + tuple(self.points[3]) def get_rect(self) -> tuple[float, float, float, float]: """Get the bounding rectangle of the shape Returns: Tuple with four floats .. warning:: This method is valid for circle only! """ assert not self.is_ellipse (x0, y0), (x1, y1) = self.points[0], self.points[1] xc, yc = 0.5 * (x0 + x1), 0.5 * (y0 + y1) radius = 0.5 * np.sqrt((x1 - x0) ** 2 + (y1 - y0) ** 2) return xc - radius, yc - radius, xc + radius, yc + radius def boundingRect(self) -> QC.QRectF: """Return the bounding rectangle of the shape Returns: Bounding rectangle of the shape """ # See https://stackoverflow.com/a/14163413 (x0, y0), (x1, y1) = self.points[0], self.points[1] radius1 = 0.5 * np.sqrt((x1 - x0) ** 2 + (y1 - y0) ** 2) (x2, y2), (x3, y3) = self.points[2], self.points[3] radius2 = 0.5 * np.sqrt((x3 - x2) ** 2 + (y3 - y2) ** 2) xc, yc = 0.5 * (x0 + x1), 0.5 * (y0 + y1) phi = math.radians(compute_angle(xc, yc, x1, y1)) ux = radius1 * math.cos(phi) uy = radius1 * math.sin(phi) vx = radius2 * math.cos(phi + math.pi / 2) vy = radius2 * math.sin(phi + math.pi / 2) bbox_halfwidth = math.sqrt(ux * ux + vx * vx) bbox_halfheight = math.sqrt(uy * uy + vy * vy) return QC.QRectF( xc - bbox_halfwidth, yc - bbox_halfheight, 2 * bbox_halfwidth, 2 * bbox_halfheight, ) def get_center(self) -> tuple[float, float]: """Return center coordinates Returns: Tuple with two floats (x, y) """ return compute_center(*self.get_xdiameter()) def set_rect(self, x0: float, y0: float, x1: float, y1: float) -> None: """Set the bounding rectangle of the shape Args: x0: X coordinate of the first point y0: Y coordinate of the first point x1: X coordinate of the second point y1: Y coordinate of the second point .. warning:: This method is valid for circle only! """ assert not self.is_ellipse self.set_xdiameter(x0, 0.5 * (y0 + y1), x1, 0.5 * (y0 + y1)) def compute_elements( self, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap ) -> tuple[QPolygonF, QLineF, QLineF, QRectF]: """Return points, lines and ellipse rect Args: xMap: X axis scale map yMap: Y axis scale map Returns: Tuple with four elements (points, line0, line1, rect) """ points = self.transform_points(xMap, yMap) line0 = QC.QLineF(points[0], points[1]) line1 = QC.QLineF(points[2], points[3]) rect = QC.QRectF() rect.setWidth(line0.length()) rect.setHeight(line1.length()) rect.moveCenter(line0.pointAt(0.5)) return points, line0, line1, rect def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ if not self.plot(): return sys.maxsize, 0, False, None dist, handle, inside, other = self.poly_hit_test( self.plot(), self.xAxis(), self.yAxis(), pos ) if not inside: xMap = self.plot().canvasMap(self.xAxis()) yMap = self.plot().canvasMap(self.yAxis()) _points, _line0, _line1, rect = self.compute_elements(xMap, yMap) inside = rect.contains(QC.QPointF(pos)) return dist, handle, inside, other def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ points, line0, line1, rect = self.compute_elements(xMap, yMap) pen, brush, symbol = self.get_pen_brush(xMap, yMap) painter.setRenderHint(QG.QPainter.Antialiasing) painter.setPen(pen) painter.setBrush(brush) # Draw the axes lines connecting handles painter.drawLine(line0) painter.drawLine(line1) # For the ellipse, we need to handle non-uniform aspect ratios properly. # The ellipse should have its semi-axes aligned with line0 and line1 directions. # We use QPainterPath to draw an ellipse transformed to match the actual # geometry. center = line0.pointAt(0.5) # Create the ellipse in a local coordinate system where line0 is horizontal # and line1 is vertical, then transform it to match the actual geometry path = QG.QPainterPath() # Calculate the angle between line0 and line1 in pixel space # (they should be 90ยฐ in data space but may differ after transformation) angle0 = math.radians(line0.angle()) angle1 = math.radians(line1.angle()) # Semi-axes lengths a = line0.length() / 2 # semi-major axis (along line0) b = line1.length() / 2 # semi-minor axis (along line1) # Draw ellipse using parametric form, accounting for non-perpendicular axes # We sample points around the ellipse and create a path n_points = 72 # Number of points for smooth ellipse first_point = True for i in range(n_points + 1): t = 2 * math.pi * i / n_points # Parametric ellipse with potentially non-perpendicular axes # Point = center + cos(t) * a * dir0 + sin(t) * b * dir1 dx = math.cos(t) * a * math.cos(angle0) + math.sin(t) * b * math.cos(angle1) dy = -math.cos(t) * a * math.sin(angle0) - math.sin(t) * b * math.sin( angle1 ) px = center.x() + dx py = center.y() + dy if first_point: path.moveTo(px, py) first_point = False else: path.lineTo(px, py) path.closeSubpath() painter.drawPath(path) if symbol != QwtSymbol.NoSymbol: for i in range(points.size()): symbol.drawSymbol(painter, points[i].toPoint()) def get_xline(self) -> QC.QLineF: """Get the X axis diameter Returns: X axis diameter """ return QC.QLineF(*(tuple(self.points[0]) + tuple(self.points[1]))) def get_yline(self) -> QC.QLineF: """Get the Y axis diameter Returns: Y axis diameter """ return QC.QLineF(*(tuple(self.points[2]) + tuple(self.points[3]))) def move_point_to( self, handle: int, pos: tuple[float, float], ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ nx, ny = pos if handle == 0: x1, y1 = self.points[1] if ctrl: # When is pressed, the center position is unchanged x0, y0 = self.points[0] x1, y1 = x1 + x0 - nx, y1 + y0 - ny self.set_xdiameter(nx, ny, x1, y1) elif handle == 1: x0, y0 = self.points[0] if ctrl: # When is pressed, the center position is unchanged x1, y1 = self.points[1] x0, y0 = x0 + x1 - nx, y0 + y1 - ny self.set_xdiameter(x0, y0, nx, ny) elif handle == 2: x3, y3 = self.points[3] if ctrl: # When is pressed, the center position is unchanged x2, y2 = self.points[2] x3, y3 = x3 + x2 - nx, y3 + y2 - ny self.set_ydiameter(nx, ny, x3, y3) elif handle == 3: x2, y2 = self.points[2] if ctrl: # When is pressed, the center position is unchanged x3, y3 = self.points[3] x2, y2 = x2 + x3 - nx, y2 + y3 - ny self.set_ydiameter(x2, y2, nx, ny) elif handle == -1: delta = (nx, ny) - self.points.mean(axis=0) self.points += delta def __reduce__(self) -> tuple: """Return a tuple used by pickle""" state = (self.shapeparam, self.points, self.z()) return (self.__class__, (), state) def __setstate__(self, state: tuple) -> None: """Set the state of the object from a tuple""" self.shapeparam, self.points, z = state self.setZ(z) self.shapeparam.update_item(self) assert_interfaces_valid(EllipseShape) PlotPyStack-PlotPy-2af0906/plotpy/items/shape/marker.py000066400000000000000000000447021525747167300231400ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import math from contextlib import contextmanager from typing import TYPE_CHECKING, Generator from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qwt import QwtPlotMarker from plotpy.config import CONF, _ from plotpy.coords import canvas_to_axes from plotpy.interfaces import IBasePlotItem, IShapeItemType from plotpy.styles.base import MARKERSTYLES from plotpy.styles.shape import MarkerParam if TYPE_CHECKING: from collections.abc import Callable import guidata.io import qwt.scale_map from qtpy.QtCore import QPointF, QRectF from qtpy.QtGui import QPainter from plotpy.interfaces import IItemType from plotpy.plot import BasePlot from plotpy.styles.base import ItemParameters @contextmanager def no_symbol_context( item: QwtPlotMarker, condition: bool ) -> Generator[None, None, None]: """Context manager for temporarily changing a marker's symbol Args: item: The marker object whose symbol might be changed condition: If True, the symbol will be changed to None temporarily """ old_symbol = None if condition: old_symbol = item.symbol() item.setSymbol(None) try: yield finally: if condition and old_symbol is not None: item.setSymbol(old_symbol) class Marker(QwtPlotMarker): """Marker shape Args: label_cb: Label callback (must return a string, takes x and y as arguments) constraint_cb: Constraint callback (must return a tuple (x, y), takes x and y as arguments) markerparam: Marker parameters .. note:: Marker class derives from QwtPlotMarker, which is a QwtPlotItem. That is why AbstractShape methods are re-implemented here. """ __implements__ = (IBasePlotItem,) _readonly = False _private = False _can_select = True _can_resize = True _can_rotate = False _can_move = True _icon_name = "marker.png" def __init__( self, label_cb: Callable | None = None, constraint_cb: Callable | None = None, markerparam: MarkerParam = None, ) -> None: super().__init__() self._pending_center_handle = None self.selected = False self.label_cb = label_cb if constraint_cb is None: constraint_cb = self.center_handle self.constraint_cb = constraint_cb if markerparam is None: self.markerparam = MarkerParam(_("Marker")) self.markerparam.read_config(CONF, "plot", "marker/cursor") else: self.markerparam = markerparam self.markerparam.update_item(self) def __reduce__(self) -> tuple[type, tuple, tuple]: """Return state information for pickling""" self.markerparam.update_param(self) state = (self.markerparam, self.xValue(), self.yValue(), self.z()) return (Marker, (), state) def __setstate__(self, state: tuple) -> None: """Restore state information from pickled state""" self.markerparam, xvalue, yvalue, z = state self.setXValue(xvalue) self.setYValue(yvalue) self.setZ(z) self.markerparam.update_item(self) def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ self.markerparam.update_param(self) writer.write(self.markerparam, group_name="markerparam") writer.write(self.xValue(), group_name="x") writer.write(self.yValue(), group_name="y") writer.write(self.z(), group_name="z") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ self.markerparam = MarkerParam(_("Marker"), icon="marker.png") reader.read("markerparam", instance=self.markerparam) self.markerparam.update_item(self) self.setXValue(reader.read("x")) self.setYValue(reader.read("y")) self.setZ(reader.read("z")) # ------QwtPlotItem API------------------------------------------------------ def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ if self._pending_center_handle: x, y = self.center_handle(self.xValue(), self.yValue()) self.setValue(x, y) self.update_label() with no_symbol_context(self, not self.can_resize()): QwtPlotMarker.draw(self, painter, xMap, yMap, canvasRect) # ------IBasePlotItem API---------------------------------------------------- def get_icon_name(self) -> str: """Return the icon name Returns: Icon name """ return self._icon_name def set_icon_name(self, icon_name: str) -> None: """Set the icon name Args: icon_name: Icon name """ self._icon_name = icon_name def set_selectable(self, state: bool) -> None: """Set item selectable state Args: state: True if item is selectable, False otherwise """ self._can_select = state def set_resizable(self, state: bool) -> None: """Set item resizable state (or any action triggered when moving an handle, e.g. rotation) Args: state: True if item is resizable, False otherwise """ self._can_resize = state def set_movable(self, state: bool) -> None: """Set item movable state Args: state: True if item is movable, False otherwise """ self._can_move = state # For a marker, setting the movable state to False means that, obviously, # it cannot be moved. However, due to the way the event system works, # the marker can still be moved by the user: it has to be not resizable # to prevent the user from moving it by dragging the handles, which is not # intuitive for a marker (from a user point of view, a marker is a point # or a line, not a shape with handles). # So, we set the resizable state to the same value as the movable state: self.set_resizable(state) def set_rotatable(self, state: bool) -> None: """Set item rotatable state Args: state: True if item is rotatable, False otherwise """ self._can_rotate = state def can_select(self) -> bool: """ Returns True if this item can be selected Returns: bool: True if item can be selected, False otherwise """ return self._can_select def can_resize(self) -> bool: """ Returns True if this item can be resized Returns: bool: True if item can be resized, False otherwise """ return self._can_resize def can_rotate(self) -> bool: """ Returns True if this item can be rotated Returns: bool: True if item can be rotated, False otherwise """ return self._can_rotate def can_move(self) -> bool: """ Returns True if this item can be moved Returns: bool: True if item can be moved, False otherwise """ return self._can_move def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (IShapeItemType,) def set_readonly(self, state: bool) -> None: """Set object readonly state Args: state: True if object is readonly, False otherwise """ self._readonly = state def is_readonly(self) -> bool: """Return object readonly state Returns: bool: True if object is readonly, False otherwise """ return self._readonly def set_private(self, state: bool) -> None: """Set object as private Args: state: True if object is private, False otherwise """ self._private = state def is_private(self) -> bool: """Return True if object is private Returns: bool: True if object is private, False otherwise """ return self._private def select(self) -> None: """ Select the object and eventually change its appearance to highlight the fact that it's selected """ if self.selected: # Already selected return self.selected = True self.markerparam.update_item(self) self.invalidate_plot() def unselect(self) -> None: """ Unselect the object and eventually restore its original appearance to highlight the fact that it's not selected anymore """ self.selected = False self.markerparam.update_item(self) self.invalidate_plot() def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ plot = self.plot() xc, yc = pos.x(), pos.y() x = plot.transform(self.xAxis(), self.xValue()) y = plot.transform(self.yAxis(), self.yValue()) ms = self.markerparam.markerstyle # The following assert has no purpose except reminding that the # markerstyle is one of the MARKERSTYLES dictionary values, in case # this dictionary evolves in the future (this should not fail): assert ms in list(MARKERSTYLES.values()) if ms == "NoLine": return math.sqrt((x - xc) ** 2 + (y - yc) ** 2), 0, False, None elif ms == "HLine": return math.sqrt((y - yc) ** 2), 0, False, None elif ms == "VLine": return math.sqrt((x - xc) ** 2), 0, False, None elif ms == "Cross": return math.sqrt(min((x - xc) ** 2, (y - yc) ** 2)), 0, False, None def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" self.markerparam.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ self.update_item_parameters() itemparams.add("MarkerParam", self, self.markerparam) def set_item_parameters(self, itemparams): """ Change the appearance of this item according to the parameter set provided params is a list of Datasets of the same types as those returned by get_item_parameters """ update_dataset( self.markerparam, itemparams.get("MarkerParam"), visible_only=True ) self.markerparam.update_item(self) if self.selected: self.select() def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ x, y = canvas_to_axes(self, pos) self.set_pos(x, y) def move_local_shape(self, old_pos: QPointF, new_pos: QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in canvas coordinates Args: old_pos: Old position new_pos: New position """ # This methods is never called because marker is not a shape (but a point) def move_with_selection(self, delta_x: float, delta_y: float) -> None: """Translate the item together with other selected items Args: delta_x: Translation in plot coordinates along x-axis delta_y: Translation in plot coordinates along y-axis """ # This methods is never called because marker is not a shape (but a point) # ------Public API----------------------------------------------------------- def set_style(self, section: str, option: str) -> None: """Set style for this item Args: section: Section option: Option """ self.markerparam.read_config(CONF, section, option) self.markerparam.update_item(self) def set_pos(self, x: float | None = None, y: float | None = None) -> None: """Set marker position Args: x: X value (if None, use current value) y: Y value (if None, use current value) """ if x is None: x = self.xValue() if y is None: y = self.yValue() if self.constraint_cb: x, y = self.constraint_cb(x, y) self.setValue(x, y) if self.plot(): self.plot().SIG_MARKER_CHANGED.emit(self) def get_pos(self) -> tuple[float, float]: """Get marker position Returns: Tuple with two elements (x, y) """ return self.xValue(), self.yValue() def set_markerstyle(self, style: str | int | None) -> None: """Set marker style Args: style: Marker style """ param = self.markerparam param.set_markerstyle(style) param.update_item(self) def is_vertical(self) -> bool: """Is it a vertical cursor? Returns: True if this is a vertical cursor """ return self.lineStyle() == QwtPlotMarker.VLine def is_horizontal(self) -> bool: """Is it a horizontal cursor? Returns: True if this is a horizontal cursor """ return self.lineStyle() == QwtPlotMarker.HLine def center_handle(self, x: float, y: float) -> tuple[float, float]: r"""Center cursor handle depending on marker style (\|, -) Args: x: X value y: Y value Returns: Tuple with two elements (x, y) """ plot = self.plot() if plot is None: self._pending_center_handle = True else: self._pending_center_handle = False if self.is_vertical(): ymap = plot.canvasMap(self.yAxis()) y_top, y_bottom = ymap.s1(), ymap.s2() y = 0.5 * (y_top + y_bottom) elif self.is_horizontal(): xmap = plot.canvasMap(self.xAxis()) x_left, x_right = xmap.s1(), xmap.s2() x = 0.5 * (x_left + x_right) return x, y def invalidate_plot(self) -> None: """Invalidate the plot to force a redraw""" plot = self.plot() if plot is not None: plot.invalidate() def update_label(self) -> None: """Update label""" x, y = self.xValue(), self.yValue() plot: BasePlot = self.plot() if self.label_cb: label = self.label_cb(x, y) if label is None: return elif self.is_vertical(): # Format x-coordinate considering datetime axis if plot is not None and plot.get_axis_scale(self.xAxis()) == "datetime": x_formatted = plot.format_coordinate_value(x, self.xAxis()) label = f"x = {x_formatted}" else: label = f"x = {x:g}" elif self.is_horizontal(): # Format y-coordinate considering datetime axis if plot is not None and plot.get_axis_scale(self.yAxis()) == "datetime": y_formatted = plot.format_coordinate_value(y, self.yAxis()) label = f"y = {y_formatted}" else: label = f"y = {y:g}" else: # Format both coordinates considering datetime axes if plot is not None: x_formatted = x y_formatted = y if plot.get_axis_scale(self.xAxis()) == "datetime": x_formatted = plot.format_coordinate_value(x, self.xAxis()) else: x_formatted = f"{x:g}" if plot.get_axis_scale(self.yAxis()) == "datetime": y_formatted = plot.format_coordinate_value(y, self.yAxis()) else: y_formatted = f"{y:g}" label = f"x = {x_formatted}
y = {y_formatted}" else: label = f"x = {x:g}
y = {y:g}" text = self.label() text.setText(label) self.setLabel(text) plot = self.plot() if plot is not None: xaxis = plot.axisScaleDiv(self.xAxis()) if x < (xaxis.upperBound() + xaxis.lowerBound()) / 2: hor_alignment = QC.Qt.AlignRight else: hor_alignment = QC.Qt.AlignLeft yaxis = plot.axisScaleDiv(self.yAxis()) ymap = plot.canvasMap(self.yAxis()) y_top, y_bottom = ymap.s1(), ymap.s2() if y < 0.5 * (yaxis.upperBound() + yaxis.lowerBound()): if y_top > y_bottom: ver_alignment = QC.Qt.AlignBottom else: ver_alignment = QC.Qt.AlignTop else: if y_top > y_bottom: ver_alignment = QC.Qt.AlignTop else: ver_alignment = QC.Qt.AlignBottom self.setLabelAlignment(hor_alignment | ver_alignment) assert_interfaces_valid(Marker) PlotPyStack-PlotPy-2af0906/plotpy/items/shape/point.py000066400000000000000000000046351525747167300230110ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from plotpy.items.shape.polygon import PolygonShape if TYPE_CHECKING: from plotpy.styles.shape import ShapeParam class PointShape(PolygonShape): """Point shape Args: x: X coordinate y: Y coordinate shapeparam: Shape parameters """ CLOSED = False _icon_name = "point_shape.png" def __init__( self, x: float = 0.0, y: float = 0.0, shapeparam: ShapeParam = None ) -> None: super().__init__(shapeparam=shapeparam) self.set_pos(x, y) def set_pos(self, x: float, y: float) -> None: """Set the point coordinates to (x, y) Args: x: X coordinate y: Y coordinate """ self.set_points([(x, y)]) def get_pos(self) -> tuple[float, float]: """Return the point coordinates Returns: Point coordinates """ return tuple(self.points[0]) def move_point_to( self, handle: int, pos: tuple[float, float], ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ nx, ny = pos self.points[0] = (nx, ny) def __reduce__(self) -> tuple: """Reduce object to picklable state""" state = (self.shapeparam, self.points, self.z()) return (self.__class__, (), state) def __setstate__(self, state: tuple) -> None: """Set object state from pickled state""" self.shapeparam, self.points, z = state self.setZ(z) self.shapeparam.update_item(self) def boundingRect(self) -> QC.QRectF: """Return the bounding rectangle of the shape Returns: Bounding rectangle of the shape """ poly = QG.QPolygonF() if self.ADDITIONNAL_POINTS: shape_points = self.points[: -self.ADDITIONNAL_POINTS] else: shape_points = self.points for i in range(shape_points.shape[0]): poly.append(QC.QPointF(shape_points[i, 0], shape_points[i, 1])) return poly.boundingRect() assert_interfaces_valid(PointShape) PlotPyStack-PlotPy-2af0906/plotpy/items/shape/polygon.py000066400000000000000000000357171525747167300233540ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import math import sys from typing import TYPE_CHECKING import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from qwt import QwtSymbol from plotpy.config import CONF, _ from plotpy.coords import canvas_to_axes from plotpy.interfaces import IBasePlotItem, ISerializableType, IShapeItemType from plotpy.items.shape.base import AbstractShape from plotpy.styles.shape import ShapeParam if TYPE_CHECKING: import guidata.io import qwt.scale_map import qwt.symbol from qtpy.QtCore import QPointF, QRectF from qtpy.QtGui import QBrush, QPainter, QPen, QPolygonF from plotpy.interfaces import IItemType from plotpy.plot.base import BasePlot from plotpy.styles.base import ItemParameters class PolygonShape(AbstractShape): """Polygon shape class Args: points: List of point coordinates closed: True if the polygon is closed, False otherwise shapeparam: Shape parameters """ __implements__ = (IBasePlotItem, ISerializableType) ADDITIONNAL_POINTS = 0 # Number of points which are not part of the shape LINK_ADDITIONNAL_POINTS = False # Link additionnal points with dotted lines CLOSED = True _icon_name = "polygon.png" def __init__( self, points: list[tuple[float, float]] | np.ndarray | None = None, closed: bool | None = None, shapeparam: ShapeParam | None = None, ) -> None: super().__init__() self.closed = self.CLOSED if closed is None else closed self.selected = False if shapeparam is None: self.shapeparam = ShapeParam(_("Shape"), icon="rectangle.png") else: self.shapeparam = shapeparam self.shapeparam.update_item(self) self.pen = QG.QPen() self.brush = QG.QBrush() self.symbol = QwtSymbol.NoSymbol self.sel_pen = QG.QPen() self.sel_brush = QG.QBrush() self.sel_symbol = QwtSymbol.NoSymbol self.points: np.ndarray | None = None self.set_points(points) def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (IShapeItemType, ISerializableType) def __reduce__(self) -> tuple[type, tuple, tuple]: """Return state information for pickling""" self.shapeparam.update_param(self) state = (self.shapeparam, self.points, self.closed, self.z()) return (PolygonShape, (), state) def __setstate__(self, state: tuple) -> None: """Set state information for unpickling""" self.shapeparam, self.points, self.closed, z = state self.setZ(z) self.shapeparam.update_item(self) def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ self.shapeparam.update_param(self) writer.write(self.shapeparam, group_name="shapeparam") writer.write(self.points, group_name="points") writer.write(self.closed, group_name="closed") writer.write(self.z(), group_name="z") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ self.closed = reader.read("closed") self.shapeparam = ShapeParam(_("Shape"), icon="rectangle.png") reader.read("shapeparam", instance=self.shapeparam) self.shapeparam.update_item(self) self.points = reader.read(group_name="points", func=reader.read_array) self.setZ(reader.read("z")) # ----Public API------------------------------------------------------------- def set_style(self, section: str, option: str) -> None: """Set style for this item Args: section: Section option: Option """ self.shapeparam.read_config(CONF, section, option) self.shapeparam.update_item(self) def set_points(self, points: list[tuple[float, float]] | np.ndarray | None) -> None: """Set polygon points Args: points: List of point coordinates """ if points is None: self.points = np.zeros((0, 2), float) else: self.points = np.array(points, float) assert self.points.shape[1] == 2 def get_points(self) -> np.ndarray: """Return polygon points Returns: Polygon points (array of shape (N, 2)) """ return self.points def set_closed(self, state: bool) -> None: """Set closed state Args: state: True if the polygon is closed, False otherwise """ self.closed = state def is_closed(self) -> bool: """Return True if the polygon is closed, False otherwise Returns: True if the polygon is closed, False otherwise """ return self.closed def get_center(self) -> tuple[float, float]: """Return the center of the polygon Returns: Center of the polygon """ if self.points is not None and self.points.size > 0: return self.points.mean(axis=0) return 0.0, 0.0 def boundingRect(self) -> QC.QRectF: """Return the bounding rectangle of the data Returns: Bounding rectangle of the data """ poly = QG.QPolygonF() if self.ADDITIONNAL_POINTS: shape_points = self.points[: -self.ADDITIONNAL_POINTS] else: shape_points = self.points for i in range(shape_points.shape[0]): poly.append(QC.QPointF(shape_points[i, 0], shape_points[i, 1])) return poly.boundingRect() def is_empty(self) -> bool: """Return True if the item is empty Returns: True if the item is empty, False otherwise """ return len(self.points) == 0 def get_bounding_rect_coords(self) -> tuple[float, float, float, float]: """Return bounding rectangle coordinates (in plot coordinates) Returns: Bounding rectangle coordinates (in plot coordinates) """ poly = QG.QPolygonF() shape_points = self.points[: -self.ADDITIONNAL_POINTS] for i in range(shape_points.shape[0]): poly.append(QC.QPointF(shape_points[i, 0], shape_points[i, 1])) return poly.boundingRect().getCoords() def transform_points( self, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap ) -> QPolygonF: """Transform points to canvas coordinates Args: xMap: X axis scale map yMap: Y axis scale map Returns: Transformed points """ points = QG.QPolygonF() for i in range(self.points.shape[0]): points.append( QC.QPointF( xMap.transform(self.points[i, 0]), yMap.transform(self.points[i, 1]) ) ) return points def get_reference_point(self) -> tuple[float, float] | None: """Return a reference point for the item Returns: Reference point for the item """ if self.points.size: return self.points.mean(axis=0) def get_pen_brush( self, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap ) -> tuple[QPen, QBrush, qwt.symbol.QwtSymbol]: """Get pen, brush and symbol for the item Args: xMap: X axis scale map yMap: Y axis scale map Returns: Tuple with pen, brush and symbol for the item """ if self.selected: pen = self.sel_pen brush = self.sel_brush sym = self.sel_symbol else: pen = self.pen brush = self.brush sym = self.symbol if self.points.size > 0: x0, y0 = self.get_reference_point() xx0 = xMap.transform(x0) yy0 = yMap.transform(y0) try: # Optimized version in PyQt >= v4.5 t0 = QG.QTransform.fromTranslate(xx0, yy0) except AttributeError: # Fallback for PyQt <= v4.4 t0 = QG.QTransform().translate(xx0, yy0) tr = brush.transform() tr = tr * t0 brush = QG.QBrush(brush) brush.setTransform(tr) return pen, brush, sym def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ pen, brush, symbol = self.get_pen_brush(xMap, yMap) painter.setRenderHint(QG.QPainter.Antialiasing) painter.setPen(pen) painter.setBrush(brush) points = self.transform_points(xMap, yMap) if self.ADDITIONNAL_POINTS: # Slice indexing is not supported by PySide6, so we convert the `QPolygonF` # object to a list before converting it back to a `QPolygonF` object: shape_points = QG.QPolygonF(list(points)[: -self.ADDITIONNAL_POINTS]) other_points = QG.QPolygonF(list(points)[-self.ADDITIONNAL_POINTS :]) else: shape_points = points other_points = [] if self.closed: painter.drawPolygon(shape_points) else: painter.drawPolyline(shape_points) if symbol != QwtSymbol.NoSymbol: symbol.drawSymbols(painter, points) if self.LINK_ADDITIONNAL_POINTS and other_points: pen2 = painter.pen() pen2.setStyle(QC.Qt.DotLine) painter.setPen(pen2) painter.drawPolyline(other_points) def poly_hit_test(self, plot: BasePlot, ax: int, ay: int, pos: QPointF) -> tuple: """Return a tuple (distance, attach point, inside, other_object) Args: plot: Plot ax: X axis index ay: Y axis index pos: Position Returns: Tuple with four elements (distance, attach point, inside, other_object). """ pos = QC.QPointF(pos) dist = sys.maxsize handle = -1 Cx, Cy = pos.x(), pos.y() poly = QG.QPolygonF() pts = self.points for i in range(pts.shape[0]): # Compute distance to the line segment in canvas coordinates px = plot.transform(ax, pts[i, 0]) py = plot.transform(ay, pts[i, 1]) if i < pts.shape[0] - self.ADDITIONNAL_POINTS: poly.append(QC.QPointF(px, py)) d = (Cx - px) ** 2 + (Cy - py) ** 2 if d < dist: dist = d handle = i inside = poly.containsPoint(QC.QPointF(Cx, Cy), QC.Qt.OddEvenFill) return math.sqrt(dist), handle, inside, None def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ if not self.plot(): return sys.maxsize, 0, False, None return self.poly_hit_test(self.plot(), self.xAxis(), self.yAxis(), pos) def add_local_point(self, pos: tuple[float, float]) -> int: """Add a point in canvas coordinates (local coordinates) Args: pos: Position Returns: Handle of the added point """ pt = canvas_to_axes(self, pos) return self.add_point(pt) def add_point(self, pt: tuple[float, float]) -> int: """Add a point in axis coordinates Args: pt: Position Returns: Handle of the added point """ if self.points.size == 0: self.points = np.array([pt]) return 0 N, _ = self.points.shape self.points = np.resize(self.points, (N + 1, 2)) self.points[N, :] = pt return N def del_point(self, handle: int) -> int: """Delete a point Args: handle: Handle Returns: Handle of the deleted point """ self.points = np.delete(self.points, handle, 0) if handle < len(self.points): return handle else: return self.points.shape[0] - 1 def move_point_to( self, handle: int, pos: tuple[float, float], ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ self.points[handle, :] = pos def move_shape(self, old_pos: QC.QPointF, new_pos: QC.QPointF) -> None: """Translate the shape such that old_pos becomes new_pos in axis coordinates Args: old_pos: Old position new_pos: New position """ dx = new_pos[0] - old_pos[0] dy = new_pos[1] - old_pos[1] self.points += np.array([[dx, dy]]) def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" self.shapeparam.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ self.update_item_parameters() itemparams.add("ShapeParam", self, self.shapeparam) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ update_dataset(self.shapeparam, itemparams.get("ShapeParam"), visible_only=True) self.shapeparam.update_item(self) assert_interfaces_valid(PolygonShape) PlotPyStack-PlotPy-2af0906/plotpy/items/shape/range.py000066400000000000000000000437411525747167300227550ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import math from typing import TYPE_CHECKING import guidata.io import numpy as np from guidata.dataset import update_dataset from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from plotpy.config import CONF, _ from plotpy.coords import canvas_to_axes from plotpy.items.shape.base import AbstractShape from plotpy.styles.shape import RangeShapeParam if TYPE_CHECKING: import qwt.scale_map from qtpy.QtCore import QPointF, QRectF from qtpy.QtGui import QPainter from qwt import QwtSymbol from plotpy.plot import BasePlot from plotpy.styles.base import ItemParameters class BaseRangeSelection(AbstractShape): """Range selection shape Args: _min: Minimum value _max: Maximum value shapeparam: Shape parameters """ _icon_name = "" # This should be set in subclasses def __init__( self, _min: float | None = None, _max: float | None = None, shapeparam: RangeShapeParam | None = None, ) -> None: super().__init__() self._min = _min self._max = _max if shapeparam is None: self.shapeparam = RangeShapeParam(_("Range"), icon="xrange.png") self.shapeparam.read_config(CONF, "histogram", "range") else: self.shapeparam: RangeShapeParam = shapeparam self.pen = None self.sel_pen = None self.brush = None self.handle = None self.symbol = None self.sel_symbol = None if self._min is not None and self._max is not None: self.shapeparam.update_item(self) # creates all the above QObjects def set_style(self, section: str, option: str) -> None: """Set style for this item Args: section: Section option: Option """ self.shapeparam.read_config(CONF, section, option) self.shapeparam.update_item(self) def __reduce__(self) -> tuple[type, tuple, tuple]: """Return state information for pickling""" self.shapeparam.update_param(self) state = (self.shapeparam, self._min, self._max) return (self.__class__, (), state) def __setstate__(self, state: tuple) -> None: """Restore state information from pickling""" self.shapeparam, self._min, self._max = state self.shapeparam.update_item(self) def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer """ self.shapeparam.update_param(self) writer.write(self.shapeparam, group_name="shapeparam") writer.write(self._min, group_name="min") writer.write(self._max, group_name="max") def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader """ self._min = reader.read("min") self._max = reader.read("max") self.shapeparam = RangeShapeParam(_("Range"), icon="xrange.png") reader.read("shapeparam", instance=self.shapeparam) self.shapeparam.update_item(self) def get_handles_pos(self) -> tuple[float, float, float]: """Return the handles position Returns: Tuple with three elements (x0, x1, y) or (y0, y1, x) depending on the orientation of the range selection. The first two elements are the positions of the handles, and the third element is the fixed position (either y or x) depending on the orientation. """ raise NotImplementedError("get_handles_pos must be implemented in subclasses") def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ raise NotImplementedError("draw must be implemented in subclasses") def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ raise NotImplementedError("hit_test must be implemented in subclasses") def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ raise NotImplementedError( "move_local_point_to must be implemented in subclasses" ) def move_point_to( self, handle: int, pos: tuple[float, float], ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ raise NotImplementedError("move_point_to must be implemented in subclasses") def move_shape( self, old_pos: tuple[float, float], new_pos: tuple[float, float] ) -> None: """Translate the shape such that old_pos becomes new_pos in axis coordinates Args: old_pos: Old position new_pos: New position """ raise NotImplementedError("move_shape must be implemented in subclasses") def boundingRect(self) -> QC.QRectF: """Return the bounding rectangle of the shape Returns: Bounding rectangle of the shape """ raise NotImplementedError("boundingRect must be implemented in subclasses") def get_range(self) -> tuple[float, float]: """Return the range Returns: Tuple with two elements (min, max). """ return self._min, self._max def set_range(self, _min: float, _max: float, dosignal: bool = True) -> None: """Set the range Args: _min: Minimum value _max: Maximum value dosignal: True to emit the SIG_RANGE_CHANGED signal """ self._min = _min self._max = _max plot = self.plot() if dosignal and plot is not None: plot.SIG_RANGE_CHANGED.emit(self, self._min, self._max) def update_item_parameters(self) -> None: """Update item parameters (dataset) from object properties""" self.shapeparam.update_param(self) def get_item_parameters(self, itemparams: ItemParameters) -> None: """ Appends datasets to the list of DataSets describing the parameters used to customize apearance of this item Args: itemparams: Item parameters """ self.update_item_parameters() itemparams.add("ShapeParam", self, self.shapeparam) def set_item_parameters(self, itemparams: ItemParameters) -> None: """ Change the appearance of this item according to the parameter set provided Args: itemparams: Item parameters """ update_dataset(self.shapeparam, itemparams.get("ShapeParam"), visible_only=True) self.shapeparam.update_item(self) self.sel_brush = QG.QBrush(self.brush) class XRangeSelection(BaseRangeSelection): """X range selection shape Args: _min: Minimum value _max: Maximum value shapeparam: Shape parameters """ _icon_name = "xrange.png" def get_handles_pos(self) -> tuple[float, float, float]: """Return the handles position Returns: Tuple with three elements (x0, x1, y). """ plot = self.plot() assert plot is not None, "Item must be attached to a plot" rct = plot.canvas().contentsRect() y = rct.center().y() x0 = plot.transform(self.xAxis(), self._min) x1 = plot.transform(self.xAxis(), self._max) return x0, x1, y def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ plot: BasePlot = self.plot() if not plot: return if self.selected: pen: QG.QPen = self.sel_pen sym: QwtSymbol = self.sel_symbol else: pen: QG.QPen = self.pen sym: QwtSymbol = self.symbol rct = QC.QRectF(plot.canvas().contentsRect()) rct.setLeft(xMap.transform(self._min)) rct.setRight(xMap.transform(self._max)) painter.fillRect(rct, self.brush) painter.setPen(pen) painter.drawLine(rct.topLeft(), rct.bottomLeft()) painter.drawLine(rct.topRight(), rct.bottomRight()) dash = QG.QPen(pen) dash.setStyle(QC.Qt.DashLine) dash.setWidth(1) painter.setPen(dash) cx = rct.center().x() painter.drawLine(QC.QPointF(cx, rct.top()), QC.QPointF(cx, rct.bottom())) if self.can_resize() and not self.is_readonly(): painter.setPen(pen) x0, x1, y = self.get_handles_pos() sym.drawSymbol(painter, QC.QPointF(x0, y)) sym.drawSymbol(painter, QC.QPointF(x1, y)) def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ x, _y = pos.x(), pos.y() x0, x1, _yp = self.get_handles_pos() d0 = math.fabs(x0 - x) d1 = math.fabs(x1 - x) d2 = math.fabs((x0 + x1) / 2 - x) z = np.array([d0, d1, d2]) dist = z.min() handle = z.argmin() inside = bool(x0 < x < x1) return dist, handle, inside, None def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ x, _y = canvas_to_axes(self, pos) self.move_point_to(handle, (x, 0), ctrl) def move_point_to( self, handle: int, pos: tuple[float, float], ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ val, _ = pos if handle == 0: self._min = val elif handle == 1: self._max = val elif handle == 2: move = val - (self._max + self._min) / 2 self._min += move self._max += move self.plot().SIG_RANGE_CHANGED.emit(self, self._min, self._max) def move_shape( self, old_pos: tuple[float, float], new_pos: tuple[float, float] ) -> None: """Translate the shape such that old_pos becomes new_pos in axis coordinates Args: old_pos: Old position new_pos: New position """ dx = new_pos[0] - old_pos[0] self._min += dx self._max += dx self.plot().SIG_RANGE_CHANGED.emit(self, self._min, self._max) self.plot().replot() def boundingRect(self) -> QC.QRectF: """Return the bounding rectangle of the shape Returns: Bounding rectangle of the shape """ return QC.QRectF(self._min, 0, self._max - self._min, 0) assert_interfaces_valid(XRangeSelection) class YRangeSelection(BaseRangeSelection): """Y range selection shape Args: _min: Minimum value _max: Maximum value shapeparam: Shape parameters """ _icon_name = "yrange.png" def get_handles_pos(self) -> tuple[float, float, float]: """Return the handles position Returns: Tuple with three elements (y0, y1, x). """ plot = self.plot() assert plot is not None, "Item must be attached to a plot" rct = plot.canvas().contentsRect() x = rct.center().x() y0 = plot.transform(self.yAxis(), self._min) y1 = plot.transform(self.yAxis(), self._max) return y0, y1, x def draw( self, painter: QPainter, xMap: qwt.scale_map.QwtScaleMap, yMap: qwt.scale_map.QwtScaleMap, canvasRect: QRectF, ) -> None: """Draw the item Args: painter: Painter xMap: X axis scale map yMap: Y axis scale map canvasRect: Canvas rectangle """ plot: BasePlot = self.plot() if not plot: return if self.selected: pen: QG.QPen = self.sel_pen sym: QwtSymbol = self.sel_symbol else: pen: QG.QPen = self.pen sym: QwtSymbol = self.symbol rct = QC.QRectF(plot.canvas().contentsRect()) rct.setTop(yMap.transform(self._max)) rct.setBottom(yMap.transform(self._min)) painter.fillRect(rct, self.brush) painter.setPen(pen) painter.drawLine(rct.topLeft(), rct.topRight()) painter.drawLine(rct.bottomLeft(), rct.bottomRight()) dash = QG.QPen(pen) dash.setStyle(QC.Qt.DashLine) dash.setWidth(1) painter.setPen(dash) cy = rct.center().y() painter.drawLine(QC.QPointF(rct.left(), cy), QC.QPointF(rct.right(), cy)) if self.can_resize() and not self.is_readonly(): painter.setPen(pen) y0, y1, x = self.get_handles_pos() sym.drawSymbol(painter, QC.QPointF(x, y0)) sym.drawSymbol(painter, QC.QPointF(x, y1)) def hit_test(self, pos: QPointF) -> tuple[float, float, bool, None]: """Return a tuple (distance, attach point, inside, other_object) Args: pos: Position Returns: tuple: Tuple with four elements: (distance, attach point, inside, other_object). Description of the returned values: * distance: distance in pixels (canvas coordinates) to the closest attach point * attach point: handle of the attach point * inside: True if the mouse button has been clicked inside the object * other_object: if not None, reference of the object which will be considered as hit instead of self """ _x, y = pos.x(), pos.y() y0, y1, _xp = self.get_handles_pos() d0 = math.fabs(y0 - y) d1 = math.fabs(y1 - y) d2 = math.fabs((y0 + y1) / 2 - y) z = np.array([d0, d1, d2]) dist = z.min() handle = z.argmin() inside = bool(y0 < y < y1) return dist, handle, inside, None def move_local_point_to(self, handle: int, pos: QPointF, ctrl: bool = None) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ _x, y = canvas_to_axes(self, pos) self.move_point_to(handle, (0, y), ctrl) def move_point_to( self, handle: int, pos: tuple[float, float], ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ _, val = pos if handle == 0: self._min = val elif handle == 1: self._max = val elif handle == 2: move = val - (self._max + self._min) / 2 self._min += move self._max += move self.plot().SIG_RANGE_CHANGED.emit(self, self._min, self._max) def move_shape( self, old_pos: tuple[float, float], new_pos: tuple[float, float] ) -> None: """Translate the shape such that old_pos becomes new_pos in axis coordinates Args: old_pos: Old position new_pos: New position """ dy = new_pos[1] - old_pos[1] self._min += dy self._max += dy self.plot().SIG_RANGE_CHANGED.emit(self, self._min, self._max) self.plot().replot() def boundingRect(self) -> QC.QRectF: """Return the bounding rectangle of the shape Returns: Bounding rectangle of the shape """ return QC.QRectF(0, self._min, 0, self._max - self._min) assert_interfaces_valid(YRangeSelection) PlotPyStack-PlotPy-2af0906/plotpy/items/shape/rectangle.py000066400000000000000000000254641525747167300236270ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING import numpy as np from guidata.utils.misc import assert_interfaces_valid from plotpy.items.shape.polygon import PolygonShape from plotpy.mathutils.geometry import ( compute_center, vector_norm, vector_projection, vector_rotation, ) if TYPE_CHECKING: from plotpy.styles.shape import ShapeParam def _no_null_vector(x0, y0, x1, y1, x2, y2, x3, y3): return ( vector_norm(x0, y0, x1, y1) and vector_norm(x0, y0, x2, y2) and vector_norm(x0, y0, x3, y3) and vector_norm(x1, y1, x2, y2) and vector_norm(x1, y1, x3, y3) and vector_norm(x2, y2, x3, y3) ) class RectangleShape(PolygonShape): """Rectangle shape Args: x1: X coordinate of the top-left corner y1: Y coordinate of the top-left corner x2: X coordinate of the bottom-right corner y2: Y coordinate of the bottom-right corner shapeparam: Shape parameters """ CLOSED = True _icon_name = "rectangle.png" def __init__( self, x1: float = 0.0, y1: float = 0.0, x2: float = 0.0, y2: float = 0.0, shapeparam: ShapeParam | None = None, ) -> None: super().__init__(shapeparam=shapeparam) self.set_rect(x1, y1, x2, y2) def set_rect(self, x1: float, y1: float, x2: float, y2: float) -> None: """Set the coordinates of the rectangle Args: x1: X coordinate of the top-left corner y1: Y coordinate of the top-left corner x2: X coordinate of the bottom-right corner y2: Y coordinate of the bottom-right corner """ self.set_points([(x1, y1), (x2, y1), (x2, y2), (x1, y2)]) def get_rect(self) -> tuple[float, float, float, float]: """Return the coordinates of the rectangle Returns: Coordinates of the rectangle """ return tuple(self.points[0]) + tuple(self.points[2]) def get_center(self) -> tuple[float, float]: """Return center coordinates Returns: Center coordinates """ return compute_center(*self.get_rect()) def move_point_to( self, handle: int, pos: tuple[float, float], ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ nx, ny = pos x1, y1, x2, y2 = self.get_rect() if handle == 0: self.set_rect(nx, ny, x2, y2) elif handle == 1: self.set_rect(x1, ny, nx, y2) elif handle == 2: self.set_rect(x1, y1, nx, ny) elif handle == 3: self.set_rect(nx, y1, x2, ny) elif handle == -1: delta = (nx, ny) - self.points.mean(axis=0) self.points += delta def __reduce__(self) -> tuple: """Return the state of the object for pickling""" state = (self.shapeparam, self.points, self.z()) return (self.__class__, (), state) def __setstate__(self, state: tuple) -> None: """Set the state of the object from pickling""" self.shapeparam, self.points, z = state self.setZ(z) self.shapeparam.update_item(self) assert_interfaces_valid(RectangleShape) class ObliqueRectangleShape(PolygonShape): """Oblique rectangle shape Args: x0: X coordinate of the top-left corner y0: Y coordinate of the top-left corner x1: X coordinate of the top-right corner y1: Y coordinate of the top-right corner x2: X coordinate of the bottom-right corner y2: Y coordinate of the bottom-right corner x3: X coordinate of the bottom-left corner y3: Y coordinate of the bottom-left corner shapeparam: Shape parameters """ CLOSED = True ADDITIONNAL_POINTS = 2 # Number of points which are not part of the shape LINK_ADDITIONNAL_POINTS = True # Link additionnal points with dotted lines _icon_name = "oblique_rectangle.png" def __init__( self, x0: float = 0.0, y0: float = 0.0, x1: float = 0.0, y1: float = 0.0, x2: float = 0.0, y2: float = 0.0, x3: float = 0.0, y3: float = 0.0, shapeparam: ShapeParam | None = None, ) -> None: super().__init__(shapeparam=shapeparam) self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3) def set_rect( self, x0: float, y0: float, x1: float, y1: float, x2: float, y2: float, x3: float, y3: float, ) -> None: """Set the coordinates of the rectangle Args: x0: X coordinate of the top-left corner y0: Y coordinate of the top-left corner x1: X coordinate of the top-right corner y1: Y coordinate of the top-right corner x2: X coordinate of the bottom-right corner y2: Y coordinate of the bottom-right corner x3: X coordinate of the bottom-left corner y3: Y coordinate of the bottom-left corner :: x: additionnal points (handles used for rotation -- other handles being used for rectangle resizing) (x0, y0)------>(x1, y1) โ†‘ | | | x x | | | โ†“ (x3, y3)<------(x2, y2) """ self.set_points( [ (x0, y0), (x1, y1), (x2, y2), (x3, y3), (0.5 * (x0 + x3), 0.5 * (y0 + y3)), (0.5 * (x1 + x2), 0.5 * (y1 + y2)), ] ) def get_rect(self) -> tuple[float, float, float, float, float, float, float, float]: """Return the coordinates of the rectangle Returns: Coordinates of the rectangle """ return self.points.ravel()[: -self.ADDITIONNAL_POINTS * 2] def get_center(self) -> tuple[float, float]: """Return center coordinates Returns: Center coordinates """ rect = tuple(self.points[0]) + tuple(self.points[2]) return compute_center(*rect) def move_point_to( self, handle: int, pos: tuple[float, float], ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ nx, ny = pos x0, y0, x1, y1, x2, y2, x3, y3 = self.get_rect() if handle == 0: if vector_norm(x2, y2, x3, y3) and vector_norm(x2, y2, x1, y1): v0n = np.array((nx - x0, ny - y0)) x3, y3 = vector_projection(v0n, x2, y2, x3, y3) x1, y1 = vector_projection(v0n, x2, y2, x1, y1) x0, y0 = nx, ny if _no_null_vector(x0, y0, x1, y1, x2, y2, x3, y3): self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3) elif handle == 1: if vector_norm(x3, y3, x0, y0) and vector_norm(x3, y3, x2, y2): v1n = np.array((nx - x1, ny - y1)) x0, y0 = vector_projection(v1n, x3, y3, x0, y0) x2, y2 = vector_projection(v1n, x3, y3, x2, y2) x1, y1 = nx, ny if _no_null_vector(x0, y0, x1, y1, x2, y2, x3, y3): self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3) elif handle == 2: if vector_norm(x0, y0, x1, y1) and vector_norm(x0, y0, x3, y3): v2n = np.array((nx - x2, ny - y2)) x1, y1 = vector_projection(v2n, x0, y0, x1, y1) x3, y3 = vector_projection(v2n, x0, y0, x3, y3) x2, y2 = nx, ny if _no_null_vector(x0, y0, x1, y1, x2, y2, x3, y3): self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3) elif handle == 3: if vector_norm(x1, y1, x0, y0) and vector_norm(x1, y1, x2, y2): v3n = np.array((nx - x3, ny - y3)) x0, y0 = vector_projection(v3n, x1, y1, x0, y0) x2, y2 = vector_projection(v3n, x1, y1, x2, y2) x3, y3 = nx, ny if _no_null_vector(x0, y0, x1, y1, x2, y2, x3, y3): self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3) elif handle == 4: x4, y4 = 0.5 * (x0 + x3), 0.5 * (y0 + y3) x5, y5 = 0.5 * (x1 + x2), 0.5 * (y1 + y2) nx, ny = x0 + nx - x4, y0 + ny - y4 # moving handle #4 to handle #0 v10 = np.array((x0 - x1, y0 - y1)) v12 = np.array((x2 - x1, y2 - y1)) v10n = np.array((nx - x1, ny - y1)) k = np.linalg.norm(v12) / np.linalg.norm(v10) v12n = vector_rotation(-np.pi / 2, *v10n) * k x2, y2 = v12n + np.array([x1, y1]) x3, y3 = v12n + v10n + np.array([x1, y1]) x0, y0 = nx, ny dx = x5 - 0.5 * (x1 + x2) dy = y5 - 0.5 * (y1 + y2) x0, y0 = x0 + dx, y0 + dy x1, y1 = x1 + dx, y1 + dy x2, y2 = x2 + dx, y2 + dy x3, y3 = x3 + dx, y3 + dy self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3) elif handle == 5: x4, y4 = 0.5 * (x0 + x3), 0.5 * (y0 + y3) x5, y5 = 0.5 * (x1 + x2), 0.5 * (y1 + y2) nx, ny = x1 + nx - x5, y1 + ny - y5 # moving handle #5 to handle #1 v01 = np.array((x1 - x0, y1 - y0)) v03 = np.array((x3 - x0, y3 - y0)) v01n = np.array((nx - x0, ny - y0)) k = np.linalg.norm(v03) / np.linalg.norm(v01) v03n = vector_rotation(np.pi / 2, *v01n) * k x3, y3 = v03n + np.array([x0, y0]) x2, y2 = v03n + v01n + np.array([x0, y0]) x1, y1 = nx, ny dx = x4 - 0.5 * (x0 + x3) dy = y4 - 0.5 * (y0 + y3) x0, y0 = x0 + dx, y0 + dy x1, y1 = x1 + dx, y1 + dy x2, y2 = x2 + dx, y2 + dy x3, y3 = x3 + dx, y3 + dy self.set_rect(x0, y0, x1, y1, x2, y2, x3, y3) elif handle == -1: delta = (nx, ny) - self.points.mean(axis=0) self.points += delta def __reduce__(self) -> tuple: """Return the state of the object for pickling""" state = (self.shapeparam, self.points, self.z()) return (self.__class__, (), state) def __setstate__(self, state: tuple) -> None: """Set the state of the object from pickling""" self.shapeparam, self.points, z = state self.setZ(z) self.shapeparam.update_item(self) assert_interfaces_valid(ObliqueRectangleShape) PlotPyStack-PlotPy-2af0906/plotpy/items/shape/segment.py000066400000000000000000000104501525747167300233120ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING import numpy as np from guidata.utils.misc import assert_interfaces_valid from plotpy.items.shape.polygon import PolygonShape if TYPE_CHECKING: from plotpy.styles.shape import ShapeParam class SegmentShape(PolygonShape): """Segment shape Args: x1: X coordinate of the first point y1: Y coordinate of the first point x2: X coordinate of the second point y2: Y coordinate of the second point shapeparam: Shape parameters """ CLOSED = False ADDITIONNAL_POINTS = 1 # Number of points which are not part of the shape _icon_name = "segment.png" def __init__( self, x1: float = 0.0, y1: float = 0.0, x2: float = 0.0, y2: float = 0.0, shapeparam: ShapeParam = None, ): super().__init__(shapeparam=shapeparam) self.set_rect(x1, y1, x2, y2) def set_rect(self, x1: float, y1: float, x2: float, y2: float) -> None: """Set the segment coordinates Args: x1: X coordinate of the first point y1: Y coordinate of the first point x2: X coordinate of the second point y2: Y coordinate of the second point """ self.set_points([(x1, y1), (x2, y2), (0.5 * (x1 + x2), 0.5 * (y1 + y2))]) def get_rect(self) -> tuple[float, float, float, float]: """Return the segment coordinates Returns: Segment coordinates as a tuple (x1, y1, x2, y2) """ return tuple(self.points[0]) + tuple(self.points[1]) def move_point_to( self, handle: int, pos: tuple[float, float], ctrl: bool = False ) -> None: """Move a handle as returned by hit_test to the new position Args: handle: Handle pos: Position ctrl: True if button is being pressed, False otherwise """ nx, ny = pos x1, y1, x2, y2 = self.get_rect() if ctrl: # compute linear coefficient y = a * x + b # When ctrl is pressed, the point is moved on the line # defined by the segment, and the line is conserved # (the segment is not rotated) if x2 == x1: yA = ny xA = x1 elif y2 == y1: yA = y1 xA = nx else: a = (y2 - y1) / (x2 - x1) b = y1 - a * x1 xA = a / (a * a + 1) * (nx / a + ny - b) yA = a * xA + b if handle == 0: self.set_rect(xA, yA, x2, y2) elif handle == 1: self.set_rect(x1, y1, xA, yA) elif handle in (2, -1): # selection du point milieu, on dรฉplace le segment # c'est identique au comportmeent sans la touche Ctrl delta = (nx, ny) - self.points.mean(axis=0) self.points += delta else: # Ctrl is not pressed, the segment may be rotated freely if handle == 0: self.set_rect(nx, ny, x2, y2) elif handle == 1: self.set_rect(x1, y1, nx, ny) elif handle in (2, -1): delta = (nx, ny) - self.points.mean(axis=0) self.points += delta def __reduce__(self) -> tuple: """Reduce object to picklable state""" state = (self.shapeparam, self.points, self.z()) return (self.__class__, (), state) def __setstate__(self, state: tuple) -> None: """Set object state from pickled state""" param, points, z = state # ---------------------------------------------------------------------- # compatibility with previous version of SegmentShape: x1, y1, x2, y2, x3, y3 = points.ravel() v12 = np.array((x2 - x1, y2 - y1)) v13 = np.array((x3 - x1, y3 - y1)) if np.linalg.norm(v12) < np.linalg.norm(v13): # old pickle format points = np.flipud(np.roll(points, -1, axis=0)) # ---------------------------------------------------------------------- self.points = points self.setZ(z) self.shapeparam = param self.shapeparam.update_item(self) assert_interfaces_valid(SegmentShape) PlotPyStack-PlotPy-2af0906/plotpy/items/shape/svg.py000066400000000000000000000105651525747167300224560ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # For licensing and distribution details, please read carefully xgrid/__init__.py # pylint: disable=invalid-name # Allows short reference names like x, y, ... from __future__ import annotations from qtpy import QtCore as QC from qtpy import QtGui as QG from qtpy import QtSvg as QS from qwt.scale_map import QwtScaleMap from qwt.symbol import QwtSymbol from plotpy.items import shape from plotpy.styles import ShapeParam class RectangleSVGShape(shape.RectangleShape): """Rectangle SVG shape Args: x1: X coordinate of the top-left corner y1: Y coordinate of the top-left corner x2: X coordinate of the bottom-right corner y2: Y coordinate of the bottom-right corner svg_data: SVG bytes shapeparam: Shape parameters """ def __init__( self, x1: float = 0.0, y1: float = 0.0, x2: float = 0.0, y2: float = 0.0, svg_data: bytes | None = None, shapeparam: ShapeParam = None, ) -> None: self.svg_data = svg_data shape.RectangleShape.__init__(self, x1, y1, x2, y2, shapeparam) def set_data(self, svg_data: bytes) -> None: """Set SVG data""" self.svg_data = svg_data def draw( self, painter: QG.QPainter, xMap: QwtScaleMap, yMap: QwtScaleMap, canvasRect: QC.QRectF, ) -> None: """Draw shape (reimplement shape.Shape.draw))""" points = self.transform_points(xMap, yMap) renderer = QS.QSvgRenderer(self.svg_data) renderer.render(painter, points.boundingRect()) class SquareSVGShape(RectangleSVGShape): """Square SVG shape Args: svg_data: SVG bytes x1: X coordinate of the top-left corner y1: Y coordinate of the top-left corner x2: X coordinate of the bottom-right corner y2: Y coordinate of the bottom-right corner shapeparam: Shape parameters """ def move_point_to(self, handle: int, pos: tuple[float], ctrl: bool = None): """Reimplement RectangleShape.move_point_to""" nx, ny = pos x1, y1, x2, y2 = self.get_rect() if handle == 0: self.set_rect(nx, y2 - (x2 - nx), x2, y2) elif handle == 1: self.set_rect(x1, y2 - (nx - x1), nx, y2) elif handle == 2: self.set_rect(x1, y1, nx, y1 + (nx - x1)) elif handle == 3: self.set_rect(nx, y1, x2, y1 + (x2 - nx)) elif handle == -1: delta = (nx, ny) - self.points.mean(axis=0) self.points += delta class CircleSVGShape(shape.EllipseShape): """Circle SVG shape Args: x1: X coordinate of the top-left corner y1: Y coordinate of the top-left corner x2: X coordinate of the bottom-right corner y2: Y coordinate of the bottom-right corner svg_data: SVG bytes shapeparam: Shape parameters """ def __init__( self, x1: float = 0.0, y1: float = 0.0, x2: float = 0.0, y2: float = 0.0, svg_data: bytes | None = None, shapeparam: ShapeParam = None, ) -> None: self.svg_data = svg_data shape.EllipseShape.__init__(self, x1, y1, x2, y2, shapeparam) def set_data(self, svg_data: bytes) -> None: """Set SVG data""" self.svg_data = svg_data def draw( self, painter: QG.QPainter, xMap: QwtScaleMap, yMap: QwtScaleMap, canvasRect: QC.QRectF, ) -> None: """Draw shape (reimplement shape.Shape.draw))""" points, line0, line1, rect = self.compute_elements(xMap, yMap) if canvasRect.intersects(rect) and self.svg_data is not None: pen, brush, symbol = self.get_pen_brush(xMap, yMap) painter.setRenderHint(QG.QPainter.Antialiasing) painter.setPen(pen) painter.setBrush(brush) painter.drawLine(line0) painter.drawLine(line1) painter.save() painter.translate(rect.center()) painter.rotate(-line0.angle()) painter.translate(-rect.center()) renderer = QS.QSvgRenderer(self.svg_data) renderer.render(painter, rect) painter.restore() if symbol != QwtSymbol.NoSymbol: for i in range(points.size()): symbol.drawSymbol(painter, points[i].toPoint()) PlotPyStack-PlotPy-2af0906/plotpy/locale/000077500000000000000000000000001525747167300203145ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/locale/fr/000077500000000000000000000000001525747167300207235ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/locale/fr/LC_MESSAGES/000077500000000000000000000000001525747167300225105ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/locale/fr/LC_MESSAGES/plotpy.po000066400000000000000000001071651525747167300244110ustar00rootroot00000000000000# French translations for plotpy. # Copyright (C) 2026 CEA, Codra, Pierre Raybaut # This file is distributed under the same license as the plotpy project. # msgid "" msgstr "" "Language: fr\n" "Plural-Forms: nplurals=2; plural=(n > 1);\n" "MIME-Version: 1.0\n" "Content-Type: text/plain; charset=utf-8\n" "Content-Transfer-Encoding: 8bit\n" msgid "Annotation" msgstr "Annotation" msgid "Curve" msgstr "Courbe" msgid "Error bars" msgstr "Barres d'erreur" msgid "Histogram" msgstr "Histogramme" msgid "Marker" msgstr "Marqueur" msgid "Vector field" msgstr "Champ de vecteurs" msgid "Image" msgstr "Image" msgid "Filter" msgstr "Filtre" msgid "2D Histogram" msgstr "Histogramme 2D" msgid "Label" msgstr "ร‰tiquette" msgid "Legend" msgstr "Lรฉgende" msgid "Computation" msgstr "Calcul" msgid "Grid" msgstr "Grille" msgid "#" msgstr "nยฐ" msgid "pixels" msgstr "pixels" msgid "Intensity" msgstr "Intensitรฉ" msgid "lsb" msgstr "lsb" msgid "Grid..." msgstr "Grille..." msgid "Axes style..." msgstr "Style des axes..." msgid "Parameters..." msgstr "Paramรจtres..." msgid "None" msgstr "Aucun" msgid "Constant" msgstr "Constante" msgid "Linear" msgstr "Linรฉaire" msgid "Sigmoid" msgstr "Sigmoรฏde" msgid "Hyperbolic tangent" msgstr "Tangente hyperbolique" msgid "Step" msgstr "Echelon" msgid "Alpha function applied to the Look-Up Table (LUT)
to control the transparency of the image:
(maximum opacity is given by the Global alpha parameter)

None: No alpha function
Constant: Constant alpha function
Linear: Linear alpha function
Sigmoid: Sigmoid alpha function
Hyperbolic tangent: Hyperbolic tangent alpha function
Step: Lowest value of the LUT is 100% transparent, other values are opaque" msgstr "La fonction alpha appliquรฉe ร  la LUT (Look-Up Table)
pour contrรดler la transparence de l'image:
(l'opacitรฉ maximale est donnรฉe par le paramรจtre Alpha global)

Aucun: Pas de fonction alpha
Constante: Fonction alpha constante
Linรฉaire: Fonction alpha linรฉaire
Sigmoรฏde: Fonction alpha sigmoรฏde
Tangente hyperbolique: Fonction alpha tangente hyperbolique
Echelon: La plus petite valeur de la LUT est 100% transparente, les autres valeurs sont opaques" msgid "All supported files" msgstr "Tous les fichiers pris en charge" msgid "PNG files" msgstr "Fichiers PNG" msgid "TIFF files" msgstr "Fichiers TIFF" msgid "8-bit images" msgstr "Images 8 bits" msgid "NumPy arrays" msgstr "Tableaux NumPy" msgid "Text files" msgstr "Fichiers textes" msgid "DICOM files" msgstr "Fichiers DICOM" msgid "Position:" msgstr "Position :" msgid "Center:" msgstr "Centre :" msgid "Distance:" msgstr "Distance :" msgid "Angle:" msgstr "Angle :" msgid "Size:" msgstr "Taille :" msgid "Diameter:" msgstr "Diamรจtre :" msgid "Vertices" msgstr "Sommets" msgid "Vertices of the line" msgstr "Sommets de la ligne" msgid "Level" msgstr "Niveau" msgid "Level of the line" msgstr "Niveau de la ligne" msgid "Contour" msgstr "Contour" msgid "Non-linear scales are not supported for image items" msgstr "Les รฉchelles non linรฉaires ne sont pas prises en charge pour les images" msgid "Quadrilaterals" msgstr "Quadrilatรจres" msgid "There is no supported image item in current plot." msgstr "La figure ne contient aucun objet image pris en charge." msgid "PolygonMap" msgstr "Polygone" msgid "Axes" msgstr "Axes" msgid "Shape" msgstr "Forme" msgid "Range" msgstr "Intervalle" msgid "Eliminate outliers" msgstr "ร‰liminer les bords" msgid "Contrast" msgstr "Contraste" msgid "Min." msgstr "Min." msgid "Select minimum level on image" msgstr "Sรฉlectionne le niveau minimum de l'image" msgid "Max." msgstr "Max." msgid "Select maximum level on image" msgstr "Sรฉlectionne le niveau maximum de l'image" msgid "Full range" msgstr "Pleine รฉchelle" msgid "Scale the image's display range according to data range" msgstr "Adapte l'รฉchelle d'affichage des niveaux de l'image aux donnรฉes" msgid "Eliminate %" msgstr "ร‰liminer %" msgid "Eliminate outliers from the image's display range, based on a percentage of the data range" msgstr "Elimine les bords de l'histogramme des niveaux de l'image, en fonction d'un pourcentage de la dynamique" msgid "Set range" msgstr "Dรฉfinir l'รฉchelle" msgid "Set the image's display range manually" msgstr "Dรฉfinit manuellement l'รฉchelle d'affichage des niveaux de l'image" msgid "Min. level" msgstr "Niveau min." msgid "Max. level" msgstr "Niveau max." msgid "Cross section" msgstr "Profil rectiligne" msgid "Average cross section" msgstr "Profil rectiligne moyen" msgid "LUT scale" msgstr "ร‰chelle LUT" msgid "Enable a marker" msgstr "Activer un marqueur" msgid "Oblique averaged cross section" msgstr "Profil oblique moyen" msgid "Activate the oblique cross section tool" msgstr "Activer l'outil de profil oblique moyen" msgid "Line cross section" msgstr "Profil sur un segment" msgid "Activate the line cross section tool" msgstr "Activer l'outil de profil sur un segment" msgid "Cross section tool" msgstr "Profils d'images" msgid "Lock scales" msgstr "Synchroniser les รฉchelles" msgid "Lock scales to main plot axes" msgstr "Synchroniser les รฉchelles ร  celles du canevas" msgid "Auto-scale" msgstr "ร‰chelle automatique" msgid "Refresh" msgstr "Rafraรฎchir" msgid "Auto-refresh" msgstr "Rafraรฎchissement automatique" msgid "Per image cross-section" msgstr "Un profil par image" msgid "" "Enable the per-image cross-section mode, which works directly on image rows/columns.\n" "That is the fastest method to compute cross-section curves but it ignores image transformations (e.g. rotation)" msgstr "" "Active l'affichage d'un profil par image : ce mode d'affichage extrait les profils directement depuis les lignes ou les colonnes des images.\n" "C'est la mรฉthode la plus rapide, mais cela ne fonctionne pas sur des images ayant subies une transformation (rotation, par exemple)." msgid "" "Apply LUT\n" "(contrast settings)" msgstr "" "Appliquer la LUT\n" "(rรฉglages de contraste)" msgid "" "Apply LUT (Look-Up Table) contrast settings.\n" "This is the easiest way to compare images which have slightly different level ranges.\n" "\n" "Note: LUT is coded over 1024 levels (0...1023)" msgstr "" "Applique les rรฉglages de contraste de la LUT (Look-Up Table).\n" "C'est le moyen le plus facile pour comparer (en relatif) des images ayant des dynamiques trรจs diffรฉrentes.\n" "\n" "Note : la LUT est codรฉe sur 1024 niveaux (0...1023)" msgid "Rename" msgstr "Renommer" msgid "Move to back" msgstr "Dรฉplacer vers l'arriรจre-plan" msgid "Move to front" msgstr "Dรฉplacer vers le premier plan" msgid "Remove" msgstr "Supprimer" msgid "Axes associated to selected item" msgstr "Axes associรฉs ร  l'objet sรฉlectionnรฉ" msgid "New title:" msgstr "Nouveau titre :" msgid "Do you really want to remove this item?" msgstr "Souhaitez-vous vraiment supprimer cet objet ?" msgid "Do you really want to remove selected items?" msgstr "Souhaitez-vous vraiment supprimer les objets sรฉlectionnรฉs ?" msgid "Item list" msgstr "Liste des objets" msgid "Left" msgstr "Gauche" msgid "Right" msgstr "Droite" msgid "Bottom" msgstr "Bas" msgid "Top" msgstr "Haut" msgid "Unknown file extension" msgstr "Extension de fichier inconnue" msgid "Y Axis" msgstr "Ordonnรฉes" msgid "X Axis" msgstr "Abscisses" msgid "Tools" msgstr "Outils" #, python-format msgid "" "Function 'savefig' currently supports the following formats:\n" "%s" msgstr "" "La fonction 'savefig' prend actuellement en charge les formats suivants :\n" "%s" msgid "Title" msgstr "Titre" msgid "Unit" msgstr "Unitรฉ" msgid "Color" msgstr "Couleur" msgid "Title font" msgstr "Police du titre" msgid "Values font" msgstr "Police des valeurs" msgid "Scale" msgstr "ร‰chelle" msgid "logarithmic" msgstr "logarithmique" msgid "linear" msgstr "linรฉaire" msgid "date/time" msgstr "date/heure" msgid "Autoscale strategy" msgstr "Stratรฉgie d'autoscale" msgid "Auto" msgstr "Automatique" msgid "Fixed range" msgstr "Plage fixe" msgid "Disabled" msgstr "Dรฉsactivรฉe" msgid "Strategy used by the AutoScale action for this axis: 'Auto' computes bounds from items, 'Fixed range' applies the Min/Max values defined above, 'Disabled' leaves the axis untouched." msgstr "Stratรฉgie utilisรฉe par l'action AutoScale pour cet axe : ยซ Automatique ยป calcule les bornes ร  partir des รฉlรฉments, ยซ Plage fixe ยป applique les valeurs Min/Max dรฉfinies ci-dessus, ยซ Dรฉsactivรฉe ยป laisse l'axe inchangรฉ." msgid "Lower axis limit" msgstr "Borne infรฉrieure de l'axe" msgid "Upper axis limit" msgstr "Borne supรฉrieure de l'axe" msgid "X-axis position" msgstr "Position de l'axe des abscisses" msgid "bottom" msgstr "bas" msgid "top" msgstr "haut" msgid "Y-axis position" msgstr "Position de l'axe des ordonnรฉes" msgid "left" msgstr "gauche" msgid "right" msgstr "droite" msgid "Lower x-axis limit" msgstr "Borne infรฉrieure de l'axe des abscisses" msgid "Upper x-axis limit" msgstr "Borne supรฉrieure de l'axe des abscisses" msgid "Lower y-axis limit" msgstr "Borne infรฉrieure de l'axe des ordonnรฉes" msgid "Upper y-axis limit" msgstr "Borne supรฉrieure de l'axe des ordonnรฉes" msgid "Z Axis" msgstr "Axe Z" msgid "Lower z-axis limit" msgstr "Limite infรฉrieure de l'axe z" msgid "Upper z-axis limit" msgstr "Limite supรฉrieure de l'axe z" msgid "Solid line" msgstr "Trait continu" msgid "Dashed line" msgstr "Tirets" msgid "Dotted line" msgstr "Pointillรฉs" msgid "Dash-dot line" msgstr "Tirets-points" msgid "Dash-dot-dot line" msgstr "Tirets-points-points" msgid "No line" msgstr "Aucun trait" msgid "Cross" msgstr "Plus" msgid "Ellipse" msgstr "Ellipse" msgid "Star" msgstr "ร‰toile" msgid "X-Cross" msgstr "Croix" msgid "Square" msgstr "Carrรฉ" msgid "Diamond" msgstr "Losange" msgid "Triangle" msgstr "Triangle" msgid "Hexagon" msgstr "Hexagone" msgid "No symbol" msgstr "Aucun symbole" msgid "Lines" msgstr "Lignes" msgid "Sticks" msgstr "Bรขtonnets" msgid "Steps" msgstr "Pas" msgid "Dots" msgstr "Points" msgid "No curve" msgstr "Pas de courbe" msgid "No brush pattern" msgstr "Pas de motif de remplissage" msgid "Uniform color" msgstr "Couleur de remplissage uniforme" msgid "Extremely dense brush pattern" msgstr "Motif extrรชmement dense" msgid "Very dense brush pattern" msgstr "Motif trรจs dense" msgid "Somewhat dense brush pattern" msgstr "Motif quelque peu dense" msgid "Half dense brush pattern" msgstr "Motif de densitรฉ moyenne" msgid "Somewhat sparse brush pattern" msgstr "Motif quelque peu clairsemรฉ" msgid "Very sparse brush pattern" msgstr "Motif trรจs clairsemรฉ" msgid "Extremely sparse brush pattern" msgstr "Motif extrรชmement clairsemรฉ" msgid "Horizontal lines" msgstr "Lignes horizontales" msgid "Vertical lines" msgstr "Lignes verticales" msgid "Crossing horizontal and vertical lines" msgstr "Lignes horizontales et verticales" msgid "Backward diagonal lines" msgstr "Lignes diagonales descendantes" msgid "Forward diagonal lines" msgstr "Lignes diagonales montantes" msgid "Crossing diagonal lines" msgstr "Lignes diagonales croisรฉes" msgid "Horizontal" msgstr "Horizontal" msgid "Vertical" msgstr "Vertical" msgid "Family" msgstr "Famille" msgid "Choose font" msgstr "Choisir une police" msgid "Size in point" msgstr "Taille en point" msgid "Bold" msgstr "Gras" msgid "Italic" msgstr "Italique" msgid "Style" msgstr "Style" msgid "Size" msgstr "Taille" msgid "Border" msgstr "Bordure" msgid "Border width" msgstr "Largueur de bordure" msgid "Background color" msgstr "Couleur du fond" msgid "Background alpha" msgstr "Opacitรฉ du fond" msgid "Width" msgstr "Largeur" msgid "Alpha" msgstr "Alpha" msgid "Angle" msgstr "Angle" msgid "sx" msgstr "sx" msgid "sy" msgstr "sy" msgid "Font" msgstr "Police" msgid "Text color" msgstr "Couleur du texte" msgid "Major grid" msgstr "Quadrillage primaire" msgid "Line" msgstr "Trait" msgid "Minor grid" msgstr "Quadrillage secondaire" msgid "Symbol" msgstr "Symbole" msgid "Shadow" msgstr "Ombre" msgid "Curve style" msgstr "Style de courbe" msgid "Baseline" msgstr "Ligne de base" msgid "Use downsampling" msgstr "Utiliser le sous-รฉchantillonnage" msgid "Downsampling factor" msgstr "Facteur de sous-รฉchantillonnage" msgid "Display" msgstr "Affichage" msgid "error bars with caps (x, y)" msgstr "barres d'erreurs (x, y)" msgid "error area (y)" msgstr "zone d'erreur (y)" msgid "" "Note: only y-axis error bars are shown in error area mode\n" "(width and cap parameters will also be ignored)" msgstr "Note: seules les erreurs en y sont indiquรฉes dans le mode zone d'erreur" msgid "Error bar transparency" msgstr "Transparence de la barre d'erreur" msgid "Cap" msgstr "Bordure" msgid "set to foreground" msgstr "afficher en premier plan" msgid "Visibility" msgstr "Ordre" msgid "Bins" msgstr "Classes" msgid "Number of bins" msgstr "Nombre de classes" msgid "Min" msgstr "Min" msgid "Minimum value" msgstr "Valeur minimale" msgid "Maximum value" msgstr "Valeur maximale" msgid "Max" msgstr "Max" msgid "Y-axis scale" msgstr "ร‰chelle en y" msgid "X-axis bins" msgstr "Classes en x" msgid "Number of bins along x-axis" msgstr "Nombre de classes le long de l'axe des abscisses" msgid "Y-axis bins" msgstr "Classes en y" msgid "Number of bins along y-axis" msgstr "Nombre de classes le long de l'axes des ordonnรฉes" msgid "Z-axis scale" msgstr "ร‰chelle en z" msgid "Bin count" msgstr "Effectif total" msgid "Mininum value" msgstr "Valeur minimale" msgid "Sum" msgstr "Addition" msgid "Product" msgstr "Produit" msgid "Average" msgstr "Moyenne" msgid "" "Bin count : counts the number of points per bin,\n" "For max, min, sum, product, average, compute the function of a third parameter (one by default)" msgstr "" "Nombre de classes : compte le nombre de points par classe,\n" "Pour max, min, sum, product, average, calcule la fonction d'un troisiรจme paramรจtre (un par dรฉfaut)" msgid "Automatic LUT range" msgstr "Ajustement automatique de la LUT" msgid "Automatically adapt color scale when panning, zooming" msgstr "Ajuste automatiquement la palette de couleurs (dรฉplacement, zoom)" msgid "Background color when no data is present" msgstr "Couleur de fond en l'absence de donnรฉes" msgid "Image title" msgstr "Titre de l'image" msgid "Alpha function" msgstr "Fonction alpha" msgid "Global alpha" msgstr "Alpha global" msgid "Global alpha value" msgstr "Valeur globale du canal alpha" msgid "Colormap" msgstr "Palette de couleurs" msgid "Invert colormap" msgstr "Inverser la palette de couleurs" msgid "Lock LUT range when updating data" msgstr "Verrouiller la LUT lors de la mise ร  jour des donnรฉes" msgid "If enabled, the LUT range is not updated when the image data changes.
This allows to keep the same color scale for different successive images.

Note: It has no effect when a new image is added to the plot." msgstr "Si activรฉ, la LUT n'est pas mise ร  jour lorsque les donnรฉes de l'image changent.
Cela permet de conserver la mรชme รฉchelle de couleurs pour diffรฉrentes images successives.

Note : cela n'a aucun effet lorsqu'une nouvelle image est ajoutรฉe ร  la figure." msgid "Interpolation" msgstr "Interpolation" msgid "None (nearest pixel)" msgstr "Nรฉant (plus proche pixel)" msgid "Linear interpolation" msgstr "Interpolation linรฉaire" msgid "2x2 antialiasing filter" msgstr "Filtre anti-repliement 2x2" msgid "3x3 antialiasing filter" msgstr "Filtre anti-repliement 3x3" msgid "5x5 antialiasing filter" msgstr "Filtre anti-repliement 5x5" msgid "Image interpolation type" msgstr "Type d'interpolation" msgid "Statistics string formatting" msgstr "Formats d'affichage des statistiques" msgid "X-Axis" msgstr "Axe des X" msgid "Y-Axis" msgstr "Axe des Y" msgid "Z-Axis" msgstr "Axe des Z" msgid "Quadrangle interpolation" msgstr "Interpolation linรฉaire" msgid "Flat" msgstr "Plat" msgid "Image interpolation type, Flat mode use fixed u,v interpolation parameters" msgstr "Type d'interpolation d'image, le mode flat utilise des paramรจtres d'interpolation u, v fixes" msgid "Fixed U interpolation parameter" msgstr "Paramรจtre d'interpolation U fixe" msgid "For flat mode only" msgstr "Paramรจtre d'interpolation U fixe" msgid "Fixed V interpolation parameter" msgstr "Paramรจtre d'interpolation V fixe" msgid "Show grid" msgstr "Afficher la grille" msgid "Grid lines color" msgstr "Couleur de la grille" msgid "Lock position" msgstr "Verrouiller la position" msgid "Position" msgstr "Position" msgid "Locked images are not movable with the mouse" msgstr "Les images verrouillรฉes ne sont pas dรฉplaรงable ร  la souris" msgid "Image placement along X-axis" msgstr "Positionnement de l'image le long de l'axe des X" msgid "x|min" msgstr "x|min" msgid "x|max" msgstr "x|max" msgid "Image placement along Y-axis" msgstr "Positionnement de l'image le long de l'axe des Y" msgid "y|min" msgstr "y|min" msgid "y|max" msgstr "y|max" msgid "Mask" msgstr "Masque" msgid "Filling value" msgstr "Valeur de remplissage" msgid "Show image mask" msgstr "Afficher le masque" msgid "Masked area alpha" msgstr "Zone masquรฉe (alpha)" msgid "Unmasked area alpha" msgstr "Zone non masquรฉe (alpha)" msgid "Bounds" msgstr "Bornes" msgid "Use image colormap and level" msgstr "Utiliser la palette de couleurs de l'image" msgid "Color map" msgstr "Palette de couleurs" msgid "Crop" msgstr "Rognage" msgid "Cropping" msgstr "Rognage" msgid "Pixel size" msgstr "Taille des pixels" msgid "Width (dx)" msgstr "Largeur (dx)" msgid "Height (dy)" msgstr "Hauteur (dy)" msgid "Translate, rotate and flip" msgstr "Translation, rotation et symรฉtrie" msgid "xCENTER" msgstr "xCENTRE" msgid "Flip horizontally" msgstr "Symรฉtrie horizontale" msgid "yCENTER" msgstr "yCENTRE" msgid "Flip vertically" msgstr "Symรฉtrie verticale" msgid "ฮธ (ยฐ)" msgstr "ฮธ (ยฐ)" msgid "Contents" msgstr "Contenu" msgid "set width to 0 to disable" msgstr "entrer 0 pour dรฉsactiver" msgid "Text" msgstr "Texte" msgid "Text font" msgstr "Police du texte" msgid "Background transparency" msgstr "Opacitรฉ du fond" msgid "Position relative to anchor" msgstr "Position de l'รฉtiquette par rapport au point d'ancrage" msgid "Corner" msgstr "Coin" msgid "Top left" msgstr "En haut ร  gauche" msgid "Top right" msgstr "En haut ร  droite" msgid "Bottom left" msgstr "En bas ร  gauche" msgid "Bottom right" msgstr "En bas ร  droite" msgid "Center" msgstr "Centre" msgid "Label position relative to anchor point" msgstr "Position de l'รฉtiquette par rapport au point d'ancrage" msgid "ฮ”X" msgstr "ฮ”X" msgid "Horizontal offset (pixels) relative to anchor point" msgstr "Dรฉcalage horizontal (pixels) par rapport au point d'ancrage" msgid "ฮ”Y" msgstr "ฮ”Y" msgid "Vertical offset (pixels) relative to anchor point" msgstr "Dรฉcalage vertical (pixels) par rapport au point d'ancrage" msgid "Anchor" msgstr "Ancre" msgid "Anchor position" msgstr "Position du point d'ancrage" msgid "Attach to canvas" msgstr "Attacher au canevas" msgid "X" msgstr "X" msgid "X-axis position in canvas coordinates" msgstr "Abscisse en coordonnรฉes du canevas" msgid "Y" msgstr "Y" msgid "Y-axis position in canvas coordinates" msgstr "Ordonnรฉe en coordonnรฉes du canevas" msgid "Interact" msgstr "Interaction" msgid "moving object changes anchor position" msgstr "dรฉplacer l'objet modifie le point d'ancrage" msgid "moving object changes label position" msgstr "dรฉplacer l'objet modifie la position de l'รฉtiquette" msgid "Absolute position on canvas" msgstr "Position absolue sur le canevas" msgid "Line (not selected)" msgstr "Trait (hors sรฉlection)" msgid "Line (selected)" msgstr "Trait (sรฉlection)" msgid "Symbol (not selected)" msgstr "Symbole (hors sรฉlection)" msgid "Symbol (selected)" msgstr "Symbole (sรฉlection)" msgid "Text (not selected)" msgstr "Texte (hors sรฉlection)" msgid "Text (selected)" msgstr "Texte (sรฉlection)" msgid "Line style" msgstr "Style de trait" msgid "Spacing" msgstr "Espacement" msgid "Fill pattern" msgstr "Motif de remplissage" msgid "Fill pattern (not selected)" msgstr "Motif de remplissage (hors sรฉlection)" msgid "Fill pattern (selected)" msgstr "Motif de remplissage (sรฉlection)" msgid "Read-only shape" msgstr "Lecture seule" msgid "Read-only shapes can't be removed from the item list panel" msgstr "Les formes en lecture seule ne peuvent pas รชtre supprimer du panneau de liste des objets" msgid "Private shape" msgstr "Forme privรฉe" msgid "Private shapes are not shown in the item list panel" msgstr "Les formes privรฉes ne sont pas affichรฉes dans le panneau de liste des objets" msgid "Arrow angle" msgstr "Angle de la flรจche" msgid "Arrow size" msgstr "Taille de la flรจche" msgid "Line (X-Axis)" msgstr "Trait (axes des x)" msgid "Line (Y-Axis)" msgstr "Trait (axes des y)" msgid "Fill pattern (X-Axis)" msgstr "Motif de remplissage (axes des x)" msgid "Fill pattern (Y-Axis)" msgstr "Motif de remplissage (axes des y)" msgid "Show annotation" msgstr "Afficher l'annotation" msgid "Show informations on area covered by this shape" msgstr "Afficher les informations sur cette rรฉgion d'intรฉrรชt" msgid "Show subtitle" msgstr "Afficher le sous-titre" msgid "Subtitle" msgstr "Sous-titre" msgid "String formatting" msgstr "Format" msgid "Uncertainty" msgstr "Incertitude" msgid "Measurement relative uncertainty" msgstr "Incertitude relative de mesure" msgid "Transform matrix" msgstr "Matrice de transformation" msgid "Fill" msgstr "Remplissage" msgid "Fill color" msgstr "Couleur de remplissage" msgid "Shade" msgstr "Ombrage" msgid "Markers" msgstr "Marqueurs" msgid "MAX resolution" msgstr "Rรฉsolution MAX" msgid "Right-click on the curve to enable/disable downsampling" msgstr "Clic droit sur la courbe pour activer/dรฉsactiver le sous-รฉchantillonnage" msgid "Insert point" msgstr "Insรฉrer un point" msgid "Select one point then press OK to accept" msgstr "Sรฉlectionner un point puis cliquer sur OK pour valider" #, python-format msgid "Select up to %s points then press OK to accept (hold Ctrl to select multiple points)" msgstr "Sรฉlectionner jusqu'ร  %s points puis cliquer sur OK pour valider (maintenir Ctrl pour sรฉlectionner plusieurs points)" #, python-format msgid "surface = %s" msgstr "surface = %s" #, python-format msgid "sum = %s" msgstr "somme = %s" #, python-format msgid "density = %s" msgstr "densitรฉ = %s" msgid "density not computed : surface is null !" msgstr "densitรฉ non calculรฉe : la surface est nulle !" msgid "Image width (pixels)" msgstr "Largeur (pixels)" msgid "Height" msgstr "Hauteur" msgid "Image height (pixels)" msgstr "Hauteur (pixels)" msgid "Filter algorithm" msgstr "Algorithme de filtrage" msgid "gaussian filter" msgstr "filtre gaussien" msgid "uniform filter" msgstr "filtre uniforme" msgid "minimum filter" msgstr "filtre minimum" msgid "median filter" msgstr "filtre mรฉdian" msgid "maximum filter" msgstr "filtre maximum" msgid "Size or sigma" msgstr "Taille ou sigma" msgid "Example dialog box" msgstr "Boรฎte de dialogue d'exemple" msgid "z-axis scale label" msgstr "ร‰tiquette de l'รฉchelle des z" msgid "Filter parameters" msgstr "Paramรจtres du filtre" msgid "Image parameters" msgstr "Paramรจtres de l'image" msgid "Untitled" msgstr "SansTitre" msgid "Data" msgstr "Donnรฉes" msgid "Type" msgstr "Type" msgid "random" msgstr "alรฉatoire" msgid "zeros" msgstr "zรฉros" msgid "Properties" msgstr "Propriรฉtรฉs" msgid "Application example" msgstr "Exemple d'application" msgid "Welcome to plotpy application example!" msgstr "Bienvenue dans l'exemple d'application plotpy !" msgid "File" msgstr "Fichier" msgid "New..." msgstr "Nouveau..." msgid "Create a new image" msgstr "Crรฉer une nouvelle image" msgid "Open..." msgstr "Ouvrir..." msgid "Open an image" msgstr "Ouvrir une image" msgid "Quit" msgstr "Quitter" msgid "Quit application" msgstr "Quitter l'application" msgid "Edit" msgstr "ร‰dition" msgid "Delete" msgstr "Supprimer" msgid "Delete selected image" msgstr "Supprimer l'image sรฉlectionnรฉe" #, python-format msgid "About %s..." msgstr "A propos de %s..." msgid "Open" msgstr "Ouvrir" msgid "X-axis cross section" msgstr "Profil selon l'axe des abscisses" msgid "Y-axis cross section" msgstr "Profil selon l'axe des ordonnรฉes" msgid "Horizontal selection" msgstr "Sรฉlection horizontale" msgid "Vertical cursor" msgstr "Curseur vertical" msgid "Horizontal cursor" msgstr "Curseur horizontal" msgid "Cross cursor" msgstr "Curseur croix" msgid "Signal statistics" msgstr "Statistiques du signal" msgid "Y-range" msgstr "Intervalle en Y" msgid "Antialiasing (curves)" msgstr "Anticrรฉnelage (courbes)" msgid "Point selection" msgstr "Sรฉlection d'un point" msgid "Multi-point selection" msgstr "Sรฉlection multi-points" msgid "Insertion index" msgstr "Index d'insertion" msgid "New value" msgstr "Nouvelle valeur" msgid "Location" msgstr "Position" msgid "Before" msgstr "Avant" msgid "After" msgstr "Aprรจs" msgid "Edit point" msgstr "Modifier le point" msgid "Before inserting a new point, please select an existing curve point." msgstr "Avant d'insรฉrer un nouveau point, sรฉlectionner un point existant." msgid "Insert new value" msgstr "Insรฉrer une nouvelle valeur" msgid "Downsample" msgstr "Sous-รฉchantillonner" msgid "Export" msgstr "Exporter" msgid "Text file" msgstr "Fichier texte" msgid "Unable to export item data." msgstr "Impossible d'exporter les donnรฉes de l'objet sรฉlectionnรฉ." msgid "Error message:" msgstr "Message d'erreur :" msgid "No available data" msgstr "Pas de donnรฉes disponibles" msgid "Image statistics" msgstr "Statistiques de l'image" msgid "Reverse X axis" msgstr "Inverser l'axe X" msgid "Reverse Y axis" msgstr "Inverser l'axe Y" msgid "Base-10 logarithmic Z axis" msgstr "Axe Z en logarithme base 10" msgid "Lock aspect ratio" msgstr "Verrouiller le rapport hauteur/largeur" msgid "Current value" msgstr "Valeur actuelle" msgid "Lock value" msgstr "Valeur imposรฉe" msgid "Aspect ratio" msgstr "Rapport hauteur/largeur" msgid "Lock" msgstr "Verrouiller" msgid "1:1" msgstr "1:1" msgid "Edit..." msgstr "Modifier..." msgid "Contrast adjustment" msgstr "Rรฉglage du contraste" msgid "Select colormap for active image" msgstr "Sรฉlectionne la palette de couleurs de l'image active" #, python-format msgid "Colormap: %s" msgstr "Palette de couleurs : %s" msgid "Lock LUT range (update)" msgstr "Verrouiller la LUT (mise ร  jour)" msgid "Manage image masking areas" msgstr "Gestion des zones de masquage" msgid "Mask rectangular area (inside)" msgstr "Masquer l'intรฉrieur d'une zone rectangulaire" msgid "Mask rectangular area (outside)" msgstr "Masquer l'extรฉrieur d'une zone rectangulaire" msgid "Mask circular area (inside)" msgstr "Masquer l'intรฉrieur d'une zone circulaire" msgid "Mask circular area (outside)" msgstr "Masquer l'extรฉrieur d'une zone circulaire" msgid "Show masking shapes" msgstr "Afficher les masques" msgid "Apply mask" msgstr "Appliquer le masque" msgid "Clear mask" msgstr "Supprimer le masque" msgid "Remove all masking shapes" msgstr "Supprimer toutes les masques" msgid "Do you really want to remove all masking shapes?" msgstr "Souhaitez-vous vraiment supprimer toutes les masques ?" msgid "Do you really want to clear the mask?" msgstr "Souhaitez-vous vraiment effacer le masque ?" msgid "Unlock" msgstr "Dรฉverrouiller" msgid "Open image" msgstr "Ouvrir une image" msgid "Rotation Center" msgstr "Centre de rotation" msgid "Rotate and crop" msgstr "Rotation et rognage" msgid "Edit data..." msgstr "Modifier les donnรฉes..." msgid "Export data..." msgstr "Exporter les donnรฉes..." msgid "Center items" msgstr "Centrer des objets" msgid "Save items" msgstr "Enregistrer les objets plotpy" msgid "Save items as" msgstr "Enregistrer les objets plotpy sous" msgid "untitled" msgstr "sanstitre" msgid "plotpy items" msgstr "objets plotpy" msgid "Load items" msgstr "Charger les objets plotpy" msgid "Label text" msgstr "Texte de l'รฉtiquette" msgid "Save as..." msgstr "Enregistrer sous..." msgid "PNG image" msgstr "Image PNG" msgid "PDF document" msgstr "Document PDF" msgid "Save as" msgstr "Enregistrer sous" msgid "Copy to clipboard" msgstr "Copier dans le presse-papier" msgid "Rectangle snapshot" msgstr "Capture rectangulaire" msgid "There is no supported image item in current selection." msgstr "La sรฉlection ne contient aucun objet image pris en charge." msgid "Destination size:" msgstr "Taille de destination:" msgid "Image levels adjustments" msgstr "Modification des niveaux de l'image" msgid "Apply contrast settings" msgstr "Appliquer les rรฉglages de contraste" msgid "Apply interpolation algorithm" msgstr "Appliquer l'algorithme d'interpolation" msgid "Scale levels to maximum range" msgstr "Normaliser (utiliser la totalitรฉ de la dynamique)" msgid "Superimposed images" msgstr "Images superposรฉes" msgid "If image B is behind image A, replace intersection by" msgstr "Si l'image B est derriรจre l'image A, remplacer l'intersection par" #, python-brace-format msgid "There is not enough memory left to process this {destw:d} x {desth:d} image ({mbytes:d} MB would be required)." msgstr "La mรฉmoire disponible est insuffisante pour traiter cette image de {destw:d} x {desth:d} ({mbytes:d} Mo seraient nรฉcessaires)." msgid "Memory error" msgstr "Mรฉmoire insuffisante" msgid "Help" msgstr "Aide" msgid "" "Keyboard/mouse shortcuts:

\n" " - single left-click: item (curve, image, ...) selection
\n" " - single right-click: context-menu relative to selected item
\n" " - shift: on-active-curve (or image) cursor (+ control to maintain\n" "cursor visible)
\n" " - shift + control: on-active-curve cursor (+ control to maintain\n" "cursor visible)
\n" " - alt: free cursor
\n" " - left-click + mouse move: move item (when available)
\n" " - middle-click + mouse move: pan
\n" " - right-click + mouse move: zoom" msgstr "" "Raccourcis clavier et souris :

\n" " - clique gauche : sรฉlection d'un objet (courbe, image, ...)
\n" " - clique droit : menu contextuel relatif ร  l'objet sรฉlectionnรฉ
\n" " - shift : curseur sur la courbe (ou l'image) active (+ control pour maintenir le curseur visible)
\n" " - shift + control : curseur sur la courbe (ou l'image) active (+ control pour maintenir le curseur visible)
\n" " - alt : curseur libre
\n" " - clique gauche + dรฉplacement souris : dรฉplacement de l'objet actif (si possible)
\n" " - clique du milieu + dรฉplacement souris : translation dans le plan ('pan')
\n" " - clique droit + dรฉplacement souris : agrandissement ('zoom')" msgid "Information on PlotPy:" msgstr "Informations sur PlotPy :" msgid "About" msgstr "A propos" msgid "Print..." msgstr "Imprimer..." msgid "AutoScale" msgstr "ร‰chelle automatique" msgid "Free" msgstr "Libre" msgid "Bound to active item" msgstr "Liรฉ ร  l'objet actif" msgid "Rectangle zoom" msgstr "Zoom rectangulaire" msgid "Rectangular selection tool" msgstr "Outil de sรฉlection rectangulaire" msgid "Selection" msgstr "Sรฉlection" msgid "Polyline" msgstr "Ligne brisรฉe" #, fuzzy msgid "Polygon" msgstr "Polygone" msgid "Rectangle" msgstr "Rectangle" msgid "Oblique rectangle" msgstr "Rectangle oblique" msgid "Point" msgstr "Point" msgid "Segment" msgstr "Segment" msgid "Circle" msgstr "Cercle" msgid "Set of tools for curve and image plotting" msgstr "Outils pour la visualisation de courbes et d'images" msgid "Apply" msgstr "Appliquer" msgid "Reset" msgstr "Rรฉinitialiser" msgid "Relative position" msgstr "Relative position" msgid "Must be a value between 0.0 and 1.0." msgstr "Doit รชtre une valeur entre 0.0 et 1.0" msgid "Enter a colormap name:" msgstr "Entrer un nom de palette de couleurs :" msgid "New colormap name cannot contain special characters except underscores (_)." msgstr "Un nom de colormap ne peut pas contenir de caractรจres spรฉciauxexceptรฉ les tirets bas (_)." msgid "Colormap manager" msgstr "Gestionnaire de palettes de couleurs" msgid "Add" msgstr "Ajouter" msgid "Select or create a colormap" msgstr "Sรฉlectionner ou crรฉer une palette de couleurs" msgid "Colormap presets:" msgstr "Palettes de couleurs prรฉdรฉfinies :" msgid "Edit the selected colormap" msgstr "Modifier la palette de couleurs sรฉlectionnรฉe" #, python-format msgid "Name %s is already used by a predefined colormap, and cannot be used for a custom colormap.

Please choose another name." msgstr "Le nom %s est dรฉjร  utilisรฉ par une palette de couleurs prรฉdรฉfinie, et ne peut pas รชtre utilisรฉ pour une palette personnalisรฉe.

Veuillez choisir un autre nom." #, python-format msgid "Name %s is already used by a custom colormap.

Do you want to overwrite it?" msgstr "Le nom %s est dรฉjร  utilisรฉ par une palette de couleurs personnalisรฉe.

Voulez-vous l'รฉcraser ?" msgid "New" msgstr "Nouveau" #, python-format msgid "Colormap %s is the active colormap." msgstr "La palette de couleurs %s est la palette active." #, python-format msgid "Colormap %s is a predefined colormap." msgstr "La palette de couleurs %s est une palette prรฉdรฉfinie." msgid "Thus, this colormap cannot be removed." msgstr "Cette palette de couleurs ne peut donc pas รชtre supprimรฉe." #, python-format msgid "Do you want to delete colormap %s?" msgstr "Souhaitez-vous supprimer la palette de couleurs %s ?" msgid "Save colormap" msgstr "Enregistrer la palette de couleurs" msgid "Add colormap" msgstr "Ajouter une palette de couleurs" msgid "Right click to add/remove a color" msgstr "Clic droit pour ajouter/supprimer une couleur" msgid "Add new color" msgstr "Ajouter une couleur" msgid "Remove color" msgstr "Supprimer une couleur" msgid "Method" msgstr "Mรฉthode" msgid "Conjugate Gradient" msgstr "Gradient conjuguรฉ" msgid "Least squares" msgstr "Moindres carrรฉs" msgid "for simplex, powel, cg and bfgs norm used by the error function" msgstr "pour simplex, powel, cg et bfgs, norme utilisรฉe par la fonction d'erreur" msgid "for simplex, powel, least squares" msgstr "pour simplex, powel, moindres carrรฉs" msgid "for cg, bfgs" msgstr "pour cg, bfgs" msgid "for cg, bfgs. inf is max, -inf is min" msgstr "pour cg, bfgs. inf est max, -inf est min" msgid "Name" msgstr "Nom" msgid "Value" msgstr "Valeur" msgid "Format" msgstr "Format" msgid "Logarithmic" msgstr "Logarithmique" msgid "Fixed value during optimization" msgstr "Valeur fixe pendant l'optimisation" msgid "Curve fitting parameter" msgstr "Paramรจtre d'ajustement" #, python-brace-format msgid "Edit '{name}' fit parameter properties" msgstr "Modifier les propriรฉtรฉs du paramรจtre d'ajustement '{name}'" msgid "Fit parameters" msgstr "Paramรจtres d'ajustement" msgid "Run" msgstr "Ajuster" msgid "Settings" msgstr "Options" msgid "Automatic fit" msgstr "Ajustement automatique" msgid "Automatic fitting options" msgstr "Options d'ajustement automatique" msgid "Fit" msgstr "Ajustement" msgid "Curve fitting" msgstr "Ajustement de courbes" msgid "Flip & Rotate" msgstr "Retournement et rotation" #, python-format msgid "Angle %s:" msgstr "Angle %s :" msgid "Flip:" msgstr "Retournement :" #, python-brace-format msgid "" "{filename} could not be written:\n" "{msg}" msgstr "" "{filename} n'a pas pu รชtre รฉcrit:\n" "{msg}" msgid "Error" msgstr "Erreur" #, python-brace-format msgid "" "{filename} could not be opened:\n" "{msg}" msgstr "" "{filename} n'a pas pu รชtre ouvert:\n" "{msg}" msgid "Original size" msgstr "Taille d'origine" msgid "Width (pixels)" msgstr "Largeur (pixels)" msgid "Height (pixels)" msgstr "Hauteur (pixels)" msgid "Original size:" msgstr "Taille d'origine :" msgid "Zoom factor:" msgstr "Facteur de zoom :" msgid "Resize" msgstr "Ajuster" msgid "Cropping rectangle" msgstr "Rectangle de rognage" msgid "Rotate & Crop" msgstr "Rotation et rognage" msgid "Show cropping rectangle" msgstr "Afficher le rectangle de rognage" PlotPyStack-PlotPy-2af0906/plotpy/lutrange.py000066400000000000000000000054761525747167300212640ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ LUT range --------- The :mod:`plotpy.lutrange` module provides functions to compute and manipulate the LUT range of plot items. .. autofunction:: hist_range_threshold .. autofunction:: lut_range_threshold """ from __future__ import annotations from typing import TYPE_CHECKING import numpy as np if TYPE_CHECKING: from plotpy.items import BaseImageItem, Histogram2DItem from plotpy.items.histogram import HistDataSource def hist_range_threshold( hist: np.ndarray, bin_edges: np.ndarray, percent: float ) -> tuple[float, float]: """Return the range obtained by removing `percent` of the histogram mass. Outliers are eliminated symmetrically (`percent / 2` on each side), e.g. for contrast adjustment. Notes: - If the histogram comes from an image with integer values (e.g. 0-255), the first bin is assumed to correspond to value 0 and will be ignored. - For floating-point images, all bins are considered. Args: hist: The histogram (length N) bin_edges: The bin edges (length N+1) percent: Percent of histogram mass to eliminate (between 0 and 100) Returns: A tuple containing the minimum and maximum values of the range remaining after removing `percent` of the histogram mass. """ if not (0 <= percent <= 100): raise ValueError("percent must be in [0, 100]") hist_len = len(hist) i_offset = 0 # 1. Remove the first bin (typically corresponding to 0), only for integer images if np.issubdtype(bin_edges.dtype, np.integer): hist = hist[1:] i_offset = 1 # 3. Threshold: keep `percent`% of the mass โ†’ remove (1 - percent)% symmetrically threshold = 0.5 * percent / 100 * hist.sum() # 4. Find index where left cumulative sum exceeds threshold i_bin_min = max(np.cumsum(hist).searchsorted(threshold) - i_offset, 0) # 5. Find index where right cumulative sum exceeds threshold i_bin_max = hist_len - np.searchsorted(np.cumsum(np.flipud(hist)), threshold) # 6. Return bounds as [bin_edges[i_min], bin_edges[i_max + 1]] vmin, vmax = bin_edges[i_bin_min], bin_edges[i_bin_max] return vmin, vmax def lut_range_threshold( item: BaseImageItem | Histogram2DItem | HistDataSource, bins: int, percent: float ) -> tuple[float, float]: """Return the lut range corresponding to the given percent of the histogram Args: item (BaseImageItem | Histogram2DItem | HistDataSource): The plot item bins (int): The number of bins percent (float): The percent of the histogram Returns: tuple[float, float]: The lut range """ hist, bin_edges = item.get_histogram(bins) return hist_range_threshold(hist, bin_edges, percent) PlotPyStack-PlotPy-2af0906/plotpy/mathutils/000077500000000000000000000000001525747167300210675ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/mathutils/__init__.py000066400000000000000000000000301525747167300231710ustar00rootroot00000000000000# -*- coding: utf-8 -*- PlotPyStack-PlotPy-2af0906/plotpy/mathutils/arrayfuncs.py000066400000000000000000000041061525747167300236170ustar00rootroot00000000000000# -*- coding: utf-8 -*- """ Array functions --------------- Overview ^^^^^^^^ The :py:mod:`.arrayfuncs` module provides miscellaneous array functions. The following functions are available: * :py:func:`.get_nan_min` * :py:func:`.get_nan_max` * :py:func:`.get_nan_range` Reference ^^^^^^^^^ .. autofunction:: get_nan_min .. autofunction:: get_nan_max .. autofunction:: get_nan_range """ from __future__ import annotations import warnings import numpy as np def get_nan_min(data: np.ndarray | np.ma.MaskedArray) -> float: """Return minimum value of data, ignoring NaNs Args: data: Data array (or masked array) Returns: float: Minimum value of data, ignoring NaNs (NaN if data is empty or contains only NaNs) """ if isinstance(data, np.ma.MaskedArray): data = data.data if data.size == 0: return float("nan") if data.dtype.name in ("float32", "float64", "float128"): with warnings.catch_warnings(): warnings.simplefilter("ignore", category=RuntimeWarning) return np.nanmin(data) else: return data.min() def get_nan_max(data: np.ndarray | np.ma.MaskedArray) -> float: """Return maximum value of data, ignoring NaNs Args: data: Data array (or masked array) Returns: float: Maximum value of data, ignoring NaNs (NaN if data is empty or contains only NaNs) """ if isinstance(data, np.ma.MaskedArray): data = data.data if data.size == 0: return float("nan") if data.dtype.name in ("float32", "float64", "float128"): with warnings.catch_warnings(): warnings.simplefilter("ignore", category=RuntimeWarning) return np.nanmax(data) else: return data.max() def get_nan_range(data: np.ndarray | np.ma.MaskedArray) -> tuple[float, float]: """Return range of data, i.e. (min, max), ignoring NaNs Args: data: Data array (or masked array) Returns: tuple: Minimum and maximum value of data, ignoring NaNs """ return get_nan_min(data), get_nan_max(data) PlotPyStack-PlotPy-2af0906/plotpy/mathutils/colormap.py000066400000000000000000000234671525747167300232710ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Colormap functions ------------------ Overview ^^^^^^^^ The :py:mod:`plotpy.mathutils.colormap` module contains definition of common colormaps and tools to manipulate and create them. The following functions are available: * :py:func:`.get_cmap`: get a colormap from its name * :py:func:`.cmap_exists`: check if a colormap exists * :py:func:`.add_cmap`: add a colormap to the list of available colormaps * :py:func:`.build_icon_from_cmap`: build an icon representing the colormap * :py:func:`.build_icon_from_cmap_name`: build an icon representing the colormap from its name Reference ^^^^^^^^^ .. autofunction:: get_cmap .. autofunction:: cmap_exists .. autofunction:: add_cmap .. autofunction:: build_icon_from_cmap .. autofunction:: build_icon_from_cmap_name """ from __future__ import annotations import json import os from typing import Dict, Literal, Sequence import numpy as np import qtpy.QtCore as QC import qtpy.QtGui as QG from guidata.configtools import get_module_data_path from qwt import QwtInterval, toQImage from plotpy.config import CONF from plotpy.widgets.colormap.widget import EditableColormap FULLRANGE = QwtInterval(0.0, 1.0) SMALL_ICON_WIDTH, SMALL_ICON_HEIGHT, SMALL_ICON_ORIENTATION = 16, 7, "h" LARGE_ICON_WIDTH, LARGE_ICON_HEIGHT, LARGE_ICON_ORIENTATION = 80, 16, "h" CmapDictType = Dict[str, EditableColormap] def load_raw_colormaps_from_json( json_path: str, ) -> dict[str, Sequence[tuple[float, str]]]: """Tries to load raw colormaps from a json file. A raw colormap is a list of tuple sequence of tuples that contains a position value and a hex color string. Args: json_path: absolute path to the json to open. If file is not found, returns an empty dictionary Returns: Dictionnary of colormaps names -> raw colormap sequences """ if isinstance(json_path, str) and os.path.isfile(json_path): with open(json_path, encoding="utf-8") as f: try: return json.load(f) except json.JSONDecodeError as e: print(e) return {} return {} def load_qwt_colormaps_from_json(json_path: str) -> CmapDictType: """Same as function load_raw_colormaps_from_json but transforms the raw colormaps into CustomQwtLinearColormap objects that are used by plotpy. Args: json_path: absolute path to the json to open. If file is not found, returns an empty dictionary Returns: Dictionnary of colormpas names -> CustomQwtLinearColormap """ return { name.lower(): EditableColormap.from_iterable(iterable, name=name) for name, iterable in load_raw_colormaps_from_json(json_path).items() } def get_cmap_path(config_path: str): """Takes a file path (i.e. from the CONF global variable) and tries to find it in this order: 1. in Plotpy's data directory 2. in user's plotpy configuration directory 3. anywhere else using the path as an absolute path If the file is not found, the absolute filepath returned will point to user's plotpy configuration folder. Args: config_path: file path/name to check in the order listed above. """ try: data_config_path = os.path.join( get_module_data_path("plotpy", "data"), config_path ) if os.path.isfile(data_config_path): return data_config_path except (FileNotFoundError, PermissionError, OSError) as e: print(e) user_config_path = CONF.get_path(config_path) if os.path.isfile(user_config_path): return user_config_path if os.path.isfile(config_path): return config_path return user_config_path # Load default colormaps path from the config file DEFAULT_COLORMAPS_PATH = get_cmap_path( CONF.get( "colormaps", "colormaps/default", default="colormaps_default.json", # type: ignore ) ) # Load custom colormaps path from the config file CUSTOM_COLORMAPS_PATH = get_cmap_path( CONF.get( "colormaps", "colormaps/custom", default="colormaps_custom.json", # type: ignore ) ) # Load default and custom colormaps from json files DEFAULT_COLORMAPS: CmapDictType = load_qwt_colormaps_from_json(DEFAULT_COLORMAPS_PATH) CUSTOM_COLORMAPS: CmapDictType = load_qwt_colormaps_from_json(CUSTOM_COLORMAPS_PATH) # Merge default and custom colormaps into a single dictionnary to simplify access ALL_COLORMAPS: CmapDictType = {**DEFAULT_COLORMAPS, **CUSTOM_COLORMAPS} # Default colormap to use if a colormap is not found DEFAULT = ALL_COLORMAPS["jet"] def save_colormaps(json_filename: str, colormaps: CmapDictType): """Saves colormaps into the given json file. Refer ton function get_cmap_path to know what json_filename can be used. Args: json_filename: json file name/path in which to save the colormaps colormaps: Dictionnary of colormpas names -> CustomQwtLinearColormap """ raw_colormaps = {cmap.name: cmap.to_tuples() for cmap in colormaps.values()} json_abs_path = CONF.get_path(json_filename) with open(json_abs_path, "w", encoding="utf-8") as f: json.dump(raw_colormaps, f, indent=4) def build_icon_from_cmap( cmap: EditableColormap, width: int = SMALL_ICON_WIDTH, height: int = SMALL_ICON_HEIGHT, orientation: Literal["h", "v"] = SMALL_ICON_ORIENTATION, margin: int = 0, ) -> QG.QIcon: """Builds an icon representing the colormap Args: cmap: colormap width: icon width height: icon height orientation: orientation of the colormap in the icon. Can be "h" for horizontal or "v" for vertical margin: margin around the colormap in the icon. Beware that the margin is included in the given icon size. For example, if margin is 1 and width is 16, the actual colormap width will be 14 (16 - 2 * 1). This was done to prevent interpolation on display. """ padded_width = width - 2 * margin padded_height = height - 2 * margin data = np.zeros((padded_height, padded_width), np.uint8) if orientation == "h": line = np.linspace(0, 255, padded_width) data[:, :] = line[:] else: line = np.linspace(0, 255, padded_height) data[:, :] = line[:, np.newaxis] img = toQImage(data) img.setColorTable(cmap.colorTable(FULLRANGE)) cm_pxmap = QG.QPixmap.fromImage(img) if margin == 0: return QG.QIcon(cm_pxmap) padded_pixmap = QG.QPixmap(width, height) padded_pixmap.fill(QC.Qt.GlobalColor.transparent) # Create a painter to draw onto the new pixmap painter = QG.QPainter(padded_pixmap) painter.drawPixmap(margin, margin, cm_pxmap) painter.end() icon = QG.QIcon(padded_pixmap) return icon def build_icon_from_cmap_name( cmap_name: str, width: int = SMALL_ICON_WIDTH, height: int = SMALL_ICON_HEIGHT, orientation: Literal["h", "v"] = SMALL_ICON_ORIENTATION, margin: int = 0, ) -> QG.QIcon: """Builds an QIcon representing the colormap from the colormap name found in ALL_COLORMAPS global variable. Args: cmap_name: colormap name to search in ALL_COLORMAPS width: icon width height: icon height orientation: orientation of the colormap in the icon. Can be "h" for horizontal or "v" for vertical margin: margin around the colormap in the icon. Beware that the margin is included in the given icon size. For example, if margin is 1 and width is 16, the actual colormap width will be 14 (16 - 2 * 1). This was done to prevent interpolation on display. Returns: QIcon representing the colormap """ return build_icon_from_cmap( get_cmap(cmap_name.lower()), width, height, orientation, margin ) def get_cmap(cmap_name: str) -> EditableColormap: """Returns the colormap with the given name from the ALL_COLORMAPS global variable. If the colormap is not found, returns the DEFAULT colormap. Args: cmap_name: colormap name to search in ALL_COLORMAPS. All keys in ALL_COLORMAPS are lower case, so the given name is also lowered. Returns: A CustomQwtLinearColormap instance corresponding to the given name, if no colormap is found, returns the DEFAULT colormap. """ global ALL_COLORMAPS return ALL_COLORMAPS.get(cmap_name.lower(), DEFAULT) def cmap_exists(cmap_name: str, cmap_dict: CmapDictType | None = None) -> bool: """Returns True if the colormap with the given name exists in the given colormap dictionary, False otherwise. If no dictionary is given, the ALL_COLORMAPS global variable is used. Args: cmap_name: colormap name to search in given colormap dictionnary. All keys in the dictionary are lower case, so the given name is also lowered. cmap_dict: colormap dictionnary to search in. If None, ALL_COLORMAPS is used. Returns: True if the colormap exists, False otherwise. """ if cmap_dict is None: cmap_dict = ALL_COLORMAPS return cmap_name.lower() in cmap_dict def add_cmap(cmap: EditableColormap) -> None: """Adds the given colormap to both ALL_COLORMAPS and CUSTOM_COLORMAPS global variables. Args: cmap: colormap to add """ global ALL_COLORMAPS, CUSTOM_COLORMAPS ALL_COLORMAPS[cmap.name.lower()] = cmap CUSTOM_COLORMAPS[cmap.name.lower()] = cmap save_colormaps(CUSTOM_COLORMAPS_PATH, CUSTOM_COLORMAPS) def delete_cmap(cmap: EditableColormap) -> None: """Deletes the given colormap from both ALL_COLORMAPS and CUSTOM_COLORMAPS global""" global ALL_COLORMAPS, CUSTOM_COLORMAPS if CUSTOM_COLORMAPS.pop(cmap.name.lower(), None) is not None: del ALL_COLORMAPS[cmap.name.lower()] save_colormaps(CUSTOM_COLORMAPS_PATH, CUSTOM_COLORMAPS) PlotPyStack-PlotPy-2af0906/plotpy/mathutils/geometry.py000066400000000000000000000151501525747167300232760ustar00rootroot00000000000000# -*- coding: utf-8 -*- """ Basic geometry functions ------------------------ Overview ^^^^^^^^ The :py:mod:`.geometry` module provides basic geometry functions for computing 2D transformations and distances. The following functions are available: * :py:func:`.translate` * :py:func:`.scale` * :py:func:`.rotate` * :py:func:`.colvector` * :py:func:`.vector_norm` * :py:func:`.vector_projection` * :py:func:`.vector_angle` * :py:func:`.compute_center` * :py:func:`.compute_rect_size` * :py:func:`.compute_distance` * :py:func:`.compute_angle` Reference ^^^^^^^^^ .. autofunction:: translate .. autofunction:: scale .. autofunction:: rotate .. autofunction:: colvector .. autofunction:: vector_norm .. autofunction:: vector_projection .. autofunction:: vector_angle .. autofunction:: compute_center .. autofunction:: compute_rect_size .. autofunction:: compute_distance .. autofunction:: compute_angle """ # pylint: disable=C0103 from __future__ import annotations import numpy as np # =============================================================================== # Transform matrix functions # =============================================================================== def translate(tx: float, ty: float) -> np.ndarray: """Return translation matrix Args: tx: Translation along X-axis ty: Translation along Y-axis Returns: Translation matrix """ return np.array([[1, 0, tx], [0, 1, ty], [0, 0, 1]], float) def scale(sx: float, sy: float) -> np.ndarray: """Return scale matrix Args: sx: Scale along X-axis sy: Scale along Y-axis Returns: Scale matrix """ return np.array([[sx, 0, 0], [0, sy, 0], [0, 0, 1]], float) def rotate(alpha: float) -> np.ndarray: """Return rotation matrix Args: alpha: Rotation angle (in radians) Returns: Rotation matrix """ return np.array( [ [np.cos(alpha), -np.sin(alpha), 0], [np.sin(alpha), np.cos(alpha), 0], [0, 0, 1], ], float, ) def colvector(x: float, y: float) -> np.ndarray: """Return vector from coordinates Args: x: x-coordinate y: y-coordinate Returns: Vector """ return np.array([x, y, 1]).T # =============================================================================== # Operations on vectors (from coordinates) # =============================================================================== def vector_norm(xa: float, ya: float, xb: float, yb: float) -> float: """Return vector norm Args: xa: x-coordinate of first point ya: y-coordinate of first point xb: x-coordinate of second point yb: y-coordinate of second point Returns: Norm of vector (xa, xb)-->(ya, yb) """ return np.linalg.norm(np.array((xb - xa, yb - ya))) def vector_projection( dv: np.ndarray, xa: float, ya: float, xb: float, yb: float ) -> np.ndarray: """Return vector projection Args: dv: vector to project xa: x-coordinate of first point ya: y-coordinate of first point xb: x-coordinate of second point yb: y-coordinate of second point Returns: Projection of *dv* on vector (xa, xb)-->(ya, yb) """ assert dv.shape == (2,) v_ab = np.array((xb - xa, yb - ya)) norm = np.linalg.norm(v_ab) if norm == 0: # Points A and B are identical: projection direction is undefined. # Return point B (= point A) rather than raising on 0/0 division. return np.array((xb, yb)) u_ab = v_ab / norm return np.vdot(u_ab, dv) * u_ab + np.array((xb, yb)) def vector_rotation(theta: float, dx: float, dy: float) -> tuple[float, float]: """Compute theta-rotation on vector Args: theta: Rotation angle dx: x-coordinate of vector dy: y-coordinate of vector Returns: Tuple of (x, y) coordinates of rotated vector """ return (rotate(theta) @ colvector(dx, dy)).ravel()[:2] def vector_angle(dx: float, dy: float) -> float: """Return vector angle with X-axis Args: dx: x-coordinate of vector dy: y-coordinate of vector Returns: Angle between vector and X-axis (in radians) """ # sign(dy) == 1 --> return Arccos() # sign(dy) == 0 --> return 0 if sign(dx) == 1 # sign(dy) == 0 --> return pi if sign(dx) == -1 # sign(dy) == -1 --> return 2pi-Arccos() if dx == 0 and dy == 0: return 0.0 else: sx, sy = np.sign(dx), np.sign(dy) acos = np.arccos(dx / np.sqrt(dx**2 + dy**2)) return sy * (np.pi * (sy - 1) + acos) + np.pi * (1 - sy**2) * (1 - sx) * 0.5 # =============================================================================== # Misc. # =============================================================================== def compute_center(x1: float, y1: float, x2: float, y2: float) -> tuple[float, float]: """Compute center of rectangle Args: x1: x-coordinate of top-left corner y1: y-coordinate of top-left corner x2: x-coordinate of bottom-right corner y2: y-coordinate of bottom-right corner Returns: Tuple of (x, y) coordinates of center """ return 0.5 * (x1 + x2), 0.5 * (y1 + y2) def compute_rect_size( x1: float, y1: float, x2: float, y2: float ) -> tuple[float, float]: """Compute rectangle size Args: x1: x-coordinate of top-left corner y1: y-coordinate of top-left corner x2: x-coordinate of bottom-right corner y2: y-coordinate of bottom-right corner Returns: Tuple of (width, height) """ return x2 - x1, np.fabs(y2 - y1) def compute_distance(x1: float, y1: float, x2: float, y2: float) -> float: """Compute distance between two points Args: x1: x-coordinate of first point y1: y-coordinate of first point x2: x-coordinate of second point y2: y-coordinate of second point Returns: Distance between points """ return np.sqrt((x2 - x1) ** 2 + (y2 - y1) ** 2) def compute_angle( x1: float, y1: float, x2: float, y2: float, reverse: bool = False ) -> float: """Compute angle between two points Args: x1: x-coordinate of first point y1: y-coordinate of first point x2: x-coordinate of second point y2: y-coordinate of second point reverse: If True, return the angle in the opposite direction Returns: Angle between points (in degrees) """ sign = -1 if reverse else 1 if x2 == x1: return 0.0 else: return np.arctan(-sign * (y2 - y1) / (x2 - x1)) * 180.0 / np.pi PlotPyStack-PlotPy-2af0906/plotpy/mathutils/scaler.py000066400000000000000000000034471525747167300227220ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Scaling functions ----------------- Overview ^^^^^^^^ The :py:mod:`.scaler` module provides scaling functions for images, thanks to the C++ scaler engine (`_scaler` extension). The following functions are available: * :py:func:`.resize`: resize an image using the scaler engine Reference ^^^^^^^^^ .. autofunction:: resize """ # TODO: Move all _scaler imports in this module and do something to avoid # the need to import INTERP_LINEAR, INTERP_AA, ... in all modules using the # scaler (code refactoring between pyplot.imshow, # styles.BaseImageParam.update_item) # TODO: Other functions like resize could be written in the future import numpy as np from plotpy._scaler import INTERP_AA, INTERP_LINEAR, INTERP_NEAREST, _scale_rect def resize(data, shape, interpolation=None): """Resize array *data* to *shape* (tuple) interpolation: 'nearest', 'linear' (default), 'antialiasing'""" interpolate = (INTERP_NEAREST,) if interpolation is not None: interp_dict = { "nearest": INTERP_NEAREST, "linear": INTERP_LINEAR, "antialiasing": INTERP_AA, } assert interpolation in interp_dict, "invalid interpolation option" interp_mode = interp_dict[interpolation] if interp_mode in (INTERP_NEAREST, INTERP_LINEAR): interpolate = (interp_mode,) if interp_mode == INTERP_AA: aa = np.ones((5, 5), data.dtype) interpolate = (interp_mode, aa) out = np.empty(shape) src_rect = (0, 0, data.shape[1], data.shape[0]) dst_rect = (0, 0, out.shape[1], out.shape[0]) _scale_rect(data, src_rect, out, dst_rect, (1.0, 0.0, None), interpolate) return out PlotPyStack-PlotPy-2af0906/plotpy/panels/000077500000000000000000000000001525747167300203375ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/panels/__init__.py000066400000000000000000000004541525747167300224530ustar00rootroot00000000000000# -*- coding: utf-8 -*- # pylint: disable=unused-import # flake8: noqa from .base import PanelWidget from .contrastadjustment import ContrastAdjustment from .csection import ( ObliqueCrossSection, XCrossSection, YCrossSection, LineCrossSection, ) from .itemlist import PlotItemList PlotPyStack-PlotPy-2af0906/plotpy/panels/base.py000066400000000000000000000043351525747167300216300ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Base features ^^^^^^^^^^^^^ The panels base module provides :py:class:`.PanelWidget` (the `panel` widget class from which all panels must derived from) and identifiers for each kind of panel. .. autodata:: plotpy.constants.ID_ITEMLIST .. autodata:: plotpy.constants.ID_CONTRAST .. autodata:: plotpy.constants.ID_XCS .. autodata:: plotpy.constants.ID_YCS .. autodata:: plotpy.constants.ID_OCS .. autodata:: plotpy.constants.ID_LCS .. autoclass:: PanelWidget :members: """ from guidata.configtools import get_icon from guidata.widgets.dockable import DockableWidget from qtpy import QtCore as QC # =============================================================================== # Base Panel Widget class # =============================================================================== class PanelWidget(DockableWidget): """Panel Widget base class""" PANEL_ID = None # string PANEL_TITLE = None # string PANEL_ICON = None # string #: Signal emitted by PanelWidget when its visibility has changed #: #: Args: #: enable (bool): True if the panel is visible SIG_VISIBILITY_CHANGED = QC.Signal(bool) def __init__(self, parent=None): super().__init__(parent) assert self.PANEL_ID is not None if self.PANEL_TITLE is not None: self.setWindowTitle(self.PANEL_TITLE) if self.PANEL_ICON is not None: self.setWindowIcon(get_icon(self.PANEL_ICON)) def showEvent(self, event): """ :param event: """ DockableWidget.showEvent(self, event) if self.dockwidget is None: self.SIG_VISIBILITY_CHANGED.emit(True) def hideEvent(self, event): """ :param event: """ DockableWidget.hideEvent(self, event) if self.dockwidget is None: self.SIG_VISIBILITY_CHANGED.emit(False) def visibility_changed(self, enable): """DockWidget visibility has changed""" DockableWidget.visibility_changed(self, enable) # For compatibility with the plotpy.panels.PanelWidget interface: self.SIG_VISIBILITY_CHANGED.emit(self._isvisible) PlotPyStack-PlotPy-2af0906/plotpy/panels/contrastadjustment.py000066400000000000000000000516561525747167300246620ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Contrast adjustment ^^^^^^^^^^^^^^^^^^^ The `contrast adjustment` panel is a widget which displays the image levels histogram and allows to manipulate it in order to adjust the image contrast. .. autoclass:: ContrastAdjustment """ from __future__ import annotations from typing import TYPE_CHECKING import numpy as np from guidata.configtools import get_icon, get_image_layout from guidata.dataset import DataSet, FloatItem from guidata.qthelpers import add_actions, create_action, is_dark_theme from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtWidgets as QW from plotpy.config import CONF, _ from plotpy.constants import ID_CONTRAST, Y_LEFT, Y_RIGHT, PlotType from plotpy.interfaces import IPanel, IVoiImageItemType from plotpy.items import HistogramItem, XRangeSelection from plotpy.lutrange import lut_range_threshold from plotpy.panels.base import PanelWidget from plotpy.plot.base import BasePlot, BasePlotOptions from plotpy.styles import CurveParam, HistogramParam from plotpy.tools import AntiAliasingTool, BasePlotMenuTool, SelectPointTool, SelectTool if TYPE_CHECKING: from collections.abc import Callable, Generator from qtpy.QtGui import QCloseEvent from qtpy.QtWidgets import QWidget from plotpy.items import BaseImageItem from plotpy.plot.manager import PlotManager class LevelsHistogram(BasePlot): """Image levels histogram widget Args: parent: parent widget """ DEFAULT_NBINS = 256 # Default number of bins for histogram #: Signal emitted by LevelsHistogram when LUT range of some items was changed. #: For now, this signal is private. The public counterpart is emitted by #: the base plot class (see :py:attr:`.BasePlot.SIG_LUT_CHANGED`). SIG_VOI_CHANGED = QC.Signal() def __init__(self, parent: QWidget | None = None) -> None: super().__init__( parent=parent, options=BasePlotOptions(title="", section="histogram", type="curve"), ) self.antialiased = False # a dict of dict : plot -> selected items -> HistogramItem self._tracked_items: dict[BasePlot, dict[BaseImageItem, HistogramItem]] = {} self.param = CurveParam(_("Curve"), icon="curve.png") self.param.read_config(CONF, "histogram", "curve") self.range = XRangeSelection(0, 1) self.range_mono_color = self.range.shapeparam.sel_line.color self.range_multi_color = CONF.get("histogram", "range/multi/color", "red") self.add_item(self.range, z=5) self.SIG_RANGE_CHANGED.connect(self.range_changed) self.set_active_item(self.range) self.setMinimumHeight(80) self.setAxisMaxMajor(Y_LEFT, 5) self.setAxisMaxMinor(Y_LEFT, 0) if parent is None: self.set_axis_title("bottom", "Levels") def connect_plot(self, plot: BasePlot) -> None: """Connect plot to histogram widget Args: plot: plot to connect to """ if plot.options.type == PlotType.CURVE: # Connecting only to image plot widgets (allow mixing image and # curve widgets for the same plot manager -- e.g. in pyplot) return self.SIG_VOI_CHANGED.connect(plot.notify_colormap_changed) plot.SIG_ITEM_SELECTION_CHANGED.connect(self.selection_changed) plot.SIG_ITEM_REMOVED.connect(self.item_removed) plot.SIG_ACTIVE_ITEM_CHANGED.connect(self.active_item_changed) plot.SIG_AXIS_PARAMETERS_CHANGED.connect( lambda axis_id: self.axis_parameters_changed(plot=plot, axis_id=axis_id) ) def tracked_items_gen( self, ) -> Generator[tuple[BaseImageItem, HistogramItem], None, None]: """Generator of tracked items""" for _plot, items in list(self._tracked_items.items()): for item_curve_tuple in list(items.items()): yield item_curve_tuple # tuple item,curve def __del_known_items(self, known_items: dict, items: list) -> None: """Delete known items Args: known_items: dict of known items items: list of items to delete """ del_curves = [] for item in list(known_items.keys()): if item not in items: curve = known_items.pop(item) del_curves.append(curve) self.del_items(del_curves) def selection_changed(self, plot: BasePlot) -> None: """Selection changed callback Args: plot: plot whose selection changed """ items: list[BaseImageItem] = plot.get_selected_items( item_type=IVoiImageItemType ) known_items = self._tracked_items.setdefault(plot, {}) if items: self.__del_known_items(known_items, items) if len(items) == 1: # Removing any cached item for other plots for other_plot, _items in list(self._tracked_items.items()): if other_plot is not plot: if not other_plot.get_selected_items( item_type=IVoiImageItemType ): other_known_items = self._tracked_items[other_plot] self.__del_known_items(other_known_items, []) else: # if all items are deselected we keep the last known # selection (for one plot only) for other_plot, _items in list(self._tracked_items.items()): if other_plot.get_selected_items(item_type=IVoiImageItemType): self.__del_known_items(known_items, []) break for item in items: if item not in known_items: histparam = HistogramParam(_("Histogram"), icon="histogram.png") histparam.logscale = False histparam.n_bins = self.DEFAULT_NBINS curve = HistogramItem(self.param, histparam, keep_weakref=True) curve.set_hist_source(item) self.add_item(curve, z=0) known_items[item] = curve nb_selected = len(list(self.tracked_items_gen())) if not nb_selected: self.replot() return self.param.shade = 1.0 / nb_selected for item, curve in self.tracked_items_gen(): if np.issubdtype(item.data.dtype, np.integer): # For integer data, we use the full range of data type info = np.iinfo(item.data.dtype) curve.histparam.bin_min = info.min curve.histparam.bin_max = info.max curve.histparam.n_bins = min( info.max - info.min + 1, self.DEFAULT_NBINS ) else: curve.histparam.bin_min = None curve.histparam.bin_max = None curve.histparam.n_bins = self.DEFAULT_NBINS self.param.update_item(curve) curve.histparam.update_hist(curve) self.active_item_changed(plot) # Rescaling histogram plot axes for better visibility ymax = None for item in known_items: curve = known_items[item] _x, y = curve.get_data() ymax0 = y.mean() + 3 * y.std() if ymax is None or ymax0 > ymax: ymax = ymax0 ymin, _ymax = self.get_axis_limits("left") if ymax is not None: self.set_axis_limits("left", ymin, ymax) self.replot() def item_removed(self, item: BaseImageItem) -> None: """Item removed callback Args: item: item which was removed """ replot = False for _plot, items_dict in list(self._tracked_items.items()): if item in items_dict: try: self.del_item(items_dict[item]) replot = True except ValueError: pass # Histogram has not yet been created items_dict.pop(item) break if replot: self.replot() def active_item_changed(self, plot: BasePlot) -> None: """Active item changed callback Args: plot: plot whose active item changed """ items = plot.get_selected_items(item_type=IVoiImageItemType) if not items: return active = plot.get_last_active_item(IVoiImageItemType) if active: active_range = active.get_lut_range() else: active_range = None multiple_ranges = False for item, curve in self.tracked_items_gen(): if active_range != item.get_lut_range(): multiple_ranges = True if active_range is not None: _m, _M = active_range self.set_range_style(multiple_ranges) self.range.set_range(_m, _M, dosignal=False) self.replot() def axis_parameters_changed(self, plot: BasePlot, axis_id: int) -> None: """Plot axis parameters changed callback Args: axis_id: axis ID """ if axis_id == Y_RIGHT: # Colormap bounds changed, we need to update the range accordingly: self.active_item_changed(plot) def set_range_style(self, multiple_ranges: bool) -> None: """Set range style Args: multiple_ranges: whether multiple ranges are selected """ if multiple_ranges: self.range.shapeparam.sel_line.color = self.range_multi_color else: self.range.shapeparam.sel_line.color = self.range_mono_color self.range.shapeparam.update_item(self.range) def set_range(self, zmin: float, zmax: float) -> bool: """Set range Args: zmin: minimum value zmax: maximum value Returns: True if range was changed, False otherwise """ if zmin < zmax: self.set_range_style(False) self.range.set_range(zmin, zmax) self.replot() return True else: # Range was not changed return False def range_changed( self, _rangesel: XRangeSelection, zmin: float, zmax: float ) -> None: """Range changed callback Args: _rangesel: range selection zmin: minimum value zmax: maximum value """ for item, _curve in self.tracked_items_gen(): item.set_lut_range([zmin, zmax]) self.SIG_VOI_CHANGED.emit() @staticmethod def apply_full_range_func( item: BaseImageItem, _curve: HistogramItem ) -> tuple[float, float]: """Apply full range function Args: item: item to apply full range to _curve: histogram curve associated with item Returns: tuple of minimum and maximum values """ return item.get_lut_range_full() @staticmethod def apply_min_func( item: BaseImageItem, _curve: HistogramItem, zmin: float ) -> tuple[float, float]: """Apply minimum function Args: item: item to apply minimum to _curve: histogram curve associated with item zmin: minimum value Returns: tuple of minimum and maximum values """ _zmin, zmax = item.get_lut_range() return zmin, zmax @staticmethod def apply_max_func( item: BaseImageItem, _curve: HistogramItem, zmax: float ) -> tuple[float, float]: """Apply maximum function Args: item: item to apply maximum to _curve: histogram curve associated with item zmax: maximum value Returns: tuple of minimum and maximum values """ zmin, _zmax = item.get_lut_range() return zmin, zmax @staticmethod def reduce_range_func( item: BaseImageItem, curve: HistogramItem, percent: float ) -> tuple[float, float]: """Reduce range function Args: item: item to reduce range of curve: histogram curve associated with item percent: percentage of range to reduce Returns: tuple of minimum and maximum values """ return lut_range_threshold(item, curve.bins, percent) def apply_range_function(self, func: Callable, *args, **kwargs) -> None: """Apply range function Args: func: function to apply *args: arguments to pass to function **kwargs: keyword arguments to pass to function """ item = None zmin, zmax = np.inf, -np.inf for item, curve in self.tracked_items_gen(): zmin_i, zmax_i = func(item, curve, *args, **kwargs) zmin = min(zmin, zmin_i) zmax = max(zmax, zmax_i) if zmin != np.inf and zmax != -np.inf: self.set_range(zmin, zmax) def set_full_range(self) -> None: """Set range bounds to image min/max levels""" self.apply_range_function(self.apply_full_range_func) def eliminate_outliers(self, percent: float) -> None: """Eliminate outliers Args: percent: percentage of outliers to eliminate (eliminate percent/2 on each side) """ self.apply_range_function(self.reduce_range_func, percent) def set_min(self, zmin: float) -> None: """Set minimum value Args: zmin: minimum value """ self.apply_range_function(self.apply_min_func, zmin) def set_max(self, zmax: float) -> None: """Set maximum value Args: zmax: maximum value """ self.apply_range_function(self.apply_max_func, zmax) class EliminateOutliersParam(DataSet): percent = FloatItem( _("Eliminate outliers") + " (%)", default=2.0, min=0.0, max=100.0 - 1e-6 ) class ContrastAdjustment(PanelWidget): """Contrast adjustment tool Args: parent: parent widget """ __implements__ = (IPanel,) PANEL_ID = ID_CONTRAST PANEL_TITLE = _("Contrast") PANEL_ICON = "contrast.png" def __init__(self, parent: QWidget | None = None) -> None: super().__init__(parent) self.local_manager = None # local manager for the histogram plot self.manager = None # manager for the associated image plot # Storing min/max markers for each active image self.min_markers = {} self.max_markers = {} # Select point tools self.min_select_tool = None self.max_select_tool = None color = "#bbbbbb" if is_dark_theme() else "#444444" style = "{}" % color layout, _label = get_image_layout( self.PANEL_ICON, style.format(self.PANEL_TITLE), alignment=QC.Qt.AlignLeft ) layout.setAlignment(QC.Qt.AlignCenter) vlayout = QW.QVBoxLayout() vlayout.addLayout(layout) # Avoid circular import # pylint-disable=import-outside-toplevel from plotpy.plot.manager import PlotManager self.local_manager = PlotManager(self) self.histogram = LevelsHistogram(parent) vlayout.addWidget(self.histogram) self.local_manager.add_plot(self.histogram) hlayout = QW.QHBoxLayout() self.setLayout(hlayout) hlayout.addLayout(vlayout) self.toolbar = toolbar = QW.QToolBar(self) toolbar.setIconSize(QC.QSize(12, 12)) toolbar.setOrientation(QC.Qt.Horizontal) toolbar.setToolButtonStyle(QC.Qt.ToolButtonTextBesideIcon) layout.addWidget(toolbar) # Add standard plot-related tools to the local manager lman = self.local_manager lman.add_tool(SelectTool) lman.add_tool(BasePlotMenuTool, "item") lman.add_tool(BasePlotMenuTool, "axes") lman.add_tool(BasePlotMenuTool, "grid") lman.add_tool(AntiAliasingTool) lman.get_default_tool().activate() self.outliers_param = EliminateOutliersParam(self.PANEL_TITLE) def register_panel(self, manager: PlotManager) -> None: """Register panel to plot manager Args: manager: plot manager to register to """ self.manager = manager default_toolbar = self.manager.get_default_toolbar() self.manager.add_toolbar(self.toolbar, "contrast") self.manager.set_default_toolbar(default_toolbar) self.setup_actions() for plot in manager.get_plots(): self.histogram.connect_plot(plot) def configure_panel(self) -> None: """Configure panel""" self.min_select_tool = self.manager.add_tool( SelectPointTool, title=_("Min."), on_active_item=True, mode="create", tip=_("Select minimum level on image"), toolbar_id="contrast", end_callback=self.apply_min_selection, switch_to_default_tool=True, ) self.max_select_tool = self.manager.add_tool( SelectPointTool, title=_("Max."), on_active_item=True, mode="create", tip=_("Select maximum level on image"), toolbar_id="contrast", end_callback=self.apply_max_selection, switch_to_default_tool=True, ) def get_plot(self) -> BasePlot: """Get active plot Returns: active plot """ return self.manager.get_active_plot() def closeEvent(self, event: QCloseEvent) -> None: """Reimplement Qt method""" self.hide() event.ignore() def setup_actions(self) -> None: """Setup actions""" fullrange_ac = create_action( self, _("Full range"), icon=get_icon("full_range.png"), triggered=self.histogram.set_full_range, tip=_("Scale the image's display range according to data range"), ) outliers_ac = create_action( self, _("Eliminate %"), icon=get_icon("eliminate_outliers.png"), triggered=self.eliminate_outliers, tip=_( "Eliminate outliers from the image's display range, " "based on a percentage of the data range" ), ) setrange_ac = create_action( self, _("Set range"), icon=get_icon("xrange.png"), triggered=self.set_range_manually, tip=_("Set the image's display range manually"), ) add_actions(self.toolbar, [fullrange_ac, outliers_ac, setrange_ac]) def eliminate_outliers(self) -> None: """Eliminate outliers""" def apply_callback(param: EliminateOutliersParam) -> None: """Apply callback""" self.histogram.eliminate_outliers(param.percent) zmin_0, zmax_0 = self.histogram.range.get_range() if self.outliers_param.edit(self, apply=apply_callback): apply_callback(self.outliers_param) else: self.histogram.set_range(zmin_0, zmax_0) def set_range_manually(self) -> None: """Set range manually""" class RangeParam(DataSet): """Range parameters""" zmin = FloatItem(_("Min. level")) zmax = FloatItem(_("Max. level")) def apply_callback(param: RangeParam) -> None: """Apply callback""" self.histogram.set_range(param.zmin, param.zmax) param = RangeParam(_("Set range")) zmin_0, zmax_0 = param.zmin, param.zmax = self.histogram.range.get_range() if param.edit(self, apply=apply_callback): apply_callback(param) else: self.histogram.set_range(zmin_0, zmax_0) def apply_min_selection(self, tool: SelectPointTool) -> None: """Apply minimum selection Args: tool: select point tool """ item: BaseImageItem = self.get_plot().get_last_active_item(IVoiImageItemType) point = self.min_select_tool.get_coordinates() z = item.get_data(*point) self.histogram.set_min(z) tool.SIG_TOOL_JOB_FINISHED.emit() def apply_max_selection(self, tool: SelectPointTool) -> None: """Apply maximum selection Args: tool: select point tool """ item: BaseImageItem = self.get_plot().get_last_active_item(IVoiImageItemType) point = self.max_select_tool.get_coordinates() z = item.get_data(*point) self.histogram.set_max(z) tool.SIG_TOOL_JOB_FINISHED.emit() def set_range(self, zmin: float, zmax: float) -> None: """Set contrast panel's histogram range Args: zmin: minimum value zmax: maximum value """ self.histogram.set_range(zmin, zmax) # Update the levels histogram in case active item data has changed: self.histogram.selection_changed(self.get_plot()) assert_interfaces_valid(ContrastAdjustment) PlotPyStack-PlotPy-2af0906/plotpy/panels/csection/000077500000000000000000000000001525747167300221465ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/panels/csection/__init__.py000066400000000000000000000010241525747167300242540ustar00rootroot00000000000000# -*- coding: utf-8 -*- """ Cross-sections ^^^^^^^^^^^^^^ The cross-section panels are used to display cross-sections of 2D data, either along the X or Y axis, or along an oblique rectangle (average of the data along an oblique rectangle). .. autoclass:: XCrossSection .. autoclass:: YCrossSection .. autoclass:: ObliqueCrossSection .. autoclass:: LineCrossSection """ # pylint: disable=unused-import # flake8: noqa from .cswidget import ( ObliqueCrossSection, XCrossSection, YCrossSection, LineCrossSection, ) PlotPyStack-PlotPy-2af0906/plotpy/panels/csection/csitem.py000066400000000000000000000402671525747167300240150ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import sys import weakref from typing import TYPE_CHECKING import numpy as np from qtpy import QtCore as QC from plotpy.config import _ from plotpy.constants import X_BOTTOM, Y_LEFT from plotpy.coords import axes_to_canvas, canvas_to_axes from plotpy.interfaces import IBasePlotItem from plotpy.items.curve.errorbar import ErrorBarCurveItem from plotpy.items.image.misc import get_image_from_qrect from plotpy.mathutils.geometry import rotate, translate, vector_angle, vector_norm if TYPE_CHECKING: from plotpy.items import AnnotatedObliqueRectangle, AnnotatedSegment try: from plotpy._scaler import INTERP_LINEAR, _scale_tr except ImportError: print( ("Module 'plotpy.items.image.base': missing C extension"), file=sys.stderr, ) print( ("try running :python setup.py build_ext --inplace -c mingw32"), file=sys.stderr, ) raise TEMP_ITEM = None def get_rectangular_area(obj): """ Return rectangular area covered by object Return None if object does not support this feature (like markers, points, ...) """ if hasattr(obj, "get_rect"): return obj.get_rect() def get_object_coordinates(obj): """Return Marker or PointShape/AnnotatedPoint object coordinates""" if hasattr(obj, "get_pos"): return obj.get_pos() else: return obj.xValue(), obj.yValue() def get_plot_x_section(obj, apply_lut=False): """ Return plot cross section along x-axis, at the y value defined by 'obj', a Marker/AnnotatedPoint object """ _x0, y0 = get_object_coordinates(obj) plot = obj.plot() xmap = plot.canvasMap(plot.X_BOTTOM) xc0, xc1 = xmap.p1(), xmap.p2() _xc0, yc0 = axes_to_canvas(obj, 0, y0) if plot.get_axis_direction("left"): yc1 = yc0 + 1 else: yc1 = yc0 - 3 try: # TODO: Eventually add an option to apply interpolation algorithm data = get_image_from_qrect( plot, QC.QPointF(xc0, yc0), QC.QPointF(xc1, yc1), apply_lut=apply_lut, add_images=True, apply_interpolation=False, ) except (ValueError, ZeroDivisionError, TypeError): return np.array([]), np.array([]) if data.size == 0: return np.array([]), np.array([]) y = data.mean(axis=0) x0, _y0 = canvas_to_axes(obj, QC.QPointF(xc0, yc0)) x1, _y1 = canvas_to_axes(obj, QC.QPointF(xc1, yc1)) x = np.linspace(x0, x1, len(y)) return x, y def get_plot_y_section(obj, apply_lut=False): """ Return plot cross section along y-axis, at the x value defined by 'obj', a Marker/AnnotatedPoint object """ x0, _y0 = get_object_coordinates(obj) plot = obj.plot() ymap = plot.canvasMap(Y_LEFT) yc0, yc1 = ymap.p1(), ymap.p2() if plot.get_axis_direction("left"): yc1, yc0 = yc0, yc1 xc0, _yc0 = axes_to_canvas(obj, x0, 0) xc1 = xc0 + 1 try: data = get_image_from_qrect( plot, QC.QPointF(xc0, yc0), QC.QPointF(xc1, yc1), apply_lut=apply_lut, add_images=True, apply_interpolation=False, ) except (ValueError, ZeroDivisionError, TypeError): return np.array([]), np.array([]) if data.size == 0: return np.array([]), np.array([]) y = data.mean(axis=1) _x0, y0 = canvas_to_axes(obj, QC.QPointF(xc0, yc0)) _x1, y1 = canvas_to_axes(obj, QC.QPointF(xc1, yc1)) x = np.linspace(y0, y1, len(y)) return x, y def get_plot_average_x_section(obj, apply_lut=False): """ Return cross section along x-axis, averaged on ROI defined by 'obj' 'obj' is an AbstractShape object supporting the 'get_rect' method (RectangleShape, AnnotatedRectangle, etc.) """ x0, y0, x1, y1 = obj.get_rect() xc0, yc0 = axes_to_canvas(obj, x0, y0) xc1, yc1 = axes_to_canvas(obj, x1, y1) invert = False if xc0 > xc1: invert = True xc1, xc0 = xc0, xc1 ydir = obj.plot().get_axis_direction("left") if (ydir and yc0 > yc1) or (not ydir and yc0 < yc1): yc1, yc0 = yc0, yc1 try: data = get_image_from_qrect( obj.plot(), QC.QPointF(xc0, yc0), QC.QPointF(xc1, yc1), apply_lut=apply_lut, apply_interpolation=False, ) except (ValueError, ZeroDivisionError, TypeError): return np.array([]), np.array([]) if data.size == 0: return np.array([]), np.array([]) y = data.mean(axis=0) if invert: y = y[::-1] x = np.linspace(x0, x1, len(y)) return x, y def get_plot_average_y_section(obj, apply_lut=False): """ Return cross section along y-axis, averaged on ROI defined by 'obj' 'obj' is an AbstractShape object supporting the 'get_rect' method (RectangleShape, AnnotatedRectangle, etc.) """ x0, y0, x1, y1 = obj.get_rect() xc0, yc0 = axes_to_canvas(obj, x0, y0) xc1, yc1 = axes_to_canvas(obj, x1, y1) invert = False ydir = obj.plot().get_axis_direction("left") if (ydir and yc0 > yc1) or (not ydir and yc0 < yc1): invert = True yc1, yc0 = yc0, yc1 if xc0 > xc1: xc1, xc0 = xc0, xc1 try: data = get_image_from_qrect( obj.plot(), QC.QPointF(xc0, yc0), QC.QPointF(xc1, yc1), apply_lut=apply_lut, apply_interpolation=False, ) except (ValueError, ZeroDivisionError, TypeError): return np.array([]), np.array([]) if data.size == 0: return np.array([]), np.array([]) y = data.mean(axis=1) x = np.linspace(y0, y1, len(y)) if invert: x = x[::-1] return x, y def compute_oblique_section(item, obj, debug=False): """Return oblique averaged cross section""" global TEMP_ITEM if obj.plot() is None: # Item has not yet been added to the plot return np.array([]), np.array([]) xa, ya, xb, yb = obj.get_bounding_rect_coords() x0, y0, x1, y1, x2, y2, x3, y3 = obj.get_rect() getcpi = item.get_closest_pixel_indexes ixa, iya = getcpi(xa, ya) ixb, iyb = getcpi(xb, yb) ix0, iy0 = getcpi(x0, y0) ix1, iy1 = getcpi(x1, y1) ix3, iy3 = getcpi(x3, y3) destw = int(vector_norm(ix0, iy0, ix1, iy1)) desth = int(vector_norm(ix0, iy0, ix3, iy3)) ysign = -1 if obj.plot().get_axis_direction("left") else 1 angle = vector_angle(ix1 - ix0, (iy1 - iy0) * ysign) dst_rect = (0, 0, int(destw), int(desth)) dst_image = np.empty((int(desth), int(destw)), dtype=np.float64) if isinstance(item.data, np.ma.MaskedArray): if item.data.dtype in (np.float32, np.float64): item_data = item.data else: item_data = np.ma.array(item.data, dtype=np.float32, copy=True) data = np.ma.filled(item_data, np.nan) else: data = item.data ixr = 0.5 * (ixb + ixa) iyr = 0.5 * (iyb + iya) mat = translate(ixr, iyr) @ rotate(-angle) @ translate(-0.5 * destw, -0.5 * desth) _scale_tr(data, mat, dst_image, dst_rect, (1.0, 0.0, np.nan), (INTERP_LINEAR,)) if debug: plot = obj.plot() if TEMP_ITEM is None: from plotpy.builder import make TEMP_ITEM = make.image(dst_image) plot.add_item(TEMP_ITEM) else: TEMP_ITEM.set_data(dst_image) if False: from plotpy.constants import LUTAlpha TEMP_ITEM.param.alpha_function = LUTAlpha.LINEAR.value xmin, ymin = ixa, iya xmax, ymax = xmin + destw, ymin + desth TEMP_ITEM.param.xmin = xmin TEMP_ITEM.param.xmax = xmax TEMP_ITEM.param.ymin = ymin TEMP_ITEM.param.ymax = ymax TEMP_ITEM.param.update_item(TEMP_ITEM) plot.replot() fixed_image = np.ma.fix_invalid(dst_image, copy=debug) if fixed_image.size == 0: return np.array([]), np.array([]) ydata = fixed_image.mean(axis=1) xdata = item.get_x_values(0, ydata.size)[: ydata.size] try: xdata -= xdata[0] except IndexError: print(xdata, ydata) return xdata, ydata class CrossSectionItem(ErrorBarCurveItem): """A Qwt item representing cross section data""" __implements__ = (IBasePlotItem,) ORIENTATION = None def __init__(self, curveparam=None, errorbarparam=None): ErrorBarCurveItem.__init__(self, curveparam, errorbarparam) self.setOrientation(self.ORIENTATION) self.perimage_mode = True self.autoscale_mode = False self.apply_lut = False self.source = None def set_source_image(self, src): """ Set source image (source: object with methods 'get_xsection' and 'get_ysection', e.g. objects derived from plotpy.items.image.BaseImageItem) """ self.source = weakref.ref(src) def get_source_image(self): """ :return: """ if self.source is not None: return self.source() def get_cross_section(self, obj): """Get cross section data from source image""" raise NotImplementedError def clear_data(self): """ """ self.set_data(np.array([]), np.array([]), None, None) self.plot().SIG_CS_CURVE_CHANGED.emit(self) def setStyle(self, style): """ Update the curve style and update the curve data to shift axes according to the style. """ super().setStyle(style) plot = self.plot() if plot is not None: obj = plot.get_last_obj() if obj is not None: self.update_curve_data(obj) def update_curve_data(self, obj): """Update curve data from cross section Args: obj: The object defining the cross section (marker, shape, etc.) """ sectx, secty = self.get_cross_section(obj) if secty.size == 0 or np.all(np.isnan(secty)): sectx, secty = np.array([]), np.array([]) if self.orientation() == QC.Qt.Orientation.Vertical: self.process_curve_data(secty, sectx) else: self.process_curve_data(sectx, secty) def process_curve_data(self, x, y, dx=None, dy=None): """ Override this method to process data before updating the displayed curve """ self.set_data(x, y, dx, dy) def update_item(self, obj): """ :param obj: :return: """ plot = self.plot() if not plot: return source = self.get_source_image() if source is None or not plot.isVisible(): return self.update_curve_data(obj) self.plot().SIG_CS_CURVE_CHANGED.emit(self) if not self.autoscale_mode: self.update_scale() def update_scale(self): """ """ plot = self.plot() if self.orientation() == QC.Qt.Orientation.Vertical: axis_id = Y_LEFT else: axis_id = X_BOTTOM source = self.get_source_image() sdiv = source.plot().axisScaleDiv(axis_id) plot.setAxisScale(axis_id, sdiv.lowerBound(), sdiv.upperBound()) plot.replot() class XCrossSectionItem(CrossSectionItem): """A Qwt item representing x-axis cross section data""" ORIENTATION = QC.Qt.Orientation.Horizontal def get_cross_section(self, obj): """Get x-cross section data from source image""" source = self.get_source_image() rect = get_rectangular_area(obj) fmt = source.param.yformat if rect is None: # Object is a marker or an annotated point _x0, y0 = get_object_coordinates(obj) self.param.label = _("Cross section") + " @ y=" + (fmt % y0) if self.perimage_mode: data = source.get_xsection(y0, apply_lut=self.apply_lut) else: data = get_plot_x_section(obj, apply_lut=self.apply_lut) else: if self.perimage_mode: x0, y0, x1, y1 = rect data = source.get_average_xsection( x0, y0, x1, y1, apply_lut=self.apply_lut ) else: data = get_plot_average_x_section(obj, apply_lut=self.apply_lut) x0, y0, x1, y1 = obj.get_rect() text = _("Average cross section") self.param.label = f"{text} @ y=[{fmt % y0} ; {fmt % y1}]" return data class YCrossSectionItem(CrossSectionItem): """A Qwt item representing y-axis cross section data""" ORIENTATION = QC.Qt.Orientation.Vertical def get_cross_section(self, obj): """Get y-cross section data from source image""" source = self.get_source_image() rect = get_rectangular_area(obj) fmt = source.param.xformat if rect is None: # Object is a marker or an annotated point x0, _y0 = get_object_coordinates(obj) self.param.label = _("Cross section") + " @ x=" + (fmt % x0) if self.perimage_mode: data = source.get_ysection(x0, apply_lut=self.apply_lut) else: data = get_plot_y_section(obj, apply_lut=self.apply_lut) else: if self.perimage_mode: x0, y0, x1, y1 = rect data = source.get_average_ysection( x0, y0, x1, y1, apply_lut=self.apply_lut ) else: data = get_plot_average_y_section(obj, apply_lut=self.apply_lut) x0, y0, x1, y1 = obj.get_rect() text = _("Average cross section") self.param.label = f"{text} @ x=[{fmt % x0} ; {fmt % x1}]" return data # Oblique cross section item class ObliqueCrossSectionItem(CrossSectionItem): """A Qwt item representing radially-averaged cross section data""" DEBUG = False def update_curve_data(self, obj: AnnotatedObliqueRectangle) -> None: """Update curve data""" source = self.get_source_image() rect = obj.get_bounding_rect_coords() if rect is not None and source.data is not None: # x0, y0, x1, y1 = rect # angle = obj.get_tr_angle() sectx, secty = compute_oblique_section(source, obj, debug=self.DEBUG) if secty.size == 0 or np.all(np.isnan(secty)): sectx, secty = np.array([]), np.array([]) self.process_curve_data(sectx, secty, None, None) def update_scale(self): """ """ pass def compute_line_section( data: np.ndarray, row0, col0, row1, col1 ) -> tuple[np.ndarray, np.ndarray]: """Return intensity profile of data along a line Args: data: 2D array row0, col0: start point row1, col1: end point """ # Keep coordinates inside the image row0 = max(0, min(row0, data.shape[0] - 1)) col0 = max(0, min(col0, data.shape[1] - 1)) row1 = max(0, min(row1, data.shape[0] - 1)) col1 = max(0, min(col1, data.shape[1] - 1)) # Keep coordinates in the right order row0, row1 = min(row0, row1), max(row0, row1) col0, col1 = min(col0, col1), max(col0, col1) # Extract the line line = np.zeros((2, max(abs(row1 - row0), abs(col1 - col0)) + 1), dtype=int) line[0, :] = np.linspace(row0, row1, line.shape[1]).astype(int) line[1, :] = np.linspace(col0, col1, line.shape[1]).astype(int) # Interpolate the line y = np.ma.array(data[line[0], line[1]], float).filled(np.nan) x = np.arange(y.size) return x, y # Line cross section item class LineCrossSectionItem(CrossSectionItem): """A Qwt item representing line cross section data""" def update_curve_data(self, obj: AnnotatedSegment) -> None: """Update curve data""" source = self.get_source_image() rect = obj.get_rect() if rect is not None and source.data is not None: x0, y0, x1, y1 = obj.get_rect() c0, r0 = source.get_closest_pixel_indexes(x0, y0) c1, r1 = source.get_closest_pixel_indexes(x1, y1) sectx, secty = compute_line_section(source.data, r0, c0, r1, c1) if secty.size == 0 or np.all(np.isnan(secty)): sectx, secty = np.array([]), np.array([]) self.process_curve_data(sectx, secty, None, None) def update_scale(self): """ """ pass PlotPyStack-PlotPy-2af0906/plotpy/panels/csection/csplot.py000066400000000000000000000401001525747167300240170ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import weakref from typing import TYPE_CHECKING, Any from qtpy import QtCore as QC from qtpy import QtWidgets as QW from plotpy.config import CONF, _ from plotpy.constants import AXIS_IDS, LUT_MAX, X_BOTTOM, Y_LEFT, PlotType from plotpy.interfaces import ICSImageItemType from plotpy.panels.csection.csitem import ( LineCrossSectionItem, ObliqueCrossSectionItem, XCrossSectionItem, YCrossSectionItem, ) from plotpy.plot.base import BasePlot from plotpy.styles.curve import CurveParam LUT_AXIS_TITLE = _("LUT scale") + (" (0-%d)" % LUT_MAX) if TYPE_CHECKING: from qtpy.QtWidgets import QWidget from plotpy.items import BaseImageItem from plotpy.panels.csection.csitem import CrossSectionItem class BaseCrossSectionPlot(BasePlot): """Cross section plot base class Args: parent: Parent widget. Defaults to None. """ CURVE_LABEL = _("Cross section") LABEL_TEXT = "" # to be overridden in subclasses _HEIGHT = None _WIDTH = None CS_AXIS = None Z_AXIS = None Z_MAX_MAJOR = 5 SHADE = 0.2 def __init__(self, parent: QWidget | None = None) -> None: super().__init__( parent=parent, options=dict(title="", section="cross_section", type="curve"), ) self.perimage_mode = True self.autoscale_mode = True self.autorefresh_mode = True self.apply_lut = False self.single_source = False self.lockscales = True self.last_obj = None self.known_items = {} self._shapes = {} self.param = CurveParam(_("Curve"), icon="curve.png") self.set_curve_style("cross_section", "curve") if self._HEIGHT is not None: self.setSizePolicy(QW.QSizePolicy.Expanding, QW.QSizePolicy.Minimum) elif self._WIDTH is not None: self.setSizePolicy(QW.QSizePolicy.Minimum, QW.QSizePolicy.Expanding) # The following import is here to avoid circular imports # pylint: disable=import-outside-toplevel from plotpy.builder import make self.label = make.label(self.LABEL_TEXT, "C", (0, 0), "C") self.label.set_readonly(True) self.add_item(self.label) self.setAxisMaxMajor(self.Z_AXIS, self.Z_MAX_MAJOR) self.setAxisMaxMinor(self.Z_AXIS, 0) def set_curve_style(self, section: str, option: str) -> None: """Set curve style Args: section: Configuration section name option: Configuration option name """ self.param.read_config(CONF, section, option) self.param.label = self.CURVE_LABEL def connect_plot(self, plot: BasePlot) -> None: """Connect plot to cross section plot Args: plot: Plot to connect (containing the image items to be used for) """ if plot.options.type == PlotType.CURVE: # Connecting only to image plot widgets (allow mixing image and # curve widgets for the same plot manager -- e.g. in pyplot) return plot.SIG_ITEMS_CHANGED.connect(self.items_changed) plot.SIG_LUT_CHANGED.connect(self.lut_changed) plot.SIG_MASK_CHANGED.connect(lambda item: self.update_plot()) plot.SIG_ACTIVE_ITEM_CHANGED.connect(self.active_item_changed) plot.SIG_ANNOTATION_CHANGED.connect(self.shape_changed) plot.SIG_PLOT_LABELS_CHANGED.connect(self.plot_labels_changed) plot.SIG_AXIS_DIRECTION_CHANGED.connect(self.axis_dir_changed) plot.SIG_PLOT_AXIS_CHANGED.connect(self.plot_axis_changed) self.plot_labels_changed(plot) for axis_id in AXIS_IDS: self.axis_dir_changed(plot, axis_id) self.items_changed(plot) def register_shape(self, plot: BasePlot, shape: Any, refresh: bool = True) -> None: """Register shape associated to cross section plot Args: plot: Plot containing the shape and the associated image items shape: Shape to register, and to be used for cross section refresh: Whether to refresh the plot """ known_shapes = self._shapes.get(plot, []) if shape in known_shapes: return self._shapes[plot] = known_shapes + [shape] self.update_plot(shape, refresh=refresh and self.autorefresh_mode) def unregister_shape(self, shape: Any) -> None: """Unregister shape associated to cross section plot Args: shape: Shape to unregister """ for plot in self._shapes: shapes = self._shapes[plot] if shape in shapes: shapes.pop(shapes.index(shape)) if len(shapes) == 0 or shape is self.get_last_obj(): for curve in self.get_cross_section_curves(): curve.clear_data() self.replot() break def create_cross_section_item(self) -> CrossSectionItem: """Create cross section item""" raise NotImplementedError def add_cross_section_item(self, source: BaseImageItem) -> None: """Add cross section item Args: source: Source image item to add cross section item for """ curve = self.create_cross_section_item() curve.set_source_image(source) curve.set_readonly(True) self.add_item(curve, z=0) self.known_items[source] = curve def get_cross_section_curves(self) -> list[CrossSectionItem]: """Return cross section curves""" return list(self.known_items.values()) def items_changed(self, plot: BasePlot) -> None: """Items have changed in the plot Args: plot: Plot containing the image items to be used for cross section """ # Del obsolete cross section items new_sources = plot.get_items(item_type=ICSImageItemType) for source in self.known_items.copy(): if source not in new_sources: curve = self.known_items.pop(source) curve.clear_data() # useful to emit SIG_CS_CURVE_CHANGED # (eventually notify other panels that the # cross section curve is now empty) self.del_item(curve) # Update plot only to show/hide cross section curves according to # the associated image item visibility state (hence `refresh=False`) self.update_plot(refresh=False) self.plot_axis_changed(plot) if not new_sources: self.replot() return self.param.shade = self.SHADE / len(new_sources) for source in new_sources: if source not in self.known_items and source.isVisible(): if not self.single_source or not self.known_items: self.add_cross_section_item(source=source) def active_item_changed(self, plot: BasePlot) -> None: """Active item has just changed Args: plot: Plot containing the image items to be used for cross section """ self.shape_changed(plot.get_active_item()) def plot_labels_changed(self, plot: BasePlot) -> None: """Plot labels have changed Args: plot: Plot containing the image items to be used for cross section """ raise NotImplementedError def axis_dir_changed(self, plot: BasePlot, axis_id: str) -> None: """An axis direction has changed Args: plot: Plot containing the image items to be used for cross section axis_id: Axis ID """ pass def plot_axis_changed(self, plot: BasePlot) -> None: """Plot was just zoomed/panned Args: plot: Plot containing the image items to be used for cross section """ if self.autoscale_mode: self.do_autoscale(replot=True) elif self.lockscales: self.do_autoscale(replot=False, axis_id=self.Z_AXIS) vmin, vmax = plot.get_axis_limits(self.CS_AXIS) self.set_axis_limits(self.CS_AXIS, vmin, vmax) self.replot() def is_shape_known(self, shape: Any) -> bool: """Return whether shape is known Args: shape: Shape to check Returns: bool: Whether shape is known """ for shapes in list(self._shapes.values()): if shape in shapes: return True else: return False def shape_changed(self, shape: Any) -> None: """Shape has changed Args: shape: Shape that has changed """ if self.autorefresh_mode: if self.is_shape_known(shape): self.update_plot(shape) def get_last_obj(self) -> BaseImageItem | None: """Return last active object""" if self.last_obj is not None: return self.last_obj() def update_plot(self, obj: Any = None, refresh: bool = True) -> None: """ Update cross section curves Args: obj: Object to update cross section curves for (may be a marker or a rectangular shape, or None to update) refresh: Whether to refresh the plot """ if obj is None: obj = self.get_last_obj() if obj is None: return else: self.last_obj = weakref.ref(obj) plot = obj.plot() if plot is None: self.unregister_shape(obj) return if self.label.isVisible(): self.label.hide() items = list(self.known_items.items()) for item, curve in iter(items): if not item.isVisible(): curve.hide() else: curve.show() curve.perimage_mode = self.perimage_mode curve.autoscale_mode = self.autoscale_mode curve.apply_lut = self.apply_lut if refresh: curve.update_item(obj) # Delegate all scaling logic to plot_axis_changed for consistency self.plot_axis_changed(plot) def toggle_perimage_mode(self, state: bool) -> None: """Toggle the per item mode Args: state: State to toggle to """ self.perimage_mode = state self.update_plot() def toggle_autoscale(self, state: bool) -> None: """Toggle the autoscale mode Args: state: State to toggle to """ self.autoscale_mode = state self.update_plot() def toggle_autorefresh(self, state: bool) -> None: """Toggle the autorefresh mode Args: state: State to toggle to """ self.autorefresh_mode = state if state: self.update_plot() def toggle_apply_lut(self, state: bool) -> None: """Toggle the apply LUT mode Args: state: State to toggle to """ self.apply_lut = state self.update_plot() if self.apply_lut: self.set_axis_title(self.Z_AXIS, LUT_AXIS_TITLE) self.set_axis_color(self.Z_AXIS, "red") else: obj = self.get_last_obj() if obj is not None and obj.plot() is not None: self.plot_labels_changed(obj.plot()) def toggle_lockscales(self, state: bool) -> None: """Toggle the lock scales mode Args: state: State to toggle to """ self.lockscales = state obj = self.get_last_obj() if obj is not None and obj.plot() is not None: self.plot_axis_changed(obj.plot()) def lut_changed(self, plot: BasePlot) -> None: """LUT has changed Args: plot: Plot containing the image items to be used for cross section """ if self.apply_lut: self.update_plot() class HorizontalCrossSectionPlot(BaseCrossSectionPlot): LABEL_TEXT = _("Enable a marker") CS_AXIS = X_BOTTOM Z_AXIS = Y_LEFT def plot_labels_changed(self, plot: BasePlot) -> None: """Plot labels have changed Args: plot: Plot containing the image items to be used for cross section """ self.set_axis_title("left", plot.get_axis_title("right")) self.set_axis_title("bottom", plot.get_axis_title("bottom")) self.set_axis_color("left", plot.get_axis_color("right")) self.set_axis_color("bottom", plot.get_axis_color("bottom")) def axis_dir_changed(self, plot: BasePlot, axis_id: str) -> None: """An axis direction has changed Args: plot: Plot containing the image items to be used for cross section axis_id: Axis ID """ if axis_id == plot.X_BOTTOM: self.set_axis_direction("bottom", plot.get_axis_direction("bottom")) self.replot() class VerticalCrossSectionPlot(BaseCrossSectionPlot): LABEL_TEXT = _("Enable a marker") CS_AXIS = Y_LEFT Z_AXIS = X_BOTTOM Z_MAX_MAJOR = 3 def plot_labels_changed(self, plot: BasePlot) -> None: """Plot labels have changed Args: plot: Plot containing the image items to be used for cross section """ self.set_axis_title("bottom", plot.get_axis_title("right")) self.set_axis_title("left", plot.get_axis_title("left")) self.set_axis_color("bottom", plot.get_axis_color("right")) self.set_axis_color("left", plot.get_axis_color("left")) def axis_dir_changed(self, plot: BasePlot, axis_id: str) -> None: """An axis direction has changed Args: plot: Plot containing the image items to be used for cross section axis_id: Axis ID """ if axis_id == plot.Y_LEFT: self.set_axis_direction("left", plot.get_axis_direction("left")) self.replot() class XYCrossSectionMixin: def connect_plot(self, plot: BasePlot) -> None: """Connect plot to cross section plot Args: plot: Plot to connect (containing the image items to be used for) """ BaseCrossSectionPlot.connect_plot(self, plot) plot.SIG_MARKER_CHANGED.connect( lambda marker: BaseCrossSectionPlot.update_plot(self, marker) ) class XCrossSectionPlot(XYCrossSectionMixin, HorizontalCrossSectionPlot): """X-axis cross section plot""" _HEIGHT = 130 def sizeHint(self) -> QC.QSize: """Reimplemented from QWidget.sizeHint""" return QC.QSize(self.width(), self._HEIGHT) def create_cross_section_item(self) -> XCrossSectionItem: """Create cross section item""" return XCrossSectionItem(self.param) class YCrossSectionPlot(XYCrossSectionMixin, VerticalCrossSectionPlot): """Y-axis cross section plot""" _WIDTH = 140 def sizeHint(self) -> QC.QSize: """Reimplemented from QWidget.sizeHint""" return QC.QSize(self._WIDTH, self.height()) def create_cross_section_item(self) -> YCrossSectionItem: """Create cross section item""" return YCrossSectionItem(self.param) # Oblique cross section plot class ObliqueCrossSectionPlot(HorizontalCrossSectionPlot): """Oblique averaged cross section plot""" PLOT_TITLE = _("Oblique averaged cross section") CURVE_LABEL = _("Oblique averaged cross section") LABEL_TEXT = _("Activate the oblique cross section tool") SHADE = 0.0 def __init__(self, parent=None): super().__init__(parent) self.set_title(self.PLOT_TITLE) self.single_source = True def create_cross_section_item(self) -> ObliqueCrossSectionItem: """Create cross section item""" return ObliqueCrossSectionItem(self.param) # Line cross section plot class LineCrossSectionPlot(HorizontalCrossSectionPlot): """Line cross section plot""" PLOT_TITLE = _("Line cross section") CURVE_LABEL = _("Line cross section") LABEL_TEXT = _("Activate the line cross section tool") SHADE = 0.0 def __init__(self, parent=None): super().__init__(parent) self.set_title(self.PLOT_TITLE) self.single_source = True def create_cross_section_item(self) -> LineCrossSectionItem: """Create cross section item""" return LineCrossSectionItem(self.param) PlotPyStack-PlotPy-2af0906/plotpy/panels/csection/cswidget.py000066400000000000000000000302451525747167300243350ustar00rootroot00000000000000# -*- coding: utf-8 -*- from guidata.configtools import get_icon from guidata.qthelpers import add_actions, create_action from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtWidgets as QW from plotpy.config import _ from plotpy.constants import ID_LCS, ID_OCS, ID_XCS, ID_YCS from plotpy.interfaces import IPanel from plotpy.panels.base import PanelWidget from plotpy.panels.csection.csplot import ( BaseCrossSectionPlot, LineCrossSectionPlot, ObliqueCrossSectionPlot, XCrossSectionPlot, YCrossSectionPlot, ) from plotpy.tools import ExportItemDataTool class CrossSectionWidget(PanelWidget): """Base class for cross section panels Args: parent: parent widget """ SIG_RESIZED = QC.Signal() # emitted when the widget is resized PANEL_ID = None PANEL_TITLE = _("Cross section tool") PANEL_ICON = "csection.png" CrossSectionPlotKlass = BaseCrossSectionPlot # to be overridden in subclasses __implements__ = (IPanel,) def __init__(self, parent=None): super().__init__(parent) self.export_ac = None self.autoscale_ac = None self.refresh_ac = None self.autorefresh_ac = None self.lockscales_ac = None self.manager = None # manager for the associated image plot # Avoid circular import # pylint-disable=import-outside-toplevel from plotpy.plot.manager import PlotManager self.local_manager = PlotManager(self) self.cs_plot = self.CrossSectionPlotKlass(parent) self.cs_plot.SIG_CS_CURVE_CHANGED.connect(self.cs_curve_has_changed) self.export_tool = None self.setup_plot() self.toolbar = QW.QToolBar(self) self.toolbar.setOrientation(QC.Qt.Orientation.Vertical) self.setup_widget() # Reimplement Qt method for sending a signal when the widget is resized def resizeEvent(self, event): """ :param event: """ super().resizeEvent(event) self.SIG_RESIZED.emit() def set_options(self, autoscale=None, autorefresh=None, lockscales=None): """ :param autoscale: :param autorefresh: :param lockscales: """ assert self.manager is not None, ( "Panel '%s' must be registered to plot manager before changing options" % self.PANEL_ID ) if autoscale is not None: self.autoscale_ac.setChecked(autoscale) if autorefresh is not None: self.autorefresh_ac.setChecked(autorefresh) if lockscales is not None: self.lockscales_ac.setChecked(lockscales) def setup_plot(self): """ """ # Configure the local manager lman = self.local_manager lman.add_plot(self.cs_plot) lman.register_all_curve_tools() self.export_tool = lman.get_tool(ExportItemDataTool) def setup_widget(self): """ """ layout = QW.QHBoxLayout() layout.addWidget(self.cs_plot) layout.addWidget(self.toolbar) layout.setContentsMargins(0, 0, 0, 0) self.setLayout(layout) def cs_curve_has_changed(self, curve): """Cross section curve has just changed""" # Do something with curve's data for example pass def register_panel(self, manager): """Register panel to plot manager""" self.manager = manager for plot in manager.get_plots(): self.cs_plot.connect_plot(plot) self.setup_actions() self.add_actions_to_toolbar() def configure_panel(self): """Configure panel""" pass def get_plot(self): """ :return: """ return self.manager.get_active_plot() def setup_actions(self): """ """ self.export_ac = self.export_tool.action self.lockscales_ac = create_action( self, _("Lock scales"), icon=get_icon("axes.png"), toggled=self.cs_plot.toggle_lockscales, tip=_("Lock scales to main plot axes"), ) self.lockscales_ac.setChecked(self.cs_plot.lockscales) self.autoscale_ac = create_action( self, _("Auto-scale"), icon=get_icon("csautoscale.png"), toggled=self.cs_plot.toggle_autoscale, ) self.autoscale_ac.toggled.connect(self.lockscales_ac.setDisabled) self.autoscale_ac.setChecked(self.cs_plot.autoscale_mode) self.refresh_ac = create_action( self, _("Refresh"), icon=get_icon("refresh.png"), triggered=lambda: self.cs_plot.update_plot(), ) self.autorefresh_ac = create_action( self, _("Auto-refresh"), icon=get_icon("autorefresh.png"), toggled=self.cs_plot.toggle_autorefresh, ) self.autorefresh_ac.setChecked(self.cs_plot.autorefresh_mode) def add_actions_to_toolbar(self): """ """ add_actions( self.toolbar, ( self.export_ac, None, self.autoscale_ac, self.lockscales_ac, None, self.refresh_ac, self.autorefresh_ac, ), ) def register_shape(self, shape, refresh=True): """ :param shape: :param final: :param refresh: """ plot = self.get_plot() self.cs_plot.register_shape(plot, shape, refresh) def unregister_shape(self, shape): """ :param shape: """ self.cs_plot.unregister_shape(shape) def update_plot(self, obj=None): """ Update cross section curve(s) associated to object *obj* *obj* may be a marker or a rectangular shape (see :py:class:`.tools.CrossSectionTool` and :py:class:`.tools.AverageCrossSectionTool`) If obj is None, update the cross sections of the last active object """ self.cs_plot.update_plot(obj) assert_interfaces_valid(CrossSectionWidget) class XCrossSection(CrossSectionWidget): """X-axis cross section panel Args: parent: parent widget """ PANEL_ID = ID_XCS OTHER_PANEL_ID = ID_YCS CrossSectionPlotKlass = XCrossSectionPlot def __init__(self, parent=None): super().__init__(parent) self.peritem_ac = None self.applylut_ac = None def set_options( self, autoscale=None, autorefresh=None, peritem=None, applylut=None, lockscales=None, ): """ :param autoscale: :param autorefresh: :param peritem: :param applylut: :param lockscales: """ assert self.manager is not None, ( f"Panel '{self.PANEL_ID}' must be " "registered to plot manager before changing options" ) if autoscale is not None: self.autoscale_ac.setChecked(autoscale) if autorefresh is not None: self.autorefresh_ac.setChecked(autorefresh) if lockscales is not None: self.lockscales_ac.setChecked(lockscales) if peritem is not None: self.peritem_ac.setChecked(peritem) if applylut is not None: self.applylut_ac.setChecked(applylut) def add_actions_to_toolbar(self): """ """ other = self.manager.get_panel(self.OTHER_PANEL_ID) if other is None: add_actions( self.toolbar, ( self.peritem_ac, self.applylut_ac, None, self.export_ac, None, self.autoscale_ac, self.lockscales_ac, None, self.refresh_ac, self.autorefresh_ac, ), ) else: add_actions( self.toolbar, ( other.peritem_ac, other.applylut_ac, None, self.export_ac, None, other.autoscale_ac, other.lockscales_ac, None, other.refresh_ac, other.autorefresh_ac, ), ) other.peritem_ac.toggled.connect(self.cs_plot.toggle_perimage_mode) other.applylut_ac.toggled.connect(self.cs_plot.toggle_apply_lut) other.autoscale_ac.toggled.connect(self.cs_plot.toggle_autoscale) other.refresh_ac.triggered.connect(lambda: self.cs_plot.update_plot()) other.autorefresh_ac.toggled.connect(self.cs_plot.toggle_autorefresh) other.lockscales_ac.toggled.connect(self.cs_plot.toggle_lockscales) def closeEvent(self, event): """ :param event: """ self.hide() event.ignore() def setup_actions(self): """ """ CrossSectionWidget.setup_actions(self) self.peritem_ac = create_action( self, _("Per image cross-section"), icon=get_icon("csperimage.png"), toggled=self.cs_plot.toggle_perimage_mode, tip=_( "Enable the per-image cross-section mode, " "which works directly on image rows/columns.\n" "That is the fastest method to compute " "cross-section curves but it ignores " "image transformations (e.g. rotation)" ), ) self.applylut_ac = create_action( self, _("Apply LUT\n(contrast settings)"), icon=get_icon("csapplylut.png"), toggled=self.cs_plot.toggle_apply_lut, tip=_( "Apply LUT (Look-Up Table) contrast settings.\n" "This is the easiest way to compare images " "which have slightly different level ranges.\n\n" "Note: LUT is coded over 1024 levels (0...1023)" ), ) self.peritem_ac.setChecked(True) self.applylut_ac.setChecked(False) class YCrossSection(XCrossSection): """Y-axis cross section panel Args: parent: parent widget position: position of the panel ('left' or 'right') xsection_pos: position of the cross section plot ('top' or 'bottom') """ PANEL_ID = ID_YCS OTHER_PANEL_ID = ID_XCS CrossSectionPlotKlass = YCrossSectionPlot def __init__(self, parent=None, position="right", xsection_pos="top"): self.xsection_pos = xsection_pos self.spacer = QW.QSpacerItem(0, 0) super().__init__(parent) self.cs_plot.set_axis_direction("bottom", reverse=position == "left") def setup_widget(self): """ """ toolbar = self.toolbar toolbar.setOrientation(QC.Qt.Orientation.Horizontal) layout = QW.QVBoxLayout() if self.xsection_pos == "top": layout.addSpacerItem(self.spacer) layout.addWidget(toolbar) layout.addWidget(self.cs_plot) if self.xsection_pos == "bottom": layout.addSpacerItem(self.spacer) layout.setContentsMargins(0, 0, 0, 0) self.setLayout(layout) def adjust_height(self, height): """ :param height: """ self.spacer.changeSize(0, height, QW.QSizePolicy.Fixed, QW.QSizePolicy.Fixed) self.layout().invalidate() # Oblique cross section panel class ObliqueCrossSection(CrossSectionWidget): """Oblique averaged cross section panel Args: parent: parent widget """ PANEL_ID = ID_OCS CrossSectionPlotKlass = ObliqueCrossSectionPlot PANEL_ICON = "csection_oblique.png" def setup_actions(self): """ """ super().setup_actions() self.lockscales_ac.setChecked(False) self.autoscale_ac.setChecked(True) class LineCrossSection(CrossSectionWidget): """Line cross section panel Args: parent: parent widget """ PANEL_ID = ID_LCS CrossSectionPlotKlass = LineCrossSectionPlot def __init__(self, parent=None): super().__init__(parent) self.cs_plot.set_axis_direction("bottom", reverse=False) PlotPyStack-PlotPy-2af0906/plotpy/panels/itemlist.py000066400000000000000000000312471525747167300225520ustar00rootroot00000000000000# -*- coding: utf-8 -*- """ Plot Item list ^^^^^^^^^^^^^^ The `plot item list` panel is a widget which displays the list of items attached to the plot. .. autoclass:: PlotItemList """ from __future__ import annotations from typing import TYPE_CHECKING from guidata.configtools import get_icon, get_image_layout from guidata.qthelpers import add_actions, create_action from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtWidgets as QW from plotpy.config import _ from plotpy.constants import ID_ITEMLIST, PARAMETERS_TITLE_ICON from plotpy.interfaces import IPanel from plotpy.interfaces import items as itf from plotpy.panels.base import PanelWidget from plotpy.plot import BasePlot, PlotManager from plotpy.styles.base import ItemParameters if TYPE_CHECKING: from qtpy.QtGui import QContextMenuEvent, QIcon from qtpy.QtWidgets import QListWidgetItem, QWidget class ItemListWidget(QW.QListWidget): """ PlotItemList List of items attached to plot """ def __init__(self, parent: QWidget) -> None: super().__init__(parent) self.manager = None self.plot = None # the default plot... self.items = [] self.currentRowChanged.connect(self.current_row_changed) self.itemChanged.connect(self.item_changed) self.itemSelectionChanged.connect(self.refresh_actions) self.itemSelectionChanged.connect(self.selection_changed) self.setWordWrap(True) self.setMinimumWidth(140) self.setSelectionMode(QW.QListWidget.ExtendedSelection) # Setup context menu self.menu = QW.QMenu(self) self.menu_actions = self.setup_actions() self.refresh_actions() add_actions(self.menu, self.menu_actions) def register_panel(self, manager: PlotManager) -> None: """Register panel to plot manager Args: manager: plot manager to register to """ self.manager = manager for plot in self.manager.get_plots(): plot.SIG_ITEMS_CHANGED.connect(self.items_changed) plot.SIG_ACTIVE_ITEM_CHANGED.connect(self.active_item_changed) plot.SIG_ITEM_PARAMETERS_CHANGED.connect(self.item_parameters_changed) self.plot = self.manager.get_plot() def contextMenuEvent(self, event: QContextMenuEvent) -> None: """Override Qt method""" self.refresh_actions() self.menu.popup(event.globalPos()) def setup_actions(self) -> None: """Setup actions""" self.rename_ac = create_action( self, _("Rename"), icon=get_icon("rename.png"), triggered=self.rename_item, shortcut="F2", ) self.movedown_ac = create_action( self, _("Move to back"), icon=get_icon("arrow_down.png"), triggered=lambda: self.move_item("down"), ) self.moveup_ac = create_action( self, _("Move to front"), icon=get_icon("arrow_up.png"), triggered=lambda: self.move_item("up"), ) self.settings_ac = create_action( self, _("Parameters..."), icon=get_icon("settings.png"), triggered=self.edit_plot_parameters, ) self.remove_ac = create_action( self, _("Remove"), icon=get_icon("trash.png"), triggered=self.remove_item ) return [ self.rename_ac, self.moveup_ac, self.movedown_ac, None, self.settings_ac, self.remove_ac, ] def edit_plot_parameters(self) -> None: """Edit plot parameters""" # In order to support non-selectable items, we have to reimplement the # `BasePlot.edit_plot_parameters` method. This is because we can select items # using the `PlotItemList` widget, but we can't select them using the plot # widget. Thus we can't rely on the `BasePlot.get_selected_items` method and # other methods that rely on it. # # This can be tested for example by uncommenting the line containing # `item.set_selectable(False)` in the `tests/items/test_transform.py` file. # === Reimplementing the `BasePlot.edit_plot_parameters`: sel_items = self.get_selected_items() multiselection = len(sel_items) > 1 itemparams = ItemParameters(multiselection=multiselection) # === === Reimplementing the `BasePlot.get_plot_parameters`: for item in sel_items: item.get_item_parameters(itemparams) sel_items[0].get_item_parameters(itemparams) if self.plot.get_show_axes_tab(): Param = self.plot.get_axesparam_class(sel_items[0]) axesparam = Param( title=_("Axes"), icon="lin_lin.png", comment=_("Axes associated to selected item"), ) axesparam.update_param(sel_items[0]) itemparams.add("AxesParam", self.plot, axesparam) # === === title, icon = PARAMETERS_TITLE_ICON["item"] itemparams.edit(self.plot, title, icon) # === def __is_selection_contiguous(self) -> bool: """Check if selected items are contiguous""" indexes = sorted([self.row(lw_item) for lw_item in self.selectedItems()]) return len(indexes) <= 1 or list(range(indexes[0], indexes[-1] + 1)) == indexes def get_selected_items(self) -> list[itf.IBasePlotItem]: """Return selected QwtPlot items .. warning:: This is not the same as :py:meth:`.baseplot.BasePlot.get_selected_items`. Some items could appear in itemlist without being registered in plot widget items (in particular, some items could be selected in itemlist without being selected in plot widget) """ return [self.items[self.row(lw_item)] for lw_item in self.selectedItems()] def refresh_actions(self) -> None: """Refresh actions""" is_selection = len(self.selectedItems()) > 0 for action in self.menu_actions: if action is not None: action.setEnabled(is_selection) if is_selection: editable_state = True for item in self.get_selected_items(): editable_state = editable_state and not item.is_readonly() self.remove_ac.setEnabled(editable_state) for action in [self.moveup_ac, self.movedown_ac]: action.setEnabled(self.__is_selection_contiguous()) self.rename_ac.setEnabled(editable_state and len(self.selectedItems()) == 1) self.settings_ac.setEnabled(editable_state) def __get_item_icon(self, item: itf.IBasePlotItem) -> QIcon: """Get item icon""" return get_icon(item.get_icon_name()) def items_changed(self, plot: BasePlot) -> None: """Plot items have changed Args: plot: plot """ active_plot = self.manager.get_active_plot() if active_plot is not plot: return self.plot = plot _block = self.blockSignals(True) active = plot.get_active_item() self.items = plot.get_public_items(z_sorted=True) self.clear() for item in self.items: title = item.title().text() lw_item = QW.QListWidgetItem(self.__get_item_icon(item), title, self) lw_item.setCheckState( QC.Qt.Checked if item.isVisible() else QC.Qt.Unchecked ) lw_item.setSelected(item.selected) font = lw_item.font() if item is active: font.setItalic(True) else: font.setItalic(False) lw_item.setFont(font) self.addItem(lw_item) self.refresh_actions() self.blockSignals(_block) def active_item_changed(self, plot: BasePlot) -> None: """Plot items have changed Args: plot: plot """ active_plot = self.manager.get_active_plot() if active_plot is not plot: return self.plot = plot _block = self.blockSignals(True) active = plot.get_active_item() for item in self.items: title = item.title().text() lw_item = self.item(self.items.index(item)) lw_item.setText(title) lw_item.setSelected(item.selected) font = lw_item.font() if item is active: font.setItalic(True) else: font.setItalic(False) lw_item.setFont(font) self.refresh_actions() self.blockSignals(_block) def item_parameters_changed(self, item: itf.IBasePlotItem) -> None: """Item parameters have changed Args: item: item """ if not isinstance(item, BasePlot): plot = item.plot() if plot is not None: self.items_changed(plot) def current_row_changed(self, index: int) -> None: """QListWidget current row has changed Args: index: index """ if index == -1: return item = self.items[index] if not item.can_select(): item = None if item is None: self.plot.replot() def selection_changed(self) -> None: """Selection has changed""" items = [item for item in self.get_selected_items() if item.can_select()] self.plot.select_some_items(items) self.plot.replot() def item_changed(self, listwidgetitem: QListWidgetItem) -> None: """QListWidget item has changed Args: listwidgetitem: list widget item """ item = self.items[self.row(listwidgetitem)] visible = listwidgetitem.checkState() == QC.Qt.Checked if visible != item.isVisible(): self.plot.set_item_visible(item, visible) def rename_item(self) -> None: """Rename item""" item = self.get_selected_items()[0] title = item.title().text() new_title, ok = QW.QInputDialog.getText( self, _("Rename"), _("New title:"), text=title ) if ok and new_title != title: item.setTitle(new_title) self.plot.replot() self.items_changed(self.plot) def move_item(self, direction: str) -> None: """Move item to the background/foreground Works only for contiguous selection -> 'refresh_actions' method should guarantee that Args: direction: direction """ items = self.get_selected_items() if direction == "up": self.plot.move_up(items) else: self.plot.move_down(items) # Re-select items which can't be selected in plot widget but can be # selected in ItemListWidget: for item in items: lw_item = self.item(self.items.index(item)) if not lw_item.isSelected(): lw_item.setSelected(True) self.plot.replot() def remove_item(self) -> None: """Remove item""" if len(self.selectedItems()) == 1: message = _("Do you really want to remove this item?") else: message = _("Do you really want to remove selected items?") answer = QW.QMessageBox.warning( self, _("Remove"), message, QW.QMessageBox.Yes | QW.QMessageBox.No ) if answer == QW.QMessageBox.Yes: items = self.get_selected_items() self.plot.del_items(items) self.plot.replot() class PlotItemList(PanelWidget): """Construct the `plot item list panel`""" __implements__ = (IPanel,) PANEL_ID = ID_ITEMLIST PANEL_TITLE = _("Item list") PANEL_ICON = "item_list.png" def __init__(self, parent): super().__init__(parent) self.manager = None vlayout = QW.QVBoxLayout() self.setLayout(vlayout) style = "%s" layout, _label = get_image_layout( self.PANEL_ICON, style % self.PANEL_TITLE, alignment=QC.Qt.AlignCenter ) vlayout.addLayout(layout) self.listwidget = ItemListWidget(self) vlayout.addWidget(self.listwidget) toolbar = QW.QToolBar(self) vlayout.addWidget(toolbar) add_actions(toolbar, self.listwidget.menu_actions) def register_panel(self, manager: PlotManager) -> None: """Register panel to plot manager Args: manager: plot manager """ self.manager = manager self.listwidget.register_panel(manager) def configure_panel(self): """Configure panel""" pass assert_interfaces_valid(PlotItemList) PlotPyStack-PlotPy-2af0906/plotpy/plot/000077500000000000000000000000001525747167300200335ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/plot/__init__.py000066400000000000000000000005111525747167300221410ustar00rootroot00000000000000# -*- coding: utf-8 -*- # pylint: disable=unused-import # flake8: noqa from .base import BasePlot, BasePlotOptions from .manager import PlotManager from .plotwidget import ( PlotDialog, PlotOptions, PlotWidget, PlotWindow, SubplotWidget, SyncPlotWindow, SyncPlotDialog, set_widget_title_icon, ) PlotPyStack-PlotPy-2af0906/plotpy/plot/base.py000066400000000000000000002675301525747167300213340ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Plotting widget base class -------------------------- The `base` module provides the :mod:`plotpy` plotting widget base class: :py:class:`.base.BasePlot`. """ from __future__ import annotations import dataclasses import pickle import sys import warnings import weakref from datetime import datetime from math import fabs from typing import TYPE_CHECKING, Any import numpy as np import qwt from guidata.configtools import get_font from guidata.qthelpers import is_qobject_valid from qtpy import QtCore as QC from qtpy import QtGui as QG from qtpy import QtWidgets as QW from qtpy.QtPrintSupport import QPrinter from plotpy import constants as cst from plotpy import io from plotpy.config import CONF, _ from plotpy.constants import PARAMETERS_TITLE_ICON, PlotType from plotpy.events import StatefulEventFilter from plotpy.interfaces import items as itf from plotpy.items import ( AnnotatedCircle, AnnotatedEllipse, AnnotatedObliqueRectangle, AnnotatedPoint, AnnotatedPolygon, AnnotatedRectangle, AnnotatedSegment, BaseImageItem, CurveItem, GridItem, Marker, PolygonMapItem, PolygonShape, QuiverItem, ) from plotpy.styles.axes import AxesParam, AxeStyleParam, AxisParam, ImageAxesParam from plotpy.styles.base import GridParam, ItemParameters if TYPE_CHECKING: from typing import IO from qwt.scale_widget import QwtScaleWidget from plotpy.plot.manager import PlotManager TrackableItem = CurveItem | BaseImageItem import guidata.io @dataclasses.dataclass class BasePlotOptions: """Base plot options Args: title: The plot title xlabel: (bottom axis title, top axis title) or bottom axis title only ylabel: (left axis title, right axis title) or left axis title only zlabel: The Z-axis label xunit: (bottom axis unit, top axis unit) or bottom axis unit only yunit: (left axis unit, right axis unit) or left axis unit only zunit: The Z-axis unit yreverse: If True, the Y-axis is reversed aspect_ratio: The plot aspect ratio lock_aspect_ratio: If True, the aspect ratio is locked curve_antialiasing: If True, the curve antialiasing is enabled gridparam: The grid parameters section: The plot configuration section name ("plot", by default) type: The plot type ("auto", "manual", "curve" or "image") axes_synchronised: If True, the axes are synchronised force_colorbar_enabled: If True, the colorbar is always enabled show_axes_tab: If True, the axes tab is shown in the parameters dialog autoscale_margin_percent: The percentage margin added when autoscaling (0.2% by default) """ title: str | None = None xlabel: str | tuple[str, str] | None = None ylabel: str | tuple[str, str] | None = None zlabel: str | None = None xunit: str | tuple[str, str] | None = None yunit: str | tuple[str, str] | None = None zunit: str | None = None yreverse: bool | None = None aspect_ratio: float = 1.0 lock_aspect_ratio: bool | None = None curve_antialiasing: bool | None = None gridparam: GridParam | None = None section: str = "plot" type: str | PlotType = "auto" axes_synchronised: bool = False force_colorbar_enabled: bool = False show_axes_tab: bool = True autoscale_margin_percent: float = 0.2 def __post_init__(self) -> None: """Check arguments""" # Check type if isinstance(self.type, str): if self.type not in ["auto", "manual", "curve", "image"]: raise ValueError("type must be 'auto', 'manual', 'curve' or 'image'") self.type = PlotType[self.type.upper()] elif not isinstance(self.type, PlotType): raise TypeError("type must be a string or a PlotType") # Check aspect ratio if self.aspect_ratio <= 0: raise ValueError("aspect_ratio must be strictly positive") # Check autoscale margin percentage if self.autoscale_margin_percent < 0: raise ValueError("autoscale_margin_percent must be non-negative") if self.autoscale_margin_percent > 50: raise ValueError("autoscale_margin_percent must be <= 50%") # Show a warning if force_colorbar_enabled is True and type is "curve" if self.force_colorbar_enabled and self.type == "curve": warnings.warn( "force_colorbar_enabled is True but type is 'curve', " "so the colorbar will not be displayed", RuntimeWarning, ) def copy(self, other_options: dict[str, Any]) -> BasePlotOptions: """Copy the options and replace some of them with the given dictionary Args: other_options: The dictionary Returns: BasePlotOptions: The new options """ return dataclasses.replace(self, **other_options) class BasePlot(qwt.QwtPlot): """Enhanced QwtPlot class providing methods for handling items and axes better It distinguishes activatable items from basic QwtPlotItems. Activatable items must support IBasePlotItem interface and should be added to the plot using add_item methods. Args: parent: parent widget options: plot options """ Y_LEFT, Y_RIGHT, X_BOTTOM, X_TOP = cst.Y_LEFT, cst.Y_RIGHT, cst.X_BOTTOM, cst.X_TOP AXIS_IDS = (Y_LEFT, Y_RIGHT, X_BOTTOM, X_TOP) AXIS_NAMES = {"left": Y_LEFT, "right": Y_RIGHT, "bottom": X_BOTTOM, "top": X_TOP} AXIS_TYPES = { "lin": qwt.QwtLinearScaleEngine, "log": qwt.QwtLogScaleEngine, "datetime": qwt.QwtDateTimeScaleEngine, } AXIS_CONF_OPTIONS = ("axis", "axis", "axis", "axis") DEFAULT_ACTIVE_XAXIS = X_BOTTOM DEFAULT_ACTIVE_YAXIS = Y_LEFT AUTOSCALE_TYPES = (CurveItem, BaseImageItem, PolygonMapItem, QuiverItem) #: Signal emitted by plot when an IBasePlotItem object was moved #: #: Args: #: item: the moved item #: x0 (float): the old x position #: y0 (float): the old y position #: x1 (float): the new x position #: y1 (float): the new y position SIG_ITEM_MOVED = QC.Signal(object, float, float, float, float) #: Signal emitted by plot when an IBasePlotItem handle was moved #: #: Args: #: item: the moved item SIG_ITEM_HANDLE_MOVED = QC.Signal(object) #: Signal emitted by plot when an IBasePlotItem object was resized #: #: Args: #: item: the resized item #: zoom_dx (float): the zoom factor along the x axis #: zoom_dy (float): the zoom factor along the y axis SIG_ITEM_RESIZED = QC.Signal(object, float, float) #: Signal emitted by plot when an IBasePlotItem object was rotated #: #: Args: #: item: the rotated item #: angle (float): the new angle (in radians) SIG_ITEM_ROTATED = QC.Signal(object, float) #: Signal emitted by plot when a shape.Marker position changes #: #: Args: #: marker: the moved marker SIG_MARKER_CHANGED = QC.Signal(object) #: Signal emitted by plot when a shape.Axes position (or the angle) changes #: #: Args: #: axes: the moved axes SIG_AXES_CHANGED = QC.Signal(object) #: Signal emitted by plot when an annotation.AnnotatedShape position changes #: #: Args: #: annotation: the moved annotation SIG_ANNOTATION_CHANGED = QC.Signal(object) #: Signal emitted by plot when the a shape.XRangeSelection range changes #: #: Args: #: selection: the selection item #: xmin (float): the new minimum x value #: xmax (float): the new maximum x value SIG_RANGE_CHANGED = QC.Signal(object, float, float) #: Signal emitted by plot when item list has changed (item removed, added, ...) #: #: Args: #: plot: the plot SIG_ITEMS_CHANGED = QC.Signal(object) #: Signal emitted by plot when item parameters have changed (through the item's #: parameters dialog, or when setting colormap using the dedicated tool) #: #: Args: #: item: the item SIG_ITEM_PARAMETERS_CHANGED = QC.Signal(object) #: Signal emitted by plot when axis parameters have changed (through the axis #: parameters dialog) #: #: Args: #: axis_id: the axis id (0: left, 1: right, 2: bottom, 3: top) SIG_AXIS_PARAMETERS_CHANGED = QC.Signal(int) #: Signal emitted by plot when selected item has changed #: #: Args: #: plot: the plot SIG_ACTIVE_ITEM_CHANGED = QC.Signal(object) #: Signal emitted by plot when an item was deleted from the item list or using the #: delete item tool #: #: Args: #: item: the deleted item SIG_ITEM_REMOVED = QC.Signal(object) #: Signal emitted by plot when an item is selected #: #: Args: #: item: the selected item SIG_ITEM_SELECTION_CHANGED = QC.Signal(object) #: Signal emitted by plot when plot's title or any axis label has changed #: #: Args: #: plot: the plot SIG_PLOT_LABELS_CHANGED = QC.Signal(object) #: Signal emitted by plot when any plot axis direction has changed #: #: Args: #: plot: the plot #: axis_id: the axis id ("left", "right", "bottom", "top") SIG_AXIS_DIRECTION_CHANGED = QC.Signal(object, object) #: Signal emitted by plot when LUT has been changed by the user #: #: Args: #: plot: the plot SIG_LUT_CHANGED = QC.Signal(object) #: Signal emitted by plot when image mask has changed #: #: Args: #: plot: the plot SIG_MASK_CHANGED = QC.Signal(object) #: Signal emitted by cross section plot when cross section curve data has changed #: #: Args: #: plot: the plot SIG_CS_CURVE_CHANGED = QC.Signal(object) #: Signal emitted by plot when plot axis has changed, e.g. when panning/zooming #: #: Args: #: plot: the plot SIG_PLOT_AXIS_CHANGED = QC.Signal(object) EPSILON_ASPECT_RATIO = 1e-6 def __init__( self, parent: QW.QWidget | None = None, options: BasePlotOptions | dict[str, Any] | None = None, ) -> None: super().__init__(parent) if isinstance(options, dict): options = BasePlotOptions(**options) self.options = options = options if options is not None else BasePlotOptions() self.__autoscale_excluded_items: list[itf.IBasePlotItem] = [] self.autoscale_margin_percent = options.autoscale_margin_percent self._axis_autoscale_strategy: dict[ int, tuple[str, float | None, float | None] ] = {axis_id: ("auto", None, None) for axis_id in self.AXIS_IDS} self.lock_aspect_ratio = options.lock_aspect_ratio self.__autoLockAspectRatio = False if self.lock_aspect_ratio is None: if self.options.type == PlotType.IMAGE: self.lock_aspect_ratio = True elif self.options.type in (PlotType.CURVE, PlotType.MANUAL): self.lock_aspect_ratio = False else: # PlotType.AUTO self.lock_aspect_ratio = False self.__autoLockAspectRatio = True self.__autoYReverse = False if options.yreverse is None: if self.options.type == PlotType.IMAGE: options.yreverse = True elif self.options.type in (PlotType.CURVE, PlotType.MANUAL): options.yreverse = False else: # PlotType.AUTO options.yreverse = False self.__autoYReverse = True self.colormap_axis = cst.Y_RIGHT self.__autoColorBarEnabled = False if options.force_colorbar_enabled or self.options.type == PlotType.IMAGE: self.enableAxis(self.colormap_axis) self.axisWidget(self.colormap_axis).setColorBarEnabled(True) elif self.options.type == PlotType.AUTO: self.__autoColorBarEnabled = True if options.zlabel is not None: if options.ylabel is not None and not isinstance(options.ylabel, str): options.ylabel = options.ylabel[0] options.ylabel = (options.ylabel, options.zlabel) if options.zunit is not None: if options.yunit is not None and not isinstance(options.yunit, str): options.yunit = options.yunit[0] options.yunit = (options.yunit, options.zunit) self._start_autoscaled = True self.setSizePolicy(QW.QSizePolicy.Expanding, QW.QSizePolicy.Expanding) self.manager = None self.plot_id = None # id assigned by it's manager self.filter = StatefulEventFilter(self) self.items: list[itf.IBasePlotItem] = [] self.active_item: qwt.QwtPlotItem = None self.last_selected = {} # a mapping from item type to last selected item self.axes_styles = [ AxeStyleParam(_("Left")), AxeStyleParam(_("Right")), AxeStyleParam(_("Bottom")), AxeStyleParam(_("Top")), ] self._active_xaxis = self.DEFAULT_ACTIVE_XAXIS self._active_yaxis = self.DEFAULT_ACTIVE_YAXIS self.read_axes_styles(options.section, self.AXIS_CONF_OPTIONS) self.font_title = get_font(CONF, options.section, "title") canvas: qwt.QwtPlotCanvas = self.canvas() canvas.setFocusPolicy(QC.Qt.FocusPolicy.StrongFocus) canvas.setFocusIndicator(qwt.QwtPlotCanvas.ItemFocusIndicator) self.SIG_ITEM_MOVED.connect(self._move_selected_items_together) self.SIG_ITEM_RESIZED.connect(self._resize_selected_items_together) self.SIG_ITEM_ROTATED.connect(self._rotate_selected_items_together) self.legendDataChanged.connect( lambda item, _legdata: item.update_item_parameters() ) self.axes_reverse = [False] * 4 self.set_titles( title=options.title, xlabel=options.xlabel, ylabel=options.ylabel, xunit=options.xunit, yunit=options.yunit, ) self.antialiased = False antial = options.curve_antialiasing or CONF.get(options.section, "antialiasing") self.set_antialiasing(antial) self.axes_synchronised = options.axes_synchronised # Installing our own event filter: # (qwt's event filter does not fit our needs) canvas.installEventFilter(self.filter) canvas.setMouseTracking(True) self.cross_marker = Marker() self.curve_marker = Marker( label_cb=self.get_coordinates_str, constraint_cb=self.on_active_curve ) self.__marker_stay_visible = False self.cross_marker.set_style(options.section, "marker/cross") self.curve_marker.set_style(options.section, "marker/curve") self.cross_marker.setVisible(False) self.curve_marker.setVisible(False) self.cross_marker.attach(self) self.curve_marker.attach(self) # Background color self.setCanvasBackground(QC.Qt.GlobalColor.white) self.curve_pointer = False self.canvas_pointer = False # Setting up grid if options.gridparam is None: options.gridparam = GridParam(title=_("Grid"), icon="grid.png") options.gridparam.read_config(CONF, options.section, "grid") self.grid = GridItem(options.gridparam) self.add_item(self.grid, z=-1) self.__aspect_ratio = None self.set_axis_direction("left", options.yreverse) self.set_aspect_ratio(options.aspect_ratio, options.lock_aspect_ratio) self.replot() # Workaround for the empty image widget bug # ---- Private API ---------------------------------------------------------- def __del__(self): # Sometimes, an obscure exception happens when we quit an application # because if we don't remove the eventFilter it can still be called # after the filter object has been destroyed by Python. # Note: PySide6 segfaults instead of raising RuntimeError when accessing # a deleted C++ object, so we must check validity before calling methods. if not is_qobject_valid(self): return canvas: qwt.QwtPlotCanvas = self.canvas() if canvas and is_qobject_valid(canvas) and is_qobject_valid(self.filter): try: canvas.removeEventFilter(self.filter) except (RuntimeError, ValueError): # Widget/filter may have already been deleted pass def update_color_mode(self) -> None: """Color mode was updated, update plot widget accordingly""" self.grid.gridparam.read_config(CONF, self.options.section, "grid") self.grid.gridparam.update_grid(self.grid) self.replot() def on_active_curve(self, x: float, y: float) -> tuple[float, float]: """ Callback called when the active curve is moved Args: x (float): the x position y (float): the y position """ curve: CurveItem = self.get_last_active_item(itf.ICurveItemType) if curve: x, y = curve.get_closest_coordinates(x, y) return x, y def get_coordinates_str(self, x: float, y: float) -> str: """ Return the coordinates string Args: x (float): the x position y (float): the y position Returns: str: the coordinates string """ title = _("Grid") item: TrackableItem = self.get_last_active_item(itf.ITrackableItemType) if item: return item.get_coordinates_label(x, y) return self.format_coordinate_values(x, y, "bottom", "left", title) def format_coordinate_values( self, x: float, y: float, xaxis: str | int, yaxis: str | int, title: str ) -> str: """Format coordinate values with axis-aware formatting Args: x: The x coordinate value y: The y coordinate value xaxis: The x axis name ("bottom", "top") or axis ID yaxis: The y axis name ("left", "right") or axis ID title: The title to display in the coordinate string Returns: str: Formatted coordinate string with HTML markup """ x_formatted = self.format_coordinate_value(x, xaxis) y_formatted = self.format_coordinate_value(y, yaxis) return f"{title}
x = {x_formatted}
y = {y_formatted}" def format_coordinate_value(self, value: float, axis_id: str | int) -> str: """Format a coordinate value based on the axis scale type Args: value: The coordinate value to format axis_id: The axis name ("bottom", "top", "left", "right") or axis ID Returns: str: Formatted coordinate value """ axis_id = self.get_axis_id(axis_id) # Check if this axis is using datetime scale if self.get_axis_scale(axis_id) == "datetime": try: scale_draw: qwt.QwtDateTimeScaleDraw = self.axisScaleDraw(axis_id) dt = datetime.fromtimestamp(value) return dt.strftime(scale_draw.get_format()) except (ValueError, OSError, OverflowError): # Handle invalid timestamps, fall back to numeric display return f"{value:g}" else: # Standard numeric formatting return f"{value:g}" def set_marker_axes(self) -> None: """ Set the axes of the markers """ item: TrackableItem = self.get_last_active_item(itf.ITrackableItemType) if item: self.cross_marker.setAxes(item.xAxis(), item.yAxis()) self.curve_marker.setAxes(item.xAxis(), item.yAxis()) def do_move_marker(self, event: QG.QMouseEvent) -> None: """ Move the marker Args: event (QMouseEvent): the event """ pos = event.pos() self.set_marker_axes() if ( event.modifiers() & QC.Qt.KeyboardModifier.ShiftModifier or self.curve_pointer ): self.curve_marker.setZ(self.get_max_z() + 1) self.cross_marker.setVisible(False) self.curve_marker.setVisible(True) self.curve_marker.move_local_point_to(0, pos) self.replot() self.__marker_stay_visible = event.modifiers() & QC.Qt.ControlModifier elif ( event.modifiers() & QC.Qt.KeyboardModifier.AltModifier or self.canvas_pointer ): self.cross_marker.setZ(self.get_max_z() + 1) self.cross_marker.setVisible(True) self.curve_marker.setVisible(False) self.cross_marker.move_local_point_to(0, pos) self.replot() self.__marker_stay_visible = event.modifiers() & QC.Qt.ControlModifier else: vis_cross = self.cross_marker.isVisible() vis_curve = self.curve_marker.isVisible() self.cross_marker.setVisible(False) self.curve_marker.setVisible(self.__marker_stay_visible) if vis_cross or vis_curve: self.replot() def __get_axes_to_update( self, dx: tuple[float, float, float, float], dy: tuple[float, float, float, float], ) -> list[tuple[float, float, float, float], int]: """ Return the axes to update Args: dx (tuple[float, float, float, float]): the x axis 'state' tuple dy (tuple[float, float, float, float]): the y axis 'state' tuple Returns: list[tuple[float, float, float, float], int]: the axes to update """ if self.axes_synchronised: axes = [] for axis_name in self.AXIS_NAMES: if axis_name in ("left", "right"): d = dy else: d = dx axes.append((d, self.get_axis_id(axis_name))) return axes else: xaxis, yaxis = self.get_active_axes() return [(dx, xaxis), (dy, yaxis)] def do_pan_view( self, dx: tuple[float, float, float, float], dy: tuple[float, float, float, float], replot: bool = True, ) -> None: """ Translate the active axes according to dx, dy axis 'state' tuples Args: dx (tuple[float, float, float, float]): the x axis 'state' tuple dy (tuple[float, float, float, float]): the y axis 'state' tuple replot: if True, do a full replot else just update the axes to avoid a redraw (default: True) """ # dx and dy are the output of the "DragHandler.get_move_state" method # (see module ``plotpy.events``) auto = self.autoReplot() self.setAutoReplot(False) axes_to_update = self.__get_axes_to_update(dx, dy) for (x1, x0, _start, _width), axis_id in axes_to_update: lbound, hbound = self.get_axis_limits(axis_id) i_lbound = self.transform(axis_id, lbound) i_hbound = self.transform(axis_id, hbound) delta = x1 - x0 vmin = self.invTransform(axis_id, i_lbound - delta) vmax = self.invTransform(axis_id, i_hbound - delta) self.set_axis_limits(axis_id, vmin, vmax) self.setAutoReplot(auto) if replot: self.replot() else: self.updateAxes() # the signal MUST be emitted after replot, otherwise # we receiver won't see the new bounds (don't know why?) self.SIG_PLOT_AXIS_CHANGED.emit(self) def do_zoom_view( self, dx: tuple[float, float, float, float], dy: tuple[float, float, float, float], lock_aspect_ratio: bool | None = None, replot: bool = True, ) -> None: """ Change the scale of the active axes (zoom/dezoom) according to dx, dy axis 'state' tuples We try to keep initial pos fixed on the canvas as the scale changes Args: dx (tuple[float, float, float, float]): the x axis 'state' tuple dy (tuple[float, float, float, float]): the y axis 'state' tuple lock_aspect_ratio: if True, the aspect ratio is locked replot: if True, do a full replot else just update the axes to avoid a redraw (default: True) """ # dx and dy are the output of the "DragHandler.get_move_state" method # (see module ``plotpy.events``): # dx = (pos.x(), self.last.x(), self.start.x(), rct.width()) # dy = (pos.y(), self.last.y(), self.start.y(), rct.height()) # where: # * self.last is the mouse position seen during last event # * self.start is the first mouse position (here, this is the # coordinate of the point which is at the center of the zoomed area) # * rct is the plot rect contents # * pos is the current mouse cursor position if lock_aspect_ratio is None: lock_aspect_ratio = self.lock_aspect_ratio auto = self.autoReplot() self.setAutoReplot(False) dx = (-1,) + dx # adding direction to tuple dx dy = (1,) + dy # adding direction to tuple dy if lock_aspect_ratio: direction, x1, x0, start, width = dx F = 1 + 3 * direction * float(x1 - x0) / width axes_to_update = self.__get_axes_to_update(dx, dy) for (direction, x1, x0, start, width), axis_id in axes_to_update: lbound, hbound = self.get_axis_limits(axis_id) if not lock_aspect_ratio: F = 1 + 3 * direction * float(x1 - x0) / width if F * (hbound - lbound) == 0: continue if self.get_axis_scale(axis_id) in ("lin", "datetime"): orig = self.invTransform(axis_id, start) vmin = orig - F * (orig - lbound) vmax = orig + F * (hbound - orig) else: # log scale i_lbound = self.transform(axis_id, lbound) i_hbound = self.transform(axis_id, hbound) imin = start - F * (start - i_lbound) imax = start + F * (i_hbound - start) vmin = self.invTransform(axis_id, imin) vmax = self.invTransform(axis_id, imax) self.set_axis_limits(axis_id, vmin, vmax) self.setAutoReplot(auto) if replot: self.replot() else: self.updateAxes() # the signal MUST be emitted after replot, otherwise # we receiver won't see the new bounds (don't know why?) self.SIG_PLOT_AXIS_CHANGED.emit(self) def do_zoom_rect_view(self, start: QC.QPointF, end: QC.QPointF) -> None: """ Zoom to rectangle defined by start and end points Args: start (QPointF): the start point end (QPointF): the end point """ # TODO: Implement the case when axes are synchronised x1, y1 = start.x(), start.y() x2, y2 = end.x(), end.y() xaxis, yaxis = self.get_active_axes() active_axes = [(x1, x2, xaxis), (y1, y2, yaxis)] for h1, h2, k in active_axes: o1 = self.invTransform(k, h1) o2 = self.invTransform(k, h2) if o1 > o2: o1, o2 = o2, o1 if o1 == o2: continue if self.get_axis_direction(k): o1, o2 = o2, o1 self.setAxisScale(k, o1, o2) self.replot() self.SIG_PLOT_AXIS_CHANGED.emit(self) if self.lock_aspect_ratio: self.apply_aspect_ratio() def get_default_item(self) -> itf.IBasePlotItem | None: """Return default item, depending on plot's default item type (e.g. for a curve plot, this is a curve item type). Return nothing if there is more than one item matching the default item type. Returns: IBasePlotItem: the default item """ if self.options.type == PlotType.IMAGE: items = self.get_items(item_type=itf.IImageItemType) elif self.options.type == PlotType.CURVE: items = self.get_items(item_type=itf.ICurveItemType) else: items = [ item for item in self.items if itf.IImageItemType in item.types() or itf.ICurveItemType in item.types() ] if len(items) == 1: return items[0] # ---- QWidget API --------------------------------------------------------- def mouseDoubleClickEvent(self, event: QG.QMouseEvent) -> None: """Reimplement QWidget method""" for axis_id in self.AXIS_IDS: widget = self.axisWidget(axis_id) if widget.geometry().contains(event.pos()): self.edit_axis_parameters(axis_id) break else: qwt.QwtPlot.mouseDoubleClickEvent(self, event) # ---- QwtPlot API --------------------------------------------------------- def showEvent(self, event) -> None: """Reimplement Qwt method""" if self.lock_aspect_ratio: self._start_autoscaled = True qwt.QwtPlot.showEvent(self, event) if self._start_autoscaled: self.do_autoscale() def resizeEvent(self, event): """Reimplement Qt method to resize widget""" qwt.QwtPlot.resizeEvent(self, event) if self.lock_aspect_ratio: self.apply_aspect_ratio() self.replot() # ---- Public API ---------------------------------------------------------- def _move_selected_items_together( self, item: itf.IBasePlotItem, x0: float, y0: float, x1: float, y1: float ) -> None: """Selected items move together Args: item (IBasePlotItem): the item x0 (float): the old x position y0 (float): the old y position x1 (float): the new x position y1 (float): the new y position """ for selitem in self.get_selected_items(): if selitem is not item and selitem.can_move(): selitem.move_with_selection(x1 - x0, y1 - y0) def _resize_selected_items_together( self, item: itf.IBasePlotItem, zoom_dx: float, zoom_dy: float ) -> None: """Selected items resize together Args: item (IBasePlotItem): the item zoom_dx (float): the zoom factor along the x axis zoom_dy (float): the zoom factor along the y axis """ for selitem in self.get_selected_items(): if ( selitem is not item and selitem.can_resize() and itf.IBaseImageItem in selitem.__implements__ ): if zoom_dx != 0 or zoom_dy != 0: selitem.resize_with_selection(zoom_dx, zoom_dy) def _rotate_selected_items_together( self, item: itf.IBasePlotItem, angle: float ) -> None: """Selected items rotate together Args: item (IBasePlotItem): the item angle (float): the new angle (in radians) """ for selitem in self.get_selected_items(): if ( selitem is not item and selitem.can_rotate() and itf.IBaseImageItem in selitem.__implements__ ): selitem.rotate_with_selection(angle) def set_manager(self, manager: PlotManager, plot_id: int) -> None: """Set the associated :py:class:`.plot.manager.PlotManager` instance Args: manager (PlotManager): the manager plot_id (int): the plot id """ self.manager = manager self.plot_id = plot_id def sizeHint(self) -> QC.QSize: """Preferred size""" return QC.QSize(400, 300) def get_title(self) -> str: """Get plot title""" return str(self.title().text()) def set_title(self, title: str) -> None: """Set plot title Args: title (str): the title """ text = qwt.QwtText(title) text.setFont(self.font_title) self.setTitle(text) self.SIG_PLOT_LABELS_CHANGED.emit(self) def get_show_axes_tab(self) -> bool: """Get whether the axes tab is shown in the parameters dialog Returns: bool: True if the axes tab is shown """ return self.options.show_axes_tab def set_show_axes_tab(self, show: bool) -> None: """Set whether the axes tab is shown in the parameters dialog Args: show (bool): True to show the axes tab """ self.options.show_axes_tab = show def get_axis_id(self, axis_name: str | int) -> int: """Return axis ID from axis name If axis ID is passed directly, check the ID Args: axis_name (str | int): the axis name or ID Returns: int: the axis ID """ assert axis_name in self.AXIS_NAMES or axis_name in self.AXIS_IDS return self.AXIS_NAMES.get(axis_name, axis_name) def read_axes_styles(self, section: str, options: list[str, str, str, str]) -> None: """ Read axes styles from section and options (one option for each axis in the order left, right, bottom, top) Skip axis if option is None Args: section (str): the section options (list[str, str, str, str]): the options """ for prm, option in zip(self.axes_styles, options): if option is None: continue prm.read_config(CONF, section, option) self.update_all_axes_styles() def get_axis_title(self, axis_id: int) -> str: """Get axis title Args: axis_id (int): the axis id Returns: str: the axis title """ axis_id = self.get_axis_id(axis_id) return self.axes_styles[axis_id].title def set_axis_title(self, axis_id: int, text: str) -> None: """Set axis title Args: axis_id (int): the axis id text (str): the axis title """ axis_id = self.get_axis_id(axis_id) self.axes_styles[axis_id].title = text self.update_axis_style(axis_id) def get_axis_unit(self, axis_id: int) -> str: """Get axis unit Args: axis_id (int): the axis id Returns: str: the axis unit """ axis_id = self.get_axis_id(axis_id) return self.axes_styles[axis_id].unit def set_axis_unit(self, axis_id: int, text: str) -> None: """Set axis unit Args: axis_id (int): the axis id text (str): the axis unit """ axis_id = self.get_axis_id(axis_id) self.axes_styles[axis_id].unit = text self.update_axis_style(axis_id) def get_axis_font(self, axis_id: int) -> QG.QFont: """Get axis font Args: axis_id (int): the axis id Returns: QFont: the axis font """ axis_id = self.get_axis_id(axis_id) return self.axes_styles[axis_id].title_font.build_font() def set_axis_font(self, axis_id: int, font: QG.QFont) -> None: """Set axis font Args: axis_id (int): the axis id font (QFont): the axis font """ axis_id = self.get_axis_id(axis_id) self.axes_styles[axis_id].title_font.update_param(font) self.axes_styles[axis_id].ticks_font.update_param(font) self.update_axis_style(axis_id) def get_axis_color(self, axis_id: int) -> str: """Get axis color (color name, i.e. string) Args: axis_id (int): the axis id Returns: str: the axis color """ axis_id = self.get_axis_id(axis_id) return self.axes_styles[axis_id].color def set_axis_color(self, axis_id: int, color: str | QG.QColor) -> None: """ Set axis color Args: axis_id (int): the axis id color (str | QColor): the axis color """ axis_id = self.get_axis_id(axis_id) if isinstance(color, str): color = QG.QColor(color) self.axes_styles[axis_id].color = str(color.name()) self.update_axis_style(axis_id) def update_axis_style(self, axis_id: int) -> None: """Update axis style Args: axis_id (int): the axis id """ axis_id = self.get_axis_id(axis_id) style = self.axes_styles[axis_id] title_font = style.title_font.build_font() ticks_font = style.ticks_font.build_font() self.setAxisFont(axis_id, ticks_font) if style.title and style.unit: title = f"{style.title} ({style.unit})" elif style.title: title = style.title else: title = style.unit axis_text = self.axisTitle(axis_id) axis_text.setFont(title_font) axis_text.setText(title) axis_text.setColor(QG.QColor(style.color)) self.setAxisTitle(axis_id, axis_text) self.SIG_PLOT_LABELS_CHANGED.emit(self) def update_all_axes_styles(self) -> None: """Update all axes styles""" for axis_id in self.AXIS_IDS: self.update_axis_style(axis_id) def get_axis_limits(self, axis_id: int) -> tuple[float, float]: """Return axis limits (minimum and maximum values) Args: axis_id (int): the axis id Returns: tuple[float, float]: the axis limits """ axis_id = self.get_axis_id(axis_id) sdiv = self.axisScaleDiv(axis_id) return sdiv.lowerBound(), sdiv.upperBound() def set_axis_limits( self, axis_id: int, vmin: float, vmax: float, stepsize: int = 0 ) -> None: """Set axis limits (minimum and maximum values) and step size Args: axis_id (int): the axis id vmin (float): the minimum value vmax (float): the maximum value stepsize (int): the step size (optional, default=0) """ axis_id = self.get_axis_id(axis_id) vmin, vmax = sorted([vmin, vmax]) if self.get_axis_direction(axis_id): self.setAxisScale(axis_id, vmax, vmin, stepsize) else: self.setAxisScale(axis_id, vmin, vmax, stepsize) self._start_autoscaled = False def set_axis_ticks( self, axis_id: int, nmajor: int | None = None, nminor: int | None = None ) -> None: """Set axis maximum number of major ticks and maximum of minor ticks Args: axis_id (int): the axis id nmajor (int): the maximum number of major ticks nminor (int): the maximum number of minor ticks """ axis_id = self.get_axis_id(axis_id) if nmajor is not None: self.setAxisMaxMajor(axis_id, nmajor) if nminor is not None: self.setAxisMaxMinor(axis_id, nminor) def get_axis_scale(self, axis_id: int) -> str: """Return the name ('lin', 'log', or 'datetime') of the scale used by axis Args: axis_id (int): the axis id Returns: str: the axis scale """ axis_id = self.get_axis_id(axis_id) engine = self.axisScaleEngine(axis_id) # Check for most specific types first, since datetime inherits from linear if isinstance(engine, self.AXIS_TYPES["datetime"]): return "datetime" elif isinstance(engine, self.AXIS_TYPES["log"]): return "log" elif isinstance(engine, self.AXIS_TYPES["lin"]): return "lin" else: return "lin" # unknown default to linear def set_axis_scale(self, axis_id: int, scale: str, autoscale: bool = True) -> None: """Set axis scale Args: axis_id (int): the axis id scale (str): the axis scale ('lin', 'log', or 'datetime') autoscale (bool): autoscale the axis (optional, default=True) Example: self.set_axis_scale(curve.yAxis(), 'lin') self.set_axis_scale('bottom', 'datetime') # For time series data """ axis_id = self.get_axis_id(axis_id) scale_engine = self.AXIS_TYPES[scale]() if scale != self.get_axis_scale(axis_id): if scale == "datetime": self.setAxisScaleDraw(axis_id, qwt.QwtDateTimeScaleDraw()) else: self.setAxisScaleDraw(axis_id, qwt.QwtScaleDraw()) self.setAxisScaleEngine(axis_id, scale_engine) if autoscale: self.do_autoscale(replot=False) def get_scales(self) -> tuple[str, str]: """Return active curve scales Example: self.get_scales() -> ('lin', 'lin')""" ax, ay = self.get_active_axes() return self.get_axis_scale(ax), self.get_axis_scale(ay) def set_scales(self, xscale: str, yscale: str) -> None: """Set active curve scales Args: xscale (str): the x axis scale ('lin', 'log' or 'datetime') yscale (str): the y axis scale ('lin' or 'log') Example: self.set_scales('lin', 'lin')""" ax, ay = self.get_active_axes() self.set_axis_scale(ax, xscale) self.set_axis_scale(ay, yscale) self.replot() def set_axis_datetime( self, axis_id: int | str, format: str = "%Y-%m-%d %H:%M:%S", rotate: float = -45, spacing: int = 4, ) -> None: """Configure an axis to display datetime labels This method sets up an axis to display Unix timestamps as formatted date/time strings. Args: axis_id: Axis ID (constants.Y_LEFT, constants.X_BOTTOM, ...) or string: 'bottom', 'left', 'top' or 'right' format: Format string for datetime display (default: "%Y-%m-%d %H:%M:%S"). Uses Python datetime.strftime() format codes. rotate: Rotation angle for labels in degrees (default: -45) spacing: Spacing between labels (default: 4) Examples: >>> # Enable datetime on x-axis with default format >>> plot.set_axis_datetime("bottom") >>> # Enable datetime with time only >>> plot.set_axis_datetime("bottom", format="%H:%M:%S") >>> # Enable datetime with date only, no rotation >>> plot.set_axis_datetime("bottom", format="%Y-%m-%d", rotate=0) """ axis_id = self.get_axis_id(axis_id) scale_draw = qwt.QwtDateTimeScaleDraw(format=format, spacing=spacing) self.setAxisScaleDraw(axis_id, scale_draw) scale_engine = qwt.QwtDateTimeScaleEngine() self.setAxisScaleEngine(axis_id, scale_engine) if rotate != 0: self.setAxisLabelRotation(axis_id, rotate) if rotate < 0: self.setAxisLabelAlignment(axis_id, QC.Qt.AlignLeft | QC.Qt.AlignBottom) else: self.setAxisLabelAlignment( axis_id, QC.Qt.AlignRight | QC.Qt.AlignBottom ) self.do_autoscale() def set_axis_limits_from_datetime( self, axis_id: int | str, dt_min: datetime, dt_max: datetime, stepsize: int = 0, ) -> None: """Set axis limits using datetime objects This is a convenience method to set axis limits for datetime axes without manually converting datetime objects to Unix timestamps. Args: axis_id: Axis ID (constants.Y_LEFT, constants.X_BOTTOM, ...) or string: 'bottom', 'left', 'top' or 'right' dt_min: Minimum datetime value dt_max: Maximum datetime value stepsize: The step size (optional, default=0) Examples: >>> from datetime import datetime >>> # Set x-axis limits to a specific date range >>> dt1 = datetime(2025, 10, 7, 10, 0, 0) >>> dt2 = datetime(2025, 10, 7, 18, 0, 0) >>> plot.set_axis_limits_from_datetime("bottom", dt1, dt2) """ if not isinstance(dt_min, datetime) or not isinstance(dt_max, datetime): raise TypeError("dt_min and dt_max must be datetime objects") # Convert datetime objects to Unix timestamps epoch = datetime(1970, 1, 1) timestamp_min = (dt_min - epoch).total_seconds() timestamp_max = (dt_max - epoch).total_seconds() # Set the axis limits using the timestamps self.set_axis_limits(axis_id, timestamp_min, timestamp_max, stepsize) def get_autoscale_margin_percent(self) -> float: """Get autoscale margin percentage Returns: float: the autoscale margin percentage """ return self.autoscale_margin_percent def set_autoscale_margin_percent(self, margin_percent: float) -> None: """Set autoscale margin percentage Args: margin_percent (float): the autoscale margin percentage (0-50) Raises: ValueError: if margin_percent is not in valid range """ if margin_percent < 0: raise ValueError("autoscale_margin_percent must be non-negative") if margin_percent > 50: raise ValueError("autoscale_margin_percent must be <= 50%") self.autoscale_margin_percent = margin_percent # Trigger an autoscale to apply the new margin immediately self.do_autoscale(replot=True) def enable_used_axes(self): """ Enable only used axes For now, this is needed only by the pyplot interface """ for axis in self.AXIS_IDS: self.enableAxis(axis, True) self.disable_unused_axes() def disable_unused_axes(self): """Disable unused axes""" used_axes = set() has_image = False if self.options.type == PlotType.IMAGE or self.options.force_colorbar_enabled: has_image = True for item in self.get_items(): used_axes.add(item.xAxis()) used_axes.add(item.yAxis()) if not has_image and isinstance(item, BaseImageItem): has_image = True unused_axes = set(self.AXIS_IDS) - set(used_axes) for axis in unused_axes: self.enableAxis(axis, False) if has_image: self.enableAxis(self.colormap_axis) def get_items( self, z_sorted: bool = False, item_type: type[itf.IItemType | itf.IBasePlotItem] | None = None, ) -> list[itf.IBasePlotItem]: """Return widget's item list (items are based on IBasePlotItem's interface) Args: z_sorted (bool): sort items by z order (optional, default=False) item_type (IItemType): the item type (optional, default=None) Returns: list[IBasePlotItem]: the item list """ if z_sorted: items = sorted(self.items, reverse=True, key=lambda x: x.z()) else: items = self.items if item_type is None: return items else: assert issubclass(item_type, itf.IItemType) return [item for item in items if item_type in item.types()] def get_public_items( self, z_sorted: bool = False, item_type: itf.IBasePlotItem | None = None ) -> list[itf.IBasePlotItem]: """Return widget's public item list (items are based on IBasePlotItem's interface) Args: z_sorted (bool): sort items by z order (optional, default=False) item_type (IItemType): the item type (optional, default=None) Returns: list[IBasePlotItem]: the item list """ return [ item for item in self.get_items(z_sorted=z_sorted, item_type=item_type) if not item.is_private() ] def get_private_items( self, z_sorted: bool = False, item_type: itf.IBasePlotItem | None = None ) -> list[itf.IBasePlotItem]: """Return widget's private item list (items are based on IBasePlotItem's interface) Args: z_sorted (bool): sort items by z order (optional, default=False) item_type (IItemType): the item type (optional, default=None) Returns: list[IBasePlotItem]: the item list """ return [ item for item in self.get_items(z_sorted=z_sorted, item_type=item_type) if item.is_private() ] def copy_to_clipboard(self) -> None: """Copy widget's window to clipboard""" clipboard = QW.QApplication.clipboard() pixmap = self.grab() clipboard.setPixmap(pixmap) def save_widget(self, fname: str) -> None: """Grab widget's window and save it to filename (/*.png, /*.pdf) Args: fname (str): the filename """ fname = str(fname) if fname.lower().endswith(".pdf"): printer = QPrinter() printer.setOutputFormat(QPrinter.OutputFormat.PdfFormat) printer.setPageOrientation(QG.QPageLayout.Landscape) printer.setOutputFileName(fname) printer.setCreator("plotpy") self.print_(printer) elif fname.lower().endswith(".png"): pixmap = self.grab() pixmap.save(fname, "PNG") else: raise RuntimeError(_("Unknown file extension")) def get_selected_items( self, z_sorted=False, item_type: itf.IBasePlotItem | None = None ) -> list[itf.IBasePlotItem]: """Return selected items Args: z_sorted (bool): sort items by z order (optional, default=False) item_type (IItemType): the item type (optional, default=None) Returns: list[IBasePlotItem]: the selected items """ return [ item for item in self.get_items(item_type=item_type, z_sorted=z_sorted) if item.selected ] def get_max_z(self) -> int: """ Return maximum z-order for all items registered in plot If there is no item, return 0 Returns: int: the maximum z-order """ if self.items: return max([_it.z() for _it in self.items]) else: return 0 def add_item( self, item: itf.IBasePlotItem, z: int | None = None, autoscale: bool = True ) -> None: """ Add a plot item instance to this plot widget Args: item (IBasePlotItem): the item z (int): the z order (optional, default=None) autoscale (bool): autoscale the plot (optional, default=True) """ if not hasattr(item, "__implements__"): raise TypeError("item must implement IBasePlotItem interface") assert itf.IBasePlotItem in item.__implements__ if isinstance(item, qwt.QwtPlotCurve): item.setRenderHint(qwt.QwtPlotItem.RenderAntialiased, self.antialiased) item.attach(self) if z is not None: z_exists = False for _it in self.get_items(): if z == _it.z(): z_exists = True break if z_exists: for _it in self.get_items(): if _it.z() > z: _it.setZ(_it.z() + 1) z += 1 item.setZ(z) else: item.setZ(self.get_max_z() + 1) if item in self.items: print( "Warning: item %r is already attached to plot" % item, file=sys.stderr ) else: self.items.append(item) # PlotType handling when adding the first CurveItem or ImageItem if ( self.__autoLockAspectRatio or self.__autoYReverse or self.__autoColorBarEnabled ): is_curve = isinstance(item, CurveItem) is_image = isinstance(item, BaseImageItem) if is_curve or is_image: if self.__autoYReverse: if is_image: self.set_axis_direction("left", True) self.__autoYReverse = False if self.__autoLockAspectRatio: if is_image: self.set_aspect_ratio(lock=True) self.__autoLockAspectRatio = False if self.__autoColorBarEnabled: if is_image: self.axisWidget(self.colormap_axis).setColorBarEnabled(True) self.enableAxis(self.colormap_axis) self.__autoColorBarEnabled = False self.SIG_ITEMS_CHANGED.emit(self) if isinstance(item, BaseImageItem): parent = self.parentWidget() if parent is not None: parent.setUpdatesEnabled(False) self.update_colormap_axis(item) if autoscale: self.do_autoscale() if parent is not None: parent.setUpdatesEnabled(True) def add_item_with_z_offset(self, item: itf.IBasePlotItem, zoffset: int) -> None: """ Add a plot item instance within a specified z range, over an offset Args: item (IBasePlotItem): the item zoffset (int): the z offset """ zlist = sorted( [_it.z() for _it in self.items if _it.z() >= zoffset] + [zoffset - 1] ) dzlist = np.argwhere(np.diff(zlist) > 1).flatten() if len(dzlist) == 0: z = max(zlist) + 1 else: z = zlist[int(dzlist[0])] + 1 self.add_item(item, z=z) def __clean_item_references(self, item: itf.IBasePlotItem) -> None: """Remove all reference to this item (active, last_selected Args: item (IBasePlotItem): the item """ if item is self.active_item: self.active_item: qwt.QwtPlotItem = None self._active_xaxis = self.DEFAULT_ACTIVE_XAXIS self._active_yaxis = self.DEFAULT_ACTIVE_YAXIS for key, it in list(self.last_selected.items()): if item is it: del self.last_selected[key] def del_items(self, items: list[itf.IBasePlotItem]) -> None: """Remove item from widget Args: items (list[IBasePlotItem]): the items """ items = items[:] # copy the list to avoid side effects when we empty it active_item = self.get_active_item() while items: item = items.pop() item.detach() # raises ValueError if item not in list self.items.remove(item) self.__clean_item_references(item) self.SIG_ITEM_REMOVED.emit(item) self.SIG_ITEMS_CHANGED.emit(self) if active_item is not self.get_active_item(): self.SIG_ACTIVE_ITEM_CHANGED.emit(self) def del_item(self, item: itf.IBasePlotItem) -> None: """ Remove item from widget Convenience function (see 'del_items') Args: item (IBasePlotItem): the item """ try: self.del_items([item]) except ValueError: raise ValueError("item not in plot") def set_item_visible( self, item: itf.IBasePlotItem, state: bool, notify: bool = True, replot: bool = True, ) -> None: """Show/hide *item* and emit a SIG_ITEMS_CHANGED signal Args: item (IBasePlotItem): the item state (bool): the visibility state notify (bool): notify the item list (optional, default=True) replot (bool): replot the widget (optional, default=True) """ item.setVisible(state) if item is self.active_item and not state: self.set_active_item(None) # Notify the item list (see baseplot) if notify: self.SIG_ITEMS_CHANGED.emit(self) if replot: self.replot() def __set_items_visible( self, state: bool, items: list[itf.IBasePlotItem] | None = None, item_type: itf.IBasePlotItem | None = None, ) -> None: """Show/hide items (if *items* is None, show/hide all items) Args: state (bool): the visibility state items (list[IBasePlotItem]): the items (optional, default=None) item_type (IBasePlotItem): the item type (optional, default=None) """ if items is None: items = self.get_items(item_type=item_type) for item in items: self.set_item_visible(item, state, notify=False, replot=False) self.SIG_ITEMS_CHANGED.emit(self) self.replot() def show_items( self, items: list[itf.IBasePlotItem] | None = None, item_type: itf.IBasePlotItem | None = None, ) -> None: """Show items (if *items* is None, show all items) Args: items (list[IBasePlotItem]): the items (optional, default=None) item_type (IBasePlotItem): the item type (optional, default=None) """ self.__set_items_visible(True, items, item_type=item_type) def hide_items( self, items: list[itf.IBasePlotItem] | None = None, item_type: itf.IBasePlotItem | None = None, ) -> None: """Hide items (if *items* is None, hide all items) Args: items (list[IBasePlotItem]): the items (optional, default=None) item_type (IBasePlotItem): the item type (optional, default=None) """ self.__set_items_visible(False, items, item_type=item_type) def save_items(self, iofile: str | IO[str], selected: bool = False) -> None: """ Save (serializable) items to file using the :py:mod:`pickle` protocol Args: iofile (str | IO[str]): the file object or filename selected (bool): if True, will save only selected items (optional, default=False) See also :py:meth:`.BasePlot.restore_items` """ if selected: items = self.get_selected_items() else: items = self.items[:] items = [item for item in items if itf.ISerializableType in item.types()] pickle.dump(items, iofile) def restore_items(self, iofile: str | IO[str]) -> None: """ Restore items from file using the :py:mod:`pickle` protocol Args: iofile (str | IO[str]): the file object or filename See also :py:meth:`.BasePlot.save_items` """ items = pickle.load(iofile) for item in items: self.add_item(item) def serialize( self, writer: guidata.io.HDF5Writer | guidata.io.INIWriter | guidata.io.JSONWriter, ) -> None: """Serialize object to HDF5 writer Args: writer: HDF5, INI or JSON writer See also :py:meth:`.BasePlot.restore_items` """ items = [item for item in self.items if itf.ISerializableType in item.types()] io.save_items(writer, items) def deserialize( self, reader: guidata.io.HDF5Reader | guidata.io.INIReader | guidata.io.JSONReader, ) -> None: """Deserialize object from HDF5 reader Args: reader: HDF5, INI or JSON reader See also :py:meth:`.BasePlot.save_items` """ for item in io.load_items(reader): self.add_item(item) def set_items(self, *args: itf.IBasePlotItem) -> None: """Utility function used to quickly setup a plot with a set of items Args: args: the items Example: self.set_items(item1, item2, item3) """ self.del_all_items() for item in args: self.add_item(item) def del_all_items(self, except_grid: bool = True) -> None: """Del all items, eventually (default) except grid Args: except_grid (bool): if True, don't delete grid (optional, default=True) """ items = [ item for item in self.items if not except_grid or item is not self.grid ] self.del_items(items) def __swap_items_z(self, item1: qwt.QwtPlotItem, item2: qwt.QwtPlotItem) -> None: """Swap items z-order Args: item1 (QwtPlotItem): the first item item2 (QwtPlotItem): the second item """ old_item1_z, old_item2_z = item1.z(), item2.z() item1.setZ(max([_it.z() for _it in self.items]) + 1) item2.setZ(old_item1_z) item1.setZ(old_item2_z) def move_up(self, item_list: list[itf.IBasePlotItem] | itf.IBasePlotItem) -> bool: """Move item(s) up, i.e. to the foreground (swap item with the next item in z-order) Args: item_list (list[IBasePlotItem] | IBasePlotItem): the item(s) Returns: bool: True if items have been moved effectively """ objects = self.get_items(z_sorted=True) items = sorted(list(item_list), reverse=True, key=lambda x: objects.index(x)) changed = False if objects.index(items[-1]) > 0: for item in items: index = objects.index(item) self.__swap_items_z(item, objects[index - 1]) changed = True if changed: self.SIG_ITEMS_CHANGED.emit(self) return changed def move_down(self, item_list: list[itf.IBasePlotItem] | itf.IBasePlotItem) -> bool: """Move item(s) down, i.e. to the background (swap item with the previous item in z-order) Args: item_list (list[IBasePlotItem] | IBasePlotItem): the item(s) Returns: bool: True if items have been moved effectively """ objects = self.get_items(z_sorted=True) items = sorted(list(item_list), reverse=False, key=lambda x: objects.index(x)) changed = False if objects.index(items[-1]) < len(objects) - 1: for item in items: index = objects.index(item) self.__swap_items_z(item, objects[index + 1]) changed = True if changed: self.SIG_ITEMS_CHANGED.emit(self) return changed def set_items_readonly(self, state: bool) -> None: """Set all items readonly state to *state* Default item's readonly state: False (items may be deleted) Args: state (bool): the readonly state """ for item in self.get_items(): item.set_readonly(state) self.SIG_ITEMS_CHANGED.emit(self) def select_item(self, item: itf.IBasePlotItem) -> None: """Select item Args: item (IBasePlotItem): the item """ item.select() for itype in item.types(): self.last_selected[itype] = item self.SIG_ITEM_SELECTION_CHANGED.emit(self) def unselect_item(self, item: itf.IBasePlotItem) -> None: """Unselect item Args: item (IBasePlotItem): the item """ item.unselect() self.SIG_ITEM_SELECTION_CHANGED.emit(self) def get_last_active_item( self, item_type: type[itf.IItemType] ) -> itf.IBasePlotItem | None: """Return last active item corresponding to passed `item_type` Args: item_type (IItemType): the item type Returns: IBasePlotItem: the item """ assert issubclass(item_type, itf.IItemType) return self.last_selected.get(item_type) def select_all(self) -> None: """Select all selectable items""" last_item = None block = self.blockSignals(True) for item in self.items: if item.can_select(): self.select_item(item) last_item = item self.blockSignals(block) self.SIG_ITEM_SELECTION_CHANGED.emit(self) self.set_active_item(last_item) def unselect_all(self) -> None: """Unselect all selected items""" for item in self.items: if item.can_select(): item.unselect() self.set_active_item(None) self.SIG_ITEM_SELECTION_CHANGED.emit(self) def select_some_items(self, items: list[itf.IBasePlotItem]) -> None: """Select items Args: items (list[IBasePlotItem]): the items """ active = self.active_item block = self.blockSignals(True) self.unselect_all() if items: new_active_item = items[-1] else: new_active_item = None for item in items: self.select_item(item) if active is item: new_active_item = item self.set_active_item(new_active_item) self.blockSignals(block) if new_active_item is not active: # if the new selection doesn't include the # previously active item self.SIG_ACTIVE_ITEM_CHANGED.emit(self) self.SIG_ITEM_SELECTION_CHANGED.emit(self) def set_active_item(self, item: itf.IBasePlotItem, select: bool = True) -> None: """Set active item, and unselect the old active item. For CurveItems, the grid axes are changed according to the selected item Args: item: the item select: select item after setting it as active (optional, default=True) """ old_active = self.active_item self.active_item = item if self.active_item is not None: if not item.selected: self.select_item(self.active_item) self._active_xaxis = item.xAxis() self._active_yaxis = item.yAxis() self.SIG_ACTIVE_ITEM_CHANGED.emit(self) if item is not None and old_active is not item: if isinstance(item, CurveItem): self.grid.setAxes(item.xAxis(), item.yAxis()) elif isinstance(item, BaseImageItem): self.update_colormap_axis(item) if not select and item is not None: self.unselect_item(item) def get_active_axes(self) -> tuple[int, int]: """Return active axes Returns: tuple[int, int]: the active axes IDs """ item = self.active_item if item is not None: self._active_xaxis = item.xAxis() self._active_yaxis = item.yAxis() return self._active_xaxis, self._active_yaxis def get_active_item(self, force: bool = False) -> itf.IBasePlotItem | None: """ Return active item Force item activation if there is no active item Args: force (bool): force item activation (optional, default=False) Returns: IBasePlotItem: the active item or None """ if force and not self.active_item: for item in self.get_items(): if item.can_select(): self.set_active_item(item) break return self.active_item def get_nearest_object( self, pos: QC.QPointF, close_dist: int = 0 ) -> tuple[itf.IBasePlotItem | None, float, int | None, bool]: """ Return nearest item from position 'pos' Args: pos (QPointF): the position close_dist (int): the distance (optional, default=0) Returns: tuple[IBasePlotItem | None, float, int | None, bool]: the nearest item If close_dist > 0: Return the first found item (higher z) which distance to 'pos' is less than close_dist else: Return the closest item """ selobj, distance, inside, handle = None, sys.maxsize, None, None for obj in self.get_items(z_sorted=True): if not obj.isVisible() or not obj.can_select(): continue d, _handle, _inside, other = obj.hit_test(pos) if d < distance: selobj, distance, handle, inside = obj, d, _handle, _inside if d < close_dist: break if other is not None: # e.g. LegendBoxItem: selecting a curve ('other') instead of # legend box ('obj') return other, 0, None, True return selobj, distance, handle, inside def get_nearest_object_in_z( self, pos: QC.QPointF ) -> tuple[itf.IBasePlotItem | None, int, bool | None, int | None]: """ Return nearest item for which position 'pos' is inside of it (iterate over items with respect to their 'z' coordinate) Args: pos (QPointF): the position Returns: tuple[IBasePlotItem | None, int, bool | None, int | None]: the nearest item """ selobj, distance, inside, handle = None, sys.maxsize, None, None for obj in self.get_items(z_sorted=True): if not obj.isVisible() or not obj.can_select(): continue d, _handle, _inside, _other = obj.hit_test(pos) if _inside: selobj, distance, handle, inside = obj, d, _handle, _inside break return selobj, distance, handle, inside def get_context_menu(self) -> QW.QMenu: """Return widget context menu Returns: QMenu: the context menu """ return self.manager.get_context_menu(self) def get_plot_parameters_status(self, key: str) -> bool: """ Return True if the plot parameters are available Args: key (str): the parameter key Returns: bool: True if the plot parameters are available """ if key == "item": return self.get_active_item() is not None else: return True def get_selected_item_parameters(self, itemparams: ItemParameters) -> None: """ Return a list of DataSets for selected items parameters the datasets will be edited and passed back to set_plot_parameters Args: itemparams (ItemParameters): the item parameters """ for item in self.get_selected_items(): item.get_item_parameters(itemparams) # Retrieving active_item's parameters after every other item: # this way, the common datasets will be based on its parameters active_item = self.get_active_item() active_item.get_item_parameters(itemparams) def get_axesparam_class(self, item: itf.IBasePlotItem) -> AxesParam: """Return AxesParam dataset class associated to item's type Args: item (IBasePlotItem): the item Returns: AxesParam: the AxesParam dataset class """ if isinstance(item, BaseImageItem): return ImageAxesParam else: return AxesParam def get_plot_parameters(self, key: str, itemparams: ItemParameters) -> None: """ Return a list of DataSets for a given parameter key the datasets will be edited and passed back to set_plot_parameters this is a generic interface to help building context menus using the BasePlotMenuTool Args: key (str): the parameter key itemparams (ItemParameters): the item parameters """ if key == "axes": for i, axeparam in enumerate(self.axes_styles): itemparams.add(f"AxeStyleParam{i}", self, axeparam) elif key == "grid": self.grid.gridparam.update_param(self.grid) itemparams.add("GridParam", self, self.grid.gridparam) elif key == "item": active_item = self.get_active_item() if not active_item: return self.get_selected_item_parameters(itemparams) if self.get_show_axes_tab(): Param = self.get_axesparam_class(active_item) axesparam = Param( title=_("Axes"), icon="lin_lin.png", comment=_("Axes associated to selected item"), ) axesparam.update_param(active_item) itemparams.add("AxesParam", self, axesparam) def set_item_parameters(self, itemparams: ItemParameters) -> None: """Set item (plot, here) parameters Args: itemparams (ItemParameters): the item parameters """ # Grid style dataset = itemparams.get("GridParam") if dataset is not None: dataset.update_grid(self.grid) self.grid.gridparam = dataset # Axe styles datasets = [itemparams.get(f"AxeStyleParam{i}") for i in range(4)] if datasets[0] is not None: self.axes_styles = datasets self.update_all_axes_styles() # Changing active item's associated axes dataset = itemparams.get("AxesParam") if dataset is not None: active_item = self.get_active_item() if active_item is not None: # active_item may be None when dealing with non-selectable items only dataset.update_item(active_item) def edit_plot_parameters(self, key: str) -> None: """ Edit plot parameters Args: key (str): the parameter key """ multiselection = len(self.get_selected_items()) > 1 itemparams = ItemParameters(multiselection=multiselection) self.get_plot_parameters(key, itemparams) title, icon = PARAMETERS_TITLE_ICON[key] itemparams.edit(self, title, icon) def edit_axis_parameters(self, axis_id: int) -> None: """Edit axis parameters Args: axis_id (int): the axis ID """ if axis_id != self.colormap_axis: if axis_id in (cst.Y_LEFT, cst.Y_RIGHT): title = _("Y Axis") else: title = _("X Axis") param = AxisParam(title=title) param.update_param(self, axis_id) if param.edit(parent=self): param.update_axis(self, axis_id) self.replot() def add_autoscale_types(self, item_types: tuple[type]) -> None: """ Add item types to autoscale list Args: item_types (tuple[type]): the item types """ self.AUTOSCALE_TYPES += item_types def add_autoscale_excludes(self, items: list[itf.IBasePlotItem]) -> None: """Add items to autoscale excludes list Args: items (list[IBasePlotItem]): the items """ current_list = self.get_auto_scale_excludes() for item in items: if item not in current_list: self.__autoscale_excluded_items.append(weakref.ref(item)) def remove_autoscale_excludes(self, items: list[itf.IBasePlotItem]) -> None: """Remove items from autoscale excludes list Args: items (list[IBasePlotItem]): the items """ current_list = self.get_auto_scale_excludes() for item in items: if item in current_list: self.__autoscale_excluded_items.remove(weakref.ref(item)) def get_auto_scale_excludes(self) -> list[itf.IBasePlotItem]: """Return autoscale excludes Returns: list[IBasePlotItem]: the items """ # Update the list of excluded items, removing the items that have been # deleted since the last call to this method self.__autoscale_excluded_items = [ item_ref for item_ref in self.__autoscale_excluded_items if item_ref() is not None ] return [item_ref() for item_ref in self.__autoscale_excluded_items] def get_axis_autoscale_strategy( self, axis_id: int ) -> tuple[str, float | None, float | None]: """Return the autoscale strategy configured for a given axis. Args: axis_id: the axis ID Returns: A 3-tuple ``(strategy, vmin, vmax)`` where ``strategy`` is one of ``"auto"``, ``"fixed"`` or ``"none"``. ``vmin``/``vmax`` are the user-defined bounds applied when ``strategy == "fixed"`` (``None`` otherwise). """ return self._axis_autoscale_strategy.get(axis_id, ("auto", None, None)) def set_axis_autoscale_strategy( self, axis_id: int, strategy: str, vmin: float | None = None, vmax: float | None = None, ) -> None: """Set the autoscale strategy for a given axis. Args: axis_id: the axis ID strategy: one of ``"auto"`` (compute bounds from items, current behavior), ``"fixed"`` (apply ``vmin``/``vmax``) or ``"none"`` (leave the axis untouched on autoscale) vmin: lower bound applied when ``strategy == "fixed"`` vmax: upper bound applied when ``strategy == "fixed"`` """ if strategy not in ("auto", "fixed", "none"): raise ValueError( f"Invalid autoscale strategy {strategy!r}: " "expected one of 'auto', 'fixed', 'none'" ) self._axis_autoscale_strategy[axis_id] = (strategy, vmin, vmax) def do_autoscale(self, replot: bool = True, axis_id: int | None = None) -> None: """Do autoscale on all axes The behavior of each axis depends on its autoscale strategy (see :py:meth:`set_axis_autoscale_strategy`): ``"auto"`` computes bounds from items (default), ``"fixed"`` applies the configured ``vmin``/``vmax`` and ``"none"`` leaves the axis untouched. Args: replot (bool): replot the widget (optional, default=True) axis_id (int | None): the axis ID (optional, default=None) """ auto = self.autoReplot() self.setAutoReplot(False) # TODO: Implement the case when axes are synchronised for axis_id in self.AXIS_IDS if axis_id is None else [axis_id]: vmin, vmax = None, None if not self.axisEnabled(axis_id): continue strategy, fixed_vmin, fixed_vmax = self.get_axis_autoscale_strategy(axis_id) if strategy == "none": continue if strategy == "fixed": if fixed_vmin is None or fixed_vmax is None: continue self.set_axis_limits(axis_id, fixed_vmin, fixed_vmax) continue for item in self.get_items(): if ( isinstance(item, self.AUTOSCALE_TYPES) and not item.is_empty() and item.isVisible() and item not in self.get_auto_scale_excludes() ): bounds = item.boundingRect() if axis_id == item.xAxis(): xmin, xmax = bounds.left(), bounds.right() if vmin is None or xmin < vmin: vmin = xmin if vmax is None or xmax > vmax: vmax = xmax elif axis_id == item.yAxis(): ymin, ymax = bounds.top(), bounds.bottom() if vmin is None or ymin < vmin: vmin = ymin if vmax is None or ymax > vmax: vmax = ymax if vmin is None or vmax is None: continue if vmin == vmax: # same behavior as MATLAB vmin -= 1 vmax += 1 elif self.get_axis_scale(axis_id) == "lin": dv = vmax - vmin margin = self.autoscale_margin_percent / 100.0 vmin -= margin * dv vmax += margin * dv elif vmin > 0 and vmax > 0: # log scale dv = np.log10(vmax) - np.log10(vmin) margin = self.autoscale_margin_percent / 100.0 vmin = 10 ** (np.log10(vmin) - margin * dv) vmax = 10 ** (np.log10(vmax) + margin * dv) self.set_axis_limits(axis_id, vmin, vmax) self.setAutoReplot(auto) self.updateAxes() if self.lock_aspect_ratio: self.apply_aspect_ratio(full_scale=True) if replot: self.replot() self.SIG_PLOT_AXIS_CHANGED.emit(self) def disable_autoscale(self) -> None: """Re-apply the axis scales so as to disable autoscaling without changing the view""" for axis_id in self.AXIS_IDS: vmin, vmax = self.get_axis_limits(axis_id) self.set_axis_limits(axis_id, vmin, vmax) def invalidate(self) -> None: """Invalidate paint cache and schedule redraw use instead of replot when only the content of the canvas needs redrawing (axes, shouldn't change) """ self.canvas().replot() self.update() def get_axis_direction(self, axis_id: int | str) -> bool: """ Return axis direction of increasing values Args: axis_id: axis id (constants.Y_LEFT, constants.X_BOTTOM, ...) or string: 'bottom', 'left', 'top' or 'right' Returns: False (default) """ axis_id = self.get_axis_id(axis_id) return self.axes_reverse[axis_id] def set_axis_direction(self, axis_id: int | str, reverse: bool = False) -> None: """ Set axis direction of increasing values Args: axis_id: axis id (constants.Y_LEFT, constants.X_BOTTOM, ...) or string: 'bottom', 'left', 'top' or 'right' reverse (bool): False (default) If reverse is False: - x-axis values increase from left to right - y-axis values increase from bottom to top If reverse is True: - x-axis values increase from right to left - y-axis values increase from top to bottom """ axis_id = self.get_axis_id(axis_id) if reverse != self.axes_reverse[axis_id]: self.replot() self.axes_reverse[axis_id] = reverse axis_map = self.canvasMap(axis_id) self.setAxisScale(axis_id, axis_map.s2(), axis_map.s1()) self.updateAxes() self.SIG_AXIS_DIRECTION_CHANGED.emit(self, axis_id) def set_titles( self, title: str | None = None, xlabel: str | tuple[str, str] | None = None, ylabel: str | tuple[str, str] | None = None, xunit: str | tuple[str, str] | None = None, yunit: str | tuple[str, str] | None = None, ) -> None: """ Set plot and axes titles at once Args: title (str): plot title xlabel (str | tuple[str, str]): (bottom axis title, top axis title) or bottom axis title only ylabel (str | tuple[str, str]): (left axis title, right axis title) or left axis title only xunit (str | tuple[str, str]): (bottom axis unit, top axis unit) or bottom axis unit only yunit (str | tuple[str, str]): (left axis unit, right axis unit) or left axis unit only """ if title is not None: self.set_title(title) if xlabel is not None: if isinstance(xlabel, str): xlabel = (xlabel, "") for label, axis in zip(xlabel, ("bottom", "top")): if label is not None: self.set_axis_title(axis, label) if ylabel is not None: if isinstance(ylabel, str): ylabel = (ylabel, "") for label, axis in zip(ylabel, ("left", "right")): if label is not None: self.set_axis_title(axis, label) if xunit is not None: if isinstance(xunit, str): xunit = (xunit, "") for unit, axis in zip(xunit, ("bottom", "top")): if unit is not None: self.set_axis_unit(axis, unit) if yunit is not None: if isinstance(yunit, str): yunit = (yunit, "") for unit, axis in zip(yunit, ("left", "right")): if unit is not None: self.set_axis_unit(axis, unit) def set_pointer(self, pointer_type: str | None) -> None: """ Set pointer. Args: pointer_type (str): pointer type (None, 'canvas', 'curve') Meaning of pointer_type: * None: disable pointer * 'canvas': enable canvas pointer * 'curve': enable on-curve pointer """ self.canvas_pointer = False self.curve_pointer = False if pointer_type == "canvas": self.canvas_pointer = True elif pointer_type == "curve": self.curve_pointer = True def set_antialiasing(self, checked: bool) -> None: """Toggle curve antialiasing Args: checked (bool): True to enable antialiasing """ self.antialiased = checked for curve in self.itemList(): if isinstance(curve, qwt.QwtPlotCurve): curve.setRenderHint(qwt.QwtPlotItem.RenderAntialiased, self.antialiased) def set_plot_limits( self, x0: float, x1: float, y0: float, y1: float, xaxis: str | int = "bottom", yaxis: str | int = "left", ) -> None: """Set plot scale limits Args: x0 (float): x min x1 (float): x max y0 (float): y min y1 (float): y max xaxis (str | int): x axis name or id (optional, default='bottom') yaxis (str | int): y axis name or id (optional, default='left') """ self.set_axis_limits(yaxis, y0, y1) self.set_axis_limits(xaxis, x0, x1) self.updateAxes() self.SIG_AXIS_DIRECTION_CHANGED.emit(self, self.get_axis_id(yaxis)) self.SIG_AXIS_DIRECTION_CHANGED.emit(self, self.get_axis_id(xaxis)) def get_plot_limits( self, xaxis: str | int = "bottom", yaxis: str | int = "left" ) -> tuple[float, float, float, float]: """Return plot scale limits Args: xaxis (str | int): x axis name or id (optional, default='bottom') yaxis (str | int): y axis name or id (optional, default='left') Returns: tuple[float, float, float, float]: x0, x1, y0, y1 """ x0, x1 = self.get_axis_limits(xaxis) y0, y1 = self.get_axis_limits(yaxis) return x0, x1, y0, y1 # ---- Image scale/aspect ratio -related API ------------------------------- def get_current_aspect_ratio(self) -> float | None: """Return current aspect ratio Returns: The current aspect ratio or None if the aspect ratio cannot be computed (this happens when the plot has been shrunk to a size so that the width is zero) """ dx = self.axisScaleDiv(cst.X_BOTTOM).range() dy = self.axisScaleDiv(cst.Y_LEFT).range() h = self.canvasMap(cst.Y_LEFT).pDist() w = self.canvasMap(cst.X_BOTTOM).pDist() try: return fabs((h * dx) / (w * dy)) except ZeroDivisionError: return None def get_aspect_ratio(self) -> float: """Return aspect ratio Returns: float: the aspect ratio """ return self.__aspect_ratio def set_aspect_ratio( self, ratio: float | None = None, lock: bool | None = None ) -> None: """Set aspect ratio Args: ratio (float): the aspect ratio (optional, default=None) lock (bool): lock aspect ratio (optional, default=None) """ if ratio is not None: self.__aspect_ratio = ratio if lock is not None: self.lock_aspect_ratio = lock self.apply_aspect_ratio() def apply_aspect_ratio(self, full_scale: bool = False) -> None: """ Apply aspect ratio Args: full_scale: if True, the aspect ratio is applied to the full scale (this argument is True only when doing autoscale, i.e. in method :py:meth:`do_autoscale`: it is necessary to ensure that the whole image items are visible after autoscale, whatever their aspect ratio) """ if not self.isVisible(): return current_aspect = self.get_current_aspect_ratio() if current_aspect is None or ( abs(current_aspect - self.__aspect_ratio) < self.EPSILON_ASPECT_RATIO ): return ymap = self.canvasMap(cst.Y_LEFT) xmap = self.canvasMap(cst.X_BOTTOM) h = ymap.pDist() w = xmap.pDist() dx1, dy1 = xmap.sDist(), fabs(ymap.sDist()) x0, y0 = xmap.s1(), ymap.s1() x1, y1 = xmap.s2(), ymap.s2() if x0 > x1: x0, x1 = x1, x0 if y0 > y1: y0, y1 = y1, y0 if w == 0 or h == 0: return # avoid division by zero # Compute new Y limits, keeping the same X limits and aspect ratio dy2 = (h * dx1) / (w * self.__aspect_ratio) # Compute new X limits, keeping the same Y limits and aspect ratio dx2 = (w * dy1 * self.__aspect_ratio) / h if full_scale and dy2 <= dy1: # If the new Y limits are smaller than the current ones, # *and* if we are doing autoscale, we keep the current Y limits. # Why? Because, if the new Y limits are smaller than the current ones, # it means that the image items would not be entirely visible after # autoscale, and we don't want that. delta_x = 0.5 * (dx2 - dx1) x0 -= delta_x x1 += delta_x else: # If we are not doing autoscale, then we only change the Y limits (that # is a choice, we could also change the X limits). # If we are doing autoscale, then we change the Y limits only if the # new Y limits are larger than the current ones, in order to ensure # that the image items are entirely visible after autoscale. delta_y = 0.5 * (dy2 - dy1) y0 -= delta_y y1 += delta_y self.set_plot_limits(x0, x1, y0, y1) # ---- LUT/colormap-related API -------------------------------------------- def notify_colormap_changed(self) -> None: """Levels histogram range has changed""" item = self.get_last_active_item(itf.IColormapImageItemType) if item is not None: self.update_colormap_axis(item) self.replot() self.SIG_LUT_CHANGED.emit(self) self.SIG_ACTIVE_ITEM_CHANGED.emit(self) def update_colormap_axis(self, item: itf.IColormapImageItemType) -> None: """ Update colormap axis Args: item (IColormapImageItemType): the item """ if itf.IColormapImageItemType not in item.types(): return zaxis = self.colormap_axis axiswidget: QwtScaleWidget = self.axisWidget(zaxis) self.setAxisScale(zaxis, item.min, item.max) # XXX: The colormap can't be displayed if min>max, to fix this # we should pass an inverted colormap along with _max, _min values axiswidget.setColorMap( qwt.QwtInterval(item.min, item.max), item.get_color_map() ) self.updateAxes() # # Keep this around to debug too many replots # def replot(self): # import traceback # traceback.print_stack() # qwt.QwtPlot.replot(self) @classmethod def register_autoscale_type(cls, type_): """Add *type_* to the list of types used to check if an item is taken into account to compute the scale. Class must defines the following methods: * is_empty(): returns True if the item is empty * boundingRect(): returns the bouding rect as a QRectF * isVisible(): returns True if item is visible * xAxis() and yAxis() """ cls.AUTOSCALE_TYPES += (type_,) # Register PolygonShape and annotated shape classes. # It's not possible to simply register AnnotatedShape class # because their is no warranty that SHAPE_CLASS implements all methods. BasePlot.register_autoscale_type(PolygonShape) BasePlot.register_autoscale_type(AnnotatedRectangle) BasePlot.register_autoscale_type(AnnotatedCircle) BasePlot.register_autoscale_type(AnnotatedEllipse) BasePlot.register_autoscale_type(AnnotatedObliqueRectangle) BasePlot.register_autoscale_type(AnnotatedSegment) BasePlot.register_autoscale_type(AnnotatedPoint) BasePlot.register_autoscale_type(AnnotatedPolygon) PlotPyStack-PlotPy-2af0906/plotpy/plot/interactive.py000066400000000000000000000523351525747167300227320ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Interactive plot ---------------- The `pyplot` module provides an interactive plotting interface similar to `Matplotlib`'s, i.e. with MATLAB-like syntax. """ import sys import guidata import numpy as np from guidata.configtools import get_icon from guidata.env import execenv from guidata.qthelpers import is_qobject_valid, win32_fix_title_bar_background from qtpy import QtCore as QC from qtpy import QtGui as QG from qtpy import QtWidgets as QW from qtpy.QtPrintSupport import QPrinter from plotpy import io from plotpy._scaler import INTERP_AA, INTERP_LINEAR, INTERP_NEAREST from plotpy.builder import make from plotpy.config import _ from plotpy.mathutils.colormap import ALL_COLORMAPS from plotpy.panels.contrastadjustment import ContrastAdjustment from plotpy.panels.csection.cswidget import XCrossSection, YCrossSection from plotpy.panels.itemlist import PlotItemList from plotpy.plot.base import BasePlot, BasePlotOptions from plotpy.plot.manager import PlotManager _qapp = None _interactive = False _figures = {} _current_fig = None _current_axes = None def create_qapplication(exec_loop=False): """Creating Qt application (only once) and eventually exec Qt main loop""" global _qapp # pylint: disable=global-statement if _qapp is None: _qapp = guidata.qapplication() if exec_loop and not execenv.unattended: _qapp.exec() class Window(QW.QMainWindow): """Figure window""" def __init__(self, title): super().__init__() win32_fix_title_bar_background(self) self.default_tool = None self.plots = [] self.itemlist = PlotItemList(None) self.contrast = ContrastAdjustment(None) self.xcsw = XCrossSection(None) self.ycsw = YCrossSection(None) self.manager = PlotManager(self) self.toolbar = QW.QToolBar(_("Tools"), self) self.manager.add_toolbar(self.toolbar, "default") self.toolbar.setMovable(True) self.toolbar.setFloatable(True) self.addToolBar(QC.Qt.TopToolBarArea, self.toolbar) frame = QW.QFrame(self) self.setCentralWidget(frame) self.layout = QW.QGridLayout() layout = QW.QVBoxLayout(frame) frame.setLayout(layout) layout.addLayout(self.layout) self.frame = frame self.setWindowTitle(title) self.setWindowIcon(get_icon("plotpy.svg")) def closeEvent(self, event): """Reimplementing QWidget.closeEvent :param event: """ global _figures, _current_fig, _current_axes figure_title = str(self.windowTitle()) if _figures.pop(figure_title) == _current_fig: _current_fig = None _current_axes = None for panel in (self.itemlist, self.contrast, self.xcsw, self.ycsw): if is_qobject_valid(panel): panel.close() event.accept() def add_plot(self, i, j, plot): """Add plot to window :param i: :param j: :param plot: """ i_int = int(i) j_int = int(j) self.layout.addWidget(plot, i_int, j_int) self.manager.add_plot(plot) self.plots.append(plot) def replot(self): """Replot all plots""" for plot in self.plots: plot.replot() item = plot.get_default_item() if item is not None: plot.set_active_item(item) item.unselect() def add_panels(self, images=False): """Add panels :param images: """ self.manager.add_panel(self.itemlist) if images: for panel in (self.ycsw, self.xcsw, self.contrast): panel.hide() self.manager.add_panel(panel) def register_tools(self, images=False): """Register tools :param images: """ if images: self.manager.register_all_image_tools() else: self.manager.register_all_curve_tools() def display(self): """Display window""" self.show() self.replot() self.manager.get_default_tool().activate() self.manager.update_tools_status() class Figure: """Object representing a figure""" def __init__(self, title): self.axes = {} self.title = title self.win = None def get_axes(self, i, j): """Get axes :param i: :param j: :return: """ if (i, j) in self.axes: return self.axes[(i, j)] ax = Axes() self.axes[(i, j)] = ax return ax def build_window(self): """Build window""" create_qapplication() self.win = Window(title=self.title) images = False for (i, j), ax in list(self.axes.items()): ax.setup_window(i, j, self.win) if ax.images: images = True self.win.add_panels(images=images) self.win.register_tools(images=images) def show(self): """Show window""" if not self.win: self.build_window() self.win.display() def save(self, fname, format, draft): """Save figure :param fname: :param format: :param draft: """ if isinstance(fname, str): if format == "pdf": try: mode = QPrinter.HighResolution except AttributeError: # Some PySide6 / PyQt6 versions do not have this attribute on Linux mode = QPrinter.ScreenResolution if draft: mode = QPrinter.ScreenResolution printer = QPrinter(mode) try: printer.setOutputFormat(QPrinter.PdfFormat) except AttributeError: # PyQt6 on Linux printer.setPrinterName("") printer.setPageOrientation(QG.QPageLayout.Landscape) printer.setOutputFileName(fname) printer.setCreator("plotpy.pyplot") self.print_(printer) else: if self.win is None: self.show() pixmap = self.win.centralWidget().grab() pixmap.save(fname, format.upper()) else: # Buffer fd = fname assert hasattr(fd, "write"), "object is not file-like as expected" if self.win is None: self.show() pixmap = self.win.centralWidget().grab() buff = QC.QBuffer() buff.open(QC.QIODevice.ReadWrite) pixmap.save(buff, format.upper()) fd.write(buff.data()) buff.close() fd.seek(0) def print_(self, device): """Print figure :param device: """ if not self.win: self.build_window() W = device.width() H = device.height() coords = np.array(list(self.axes.keys())) imin = coords[:, 0].min() imax = coords[:, 0].max() jmin = coords[:, 1].min() jmax = coords[:, 1].max() w = W / (jmax - jmin + 1) h = H / (imax - imin + 1) paint = QG.QPainter(device) try: for (i, j), ax in list(self.axes.items()): oy = (i - imin) * h ox = (j - jmin) * w ax.widget.print_(paint, QC.QRect(ox, oy, w, h)) finally: paint.end() class Axes: """Object handling plots, images and axes properties""" def __init__(self): self.plots = [] self.images = [] self.last = None self.legend_position = None self.grid = False self.xlabel = ("", "") self.ylabel = ("", "") self.xcolor = ("black", "black") # axis label colors self.ycolor = ("black", "black") # axis label colors self.zlabel = None self.yreverse = False self.colormap = "jet" self.xscale = "lin" self.yscale = "lin" self.xlimits = None self.ylimits = None self.widget = None self.main_widget = None def add_legend(self, position): """Add legend :param position: """ self.legend_position = position def set_grid(self, grid): """Set grid :param grid: """ self.grid = grid def set_xlim(self, xmin, xmax): """Set x limits :param xmin: :param xmax: """ self.xlimits = xmin, xmax self._update_plotwidget() def set_ylim(self, ymin, ymax): """Set y limits :param ymin: :param ymax: """ self.ylimits = ymin, ymax self._update_plotwidget() def add_plot(self, item): """Add plot :param item: """ self.plots.append(item) self.last = item def add_image(self, item): """Add image :param item: """ self.images.append(item) self.last = item def setup_window(self, i, j, win): """Setup window :param i: :param j: :param win: """ if self.images: plot = self.setup_image(i, j, win) else: plot = self.setup_plot(i, j, win) self.widget = plot plot.do_autoscale() self._update_plotwidget() def _update_plotwidget(self): """Update plot widget""" p = self.main_widget if p is None: return if self.grid: p.gridparam.maj_xenabled = True p.gridparam.maj_yenabled = True p.gridparam.update_grid(p) p.set_axis_color("bottom", self.xcolor[0]) p.set_axis_color("top", self.xcolor[1]) p.set_axis_color("left", self.ycolor[0]) p.set_axis_color("right", self.ycolor[1]) if self.xlimits is not None: p.set_axis_limits("bottom", *self.xlimits) if self.ylimits is not None: p.set_axis_limits("left", *self.ylimits) def setup_image(self, i, j, win: Window): """Setup image :param i: :param j: :param win: :return: """ options = BasePlotOptions( xlabel=self.xlabel, ylabel=self.ylabel, yreverse=self.yreverse, type="image", ) p = BasePlot(win, options=options) self.main_widget = p win.add_plot(i, j, p) for item in self.images + self.plots: if item in self.images: item.set_color_map(self.colormap) p.add_item(item) if self.legend_position is not None: p.add_item(make.legend(self.legend_position)) return p def setup_plot(self, i, j, win): """Setup plot :param i: :param j: :param win: :return: """ options = BasePlotOptions(xlabel=self.xlabel, ylabel=self.ylabel, type="curve") p = BasePlot(win, options=options) self.main_widget = p win.add_plot(i, j, p) for item in self.plots: p.add_item(item) p.enable_used_axes() active_item = p.get_active_item(force=True) p.set_scales(self.xscale, self.yscale) active_item.unselect() if self.legend_position is not None: p.add_item(make.legend(self.legend_position)) return p def _make_figure_title(N=None): """Make figure title""" global _figures if N is None: N = len(_figures) + 1 if isinstance(N, str): return N else: return f"Figure {N:d}" def figure(N=None): """Create a new figure""" global _figures, _current_fig, _current_axes title = _make_figure_title(N) if title in _figures: f = _figures[title] else: f = Figure(title) _figures[title] = f _current_fig = f _current_axes = None return f def gcf(): """Get current figure""" global _current_fig if _current_fig: return _current_fig else: return figure() def gca(): """Get current axes""" create_qapplication() # Necessary because of setIcon call during item creation global _current_axes if not _current_axes: axes = gcf().get_axes(1, 1) _current_axes = axes return _current_axes def show(mainloop=True): """ Show all figures and enter Qt event loop This should be the last line of your script """ global _figures, _interactive, _current_fig for fig in list(_figures.values()): fig.show() if not _interactive: if not _current_fig: print("Warning: must create a figure before showing it", file=sys.stderr) elif mainloop: create_qapplication(exec_loop=True) def _show_if_interactive(): """Show all figures if interactive mode is on""" global _interactive if _interactive: show() def subplot(n, m, k): """ Create a subplot command Example:: import numpy as np x = np.linspace(-5, 5, 1000) figure(1) subplot(2, 1, 1) plot(x, np.sin(x), "r+") subplot(2, 1, 2) plot(x, np.cos(x), "g-") show() """ global _current_axes lig = (k - 1) // m col = (k - 1) % m fig = gcf() axe = fig.get_axes(lig, col) _current_axes = axe return axe def plot(*args, **kwargs): """ Plot curves Example:: import numpy as np x = np.linspace(-5, 5, 1000) plot(x, np.sin(x), "r+") plot(x, np.cos(x), "g-") show() """ axe = gca() curves = make.mcurve(*args, **kwargs) if not isinstance(curves, list): curves = [curves] for curve in curves: axe.add_plot(curve) _show_if_interactive() return curves def plotyy(x1, y1, x2, y2): """ Plot curves with two different y axes Example:: import numpy as np x = np.linspace(-5, 5, 1000) plotyy(x, np.sin(x), x, np.cos(x)) ylabel("sine", "cosine") show() """ axe = gca() curve1 = make.mcurve(x1, y1, yaxis="left") curve2 = make.mcurve(x2, y2, yaxis="right") axe.ycolor = (curve1.param.line.color, curve2.param.line.color) axe.add_plot(curve1) axe.add_plot(curve2) _show_if_interactive() return [curve1, curve2] def hist(data, bins=None, logscale=None, title=None, color=None): """ Plot 1-D histogram Example:: from numpy.random import normal data = normal(0, 1, (2000, )) hist(data) show() """ axe = gca() curve = make.histogram( data, bins=bins, logscale=logscale, title=title, color=color, yaxis="left" ) axe.add_plot(curve) _show_if_interactive() return [curve] def semilogx(*args, **kwargs): """ Plot curves with logarithmic x-axis scale Example:: import numpy as np x = np.linspace(-5, 5, 1000) semilogx(x, np.sin(12*x), "g-") show() """ axe = gca() axe.xscale = "log" curve = make.mcurve(*args, **kwargs) axe.add_plot(curve) _show_if_interactive() return [curve] def semilogy(*args, **kwargs): """ Plot curves with logarithmic y-axis scale Example:: import numpy as np x = np.linspace(-5, 5, 1000) semilogy(x, np.sin(12*x), "g-") show() """ axe = gca() axe.yscale = "log" curve = make.mcurve(*args, **kwargs) axe.add_plot(curve) _show_if_interactive() return [curve] def loglog(*args, **kwargs): """ Plot curves with logarithmic x-axis and y-axis scales Example:: import numpy as np x = np.linspace(-5, 5, 1000) loglog(x, np.sin(12*x), "g-") show() """ axe = gca() axe.xscale = "log" axe.yscale = "log" curve = make.mcurve(*args, **kwargs) axe.add_plot(curve) _show_if_interactive() return [curve] def errorbar(*args, **kwargs): """ Plot curves with error bars Example:: import numpy as np x = np.linspace(-5, 5, 1000) errorbar(x, -1+x**2/20+.2*np.random.rand(len(x)), x/20) show() """ axe = gca() curve = make.merror(*args, **kwargs) axe.add_plot(curve) _show_if_interactive() return [curve] def imread(fname, to_grayscale=False): """Read data from *fname*""" return io.imread(fname, to_grayscale=to_grayscale) def imshow(data, interpolation=None, mask=None): """ Display the image in *data* to current axes interpolation: 'nearest', 'linear' (default), 'antialiasing' Example:: import numpy as np x = np.linspace(-5, 5, 1000) img = np.fromfunction(lambda x, y: np.sin((x/200.)*(y/200.)**2), (1000, 1000)) gray() imshow(img) show() """ axe = gca() if isinstance(data, np.ma.MaskedArray) and mask is None: mask = data.mask data = data.data if mask is None: img = make.image(data) else: img = make.maskedimage(data, mask, show_mask=True) if interpolation is not None: interp_dict = { "nearest": INTERP_NEAREST, "linear": INTERP_LINEAR, "antialiasing": INTERP_AA, } assert interpolation in interp_dict, "invalid interpolation option" img.set_interpolation(interp_dict[interpolation], size=5) axe.add_image(img) axe.yreverse = True _show_if_interactive() return [img] def pcolor(*args): """ Create a pseudocolor plot of a 2-D array Example:: import numpy as np r = np.linspace(1., 16, 100) th = np.linspace(0., np.pi, 100) R, TH = np.meshgrid(r, th) X = R*np.cos(TH) Y = R*np.sin(TH) Z = 4*TH+R pcolor(X, Y, Z) show() """ axe = gca() img = make.pcolor(*args) axe.add_image(img) axe.yreverse = len(args) == 1 _show_if_interactive() return [img] def quiver(x, y, u, v, **kwargs): """ Create a quiver (vector field) plot Example:: import numpy as np x = np.linspace(-2, 2, 15) y = np.linspace(-2, 2, 15) X, Y = np.meshgrid(x, y) U, V = -Y, X quiver(X, Y, U, V, color="blue") show() """ axe = gca() item = make.quiver(x, y, u, v, **kwargs) axe.add_plot(item) _show_if_interactive() return [item] def interactive(state): """Toggle interactive mode""" global _interactive _interactive = state def ion(): """Turn interactive mode on""" interactive(True) def ioff(): """Turn interactive mode off""" interactive(False) # TODO: The following functions (title, xlabel, ...) should update an already # shown figure to be compatible with interactive mode -- for now it just # works if these functions are called before showing the figure def title(text): """Set current figure title""" global _figures fig = gcf() _figures.pop(fig.title) fig.title = text _figures[text] = fig def xlabel(bottom="", top=""): """Set current x-axis label""" assert isinstance(bottom, str) and isinstance(top, str) axe = gca() axe.xlabel = (bottom, top) def ylabel(left="", right=""): """Set current y-axis label""" assert isinstance(left, str) and isinstance(right, str) axe = gca() axe.ylabel = (left, right) def zlabel(label): """Set current z-axis label""" assert isinstance(label, str) axe = gca() axe.zlabel = label def yreverse(reverse): """ Set y-axis direction of increasing values reverse = False (default) y-axis values increase from bottom to top reverse = True y-axis values increase from top to bottom """ assert isinstance(reverse, bool) axe = gca() axe.yreverse = reverse def grid(act): """Toggle grid visibility""" axe = gca() axe.set_grid(act) def legend(pos="TR"): """Add legend to current axes (pos='TR', 'TL', 'BR', ...)""" axe = gca() axe.add_legend(pos) def colormap(name): """Set color map to *name*""" axe = gca() axe.colormap = name def _add_colormaps(glbs): """Add colormap functions to *glbs*""" for cmap_name in ALL_COLORMAPS.keys(): glbs[cmap_name] = lambda name=cmap_name: colormap(name) glbs[cmap_name].__doc__ = "Set color map to '%s'" % cmap_name _add_colormaps(globals()) def close(N=None, all=False): """Close figure""" global _figures, _current_fig, _current_axes if all: _figures = {} _current_fig = None _current_axes = None return if N is None: fig = gcf() else: fig = figure(N) fig.close() def savefig(fname, format=None): """ Save figure Currently supports QImageWriter formats only (see https://doc.qt.io/qt-5/qimagewriter.html#supportedImageFormats) """ if not isinstance(fname, str) and format is None: # Buffer/fd format = "png" if format is None: format = fname.rsplit(".", 1)[-1].lower() fmts = [fmt.data().decode() for fmt in QG.QImageWriter.supportedImageFormats()] assert format in fmts, _( "Function 'savefig' currently supports the following formats:\n%s" ) % ", ".join(fmts) else: format = format.lower() fig = gcf() fig.save(fname, format) PlotPyStack-PlotPy-2af0906/plotpy/plot/manager.py000066400000000000000000000607661525747167300220360ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import weakref from typing import TYPE_CHECKING, Any from guidata.qthelpers import create_action from guidata.utils.misc import assert_interfaces_valid from qtpy import QtCore as QC from qtpy import QtWidgets as QW from plotpy.constants import ID_CONTRAST, ID_ITEMLIST, ID_XCS, ID_YCS from plotpy.interfaces import IPlotManager from plotpy.plot import BasePlot if TYPE_CHECKING: from typing import Callable from qtpy.QtCore import Qt from qtpy.QtGui import QIcon, QKeySequence from qwt import QwtPlotCanvas, QwtScaleDiv from plotpy.panels import ( ContrastAdjustment, PanelWidget, PlotItemList, XCrossSection, YCrossSection, ) from plotpy.tools.base import GuiTool, GuiToolT class DefaultPlotID: pass class PlotManager: """ Construct a PlotManager object, a 'controller' that organizes relations between plots (:py:class:`.BasePlot`), panels, tools and toolbars Args: main (QWidget): The main parent widget """ __implements__ = (IPlotManager,) def __init__(self, main: QW.QWidget) -> None: self.main = main # The main parent widget self.plots = {} # maps ids to instances of BasePlot self.panels = {} # Qt widgets that need to know about the plots self.tools = [] self.toolbars = {} self.active_tool = None self.default_tool = None self.default_plot = None self.default_toolbar = None self.synchronized_plots = {} self.groups = {} # Action groups for grouping QActions # Keep track of the registration sequence (plots, panels, tools): self._first_tool_flag = True def add_plot(self, plot: BasePlot, plot_id: Any = DefaultPlotID) -> None: """ Register a plot to the plot manager: * plot: :py:class:`.BasePlot` * plot_id (default id is the plot object's id: ``id(plot)``): unique ID identifying the plot (any Python object), this ID will be asked by the manager to access this plot later. Plot manager's registration sequence is the following: 1. add plots 2. add panels 3. add tools """ if plot_id is DefaultPlotID: plot_id = id(plot) assert plot_id not in self.plots assert isinstance(plot, BasePlot) assert not self.tools, "tools must be added after plots" assert not self.panels, "panels must be added after plots" self.plots[plot_id] = plot if len(self.plots) == 1: self.default_plot = plot plot.set_manager(self, plot_id) # Connecting signals plot.SIG_ITEMS_CHANGED.connect(self.update_tools_status) plot.SIG_ACTIVE_ITEM_CHANGED.connect(self.update_tools_status) plot.SIG_PLOT_AXIS_CHANGED.connect(self.plot_axis_changed) def set_default_plot(self, plot: BasePlot) -> None: """ Set default plot The default plot is the plot on which tools and panels will act. """ self.default_plot = plot def get_default_plot(self) -> BasePlot: """ Return default plot The default plot is the plot on which tools and panels will act. """ return self.default_plot def add_panel(self, panel: PanelWidget) -> None: """ Register a panel to the plot manager Plot manager's registration sequence is the following: 1. add plots 2. add panels 3. add tools """ assert panel.PANEL_ID not in self.panels assert not self.tools, "tools must be added after panels" self.panels[panel.PANEL_ID] = panel panel.register_panel(self) def configure_panels(self) -> None: """ Call all the registred panels 'configure_panel' methods to finalize the object construction (this allows to use tools registered to the same plot manager as the panel itself with breaking the registration sequence: "add plots, then panels, then tools") """ for panel_id in self.panels: panel = self.get_panel(panel_id) panel.configure_panel() def add_toolbar(self, toolbar: QW.QToolBar, toolbar_id: str = "default") -> None: """ Add toolbar to the plot manager toolbar: a QToolBar object toolbar_id: toolbar's id (default id is string "default") """ assert toolbar_id not in self.toolbars self.toolbars[toolbar_id] = toolbar if self.default_toolbar is None: self.default_toolbar = toolbar def set_default_toolbar(self, toolbar: QW.QToolBar) -> None: """ Set default toolbar """ self.default_toolbar = toolbar def get_default_toolbar(self) -> QW.QToolBar: """ Return default toolbar """ return self.default_toolbar def add_tool(self, ToolKlass: type[GuiToolT], *args, **kwargs) -> GuiToolT: """ Register a tool to the manager * ToolKlass: tool's class (see :ref:`tools`) * args: arguments sent to the tool's class * kwargs: keyword arguments sent to the tool's class Plot manager's registration sequence is the following: 1. add plots 2. add panels 3. add tools """ if self._first_tool_flag: # This is the very first tool to be added to this manager self._first_tool_flag = False self.configure_panels() tool = ToolKlass(self, *args, **kwargs) self.tools.append(tool) for plot in list(self.plots.values()): tool.register_plot(plot) if len(self.tools) == 1 or self.default_tool is None: self.default_tool = tool return tool def get_tool(self, ToolKlass: type[GuiToolT]) -> GuiToolT | None: """Return tool instance from its class Args: ToolKlass: tool's class (see :ref:`tools`) Returns: GuiTool: tool instance """ for tool in self.tools: if isinstance(tool, ToolKlass): return tool def add_separator_tool(self, toolbar_id: str | None = None) -> None: """ Register a separator tool to the plot manager: the separator tool is just a tool which insert a separator in the plot context menu Args: toolbar_id: toolbar's id (default to None) """ # This avoids circular imports (see Issue #39) # pylint: disable=import-outside-toplevel import plotpy.tools as tools if toolbar_id is None: for _id, toolbar in list(self.toolbars.items()): if toolbar is self.get_default_toolbar(): toolbar_id = _id break self.add_tool(tools.DummySeparatorTool, toolbar_id) def set_default_tool(self, tool: GuiTool) -> None: """ Set default tool Args: tool: tool instance """ self.default_tool = tool def get_default_tool(self) -> GuiTool: """ Get default tool Returns: GuiTool: tool instance """ return self.default_tool def activate_default_tool(self) -> None: """ Activate default tool """ self.get_default_tool().activate() def get_active_tool(self) -> GuiTool: """ Return active tool Returns: GuiTool: tool instance """ return self.active_tool def set_active_tool(self, tool: GuiTool | None = None) -> None: """ Set active tool (if tool argument is None, the active tool will be the default tool) Args: tool: tool instance or None """ self.active_tool = tool def get_plot(self, plot_id: Any = DefaultPlotID) -> BasePlot: """ Return plot associated to `plot_id` (if method is called without specifying the `plot_id` parameter, return the default plot) Args: plot_id: plot's id (optional, default to DefaultPlotID) """ if plot_id is DefaultPlotID: return self.default_plot return self.plots[plot_id] def get_plots(self) -> list[BasePlot]: """ Return all registered plots Returns: list[BasePlot]: list of plots """ return list(self.plots.values()) def get_active_plot(self) -> BasePlot: """ Return the active plot The active plot is the plot whose canvas has the focus otherwise it's the "default" plot Returns: BasePlot: plot instance """ for plot in list(self.plots.values()): canvas: QwtPlotCanvas = plot.canvas() if canvas.hasFocus(): return plot return self.default_plot def get_tool_group(self, groupname: str) -> QW.QActionGroup: """ Return the QActionGroup associated to `groupname` Args: groupname: group's name Returns: QActionGroup: action group """ group = self.groups.get(groupname, None) if group is None: group = QW.QActionGroup(self.main) self.groups[groupname] = weakref.ref(group) return group else: return group() def get_main(self) -> QW.QWidget: """ Return the main (parent) widget Note that for py:class:`.plot.PlotWidget` objects, this method will return the widget itself because the plot manager is integrated to it. Returns: QWidget: main widget """ return self.main def set_main(self, main: QW.QWidget) -> None: """ Set the main (parent) widget Args: main: main widget """ self.main = main def get_panel(self, panel_id: str) -> PanelWidget: """ Return panel from its ID Panel IDs are listed in module plotpy.panels Args: panel_id: panel's id Returns: PanelWidget: panel widget """ return self.panels.get(panel_id, None) def get_itemlist_panel(self) -> PlotItemList: """ Convenience function to get the `item list panel` Return None if the item list panel has not been added to this manager Returns: PlotItemList: item list panel """ return self.get_panel(ID_ITEMLIST) def get_contrast_panel(self) -> ContrastAdjustment: """ Convenience function to get the `contrast adjustment panel` Return None if the contrast adjustment panel has not been added to this manager """ return self.get_panel(ID_CONTRAST) def set_contrast_range(self, zmin: float, zmax: float) -> None: """ Convenience function to set the `contrast adjustment panel` range This is strictly equivalent to the following:: # Here, *widget* is for example a PlotWidget instance # (the same apply for PlotWidget or any # class deriving from PlotManager) widget.get_contrast_panel().set_range(zmin, zmax) Args: zmin: minimum value zmax: maximum value """ self.get_contrast_panel().set_range(zmin, zmax) def get_xcs_panel(self) -> XCrossSection: """ Convenience function to get the `X-axis cross section panel` Return None if the X-axis cross section panel has not been added to this manager Returns: XCrossSection: X-axis cross section panel """ return self.get_panel(ID_XCS) def get_ycs_panel(self) -> YCrossSection: """ Convenience function to get the `Y-axis cross section panel` Return None if the Y-axis cross section panel has not been added to this manager Returns: YCrossSection: Y-axis cross section panel """ return self.get_panel(ID_YCS) def update_cross_sections(self) -> None: """ Convenience function to update the `cross section panels` at once This is strictly equivalent to the following:: # Here, *widget* is for example a PlotWidget instance # (the same apply for any other class deriving from PlotManager) widget.get_xcs_panel().update_plot() widget.get_ycs_panel().update_plot() """ self.get_xcs_panel().update_plot() self.get_ycs_panel().update_plot() def get_toolbar(self, toolbar_id: str = "default") -> QW.QToolBar: """ Return toolbar from its ID Args: toolbar_id: toolbar's id (default id is string "default") Returns: QToolBar: toolbar """ return self.toolbars.get(toolbar_id, None) def get_context_menu(self, plot: BasePlot | None = None) -> QW.QMenu: """ Return widget context menu -- built using active tools Args: plot: plot instance (default to None) Returns: QMenu: context menu """ if plot is None: plot = self.get_plot() menu = QW.QMenu(plot) self.update_tools_status(plot) for tool in self.tools: tool.setup_context_menu(menu, plot) return menu def update_tools_status(self, plot: BasePlot | None = None) -> None: """ Update tools for current plot Args: plot: plot instance (default to None) """ if plot is None: plot = self.get_plot() for tool in self.tools: tool.update_status(plot) def create_action( self, title: str, triggered: Callable | None = None, toggled: Callable | None = None, shortcut: QKeySequence | None = None, icon: QIcon | None = None, tip: str | None = None, checkable: bool | None = None, context: Qt.ShortcutContext = QC.Qt.ShortcutContext.WindowShortcut, enabled: bool | None = None, ): """ Create a new QAction Args: parent (QWidget or None): Parent widget title (str): Action title triggered (Callable or None): Triggered callback toggled (Callable or None): Toggled callback shortcut (QKeySequence or None): Shortcut icon (QIcon or None): Icon tip (str or None): Tooltip checkable (bool or None): Checkable context (Qt.ShortcutContext): Shortcut context enabled (bool or None): Enabled Returns: QAction: New action """ return create_action( self.main, title, triggered=triggered, toggled=toggled, shortcut=shortcut, icon=icon, tip=tip, checkable=checkable, context=context, enabled=enabled, ) # The following methods provide some sets of tools that # are often registered together def register_standard_tools(self) -> None: """ Registering basic tools for standard plot dialog --> top of the context-menu """ # This avoids circular imports (see Issue #39) # pylint: disable=import-outside-toplevel import plotpy.tools as tools t = self.add_tool(tools.SelectTool) self.set_default_tool(t) self.add_tool(tools.RectangularSelectionTool, intersect=False) self.add_tool(tools.RectZoomTool) self.add_tool(tools.DoAutoscaleTool) self.add_tool(tools.BasePlotMenuTool, "item") self.add_tool(tools.ExportItemDataTool) self.add_tool(tools.EditItemDataTool) self.add_tool(tools.ItemCenterTool) self.add_tool(tools.DeleteItemTool) self.add_separator_tool() self.add_tool(tools.BasePlotMenuTool, "grid") self.add_tool(tools.BasePlotMenuTool, "axes") self.add_tool(tools.DisplayCoordsTool) if self.get_itemlist_panel(): self.add_tool(tools.ItemListPanelTool) def register_curve_tools(self) -> None: """ Register only curve-related tools .. seealso:: :py:meth:`.plot.manager.PlotManager.add_tool` :py:meth:`.plot.manager.PlotManager.register_standard_tools` :py:meth:`.plot.manager.PlotManager.register_other_tools` :py:meth:`.plot.manager.PlotManager.register_image_tools` :py:meth:`.plot.manager.PlotManager.register_all_tools` """ # This avoids circular imports (see Issue #39) # pylint: disable=import-outside-toplevel import plotpy.tools as tools self.add_tool(tools.CurveStatsTool) self.add_tool(tools.YRangeCursorTool) self.add_tool(tools.AntiAliasingTool) self.add_tool(tools.AxisScaleTool) self.add_tool(tools.DownSamplingTool) def register_image_tools(self) -> None: """ Register only image-related tools .. seealso:: :py:meth:`.plot.manager.PlotManager.add_tool` :py:meth:`.plot.manager.PlotManager.register_standard_tools` :py:meth:`.plot.manager.PlotManager.register_other_tools` :py:meth:`.plot.manager.PlotManager.register_curve_tools` :py:meth:`.plot.manager.PlotManager.register_all_tools` """ # This avoids circular imports (see Issue #39) # pylint: disable=import-outside-toplevel import plotpy.tools as tools self.add_tool(tools.ColormapTool) self.add_tool(tools.ReverseColormapTool) self.add_tool(tools.ReverseXAxisTool) self.add_tool(tools.ReverseYAxisTool) self.add_tool(tools.ZAxisLogTool) self.add_tool(tools.AspectRatioTool) if self.get_contrast_panel(): self.add_tool(tools.ContrastPanelTool) self.add_tool(tools.SnapshotTool) self.add_tool(tools.ImageStatsTool) if self.get_xcs_panel() and self.get_ycs_panel(): self.add_tool(tools.XCSPanelTool) self.add_tool(tools.YCSPanelTool) self.add_tool(tools.CrossSectionTool) self.add_tool(tools.AverageCrossSectionTool) def register_other_tools(self) -> None: """ Register other common tools .. seealso:: :py:meth:`.plot.manager.PlotManager.add_tool` :py:meth:`.plot.manager.PlotManager.register_standard_tools` :py:meth:`.plot.manager.PlotManager.register_curve_tools` :py:meth:`.plot.manager.PlotManager.register_image_tools` :py:meth:`.plot.manager.PlotManager.register_all_tools` """ # This avoids circular imports (see Issue #39) # pylint: disable=import-outside-toplevel import plotpy.tools as tools self.add_tool(tools.SaveAsTool) self.add_tool(tools.CopyToClipboardTool) self.add_tool(tools.PrintTool) self.add_tool(tools.HelpTool) self.add_tool(tools.AboutTool) def register_all_curve_tools(self) -> None: """ Register standard, curve-related and other tools .. seealso:: :py:meth:`.plot.manager.PlotManager.add_tool` :py:meth:`.plot.manager.PlotManager.register_standard_tools` :py:meth:`.plot.manager.PlotManager.register_other_tools` :py:meth:`.plot.manager.PlotManager.register_curve_tools` :py:meth:`.plot.manager.PlotManager.register_image_tools` :py:meth:`.plot.manager.PlotManager.register_all_image_tools` :py:meth:`.plot.manager.PlotManager.register_all_tools` """ self.register_standard_tools() self.add_separator_tool() self.register_curve_tools() self.add_separator_tool() self.register_other_tools() self.add_separator_tool() self.update_tools_status() self.get_default_tool().activate() def register_all_image_tools(self) -> None: """ Register standard, image-related and other tools .. seealso:: :py:meth:`.plot.manager.PlotManager.add_tool` :py:meth:`.plot.manager.PlotManager.register_standard_tools` :py:meth:`.plot.manager.PlotManager.register_other_tools` :py:meth:`.plot.manager.PlotManager.register_curve_tools` :py:meth:`.plot.manager.PlotManager.register_image_tools` :py:meth:`.plot.manager.PlotManager.register_all_curve_tools` :py:meth:`.plot.manager.PlotManager.register_all_tools` """ self.register_standard_tools() self.add_separator_tool() self.register_image_tools() self.add_separator_tool() self.register_other_tools() self.add_separator_tool() self.update_tools_status() self.get_default_tool().activate() def register_all_tools(self) -> None: """ Register standard, curve and image-related and other tools .. seealso:: :py:meth:`.plot.manager.PlotManager.add_tool` :py:meth:`.plot.manager.PlotManager.register_standard_tools` :py:meth:`.plot.manager.PlotManager.register_other_tools` :py:meth:`.plot.manager.PlotManager.register_curve_tools` :py:meth:`.plot.manager.PlotManager.register_image_tools` :py:meth:`.plot.manager.PlotManager.register_all_image_tools` :py:meth:`.plot.manager.PlotManager.register_all_curve_tools` """ self.register_standard_tools() self.add_separator_tool() self.register_curve_tools() self.add_separator_tool() self.register_image_tools() self.add_separator_tool() self.register_other_tools() self.add_separator_tool() self.update_tools_status() self.get_default_tool().activate() def register_all_annotation_tools(self) -> None: """ Register all annotation tools for the plot """ # This avoids circular imports (see Issue #39) # pylint: disable=import-outside-toplevel import plotpy.tools as tools self.add_separator_tool() self.add_tool(tools.AnnotatedPointTool) self.add_tool(tools.AnnotatedSegmentTool) self.add_tool(tools.AnnotatedRectangleTool) self.add_tool(tools.AnnotatedPolygonTool) self.add_tool(tools.AnnotatedObliqueRectangleTool) self.add_tool(tools.AnnotatedCircleTool) self.add_tool(tools.AnnotatedEllipseTool) self.add_tool(tools.LabelTool) def register_curve_annotation_tools(self) -> None: """ Register all curve friendly annotation tools for the plot """ # This avoids circular imports (see Issue #39) # pylint: disable=import-outside-toplevel import plotpy.tools as tools self.add_separator_tool() self.add_tool(tools.AnnotatedPointTool) self.add_tool(tools.AnnotatedSegmentTool) self.add_tool(tools.LabelTool) def register_image_annotation_tools(self) -> None: """ Register all image friendly annotation tools for the plot """ # No curve-specific annotation tool, so this is equivalent to the # register_all_annotation_tools function for now self.register_all_annotation_tools() def synchronize_axis(self, axis_id: int, plot_ids: list[str]) -> None: """ Synchronize axis of plots Args: axis_id: axis id plot_ids: list of plot ids """ for plot_id in plot_ids: synclist = self.synchronized_plots.setdefault(plot_id, []) for plot2_id in plot_ids: if plot_id == plot2_id: continue item = (axis_id, plot2_id) if item not in synclist: synclist.append(item) def plot_axis_changed(self, plot: BasePlot) -> None: """ Plot axis changed, update other synchronized plots (if any) Args: plot: plot instance """ plot_id = plot.plot_id if plot_id not in self.synchronized_plots: return for axis_id, other_plot_id in self.synchronized_plots[plot_id]: scalediv: QwtScaleDiv = plot.axisScaleDiv(axis_id) other_plot = self.get_plot(other_plot_id) lb = scalediv.lowerBound() ub = scalediv.upperBound() other_plot.setAxisScale(axis_id, lb, ub) other_plot.replot() assert_interfaces_valid(PlotManager) PlotPyStack-PlotPy-2af0906/plotpy/plot/plotwidget.py000066400000000000000000001151311525747167300225710ustar00rootroot00000000000000# -*- coding: utf-8 from __future__ import annotations import abc import warnings from dataclasses import dataclass from typing import TYPE_CHECKING, Any from guidata.configtools import get_icon from guidata.qthelpers import is_qobject_valid, win32_fix_title_bar_background from qtpy import QtCore as QC from qtpy import QtGui as QG from qtpy import QtWidgets as QW from qtpy.QtWidgets import QWidget # only to help intersphinx find QWidget from plotpy.config import _ from plotpy.constants import X_BOTTOM, Y_LEFT, PlotType from plotpy.plot.base import BasePlot, BasePlotOptions from plotpy.plot.manager import PlotManager if TYPE_CHECKING: from plotpy.panels.base import PanelWidget def configure_plot_splitter(qsplit: QW.QSplitter, decreasing_size: bool = True) -> None: """Configure a QSplitter for plot widgets Args: qsplit: QSplitter instance decreasing_size: Specify if child widgets can be resized down to size 0 by the user. Defaults to True. """ qsplit.setChildrenCollapsible(False) qsplit.setHandleWidth(4) if decreasing_size: qsplit.setStretchFactor(0, 1) qsplit.setStretchFactor(1, 0) qsplit.setSizes([2, 1]) else: qsplit.setStretchFactor(0, 0) qsplit.setStretchFactor(1, 1) qsplit.setSizes([1, 2]) @dataclass class PlotOptions(BasePlotOptions): """Plot options Args: title: The plot title xlabel: (bottom axis title, top axis title) or bottom axis title only ylabel: (left axis title, right axis title) or left axis title only zlabel: The Z-axis label xunit: (bottom axis unit, top axis unit) or bottom axis unit only yunit: (left axis unit, right axis unit) or left axis unit only zunit: The Z-axis unit yreverse: If True, the Y-axis is reversed aspect_ratio: The plot aspect ratio lock_aspect_ratio: If True, the aspect ratio is locked curve_antialiasing: If True, the curve antialiasing is enabled gridparam: The grid parameters section: The plot configuration section name ("plot", by default) type: The plot type ("auto", "manual", "curve" or "image") axes_synchronised: If True, the axes are synchronised force_colorbar_enabled: If True, the colorbar is always enabled no_image_analysis_widgets: If True, the image analysis widgets are not added show_contrast: If True, the contrast adjustment panel is visible show_itemlist: If True, the itemlist panel is visible show_xsection: If True, the X-axis cross section panel is visible show_ysection: If True, the Y-axis cross section panel is visible xsection_pos: The X-axis cross section panel position ("top" or "bottom") ysection_pos: The Y-axis cross section panel position ("left" or "right") """ no_image_analysis_widgets: bool = False show_contrast: bool = False show_itemlist: bool = False show_xsection: bool = False show_ysection: bool = False xsection_pos: str = "top" ysection_pos: str = "right" def __post_init__(self) -> None: """Check arguments""" super().__post_init__() # Check xsection_pos and ysection_pos if self.xsection_pos not in ["top", "bottom"]: raise ValueError("xsection_pos must be 'top' or 'bottom'") if self.ysection_pos not in ["left", "right"]: raise ValueError("ysection_pos must be 'left' or 'right'") # Show warning if no image analysis widgets is True and type is not manual if self.no_image_analysis_widgets and self.type != "manual": warnings.warn( "no_image_analysis_widgets is True but type is not 'manual' " "(option ignored)", RuntimeWarning, ) class BasePlotWidget(QW.QSplitter): """Base class for plot widgets This widget is a ``QSplitter`` that contains a plot, several panels and a toolbar. It also includes tools (as in the :py:mod:`.tools` module) for manipulating the plot, its items and its panels. All these elements are managed by a :py:class:`.PlotManager` object. The plot manager is accessible through the :py:attr:`.PlotWidget.manager` attribute. Args: parent: The parent widget options: Plot options """ def __init__( self, parent: QWidget = None, options: PlotOptions | dict[str, Any] | None = None, ) -> None: super().__init__(parent) self.manager: PlotManager | None = None if isinstance(options, dict): options = PlotOptions(**options) self.options = options = options if options is not None else PlotOptions() self.setSizePolicy(QW.QSizePolicy.Expanding, QW.QSizePolicy.Expanding) self.plot = self.create_plot() # Avoid circular import # pylint: disable=import-outside-toplevel from plotpy.panels.itemlist import PlotItemList self.itemlist = PlotItemList(self) self.itemlist.setVisible(options.show_itemlist) # For CURVE plots, or MANUAL plots with the ``no_image_analysis_widgets`` # option, don't add splitters and widgets dedicated to images since # they make the widget more "laggy" when resized. if options.type == PlotType.CURVE or ( options.type == PlotType.MANUAL and options.no_image_analysis_widgets ): self.__set_curve_layout() else: self.__set_image_layout() configure_plot_splitter(self) # ---- Private API ----------------------------------------------------------------- def __set_curve_layout(self) -> None: """Set the layout for curve only plots""" self.setOrientation(QC.Qt.Orientation.Horizontal) self.addWidget(self.plot) self.addWidget(self.itemlist) self.xcsw = None self.ycsw = None self.contrast = None def __set_image_layout(self) -> None: """Set the layout for image only plots""" self.setOrientation(QC.Qt.Orientation.Vertical) self.sub_splitter = QW.QSplitter(QC.Qt.Orientation.Horizontal, self) # Avoid circular import # pylint: disable=import-outside-toplevel from plotpy.panels.csection.cswidget import XCrossSection, YCrossSection self.ycsw = YCrossSection( self, position=self.options.ysection_pos, xsection_pos=self.options.xsection_pos, ) self.ycsw.setVisible(self.options.show_ysection) self.xcsw = XCrossSection(self) self.xcsw.setVisible(self.options.show_xsection) self.xcsw.SIG_VISIBILITY_CHANGED.connect(self.__xcsw_is_visible) self.xcsw.SIG_RESIZED.connect(self.__adjust_ycsw_height) self.xcsw_splitter = QW.QSplitter(QC.Qt.Orientation.Vertical, self) if self.options.xsection_pos == "top": self.xcsw_splitter.addWidget(self.xcsw) self.xcsw_splitter.addWidget(self.plot) else: self.xcsw_splitter.addWidget(self.plot) self.xcsw_splitter.addWidget(self.xcsw) self.ycsw_splitter = QW.QSplitter(QC.Qt.Orientation.Horizontal, self) if self.options.ysection_pos == "left": self.ycsw_splitter.addWidget(self.ycsw) self.ycsw_splitter.addWidget(self.xcsw_splitter) else: self.ycsw_splitter.addWidget(self.xcsw_splitter) self.ycsw_splitter.addWidget(self.ycsw) configure_plot_splitter( self.xcsw_splitter, decreasing_size=self.options.xsection_pos == "bottom" ) configure_plot_splitter( self.ycsw_splitter, decreasing_size=self.options.ysection_pos == "right" ) self.sub_splitter.addWidget(self.ycsw_splitter) self.sub_splitter.addWidget(self.itemlist) # Contrast adjustment (Levels histogram) # Avoid circular import # pylint: disable=import-outside-toplevel from plotpy.panels.contrastadjustment import ContrastAdjustment self.contrast = ContrastAdjustment(self) self.contrast.setVisible(self.options.show_contrast) self.addWidget(self.contrast) configure_plot_splitter(self.sub_splitter) def __adjust_ycsw_height(self, height: int | None = None) -> None: """Adjust the Y-axis cross section panel height Args: height: The height (in pixels) to set. If None, the height is adjusted to the current height of the widget. """ if height is None: height = self.xcsw.height() - self.ycsw.toolbar.height() self.ycsw.adjust_height(height) def __xcsw_is_visible(self, state: bool) -> None: """Callback when the X-axis cross section panel visibility changes Args: state: The new visibility state of the X-axis cross section panel """ if state: self.__adjust_ycsw_height() else: self.__adjust_ycsw_height(0) # ---- Public API ------------------------------------------------------------------ def create_plot(self) -> BasePlot: """Create the plot, which is the main widget of the base plot widget. In subclasses, this method can be overriden to create a custom plot object, as for example multiple plots in a grid layout.""" return BasePlot(parent=self, options=self.options) def add_panels_to_manager(self) -> None: """Add the panels to the plot manager Raises: RuntimeError: If the plot manager is not defined """ if self.manager is None: raise RuntimeError("Plot manager is not defined") self.manager.add_panel(self.itemlist) if self.xcsw is not None: self.manager.add_panel(self.xcsw) if self.ycsw is not None: self.manager.add_panel(self.ycsw) if self.contrast is not None: self.manager.add_panel(self.contrast) def register_tools(self) -> None: """Register the plotting tools according to the plot type Raises: RuntimeError: If the plot manager is not defined """ if self.manager is None: raise RuntimeError("Plot manager is not defined") if self.options.type == PlotType.CURVE: self.manager.register_all_curve_tools() elif self.options.type == PlotType.IMAGE: self.manager.register_all_image_tools() elif self.options.type == PlotType.AUTO: self.manager.register_all_tools() def register_annotation_tools(self) -> None: """Register the annotation tools according to the plot type Raises: RuntimeError: If the plot manager is not defined """ if self.manager is None: raise RuntimeError("Plot manager is not defined") if self.options.type == PlotType.CURVE: self.manager.register_curve_annotation_tools() elif self.options.type == PlotType.IMAGE: self.manager.register_image_annotation_tools() elif self.options.type == PlotType.AUTO: self.manager.register_all_annotation_tools() class PlotWidget(BasePlotWidget): """Plot widget with integrated plot manager, toolbar, tools and panels Args: parent: Parent widget toolbar: Show/hide toolbar options: Plot options panels: Additionnal panels auto_tools: If True, the plot tools are automatically registered. If False, the user must register the tools manually. """ def __init__( self, parent: QWidget | None = None, toolbar: bool = False, options: PlotOptions | dict[str, Any] | None = None, panels: tuple[PanelWidget] | None = None, auto_tools: bool = True, ) -> None: super().__init__(parent, options) self.manager = PlotManager(self) self.toolbar: QW.QToolBar | None = None self.configure_manager(panels, toolbar) if auto_tools: self.register_tools() # ---- Public API ------------------------------------------------------------------ def get_plot(self) -> BasePlot: """Return the plot object Returns: BasePlot: The plot object """ return self.plot def get_toolbar(self) -> QW.QToolBar: """Return main toolbar Returns: The plot widget main toolbar """ return self.toolbar def get_manager(self) -> PlotManager: """Return the plot manager Returns: The plot widget manager """ return self.manager def configure_manager( self, panels: tuple[PanelWidget] | None = None, toolbar: bool = True, ) -> None: """Configure the plot manager Args: panels: additionnal panels (list, tuple). Defaults to None. toolbar: [description]. Defaults to True. """ self.manager.add_plot(self.get_plot()) self.add_panels_to_manager() if panels is not None: for panel in panels: self.manager.add_panel(panel) self.toolbar = QW.QToolBar(_("Tools")) if toolbar: self.manager.add_toolbar(self.toolbar, "default") else: self.toolbar.hide() def set_widget_title_icon( widget: QWidget, title: str, icon: QG.QIcon, size: tuple[int, int] | None = None ) -> None: """Setups the widget title and icon Args: title: The window title icon: The window icon size: The window size (width, height). Defaults to None (no resize) """ win32_fix_title_bar_background(widget) widget.setWindowTitle(title) if isinstance(icon, str): icon = get_icon(icon) if icon is not None: widget.setWindowIcon(icon) widget.setMinimumSize(320, 240) if size is not None: widget.resize(*size) def add_widget_to_grid_layout( layout: QW.QGridLayout, widget: QWidget, row: int | None = None, column: int | None = None, rowspan: int | None = None, columnspan: int | None = None, ) -> None: """Add widget to the grid layout Args: layout: The layout widget: The widget to add row: The row index column: The column index rowspan: The row span columnspan: The column span If row, column, rowspan and columnspan are None, the widget is added to the grid layout after the previous one (i.e. same as the method addWidget without options). If row is not None, column must be not None and the widget is added to the grid layout at the specified row and column. If rowspan is not None, the widget is added to the grid layout with the specified row span. If columnspan is not None, the widget is added to the grid layout with the specified column span. """ if row is None and column is None and rowspan is None and columnspan is None: layout.addWidget(widget) else: if row is None or column is None: raise ValueError("row and column must be specified") if rowspan is None and columnspan is None: layout.addWidget(widget, row, column) elif rowspan is None: layout.addWidget(widget, row, column, 1, columnspan) elif columnspan is None: layout.addWidget(widget, row, column, rowspan, 1) else: layout.addWidget(widget, row, column, rowspan, columnspan) class AbstractPlotDialogWindow(abc.ABC): """Abstract base class for plot dialog and plot window""" @abc.abstractmethod def get_plot(self) -> BasePlot | None: """Return the plot object Returns: BasePlot: The plot object """ @abc.abstractmethod def get_toolbar(self) -> QW.QToolBar: """Return main toolbar Returns: The plot widget main toolbar """ @abc.abstractmethod def get_manager(self) -> PlotManager: """Return the plot manager Returns: The plot widget manager """ @abc.abstractmethod def setup_widget( self, toolbar: bool = False, options: PlotOptions | dict[str, Any] | None = None, panels: list[PanelWidget] | None = None, auto_tools: bool = False, ) -> None: """Setup the widget Args: toolbar: If True, the plot toolbar is displayed options: Plot options panels: The panels to add to the plot auto_tools: If True, the plot tools are automatically registered. If False, the user must register the tools manually. """ @abc.abstractmethod def add_widget( self, widget: QWidget, row: int | None = None, column: int | None = None, rowspan: int | None = None, columnspan: int | None = None, ) -> None: """Add widget to the widget main layout Args: widget: The widget to add row: The row index column: The column index rowspan: The row span columnspan: The column span """ @abc.abstractmethod def populate_plot_layout(self) -> None: """Populate the plot layout""" @abc.abstractmethod def setup_layout(self) -> None: """Setup the widget layout""" @abc.abstractmethod def register_tools(self): """ Register the plotting tools: the base implementation of this method register tools according to the plot type (curve, image, etc.) This method may be overriden to provide a fully customized set of tools """ @abc.abstractmethod def register_annotation_tools(self): """ Register the annotation tools: the base implementation of this method register tools according to the plot type (curve, image, etc.) This method may be overriden to provide a fully customized set of tools """ class PlotDialogMeta(type(QW.QDialog), abc.ABCMeta): """Mixed metaclass to avoid conflicts""" class PlotDialog(QW.QDialog, AbstractPlotDialogWindow, metaclass=PlotDialogMeta): """Plotting dialog box with integrated plot manager Args: parent: parent widget toolbar: show/hide toolbar options: plot options panels: additionnal panels auto_tools: If True, the plot tools are automatically registered. If False, the user must register the tools manually. title: The window title icon: The window icon edit: If True, the plot is editable size: The window size (width, height). Defaults to None (no resize) """ def __init__( self, parent: QWidget | None = None, toolbar: bool = False, options: PlotOptions | dict[str, Any] | None = None, panels: list[PanelWidget] | None = None, auto_tools: bool = True, title: str = "PlotPy", icon: str = "plotpy.svg", edit: bool = False, size: tuple[int, int] | None = None, ) -> None: super().__init__(parent) set_widget_title_icon(self, title, icon, size) self.edit = edit self.button_box = None self.button_layout = None self.plot_layout = QW.QGridLayout() self.plot_widget: PlotWidget = None self.manager: PlotManager = None self.setup_widget(toolbar, options, panels, auto_tools) self.setWindowFlags(QC.Qt.Window) def get_plot(self) -> BasePlot | None: """Return the plot object Returns: BasePlot: The plot object """ if self.plot_widget is not None: return self.plot_widget.get_plot() return None def get_toolbar(self) -> QW.QToolBar: """Return main toolbar Returns: The plot widget main toolbar """ if self.plot_widget is not None: return self.plot_widget.get_toolbar() return None def get_manager(self) -> PlotManager: """Return the plot manager Returns: The plot widget manager """ if self.plot_widget is not None: return self.plot_widget.get_manager() return None def setup_widget( self, toolbar: bool = False, options: PlotOptions | dict[str, Any] | None = None, panels: list[PanelWidget] | None = None, auto_tools: bool = False, ) -> None: """Setup the widget Args: toolbar: If True, the plot toolbar is displayed options: Plot options panels: The panels to add to the plot auto_tools: If True, the plot tools are automatically registered. If False, the user must register the tools manually. """ self.plot_widget = PlotWidget(self, toolbar, options, panels, auto_tools=False) self.manager = self.plot_widget.manager self.populate_plot_layout() self.setup_layout() if auto_tools: self.register_tools() def add_widget( self, widget: QWidget, row: int | None = None, column: int | None = None, rowspan: int | None = None, columnspan: int | None = None, ) -> None: """Add widget to the widget main layout Args: widget: The widget to add row: The row index column: The column index rowspan: The row span columnspan: The column span """ add_widget_to_grid_layout( self.plot_layout, widget, row, column, rowspan, columnspan ) def populate_plot_layout(self) -> None: """Populate the plot layout""" self.add_widget(self.plot_widget) def setup_layout(self) -> None: """Setup the widget layout""" vlayout = QW.QVBoxLayout(self) vlayout.addWidget(self.plot_widget.toolbar) vlayout.addLayout(self.plot_layout) self.setLayout(vlayout) if self.edit: self.button_layout = QW.QHBoxLayout() self.install_button_layout() vlayout.addLayout(self.button_layout) def install_button_layout(self) -> None: """Install standard buttons (OK, Cancel) in dialog button box layout This method may be overriden to customize the button box """ bbox = QW.QDialogButtonBox(QW.QDialogButtonBox.Ok | QW.QDialogButtonBox.Cancel) bbox.accepted.connect(self.accept) bbox.rejected.connect(self.reject) self.button_layout.addWidget(bbox) self.button_box = bbox def register_tools(self): """Register the plotting tools: the base implementation of this method register tools according to the plot type (curve, image, etc.) This method may be overriden to provide a fully customized set of tools """ self.plot_widget.register_tools() def register_annotation_tools(self): """Register the annotation tools: the base implementation of this method register tools according to the plot type (curve, image, etc.) This method may be overriden to provide a fully customized set of tools """ self.plot_widget.register_annotation_tools() class PlotWindowMeta(type(QW.QMainWindow), abc.ABCMeta): """Mixed metaclass to avoid conflicts""" class PlotWindow(QW.QMainWindow, AbstractPlotDialogWindow, metaclass=PlotWindowMeta): """Plotting window with integrated plot manager Args: parent: parent widget toolbar: show/hide toolbar options: plot options panels: additionnal panels auto_tools: If True, the plot tools are automatically registered. If False, the user must register the tools manually. title: The window title icon: The window icon size: The window size (width, height). Defaults to None (no resize) """ def __init__( self, parent: QWidget | None = None, toolbar: bool = False, options: PlotOptions | dict[str, Any] | None = None, panels: list[PanelWidget] | None = None, auto_tools: bool = True, title: str = "PlotPy", icon: str = "plotpy.svg", size: tuple[int, int] | None = None, ) -> None: super().__init__(parent) set_widget_title_icon(self, title, icon, size) self.plot_layout = QW.QGridLayout() self.plot_widget: PlotWidget = None self.manager: PlotManager = None self.setup_widget(toolbar, options, panels, auto_tools) def get_plot(self) -> BasePlot | None: """Return the plot object Returns: BasePlot: The plot object """ if self.plot_widget is not None: return self.plot_widget.get_plot() return None def get_toolbar(self) -> QW.QToolBar: """Return main toolbar Returns: The plot widget main toolbar """ if self.plot_widget is not None: return self.plot_widget.get_toolbar() return None def get_manager(self) -> PlotManager: """Return the plot manager Returns: The plot widget manager """ if self.plot_widget is not None: return self.plot_widget.get_manager() return None def setup_widget( self, toolbar: bool = False, options: PlotOptions | dict[str, Any] | None = None, panels: list[PanelWidget] | None = None, auto_tools: bool = False, ) -> None: """Setup the widget Args: toolbar: If True, the plot toolbar is displayed options: Plot options panels: The panels to add to the plot auto_tools: If True, the plot tools are automatically registered. If False, the user must register the tools manually. """ self.plot_widget = PlotWidget(self, toolbar, options, panels, auto_tools=False) self.manager = self.plot_widget.manager self.populate_plot_layout() self.setup_layout() if auto_tools: self.register_tools() def add_widget( self, widget: QWidget, row: int | None = None, column: int | None = None, rowspan: int | None = None, columnspan: int | None = None, ) -> None: """Add widget to the widget main layout Args: widget: The widget to add row: The row index column: The column index rowspan: The row span columnspan: The column span """ add_widget_to_grid_layout( self.plot_layout, widget, row, column, rowspan, columnspan ) def populate_plot_layout(self) -> None: """Populate the plot layout""" self.add_widget(self.plot_widget) def setup_layout(self) -> None: """Setup the widget layout""" self.addToolBar(self.plot_widget.toolbar) widget = QWidget() widget.setLayout(self.plot_layout) self.setCentralWidget(widget) def register_tools(self): """ Register the plotting tools: the base implementation of this method register tools according to the plot type (curve, image, etc.) This method may be overriden to provide a fully customized set of tools """ self.plot_widget.register_tools() def register_annotation_tools(self): """Register the annotation tools: the base implementation of this method register tools according to the plot type (curve, image, etc.) This method may be overriden to provide a fully customized set of tools """ self.plot_widget.register_annotation_tools() def closeEvent(self, event) -> None: """Reimplement the close event to close all panels Args: event: The close event """ # Closing panels (necessary if at least one of these panels has no # parent widget: otherwise, this panel will stay open after the main # window has been closed which is not the expected behavior) for panel in self.manager.panels: panel_widget = self.manager.get_panel(panel) if is_qobject_valid(panel_widget): panel_widget.close() QW.QMainWindow.closeEvent(self, event) class SubplotWidget(BasePlotWidget): """Construct a Widget that helps managing several plots together handled by the same manager Since the plots must be added to the manager before the panels the add_itemlist method can be called after having declared all the subplots Args: manager: The plot manager parent: The parent widget options: Plot options """ def __init__( self, manager: PlotManager, parent: QWidget | None = None, options: PlotOptions | dict[str, Any] | None = None, ) -> None: self.plotlayout: QW.QGridLayout | None = None super().__init__(parent, options=options) self.manager = manager self.plots: list[BasePlot] = [] def create_plot(self) -> QWidget: """Create the plot, which is the main widget of the plot widget""" main = QWidget() self.plotlayout = QW.QGridLayout() main.setLayout(self.plotlayout) return main def get_plots(self) -> list[BasePlot]: """Return the plots Returns: list[BasePlot]: The plots """ return self.plots def add_plot( self, plot: BasePlot, i: int = 0, j: int = 0, plot_id: str | None = None ) -> None: """Add a plot to the grid of plots Args: plot: The plot to add i: The row index j: The column index plot_id: The plot id """ self.plotlayout.addWidget(plot, i, j) self.plots.append(plot) if plot_id is None: plot_id = id(plot) self.manager.add_plot(plot, plot_id) class BaseSyncPlot: """Base class for synchronized plot windows and dialogs""" def __init__( self, toolbar: bool = True, options: PlotOptions | dict[str, Any] | None = None, auto_tools: bool = True, title: str = "PlotPy", icon: str = "plotpy.svg", size: tuple[int, int] | None = None, ) -> None: self.manager = PlotManager(None) self.manager.set_main(self) # Note: parent is not set here and widget operations on `self` are # deferred to _finalize_init() because PySide6 requires the subclass's # __init__ to have fully completed before widget methods can be called. self.subplotwidget = SubplotWidget(self.manager, parent=None, options=options) self._toolbar_visible = toolbar self.auto_tools = auto_tools self._rescale_timer: QC.QTimer | None = None self._init_title = title self._init_icon = icon self._init_size = size def _finalize_init(self) -> None: """Finalize initialization after Qt widget __init__ has completed. This is called by subclasses in their __init__ after calling both QMainWindow/QDialog.__init__ and BaseSyncPlot.__init__. """ self.toolbar = QW.QToolBar(_("Tools"), self) self.toolbar.setVisible(self._toolbar_visible) self.manager.add_toolbar(self.toolbar, "default") self.toolbar.setMovable(True) self.toolbar.setFloatable(True) set_widget_title_icon(self, self._init_title, self._init_icon, self._init_size) # Note: setup_layout() is called by subclasses after _finalize_init() def setup_layout(self) -> None: """Setup the layout - to be implemented by subclasses""" raise NotImplementedError("Subclasses must implement `setup_layout` method") def get_toolbar(self) -> QW.QToolBar: """Return main toolbar Returns: The plot widget main toolbar """ return self.toolbar def get_manager(self) -> PlotManager: """Return the plot manager Returns: The plot widget manager """ return self.manager def finalize_configuration(self) -> None: """Configure plot manager and register all tools""" self.subplotwidget.add_panels_to_manager() if self.auto_tools: self.subplotwidget.register_tools() def rescale_plots(self) -> None: """Rescale all plots Note: This method is called via QTimer.singleShot, so it may be invoked even after the widget starts closing. We check if rescaling is still needed. """ # Don't rescale if timer was already stopped (widget is closing) if self._rescale_timer is None or not self._rescale_timer.isActive(): return QW.QApplication.instance().processEvents() for plot in self.subplotwidget.plots: plot.do_autoscale() def handle_show_event(self) -> None: """Handle the show event to trigger plot rescaling""" # Use a QTimer instance so we can stop it if the widget is closed quickly if self._rescale_timer is None: self._rescale_timer = QC.QTimer(self) self._rescale_timer.setSingleShot(True) self._rescale_timer.timeout.connect(self.rescale_plots) self._rescale_timer.start(0) def handle_close_event(self) -> None: """Handle the close event to stop pending timer""" if self._rescale_timer is not None and self._rescale_timer.isActive(): self._rescale_timer.stop() def add_plot( self, row: int, col: int, plot: BasePlot, sync: bool = False, plot_id: str | None = None, ) -> None: """Add plot to window Args: row: The row index col: The column index plot: The plot to add sync: If True, the axes are synchronized plot_id: The plot id """ if plot_id is None: plot_id = str(len(self.subplotwidget.plots) + 1) self.subplotwidget.add_plot(plot, row, col, plot_id) if sync and len(self.subplotwidget.plots) > 1: self._synchronize_with_existing_plots(plot_id) def _synchronize_with_existing_plots(self, plot_id: str) -> None: """Synchronize the new plot with existing plots""" syncaxis = self.manager.synchronize_axis for i_plot in range(len(self.subplotwidget.plots) - 1): existing_plot_id = f"{i_plot + 1}" syncaxis(X_BOTTOM, [plot_id, existing_plot_id]) syncaxis(Y_LEFT, [plot_id, existing_plot_id]) def get_plots(self) -> list[BasePlot]: """Return the plots Returns: list[BasePlot]: The plots """ return self.subplotwidget.get_plots() class SyncPlotWindow(QW.QMainWindow, BaseSyncPlot): """Window for showing plots, optionally synchronized Args: parent: parent widget toolbar: show/hide toolbar options: plot options panels: additionnal panels auto_tools: If True, the plot tools are automatically registered. If False, the user must register the tools manually. title: The window title icon: The window icon size: The window size (width, height). Defaults to None (no resize) Usage: first, create a window, then add plots to it, then call the :py:meth:`.SyncPlotWindow.finalize_configuration` method to add panels and eventually register tools. Example:: from plotpy.plot import BasePlot, SyncPlotWindow win = SyncPlotWindow(title="My window") plot = BasePlot() win.add_plot(plot) win.finalize_configuration() win.show() """ def __init__( self, parent: QWidget | None = None, toolbar: bool = True, options: PlotOptions | dict[str, Any] | None = None, auto_tools: bool = True, title: str = "PlotPy", icon: str = "plotpy.svg", size: tuple[int, int] | None = None, ) -> None: self.subplotwidget: SubplotWidget self.toolbar: QW.QToolBar BaseSyncPlot.__init__(self, toolbar, options, auto_tools, title, icon, size) QW.QMainWindow.__init__(self, parent) self._finalize_init() self.setup_layout() def showEvent(self, event): # pylint: disable=C0103 """Reimplement Qt method""" super().showEvent(event) self.handle_show_event() def closeEvent(self, event): # pylint: disable=C0103 """Reimplement Qt method to stop pending timer before closing""" self.handle_close_event() super().closeEvent(event) def setup_layout(self) -> None: """Setup the main window layout""" self.setCentralWidget(self.subplotwidget) self.addToolBar(self.toolbar) class SyncPlotDialog(QW.QDialog, BaseSyncPlot): """Dialog for showing plots, optionally synchronized Args: parent: parent widget toolbar: show/hide toolbar options: plot options auto_tools: If True, the plot tools are automatically registered. If False, the user must register the tools manually. title: The window title icon: The window icon size: The window size (width, height). Defaults to None (no resize) Usage: first, create a dialog, then add plots to it, then call the :py:meth:`.SyncPlotDialog.finalize_configuration` method to add panels and eventually register tools. Example:: from plotpy.plot import BasePlot, SyncPlotDialog dlg = SyncPlotDialog(title="My dialog") plot = BasePlot() dlg.add_plot(plot) dlg.finalize_configuration() dlg.exec() """ def __init__( self, parent: QWidget | None = None, toolbar: bool = True, options: PlotOptions | dict[str, Any] | None = None, auto_tools: bool = True, title: str = "PlotPy", icon: str = "plotpy.svg", size: tuple[int, int] | None = None, ) -> None: self.subplotwidget: SubplotWidget self.toolbar: QW.QToolBar BaseSyncPlot.__init__(self, toolbar, options, auto_tools, title, icon, size) QW.QDialog.__init__(self, parent) self._finalize_init() self.setup_layout() self.setWindowFlags(QC.Qt.Window) def showEvent(self, event): # pylint: disable=C0103 """Reimplement Qt method""" super().showEvent(event) self.handle_show_event() def closeEvent(self, event): # pylint: disable=C0103 """Reimplement Qt method to stop pending timer before closing""" self.handle_close_event() super().closeEvent(event) def setup_layout(self) -> None: """Setup the dialog layout""" self.plot_layout = QW.QGridLayout() self.plot_layout.addWidget(self.subplotwidget) layout = QW.QVBoxLayout() layout.addWidget(self.toolbar) layout.addLayout(self.plot_layout) self.setLayout(layout) PlotPyStack-PlotPy-2af0906/plotpy/pyplot.py000066400000000000000000000051361525747167300207630ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Interactive plotting widgets ============================ Overview -------- The `pyplot` module provides an interactive plotting interface similar to `Matplotlib`'s, i.e. with MATLAB-like syntax. The :py:mod:`.pyplot` module was designed to be as close as possible to the :py:mod:`matplotlib.pyplot` module, so that one could easily switch between these two modules by simply changing the import statement. Basically, if :mod:`plotpy` does support the plotting commands called in your script, replacing ``import matplotlib.pyplot`` by ``import plotpy.pyplot`` should be enough, as shown in the following example: * Simple example using `matplotlib`:: import matplotlib.pyplot as plt import numpy as np x = np.linspace(-10, 10) plt.plot(x, x**2, 'r+') plt.show() * Switching from `matplotlib` to :mod:`plotpy` is trivial:: import plotpy.pyplot as plt # only this line has changed! import numpy as np x = np.linspace(-10, 10) plt.plot(x, x**2, 'r+') plt.show() Examples -------- >>> import numpy as np >>> import plotpy.pyplot as plt >>> plt.ion() # switching to interactive mode >>> x = np.linspace(-5, 5, 1000) >>> plt.figure(1) >>> plt.subplot(2, 1, 1) >>> plt.plot(x, np.sin(x), "r+") >>> plt.plot(x, np.cos(x), "g-") >>> plt.errorbar(x, -1+x**2/20+.2*np.random.rand(len(x)), x/20) >>> plt.xlabel("Axe x") >>> plt.ylabel("Axe y") >>> plt.subplot(2, 1, 2) >>> img = np.fromfunction(lambda x, y: np.sin((x/200.)*(y/200.)**2), (1000, 1000)) >>> plt.xlabel("pixels") >>> plt.ylabel("pixels") >>> plt.zlabel("intensity") >>> plt.gray() >>> plt.imshow(img) >>> plt.figure("plotyy") >>> plt.plotyy(x, np.sin(x), x, np.cos(x)) >>> plt.ylabel("sine", "cosine") >>> plt.show() Reference --------- .. autofunction:: interactive .. autofunction:: ion .. autofunction:: ioff .. autofunction:: figure .. autofunction:: gcf .. autofunction:: gca .. autofunction:: show .. autofunction:: subplot .. autofunction:: close .. autofunction:: title .. autofunction:: xlabel .. autofunction:: ylabel .. autofunction:: zlabel .. autofunction:: yreverse .. autofunction:: grid .. autofunction:: legend .. autofunction:: colormap .. autofunction:: savefig .. autofunction:: plot .. autofunction:: plotyy .. autofunction:: semilogx .. autofunction:: semilogy .. autofunction:: loglog .. autofunction:: errorbar .. autofunction:: hist .. autofunction:: imshow .. autofunction:: pcolor """ # pylint: disable=unused-import # pylint: disable=wildcard-import # flake8: noqa from plotpy.plot.interactive import * PlotPyStack-PlotPy-2af0906/plotpy/styles/000077500000000000000000000000001525747167300204005ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/styles/__init__.py000066400000000000000000000031721525747167300225140ustar00rootroot00000000000000# -*- coding: utf-8 -*- # pylint: disable=W0611 # flake8: noqa from plotpy.styles.axes import ( AxesParam, AxeStyleParam, AxisItem, AxisItemWidget, AxisParam, ImageAxesParam, ) from plotpy.styles.base import ( COLORS, LINESTYLES, MARKERS, BrushStyleItem, BrushStyleItemWidget, BrushStyleParam, FontItem, FontItemWidget, FontParam, GridParam, ItemParameters, LineStyleItem, LineStyleItemWidget, LineStyleParam, SymbolItem, SymbolItemWidget, SymbolParam, TextStyleItem, TextStyleItemWidget, TextStyleParam, style_generator, update_style_attr, ) from plotpy.styles.curve import CurveParam, CurveParam_MS from plotpy.styles.errorbar import ErrorBarParam from plotpy.styles.histogram import ( Histogram2DParam, Histogram2DParam_MS, HistogramParam, ) from plotpy.styles.image import ( BaseImageParam, ImageFilterParam, ImageParam, ImageParam_MS, MaskedImageParam, MaskedImageParam_MS, MaskedImageParamMixin, MaskedXYImageParam, MaskedXYImageParam_MS, QuadGridParam, RawImageParam, RawImageParam_MS, RGBImageParam, TrImageParam, TrImageParam_MS, XYImageParam, XYImageParam_MS, ) from plotpy.styles.label import ( LabelParam, LabelParam_MS, LabelParamWithContents, LabelParamWithContents_MS, LegendParam, LegendParam_MS, ) from plotpy.styles.polygonmap import PolygonMapParam, PolygonParam_MS from plotpy.styles.shape import ( AnnotationParam, AnnotationParam_MS, AxesShapeParam, MarkerParam, RangeShapeParam, ShapeParam, ) PlotPyStack-PlotPy-2af0906/plotpy/styles/axes.py000066400000000000000000000150011525747167300217070ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING from guidata.dataset import ( BeginGroup, ChoiceItem, ColorItem, DataSet, EndGroup, FloatItem, ObjectItem, StringItem, ) from guidata.dataset.qtitemwidgets import DataSetWidget from guidata.dataset.qtwidgets import DataSetEditLayout from qwt import QwtPlot from plotpy.config import _ from plotpy.constants import X_BOTTOM, Y_LEFT, Y_RIGHT from plotpy.styles.base import FontItem if TYPE_CHECKING: from qwt import QwtPlotItem, QwtScaleDiv from plotpy.items import BaseImageItem from plotpy.plot import BasePlot class AxeStyleParam(DataSet): """Style parameters for an axis.""" title = StringItem(_("Title"), default="") unit = StringItem(_("Unit"), default="") color = ColorItem(_("Color"), default="black").set_pos(col=1) title_font = FontItem(_("Title font")) ticks_font = FontItem(_("Values font")) class AxisParam(DataSet): """Scale parameters for an axis.""" scale = ChoiceItem( _("Scale"), [("lin", _("linear")), ("log", _("logarithmic")), ("datetime", _("date/time"))], default="lin", ) autoscale = ChoiceItem( _("Autoscale strategy"), [ ("auto", _("Auto")), ("fixed", _("Fixed range")), ("none", _("Disabled")), ], default="auto", help=_( "Strategy used by the AutoScale action for this axis: " "'Auto' computes bounds from items, 'Fixed range' applies the " "Min/Max values defined above, 'Disabled' leaves the axis untouched." ), ) vmin = FloatItem("Min", help=_("Lower axis limit"), default=0.0) vmax = FloatItem("Max", help=_("Upper axis limit"), default=1.0) def update_param(self, plot: BasePlot, axis_id: int) -> None: """ Update the parameters of the axis. Args: plot: The plot from which to update the parameters. axis_id: The axis ID to update. """ self.scale = plot.get_axis_scale(axis_id) axis: QwtScaleDiv = plot.axisScaleDiv(axis_id) self.vmin = axis.lowerBound() self.vmax = axis.upperBound() strategy, fixed_vmin, fixed_vmax = plot.get_axis_autoscale_strategy(axis_id) self.autoscale = strategy if strategy == "fixed": if fixed_vmin is not None: self.vmin = fixed_vmin if fixed_vmax is not None: self.vmax = fixed_vmax def update_axis(self, plot: BasePlot, axis_id: int) -> None: """ Update the axis with the parameters. Args: plot: The plot to update. axis_id: The axis ID to update. """ plot.enableAxis(axis_id, True) plot.set_axis_scale(axis_id, self.scale, autoscale=False) plot.setAxisScale(axis_id, self.vmin, self.vmax) plot.set_axis_autoscale_strategy( axis_id, self.autoscale, vmin=self.vmin, vmax=self.vmax ) plot.disable_unused_axes() plot.SIG_AXIS_PARAMETERS_CHANGED.emit(axis_id) class AxisItemWidget(DataSetWidget): """Widget for the axis item.""" klass = AxisParam class AxisItem(ObjectItem): """Item for an axis.""" klass = AxisParam DataSetEditLayout.register(AxisItem, AxisItemWidget) class AxesParam(DataSet): """Parameters for the axes of a plot.""" xaxis_id = ChoiceItem( _("X-axis position"), [(QwtPlot.xBottom, _("bottom")), (QwtPlot.xTop, _("top"))], default=QwtPlot.xBottom, ) xaxis = AxisItem(_("X Axis")) yaxis_id = ChoiceItem( _("Y-axis position"), [(QwtPlot.yLeft, _("left")), (QwtPlot.yRight, _("right"))], default=QwtPlot.yLeft, ) yaxis = AxisItem(_("Y Axis")) def update_param(self, item: QwtPlotItem) -> None: """ Update the parameters of the axes. Args: item: The plot item from which to update the parameters. """ plot: BasePlot = item.plot() self.xaxis: AxisParam self.yaxis: AxisParam self.xaxis_id = item.xAxis() self.xaxis.update_param(plot, self.xaxis_id) self.yaxis_id = item.yAxis() self.yaxis.update_param(plot, self.yaxis_id) def update_item(self, item: QwtPlotItem) -> None: """ Update the axes with the parameters. Args: item: The plot item to update. """ plot: BasePlot = item.plot() self.xaxis: AxisParam self.yaxis: AxisParam plot.grid.setAxes(self.xaxis_id, self.yaxis_id) item.setXAxis(self.xaxis_id) self.xaxis.update_axis(plot, self.xaxis_id) item.setYAxis(self.yaxis_id) self.yaxis.update_axis(plot, self.yaxis_id) class ImageAxesParam(DataSet): """Parameters for the axes of an image plot.""" xparams = BeginGroup(_("X Axis")) xmin = FloatItem("x|min", help=_("Lower x-axis limit")) xmax = FloatItem("x|max", help=_("Upper x-axis limit")) _xparams = EndGroup("end X") yparams = BeginGroup(_("Y Axis")) ymin = FloatItem("y|min", help=_("Lower y-axis limit")) ymax = FloatItem("y|max", help=_("Upper y-axis limit")) _yparams = EndGroup("end Y") zparams = BeginGroup(_("Z Axis")) zmin = FloatItem("z|min", help=_("Lower z-axis limit")) zmax = FloatItem("z|max", help=_("Upper z-axis limit")) _zparams = EndGroup("end Z") def update_param(self, item: BaseImageItem) -> None: """ Update the parameters of the axes associated with the image item. Args: item: The image item from which to update the parameters. """ plot: BasePlot = item.plot() xaxis: QwtScaleDiv = plot.axisScaleDiv(item.xAxis()) self.xmin = xaxis.lowerBound() self.xmax = xaxis.upperBound() yaxis: QwtScaleDiv = plot.axisScaleDiv(item.yAxis()) self.ymin = yaxis.lowerBound() self.ymax = yaxis.upperBound() self.zmin, self.zmax = item.min, item.max def update_item(self, item: BaseImageItem) -> None: """ Update the axes with the parameters associated with the image item. Args: item: The image item to update. """ plot: BasePlot = item.plot() plot.set_plot_limits(self.xmin, self.xmax, self.ymin, self.ymax) item.set_lut_range([self.zmin, self.zmax]) plot.update_colormap_axis(item) for axis_id in (X_BOTTOM, Y_LEFT, Y_RIGHT): plot.SIG_AXIS_PARAMETERS_CHANGED.emit(axis_id) PlotPyStack-PlotPy-2af0906/plotpy/styles/base.py000066400000000000000000000453151525747167300216740ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from copy import deepcopy from math import atan2, pi, sqrt from typing import TYPE_CHECKING from guidata.dataset import ( BeginGroup, BoolItem, ButtonItem, ColorItem, DataSet, DataSetGroup, EndGroup, FloatItem, ImageChoiceItem, IntItem, ObjectItem, StringItem, update_dataset, ) from guidata.dataset.qtitemwidgets import DataSetWidget from guidata.dataset.qtwidgets import DataSetEditLayout from qtpy import QtCore as QC from qtpy import QtGui as QG from qtpy import QtWidgets as QW from qwt import QwtPlotCurve, QwtPlotMarker, QwtSymbol from plotpy.config import _ if TYPE_CHECKING: import guidata.dataset from plotpy.interfaces import IBasePlotItem from plotpy.plot import BasePlot LINESTYLES = {"-": "SolidLine", "--": "DashLine", ":": "DotLine", "-.": "DashDotLine"} COLORS = { "r": "red", "g": "green", "b": "blue", "c": "cyan", "m": "magenta", "y": "yellow", "k": "black", "w": "white", "G": "gray", } MARKERS = { "+": QwtSymbol.Cross, "o": QwtSymbol.Ellipse, "*": QwtSymbol.Star1, ".": QwtSymbol( QwtSymbol.Ellipse, QG.QBrush(QC.Qt.black), QG.QPen(QC.Qt.black), QC.QSizeF(3, 3) ), "x": QwtSymbol.XCross, "s": QwtSymbol.Rect, "d": QwtSymbol.Diamond, "^": QwtSymbol.UTriangle, "v": QwtSymbol.DTriangle, ">": QwtSymbol.RTriangle, "<": QwtSymbol.LTriangle, "h": QwtSymbol.Star2, } MARKERSTYLES = {None: "NoLine", "-": "HLine", "|": "VLine", "+": "Cross"} LINESTYLE_CHOICES = [ ("SolidLine", _("Solid line"), "solid.png"), ("DashLine", _("Dashed line"), "dash.png"), ("DotLine", _("Dotted line"), "dot.png"), ("DashDotLine", _("Dash-dot line"), "dashdot.png"), ("DashDotDotLine", _("Dash-dot-dot line"), "dashdotdot.png"), ("NoPen", _("No line"), "none.png"), ] MARKER_CHOICES = [ ("Cross", _("Cross"), "cross.png"), ("Ellipse", _("Ellipse"), "ellipse.png"), ("Star1", _("Star"), "star.png"), ("XCross", _("X-Cross"), "xcross.png"), ("Rect", _("Square"), "square.png"), ("Diamond", _("Diamond"), "diamond.png"), ("UTriangle", _("Triangle"), "triangle_u.png"), ("DTriangle", _("Triangle"), "triangle_d.png"), ("RTriangle", _("Triangle"), "triangle_r.png"), ("LTriangle", _("Triangle"), "triangle_l.png"), ("Star2", _("Hexagon"), "hexagon.png"), ("NoSymbol", _("No symbol"), "none.png"), ] CURVESTYLE_CHOICES = [ ("Lines", _("Lines"), "lines.png"), ("Sticks", _("Sticks"), "sticks.png"), ("Steps", _("Steps"), "steps.png"), ("Dots", _("Dots"), "dots.png"), ("NoCurve", _("No curve"), "none.png"), ] BRUSHSTYLE_CHOICES = [ ("NoBrush", _("No brush pattern"), "nobrush.png"), ("SolidPattern", _("Uniform color"), "solidpattern.png"), ("Dense1Pattern", _("Extremely dense brush pattern"), "dense1pattern.png"), ("Dense2Pattern", _("Very dense brush pattern"), "dense2pattern.png"), ("Dense3Pattern", _("Somewhat dense brush pattern"), "dense3pattern.png"), ("Dense4Pattern", _("Half dense brush pattern"), "dense4pattern.png"), ("Dense5Pattern", _("Somewhat sparse brush pattern"), "dense5pattern.png"), ("Dense6Pattern", _("Very sparse brush pattern"), "dense6pattern.png"), ("Dense7Pattern", _("Extremely sparse brush pattern"), "dense7pattern.png"), ("HorPattern", _("Horizontal lines"), "horpattern.png"), ("VerPattern", _("Vertical lines"), "verpattern.png"), ("CrossPattern", _("Crossing horizontal and vertical lines"), "crosspattern.png"), ("BDiagPattern", _("Backward diagonal lines"), "bdiagpattern.png"), ("FDiagPattern", _("Forward diagonal lines"), "fdiagpattern.png"), ("DiagCrossPattern", _("Crossing diagonal lines"), "diagcrosspattern.png"), # ( # "LinearGradientPattern", # _("Linear gradient (set using a dedicated QBrush constructor)"), # "none.png", # ), # ( # "ConicalGradientPattern", # _("Conical gradient (set using a dedicated QBrush constructor)"), # "none.png", # ), # ( # "RadialGradientPattern", # _("Radial gradient (set using a dedicated QBrush constructor)"), # "none.png", # ), # ("TexturePattern", _("Custom pattern (see QBrush::setTexture())"), "none.png"), ] MARKERSTYLE_CHOICES = [ ("NoLine", _("None"), "none.png"), ("HLine", _("Horizontal"), "horiz_marker.png"), ("VLine", _("Vertical"), "vert_marker.png"), ("Cross", _("Cross"), "cross_marker.png"), ] def build_reverse_map(lst, obj): """ :param lst: :param obj: :return: """ dict = {} for idx, _name, _icon in lst: val = getattr(obj, idx) dict[val] = idx return dict MARKER_NAME = build_reverse_map(MARKER_CHOICES, QwtSymbol) CURVESTYLE_NAME = build_reverse_map(CURVESTYLE_CHOICES, QwtPlotCurve) LINESTYLE_NAME = build_reverse_map(LINESTYLE_CHOICES, QC.Qt) BRUSHSTYLE_NAME = build_reverse_map(BRUSHSTYLE_CHOICES, QC.Qt) MARKERSTYLE_NAME = build_reverse_map(MARKERSTYLE_CHOICES, QwtPlotMarker) def style_generator(color_keys="bgrcmykG"): """Cycling through curve styles""" while True: for linestyle in sorted(LINESTYLES.keys()): for color in color_keys: yield color + linestyle def update_style_attr(style: str, param) -> None: """Parse a MATLAB-like style string. Example: 'r--o' for red dashed line with circle markers Also accepts HTML colors like '#ff0000'. Args: style: style string """ for marker in list(MARKERS.keys()): if marker in style: param.symbol.update_param(MARKERS[marker]) break else: param.symbol.update_param(QwtSymbol.NoSymbol) for linestyle in list(LINESTYLES.keys()): if linestyle in style: param.line.style = LINESTYLES[linestyle] break else: param.line.style = "NoPen" color = "black" for style_str in style: if style_str.startswith("#"): # HTML color color = style_str[:7] break for color_letter in list(COLORS.keys()): if color_letter in style: color = COLORS[color_letter] break param.line.color = color param.symbol.facecolor = color param.symbol.edgecolor = color class ItemParameters: """Class handling QwtPlotItem-like parameters Args: multiselection (bool): if True, the class will handle """ MULTISEL_DATASETS = [] # Customizing tab display order: ENDING_PARAMETERS = ( "CurveParam", "ErrorBarParam", "ShapeParam", "LabelParam", "LegendParam", "GridParam", "AxesParam", ) def __init__(self, multiselection: bool = False): self.multiselection = multiselection self.paramdict: dict[str, guidata.dataset.DataSet] = {} self.items: set[IBasePlotItem] = set() @classmethod def register_multiselection(cls, klass, klass_ms): """Register a DataSet couple: (DataSet, DataSet_for_MultiSelection)""" # Inserting element backwards because classes have to be registered # from children to parent (see 'add' method to fully understand why) cls.MULTISEL_DATASETS.insert(0, (klass, klass_ms)) def __add(self, key, item, param): self.paramdict[key] = param self.items.add(item) def add( self, key: str, item: IBasePlotItem, param: guidata.dataset.DataSet, ) -> None: """ Add parameters for a given item Args: key: key to identify the item item: item to be customized param: parameters to be applied to the item """ if self.multiselection: for klass, klass_ms in self.MULTISEL_DATASETS: if isinstance(param, klass): title = param.get_title() if key in self.paramdict and not title.endswith("s"): title += "s" param_ms = klass_ms( title=title, comment=param.get_comment(), icon=param.get_icon() ) update_dataset(param_ms, param) self.__add(key, item, param_ms) return self.__add(key, item, param) def get(self, key: str) -> guidata.dataset.DataSet: """ Get parameters for a given item Args: key: key to identify the item """ return deepcopy(self.paramdict.get(key)) def update(self, plot: BasePlot) -> None: """ Update plot items according to the parameters Args: plot: plot to be updated """ for item in self.items: item.set_item_parameters(self) plot.SIG_ITEM_PARAMETERS_CHANGED.emit(item) plot.replot() plot.SIG_ITEMS_CHANGED.emit(plot) def edit(self, plot: BasePlot, title: str, icon: str) -> None: """ Edit parameters Args: plot: plot to be updated title: title of the dialog icon: icon of the dialog """ paramdict = self.paramdict.copy() ending_parameters = [] for key in self.ENDING_PARAMETERS: if key in paramdict: ending_parameters.append(paramdict.pop(key)) parameters = list(paramdict.values()) + ending_parameters dset = DataSetGroup(parameters, title=title.rstrip("."), icon=icon) if dset.edit(parent=plot, apply=lambda dset: self.update(plot)): self.update(plot) # =================================================== # Common font parameters # =================================================== def _font_selection(param, item, value, parent): font = param.build_font() result, valid = QW.QFontDialog.getFont(font, parent) if valid: param.update_param(result) class FontParam(DataSet): family = StringItem(_("Family"), default="default") _choose = ButtonItem(_("Choose font"), _font_selection, default=None).set_pos(col=1) size = IntItem(_("Size in point"), default=12) bold = BoolItem(_("Bold"), default=False).set_pos(col=1) italic = BoolItem(_("Italic"), default=False).set_pos(col=2) def update_param(self, font): """ :param font: """ self.family = str(font.family()) self.size = font.pointSize() self.bold = bool(font.bold()) self.italic = bool(font.italic()) def build_font(self): """ :return: """ font = QG.QFont(self.family) font.setPointSize(self.size) font.setBold(self.bold) font.setItalic(self.italic) return font class FontItemWidget(DataSetWidget): klass = FontParam class FontItem(ObjectItem): """Item holding a LineStyleParam""" klass = FontParam DataSetEditLayout.register(FontItem, FontItemWidget) # =================================================== # Common Qwt symbol parameters # =================================================== class SymbolParam(DataSet): marker = ImageChoiceItem(_("Style"), MARKER_CHOICES, default="NoSymbol") size = IntItem(_("Size"), default=9) edgecolor = ColorItem(_("Border"), default="gray") edgewidth = FloatItem(_("Border width"), default=1.0, min=0.0) facecolor = ColorItem(_("Background color"), default="yellow") alpha = FloatItem(_("Background alpha"), default=1.0, min=0, max=1) def update_param(self, symb): """ :param symb: :return: """ if not isinstance(symb, QwtSymbol): # check if this is still needed # raise RuntimeError assert isinstance(symb, QwtSymbol.Style) self.marker = MARKER_NAME[symb] return self.marker = MARKER_NAME[symb.style()] self.size = int(symb.size().width()) self.edgecolor = str(symb.pen().color().name()) self.edgewidth = float(symb.pen().widthF()) self.facecolor = str(symb.brush().color().name()) def build_symbol(self): """ :return: """ marker_type = getattr(QwtSymbol, self.marker) color = QG.QColor(self.facecolor) color.setAlphaF(self.alpha) pen = QG.QPen(QG.QColor(self.edgecolor)) pen.setWidthF(self.edgewidth) marker = QwtSymbol( marker_type, QG.QBrush(color), pen, QC.QSizeF(self.size, self.size), ) return marker def update_symbol(self, obj): """ :param obj: """ obj.setSymbol(self.build_symbol()) class SymbolItemWidget(DataSetWidget): klass = SymbolParam class SymbolItem(ObjectItem): """Item holding a SymbolParam""" klass = SymbolParam DataSetEditLayout.register(SymbolItem, SymbolItemWidget) # =================================================== # Common line style parameters # =================================================== class LineStyleParam(DataSet): style = ImageChoiceItem(_("Style"), LINESTYLE_CHOICES, default="SolidLine") color = ColorItem(_("Color"), default="black") width = FloatItem(_("Width"), default=1.0, min=0.0) def update_param(self, pen): """ :param pen: """ self.width = pen.widthF() self.color = str(pen.color().name()) self.style = LINESTYLE_NAME[pen.style()] def build_pen(self): """ :return: """ linecolor = QG.QColor(self.color) style = getattr(QC.Qt, self.style) pen = QG.QPen(linecolor, self.width, style) return pen def set_style_from_matlab(self, linestyle): """Eventually convert MATLAB-like linestyle into Qt linestyle""" linestyle = LINESTYLES.get(linestyle, linestyle) # MATLAB-style if linestyle == "": # MATLAB-style linestyle = "NoPen" self.style = linestyle class LineStyleItemWidget(DataSetWidget): klass = LineStyleParam class LineStyleItem(ObjectItem): """Item holding a LineStyleParam""" klass = LineStyleParam DataSetEditLayout.register(LineStyleItem, LineStyleItemWidget) # =================================================== # Common brush style parameters # =================================================== class BrushStyleParam(DataSet): style = ImageChoiceItem(_("Style"), BRUSHSTYLE_CHOICES, default="SolidPattern") color = ColorItem(_("Color"), default="black") alpha = FloatItem(_("Alpha"), default=1.0) angle = FloatItem(_("Angle"), default=0.0, min=0) sx = FloatItem(_("sx"), default=1.0, min=0) sy = FloatItem(_("sy"), default=1.0, min=0) def update_param(self, brush): """ :param brush: """ tr = brush.transform() pt = tr.map(QC.QPointF(1.0, 0.0)) self.sx = sqrt(pt.x() ** 2 + pt.y() ** 2) self.angle = 180 * atan2(pt.y(), pt.x()) / pi pt = tr.map(QC.QPointF(0.0, 1.0)) self.sy = sqrt(pt.x() ** 2 + pt.y() ** 2) col = brush.color() self.color = str(col.name()) self.alpha = col.alphaF() self.style = BRUSHSTYLE_NAME[brush.style()] def build_brush(self): """ :return: """ color = QG.QColor(self.color) color.setAlphaF(self.alpha) brush = QG.QBrush(color, getattr(QC.Qt, self.style)) tr = QG.QTransform() tr = tr.scale(self.sx, self.sy) tr = tr.rotate(self.angle) brush.setTransform(tr) return brush class BrushStyleItemWidget(DataSetWidget): klass = BrushStyleParam class BrushStyleItem(ObjectItem): """Item holding a LineStyleParam""" klass = BrushStyleParam DataSetEditLayout.register(BrushStyleItem, BrushStyleItemWidget) # =================================================== # QwtText parameters # =================================================== class TextStyleParam(DataSet): font = FontItem(_("Font")) textcolor = ColorItem(_("Text color"), default="blue") background_color = ColorItem(_("Background color"), default="white") background_alpha = FloatItem(_("Background alpha"), default=0.5, min=0, max=1) def update_param(self, obj): """obj: QwtText instance""" self.font.update_param(obj.font()) self.textcolor = obj.color().name() color = obj.backgroundBrush().color() self.background_color = color.name() self.background_alpha = color.alphaF() def update_text(self, obj): """obj: QwtText instance""" obj.setColor(QG.QColor(self.textcolor)) color = QG.QColor(self.background_color) color.setAlphaF(self.background_alpha) obj.setBackgroundBrush(QG.QBrush(color)) font = self.font.build_font() obj.setFont(font) class TextStyleItemWidget(DataSetWidget): klass = TextStyleParam class TextStyleItem(ObjectItem): """Item holding a TextStyleParam""" klass = TextStyleParam DataSetEditLayout.register(TextStyleItem, TextStyleItemWidget) # =================================================== # Grid parameters # =================================================== class GridParam(DataSet): background = ColorItem(_("Background color"), default="white") maj = BeginGroup(_("Major grid")) maj_xenabled = BoolItem(_("X Axis"), default=True) maj_yenabled = BoolItem(_("Y Axis"), default=True).set_pos(col=1) maj_line = LineStyleItem(_("Line")) _maj = EndGroup("end group") min = BeginGroup(_("Minor grid")) min_xenabled = BoolItem(_("X Axis"), default=False) min_yenabled = BoolItem(_("Y Axis"), default=False).set_pos(col=1) min_line = LineStyleItem(_("Line")) _min = EndGroup("fin groupe") def update_param(self, grid): """ :param grid: """ plot = grid.plot() if plot is not None: self.background = str(plot.canvasBackground().color().name()) self.maj_xenabled = grid.xEnabled() self.maj_yenabled = grid.yEnabled() self.maj_line.update_param(grid.majorPen()) self.min_xenabled = grid.xMinEnabled() self.min_yenabled = grid.yMinEnabled() self.min_line.update_param(grid.minorPen()) def update_grid(self, grid): """ :param grid: """ plot = grid.plot() if plot is not None: plot.blockSignals(True) # Avoid unwanted calls of update_param # triggered by the setter methods below plot.setCanvasBackground(QG.QColor(self.background)) grid.enableX(self.maj_xenabled) grid.enableY(self.maj_yenabled) grid.setPen(self.maj_line.build_pen()) grid.enableXMin(self.min_xenabled) grid.enableYMin(self.min_yenabled) grid.setMinorPen(self.min_line.build_pen()) grid.setTitle(self.get_title()) if plot is not None: plot.blockSignals(False) PlotPyStack-PlotPy-2af0906/plotpy/styles/curve.py000066400000000000000000000060031525747167300220750ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING from guidata.dataset import ( BoolItem, DataSet, FloatItem, GetAttrProp, ImageChoiceItem, IntItem, StringItem, ) from qtpy import QtCore as QC from qtpy import QtGui as QG from qwt import QwtPlotCurve from plotpy.config import _ from plotpy.styles.base import ( CURVESTYLE_CHOICES, CURVESTYLE_NAME, ItemParameters, LineStyleItem, SymbolItem, ) if TYPE_CHECKING: from plotpy.items import CurveItem class CurveParam(DataSet): """Dataset defining the parameters of a CurveItem""" _multiselection = False label = StringItem(_("Title"), default="").set_prop( "display", hide=GetAttrProp("_multiselection") ) line = LineStyleItem(_("Line")) symbol = SymbolItem(_("Symbol")) shade = FloatItem(_("Shadow"), default=0.0, min=0.0, max=1.0) curvestyle = ImageChoiceItem(_("Curve style"), CURVESTYLE_CHOICES, default="Lines") baseline = FloatItem(_("Baseline"), default=0.0) _use_dsamp_prop = GetAttrProp("use_dsamp") use_dsamp = BoolItem(_("Use downsampling"), default=False).set_prop( "display", store=_use_dsamp_prop ) dsamp_factor = IntItem(_("Downsampling factor"), default=10, min=1).set_prop( "display", active=_use_dsamp_prop ) def update_param(self, curve: CurveItem) -> None: """Updates the parameters using values from a given CurveItem Args: curve: reference CurveItem instance """ self.label = str(curve.title().text()) self.symbol.update_param(curve.symbol()) self.line.update_param(curve.pen()) self.curvestyle = CURVESTYLE_NAME[curve.style()] self.baseline = curve.baseline() def update_item(self, curve: CurveItem) -> None: """Updates a given CurveItem using the current parameters Args: curve: instance of CurveItem to update """ plot = curve.plot() if plot is not None: plot.blockSignals(True) # Avoid unwanted calls of update_param # triggered by the setter methods below if not self._multiselection: # Non common parameters curve.setTitle(self.label) curve.setPen(self.line.build_pen()) # Brush linecolor = QG.QColor(self.line.color) linecolor.setAlphaF(self.shade) brush = QG.QBrush(linecolor) if not self.shade: brush.setStyle(QC.Qt.NoBrush) curve.setBrush(brush) # Symbol self.symbol.update_symbol(curve) # Curve style, type and baseline curve.setStyle(getattr(QwtPlotCurve, self.curvestyle)) curve.setBaseline(self.baseline) # Downsampling curve.update_data() if plot is not None: plot.blockSignals(False) class CurveParam_MS(CurveParam): """Same as CurveParam but for multiselection""" _multiselection = True ItemParameters.register_multiselection(CurveParam, CurveParam_MS) PlotPyStack-PlotPy-2af0906/plotpy/styles/errorbar.py000066400000000000000000000036521525747167300225760ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING from guidata.dataset import BoolItem, ChoiceItem, ColorItem, DataSet, FloatItem, IntItem from qtpy import QtGui as QG from plotpy.config import _ if TYPE_CHECKING: from plotpy.items import ErrorBarCurveItem class ErrorBarParam(DataSet): """Error bar style parameters for a curve.""" mode = ChoiceItem( _("Display"), default=0, choices=[_("error bars with caps (x, y)"), _("error area (y)")], help=_( "Note: only y-axis error bars are shown in " "error area mode\n(width and cap parameters " "will also be ignored)" ), ) color = ColorItem(_("Color"), default="darkred") alpha = FloatItem( _("Alpha"), default=0.9, min=0, max=1, help=_("Error bar transparency") ) width = FloatItem(_("Width"), default=1.0, min=1.0) cap = IntItem(_("Cap"), default=4, min=0) ontop = BoolItem(_("set to foreground"), _("Visibility"), default=False) def update_param(self, item: ErrorBarCurveItem) -> None: """ Update the parameters associated with the error bar item. Args: item: The error bar item from which to update the parameters. """ color = item.errorPen.color() self.color = str(color.name()) self.alpha = color.alphaF() self.width = item.errorPen.widthF() self.cap = item.errorCap self.ontop = item.errorOnTop def update_item(self, item: ErrorBarCurveItem) -> None: """ Update the error bar item with the parameters. Args: item: The error bar item to update. """ color = QG.QColor(self.color) color.setAlphaF(self.alpha) item.errorPen = QG.QPen(color, self.width) item.errorBrush = QG.QBrush(color) item.errorCap = self.cap item.errorOnTop = self.ontop PlotPyStack-PlotPy-2af0906/plotpy/styles/histogram.py000066400000000000000000000072671525747167300227630ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING from guidata.dataset import ( BoolItem, ChoiceItem, ColorItem, DataSet, FloatItem, GetAttrProp, IntItem, StringItem, ) from plotpy.config import _ from plotpy.styles.base import ItemParameters from plotpy.styles.image import BaseImageParam if TYPE_CHECKING: from plotpy.items import Histogram2DItem, HistogramItem class HistogramParam(DataSet): n_bins = IntItem(_("Bins"), default=100, min=1, help=_("Number of bins")) bin_min = FloatItem(_("Min"), default=None, help=_("Minimum value"), check=False) bin_max = FloatItem(_("Max"), default=None, help=_("Maximum value"), check=False) logscale = BoolItem(_("logarithmic"), _("Y-axis scale"), default=False) def update_param(self, item: HistogramItem) -> None: """Update the histogram parameters from the plot item Args: item: Histogram item """ self.n_bins = item.get_bins() self.bin_min, self.bin_max = item.get_bin_range() self.logscale = item.get_logscale() def update_hist(self, item: HistogramItem) -> None: """Update the histogram plot item from the parameters Args: item: Histogram item """ if self.bin_min is None or self.bin_max is None: item.bin_range = None else: item.bin_range = (self.bin_min, self.bin_max) item.bins = self.n_bins item.logscale = self.logscale item.update_histogram() class Histogram2DParam(BaseImageParam): """Histogram""" _multiselection = False label = StringItem(_("Title"), default=_("Histogram")).set_prop( "display", hide=GetAttrProp("_multiselection") ) nx_bins = IntItem( _("X-axis bins"), default=100, min=1, help=_("Number of bins along x-axis") ) ny_bins = IntItem( _("Y-axis bins"), default=100, min=1, help=_("Number of bins along y-axis") ) logscale = BoolItem(_("logarithmic"), _("Z-axis scale"), default=False) computation = ChoiceItem( _("Computation"), [ (-1, _("Bin count")), (0, _("Maximum value")), (1, _("Mininum value")), (2, _("Sum")), (3, _("Product")), (4, _("Average")), ], default=-1, help=_( "Bin count : counts the number of points per bin,\n" "For max, min, sum, product, average, compute the " "function of a third parameter (one by default)" ), ) auto_lut = BoolItem( _("Automatic LUT range"), default=True, help=_("Automatically adapt color scale when panning, zooming"), ) background = ColorItem( _("Background color"), default="transparent", help=_("Background color when no data is present"), ) def update_param(self, item: Histogram2DItem) -> None: """Update the histogram parameters from the plot item Args: item: 2D Histogram item """ super().update_param(item) self.logscale = item.logscale self.nx_bins, self.ny_bins = item.nx_bins, item.ny_bins def update_histogram(self, item: Histogram2DItem) -> None: """Update the histogram plot item from the parameters Args: item: 2D Histogram item """ item.logscale = int(self.logscale) item.set_background_color(self.background) item.set_bins(self.nx_bins, self.ny_bins) self.update_item(item) class Histogram2DParam_MS(Histogram2DParam): _multiselection = True ItemParameters.register_multiselection(Histogram2DParam, Histogram2DParam_MS) PlotPyStack-PlotPy-2af0906/plotpy/styles/image.py000066400000000000000000000516111525747167300220400ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING, Any, Callable import numpy as np from guidata.dataset import ( BeginGroup, BoolItem, ChoiceItem, ColorItem, DataSet, EndGroup, FloatItem, GetAttrProp, ImageChoiceItem, IntItem, StringItem, ) from qtpy import QtGui as QG from plotpy._scaler import INTERP_AA, INTERP_LINEAR, INTERP_NEAREST from plotpy.config import _ from plotpy.constants import LUTAlpha from plotpy.mathutils.colormap import ( ALL_COLORMAPS, LARGE_ICON_HEIGHT, LARGE_ICON_ORIENTATION, LARGE_ICON_WIDTH, build_icon_from_cmap_name, ) from plotpy.styles.base import ItemParameters if TYPE_CHECKING: from guidata.dataset import DataSet from plotpy.items import ( BaseImageItem, ImageFilterItem, ImageItem, MaskedImageItem, MaskedXYImageItem, RawImageItem, RGBImageItem, TrImageItem, ) from plotpy.plot import BasePlot def _create_choices( dataset: DataSet, item: ImageChoiceItem, value: Any ) -> list[tuple[str, str, Callable[[str], QG.QIcon]]]: """Create the list of choices for the colormap item.""" choices: list[tuple[str, str, Callable[[str], QG.QIcon]]] = [] for cmap in ALL_COLORMAPS.values(): choices.append( ( cmap.name, cmap.name, lambda name: build_icon_from_cmap_name( name, LARGE_ICON_WIDTH, LARGE_ICON_HEIGHT, LARGE_ICON_ORIENTATION, 1, ), ) ) return choices # TODO: Use an "enum" like LUTAlpha for the interpolation mode as well # (and eventually for other parameters) class BaseImageParam(DataSet): """Base class for image parameters.""" _multiselection = False label = StringItem(_("Image title"), default=_("Image")).set_prop( "display", hide=GetAttrProp("_multiselection") ) alpha_function = ChoiceItem( _("Alpha function"), LUTAlpha.get_choices(), default=LUTAlpha.NONE.value, help=LUTAlpha.get_help(), ) alpha = FloatItem( _("Global alpha"), default=1.0, min=0, max=1, help=_("Global alpha value") ) _hide_colormap = False colormap = ( ImageChoiceItem(_("Colormap"), _create_choices, default="jet") .set_prop("display", hide=GetAttrProp("_hide_colormap")) .set_prop("display", size=(LARGE_ICON_WIDTH, LARGE_ICON_HEIGHT)) ) invert_colormap = BoolItem(_("Invert colormap"), default=False) keep_lut_range = BoolItem( _("Lock LUT range when updating data"), default=False, help=_( "If enabled, the LUT range is not updated when the image data changes." "
This allows to keep the same color scale for different successive " "images.

" "Note: It has no effect when a new image is added to the plot." ), ) interpolation = ChoiceItem( _("Interpolation"), [ (0, _("None (nearest pixel)")), (1, _("Linear interpolation")), (2, _("2x2 antialiasing filter")), (3, _("3x3 antialiasing filter")), (5, _("5x5 antialiasing filter")), ], default=0, help=_("Image interpolation type"), ) _formats = BeginGroup(_("Statistics string formatting")) xformat = StringItem(_("X-Axis"), default=r"%.1f") yformat = StringItem(_("Y-Axis"), default=r"%.1f") zformat = StringItem(_("Z-Axis"), default=r"%.1f") _end_formats = EndGroup(_("Statistics string formatting")) def get_units(self) -> tuple[str, str, str]: """Get the units for the x, y and z axes. Returns: The units for the x, y and z axes. """ try: xunit = self.xformat.split()[1] except IndexError: xunit = "" try: yunit = self.yformat.split()[1] except IndexError: yunit = "" try: zunit = self.zformat.split()[1] except IndexError: zunit = "" return xunit, yunit, zunit def update_param(self, item: BaseImageItem) -> None: """Update the parameters from the given image item. Args: item: The image item to update the parameters from. """ self.label = str(item.title().text()) cmap = item.get_color_map() if cmap is not None: self.colormap = cmap.name self.invert_colormap = cmap.invert interpolation = item.get_interpolation() mode = interpolation[0] if mode == INTERP_NEAREST: self.interpolation = 0 elif mode == INTERP_LINEAR: self.interpolation = 1 else: size = interpolation[1].shape[0] self.interpolation = size def update_item(self, item: BaseImageItem) -> None: """Update the given image item from the parameters. Args: item: The image item to update. """ if isinstance(self.alpha_function, LUTAlpha): self.alpha_function = self.alpha_function.value plot: BasePlot = item.plot() if plot is not None: plot.blockSignals(True) # Avoid unwanted calls of update_param # triggered by the setter methods below item.setTitle(self.label) item.set_color_map(self.colormap, self.invert_colormap) size = self.interpolation if size == 0: mode = INTERP_NEAREST elif size == 1: mode = INTERP_LINEAR else: mode = INTERP_AA item.set_interpolation(mode, size) if plot is not None: plot.blockSignals(False) class QuadGridParam(DataSet): """Parameters for the grid of a quad item.""" _multiselection = False label = StringItem(_("Image title"), default=_("Image")).set_prop( "display", hide=GetAttrProp("_multiselection") ) alpha_function = ChoiceItem( _("Alpha function"), LUTAlpha.get_choices(), default=LUTAlpha.NONE.value, help=LUTAlpha.get_help(), ) alpha = FloatItem( _("Global alpha"), default=1.0, min=0, max=1, help=_("Global alpha value") ) _hide_colormap = False colormap = ImageChoiceItem(_("Colormap"), _create_choices, default="jet").set_prop( "display", hide=GetAttrProp("_hide_colormap") ) invert_colormap = BoolItem(_("Invert colormap"), default=False) interpolation = ChoiceItem( _("Interpolation"), [(0, _("Quadrangle interpolation")), (1, _("Flat"))], default=0, help=_( "Image interpolation type, Flat mode use fixed u,v interpolation parameters" ), ) uflat = FloatItem( _("Fixed U interpolation parameter"), default=0.5, min=0.0, max=1.0, help=_("For flat mode only"), ) vflat = FloatItem( _("Fixed V interpolation parameter"), default=0.5, min=0.0, max=1.0, help=_("For flat mode only"), ) grid = BoolItem(_("Show grid"), default=False) gridcolor = ColorItem(_("Grid lines color"), default="black") def update_param(self, item: BaseImageItem) -> None: """Update the parameters from the given image item. Args: item: The image item to update the parameters from. """ self.label = str(item.title().text()) cmap = item.get_color_map() if cmap is not None: self.colormap = cmap.name self.invert_colormap = cmap.invert interp, uflat, vflat = item.interpolate self.interpolation = interp self.uflat = uflat self.vflat = vflat self.grid = item.grid def update_item(self, item: BaseImageItem) -> None: """Update the given image item from the parameters. Args: item: The image item to update. """ if isinstance(self.alpha_function, LUTAlpha): self.alpha_function = self.alpha_function.value plot = item.plot() if plot is not None: plot.blockSignals(True) # Avoid unwanted calls of update_param # triggered by the setter methods below item.setTitle(self.label) item.set_color_map(self.colormap, self.invert_colormap) item.interpolate = (self.interpolation, self.uflat, self.vflat) item.grid = self.grid if plot is not None: plot.blockSignals(False) class RawImageParam(BaseImageParam): """Parameters for a raw image.""" _hide_background = False background = ColorItem(_("Background color"), default="#000000").set_prop( "display", hide=GetAttrProp("_hide_background") ) def update_param(self, item: RawImageItem) -> None: """Update the parameters from the given image item. Args: item: The image item from which to update the parameters. """ super().update_param(item) self.background = str(QG.QColor(item.bg_qcolor).name()) def update_item(self, item: RawImageItem) -> None: """Update the given image item from the parameters. Args: item: The image item to update. """ super().update_item(item) plot: BasePlot = item.plot() if plot is not None: plot.blockSignals(True) # Avoid unwanted calls of update_param # triggered by the setter methods below item.set_background_color(self.background) if plot is not None: plot.blockSignals(False) class RawImageParam_MS(RawImageParam): """Parameters for a raw image (multiselection).""" _multiselection = True ItemParameters.register_multiselection(RawImageParam, RawImageParam_MS) class XYImageParam(RawImageParam): """Parameters for an XY image.""" pass class XYImageParam_MS(XYImageParam): """Parameters for an XY image (multiselection).""" _multiselection = True ItemParameters.register_multiselection(XYImageParam, XYImageParam_MS) class ImageParam(RawImageParam): """Parameters for an image.""" lock_position = BoolItem( _("Lock position"), _("Position"), default=True, help=_("Locked images are not movable with the mouse"), ) _xdata = BeginGroup(_("Image placement along X-axis")) xmin = FloatItem(_("x|min"), default=None, check=False) xmax = FloatItem(_("x|max"), default=None, check=False) _end_xdata = EndGroup(_("Image placement along X-axis")) _ydata = BeginGroup(_("Image placement along Y-axis")) ymin = FloatItem(_("y|min"), default=None, check=False) ymax = FloatItem(_("y|max"), default=None, check=False) _end_ydata = EndGroup(_("Image placement along Y-axis")) def update_param(self, item: ImageItem) -> None: """Update the parameters from the given image item. Args: item: The image item from which to update the parameters. """ super().update_param(item) self.xmin = item.xmin self.ymin = item.ymin self.xmax = item.xmax self.ymax = item.ymax def update_item(self, item: ImageItem) -> None: """Update the given image item from the parameters. Args: item: The image item to update. """ super().update_item(item) plot: BasePlot = item.plot() if plot is not None: plot.blockSignals(True) # Avoid unwanted calls of update_param # triggered by the setter methods below item.xmin = self.xmin item.xmax = self.xmax item.ymin = self.ymin item.ymax = self.ymax item.update_bounds() item.update_border() if plot is not None: plot.blockSignals(False) class ImageParam_MS(ImageParam): """Parameters for an image (multiselection).""" _multiselection = True ItemParameters.register_multiselection(ImageParam, ImageParam_MS) class RGBImageParam(ImageParam): """Parameters for an RGB image.""" _hide_background = True _hide_colormap = True def update_item(self, item: RGBImageItem) -> None: """Update the given image item from the parameters. Args: item: The image item to update. """ super().update_item(item) plot = item.plot() if plot is not None: plot.blockSignals(True) # Avoid unwanted calls of update_param # triggered by the setter methods below item.recompute_alpha_channel() if plot is not None: plot.blockSignals(False) class RGBImageParam_MS(RGBImageParam): """Parameters for an RGB image (multiselection).""" _multiselection = True ItemParameters.register_multiselection(RGBImageParam, RGBImageParam_MS) class MaskedImageParamMixin(DataSet): """Mixin for masked image parameters.""" g_mask = BeginGroup(_("Mask")) filling_value = FloatItem(_("Filling value"), allow_none=True) show_mask = BoolItem(_("Show image mask"), default=False) alpha_masked = FloatItem(_("Masked area alpha"), default=0.7, min=0, max=1) alpha_unmasked = FloatItem(_("Unmasked area alpha"), default=0.0, min=0, max=1) _g_mask = EndGroup(_("Mask")) def _update_item(self, item: MaskedImageItem) -> None: """Update the given masked image item from the parameters. Args: item: The masked image item to update. """ plot: BasePlot = item.plot() if plot is not None: plot.blockSignals(True) # Avoid unwanted calls of update_param # triggered by the setter methods below item.update_mask() if plot is not None: plot.blockSignals(False) class MaskedImageParam(ImageParam, MaskedImageParamMixin): """Parameters for a masked image.""" def update_item(self, item: MaskedImageItem) -> None: """Update the given image item from the parameters. Args: item: The image item to update. """ super().update_item(item) self._update_item(item) class MaskedXYImageParam(XYImageParam, MaskedImageParamMixin): """Parameters for a masked XY image.""" def update_item(self, item: MaskedXYImageItem) -> None: """Update the given image item from the parameters. Args: item: The image item to update. """ super().update_item(item) self._update_item(item) class MaskedImageParam_MS(MaskedImageParam): """Parameters for a masked image (multiselection).""" _multiselection = True class MaskedXYImageParam_MS(MaskedXYImageParam): """Parameters for a masked XY image (multiselection).""" _multiselection = True ItemParameters.register_multiselection(MaskedImageParam, MaskedImageParam_MS) ItemParameters.register_multiselection(MaskedXYImageParam, MaskedXYImageParam_MS) class ImageFilterParam(BaseImageParam): """Parameters for an image filter.""" label = StringItem(_("Title"), default=_("Filter")) g1 = BeginGroup(_("Bounds")) xmin = FloatItem(_("x|min"), default=0.0) xmax = FloatItem(_("x|max"), default=1.0) ymin = FloatItem(_("y|min"), default=0.0) ymax = FloatItem(_("y|max"), default=1.0) _g1 = EndGroup("sub-group") use_source_cmap = BoolItem( _("Use image colormap and level"), _("Color map"), default=True ) def update_param(self, item: ImageFilterItem) -> None: """Update the parameters from the given image filter item. Args: item: The image filter item from which to update the parameters. """ self.xmin, self.ymin, self.xmax, self.ymax = item.border_rect.get_rect() self.use_source_cmap = item.use_source_cmap super().update_param(item) def update_imagefilter(self, item: ImageFilterItem) -> None: """Update the given image filter item from the parameters. Args: item: The image filter item to update. """ m, M = item.get_lut_range() set_range = False if not self.use_source_cmap and item.use_source_cmap: set_range = True item.use_source_cmap = self.use_source_cmap if set_range: item.set_lut_range([m, M]) self.update_item(item) item.border_rect.set_rect(self.xmin, self.ymin, self.xmax, self.ymax) class TrImageParam(RawImageParam): """Parameters for a transformed image.""" lock_position = BoolItem( _("Lock position"), _("Position"), default=False, help=_("Locked images are not movable with the mouse"), ) _crop = BeginGroup(_("Crop")).set_prop( "display", hide=GetAttrProp("_multiselection") ) crop_left = IntItem(_("Left"), default=0) crop_right = IntItem(_("Right"), default=0) crop_top = IntItem(_("Top"), default=0) crop_bottom = IntItem(_("Bottom"), default=0) _end_crop = EndGroup(_("Cropping")).set_prop( "display", hide=GetAttrProp("_multiselection") ) _ps = BeginGroup(_("Pixel size")).set_prop( "display", hide=GetAttrProp("_multiselection") ) dx = FloatItem(_("Width (dx)"), default=1.0) dy = FloatItem(_("Height (dy)"), default=1.0) _end_ps = EndGroup(_("Pixel size")).set_prop( "display", hide=GetAttrProp("_multiselection") ) _pos = BeginGroup(_("Translate, rotate and flip")) pos_x0 = FloatItem(_("xCENTER"), default=0.0).set_prop( "display", hide=GetAttrProp("_multiselection") ) hflip = BoolItem(_("Flip horizontally"), default=False).set_prop("display", col=1) pos_y0 = FloatItem(_("yCENTER"), default=0.0).set_prop( "display", hide=GetAttrProp("_multiselection") ) vflip = BoolItem(_("Flip vertically"), default=False).set_prop("display", col=1) pos_angle = FloatItem(_("ฮธ (ยฐ)"), default=0.0).set_prop("display", col=0) _end_pos = EndGroup(_("Translate, rotate and flip")) def update_param(self, item: TrImageItem) -> None: """Update the parameters from the given image item. Args: item: The image item from which to update the parameters. """ super().update_param(item) # we don't get crop info from the image because # its not easy to extract from the transform # and TrImageItem keeps it's crop information # directly in this DataSet def update_item(self, item: TrImageItem) -> None: """Update the given image item from the parameters. Args: item: The image item to update. """ RawImageParam.update_item(self, item) plot: BasePlot = item.plot() if plot is not None: plot.blockSignals(True) # Avoid unwanted calls of update_param # triggered by the setter methods below item.set_transform(*self.get_transform()) if plot is not None: plot.blockSignals(False) def get_transform(self) -> tuple[float, float, float, float, float, bool, bool]: """Get the transformation parameters. Returns: The transformation parameters: x0, y0, angle, dx, dy, hflip, vflip. """ return ( self.pos_x0, self.pos_y0, self.pos_angle * np.pi / 180, self.dx, self.dy, self.hflip, self.vflip, ) def set_transform( self, x0: float, y0: float, angle: float, dx: float = 1.0, dy: float = 1.0, hflip: bool = False, vflip: bool = False, ) -> None: """Set the transformation parameters. Args: x0: The x-coordinate of the center of the image. y0: The y-coordinate of the center of the image. angle: The rotation angle in degrees. dx: The width of the image. dy: The height of the image. hflip: Flip the image horizontally. vflip: Flip the image vertically. """ self.pos_x0 = x0 self.pos_y0 = y0 self.pos_angle = angle * 180 / np.pi self.dx = dx self.dy = dy self.hflip = hflip self.vflip = vflip def set_crop(self, left: int, top: int, right: int, bottom: int) -> None: """Set the crop parameters. Args: left: The left crop. top: The top crop. right: The right crop. bottom: The bottom crop. """ self.crop_left = left self.crop_right = right self.crop_top = top self.crop_bottom = bottom def get_crop(self) -> tuple[int, int, int, int]: """Get the crop parameters. Returns: The crop parameters: left, top, right, bottom. """ return (self.crop_left, self.crop_top, self.crop_right, self.crop_bottom) class TrImageParam_MS(TrImageParam): """Parameters for a transformed image (multiselection).""" _multiselection = True ItemParameters.register_multiselection(TrImageParam, TrImageParam_MS) PlotPyStack-PlotPy-2af0906/plotpy/styles/label.py000066400000000000000000000222611525747167300220340ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING from guidata.dataset import ( BeginGroup, BeginTabGroup, BoolItem, ChoiceItem, ColorItem, DataSet, EndGroup, EndTabGroup, FloatItem, GetAttrProp, IntItem, NotProp, Obj, StringItem, TextItem, update_dataset, ) from qtpy import QtGui as QG from plotpy.config import _ from plotpy.styles.base import FontItem, ItemParameters, LineStyleItem, SymbolItem if TYPE_CHECKING: from plotpy.items import LabelItem, LegendBoxItem class LabelParam(DataSet): """Parameters for a label item.""" _multiselection = False _legend = False _no_contents = True label = StringItem(_("Title"), default="").set_prop( "display", hide=GetAttrProp("_multiselection") ) _styles = BeginTabGroup("Styles") # -------------------------------------------------------------- Contents tab ___cont = BeginGroup(_("Contents")).set_prop( "display", icon="label.png", hide=GetAttrProp("_no_contents") ) contents = TextItem("", default="").set_prop( "display", hide=GetAttrProp("_no_contents") ) ___econt = EndGroup(_("Contents")).set_prop( "display", hide=GetAttrProp("_no_contents") ) # ---------------------------------------------------------------- Symbol tab symbol = SymbolItem(_("Symbol")).set_prop( "display", icon="diamond.png", hide=GetAttrProp("_legend") ) # ---------------------------------------------------------------- Border tab border = LineStyleItem( _("Border"), default=Obj(color="#cbcbcb"), help=_("set width to 0 to disable") ).set_prop("display", icon="dashdot.png") # ------------------------------------------------------------------ Text tab ___text = BeginGroup(_("Text")).set_prop("display", icon="font.png") font = FontItem(_("Text font")) color = ColorItem(_("Text color"), default="#000000") bgcolor = ColorItem(_("Background color"), default="#ffffff") bgalpha = FloatItem(_("Background transparency"), min=0.0, max=1.0, default=0.8) ___etext = EndGroup(_("Text")) # -------------------------------------------------------------- Position tab ___position = BeginGroup(_("Position")).set_prop("display", icon="move.png") _begin_anchor = BeginGroup(_("Position relative to anchor")).set_prop( "display", hide=GetAttrProp("_multiselection") ) anchor = ChoiceItem( _("Corner"), [ ("TL", _("Top left")), ("TR", _("Top right")), ("BL", _("Bottom left")), ("BR", _("Bottom right")), ("L", _("Left")), ("R", _("Right")), ("T", _("Top")), ("B", _("Bottom")), ("C", _("Center")), ], default="TL", help=_("Label position relative to anchor point"), ).set_prop("display", hide=GetAttrProp("_multiselection")) xc = IntItem( _("ฮ”X"), default=5, help=_("Horizontal offset (pixels) relative to anchor point"), ).set_prop("display", hide=GetAttrProp("_multiselection")) yc = ( IntItem( _("ฮ”Y"), default=5, help=_("Vertical offset (pixels) relative to anchor point"), ) .set_pos(col=1) .set_prop("display", hide=GetAttrProp("_multiselection")) ) _end_anchor = EndGroup(_("Anchor")).set_prop( "display", hide=GetAttrProp("_multiselection") ) _begin_anchorpos = BeginGroup(_("Anchor position")).set_prop( "display", hide=GetAttrProp("_multiselection") ) _abspos_prop = GetAttrProp("abspos") abspos = ( BoolItem(text=_("Attach to canvas"), label=_("Anchor"), default=True) .set_prop("display", store=_abspos_prop) .set_prop("display", hide=GetAttrProp("_multiselection")) ) xg = ( FloatItem(_("X"), default=0.0, help=_("X-axis position in canvas coordinates")) .set_prop("display", active=NotProp(_abspos_prop)) .set_prop("display", hide=GetAttrProp("_multiselection")) ) yg = ( FloatItem(_("Y"), default=0.0, help=_("Y-axis position in canvas coordinates")) .set_pos(col=1) .set_prop("display", active=NotProp(_abspos_prop)) .set_prop("display", hide=GetAttrProp("_multiselection")) ) move_anchor = ( ChoiceItem( _("Interact"), ( (True, _("moving object changes anchor position")), (False, _("moving object changes label position")), ), default=True, ) .set_prop("display", active=NotProp(_abspos_prop)) .set_prop("display", hide=GetAttrProp("_multiselection")) ) absg = ( ChoiceItem( _("Position"), [ ("TL", _("Top left")), ("TR", _("Top right")), ("BL", _("Bottom left")), ("BR", _("Bottom right")), ("L", _("Left")), ("R", _("Right")), ("T", _("Top")), ("B", _("Bottom")), ("C", _("Center")), ], default="TL", help=_("Absolute position on canvas"), ) .set_prop("display", active=_abspos_prop) .set_prop("display", hide=GetAttrProp("_multiselection")) ) _end_anchorpos = EndGroup(_("Anchor position")).set_prop( "display", hide=GetAttrProp("_multiselection") ) ___eposition = EndGroup(_("Position")) # ----------------------------------------------------------------------- End _endstyles = EndTabGroup("Styles") def update_param(self, item: LabelItem) -> None: """Update the parameters associated with the label item. Args: item: The label item from which to update the parameters. """ # The following is necessary only for shape labels: # when shape is just created (and not yet moved), we need to update # these attributes update_dataset(self, item.labelparam) if self.abspos: self.absg = item.G else: self.xg, self.yg = item.G self.xc, self.yc = item.C self.label = item.title().text() def update_item(self, item: LabelItem) -> None: """Update the label item with the parameters. Args: item: The label item to update. """ if not self._multiselection: if self.abspos: item.G = self.absg else: item.G = (self.xg, self.yg) item.C = self.xc, self.yc item.anchor = self.anchor item.setTitle(self.label) item.marker = self.symbol.build_symbol() item.border_pen = self.border.build_pen() item.set_text_style(self.font.build_font(), self.color) color = QG.QColor(self.bgcolor) color.setAlphaF(self.bgalpha) item.bg_brush = QG.QBrush(color) class LabelParam_MS(LabelParam): """Parameters for a label item in multiselection mode.""" _multiselection = True ItemParameters.register_multiselection(LabelParam, LabelParam_MS) class LegendParam(LabelParam): """Parameters for a legend box item.""" _legend = True label = StringItem(_("Title"), default="").set_prop("display", hide=True) def update_item(self, item: LegendBoxItem) -> None: """Update the legend item with the parameters. Args: item: The legend item to update. """ super().update_item(item) if not self._multiselection: item.setTitle(self.get_title()) class LegendParam_MS(LegendParam): """Parameters for a legend box item in multiselection mode.""" _multiselection = True ItemParameters.register_multiselection(LegendParam, LegendParam_MS) class LabelParamWithContents(LabelParam): """Parameters for a label item with contents. Args: title: The title of the label item. comment: The comment associated with the label item. icon: The icon associated with the label item. """ _no_contents = False def __init__( self, title: str | None = None, comment: str | None = None, icon: str = "" ) -> None: self.plain_text = None super().__init__(title, comment, icon) def update_param(self, item: LabelItem) -> None: """Update the parameters associated with the label item. Args: item: The label item from which to update the parameters. """ super().update_param(item) self.contents = self.plain_text = item.get_plain_text() def update_item(self, item: LabelItem) -> None: """Update the label item with the parameters. Args: item: The label item to update. """ super().update_item(item) if self.plain_text is not None and self.contents != self.plain_text: text = self.contents.replace("\n", "
") item.set_text(text) class LabelParamWithContents_MS(LabelParamWithContents): """Parameters for a label item with contents in multiselection mode.""" _multiselection = True ItemParameters.register_multiselection( LabelParamWithContents, LabelParamWithContents_MS ) PlotPyStack-PlotPy-2af0906/plotpy/styles/polygonmap.py000066400000000000000000000030501525747167300231350ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING from guidata.dataset import DataSet, GetAttrProp, StringItem from plotpy.config import _ from plotpy.styles.base import ItemParameters if TYPE_CHECKING: from plotpy.items import PolygonMapItem class PolygonMapParam(DataSet): """Dataset defining the parameters of a PolygonMapItem instance""" _multiselection = False label = StringItem(_("Title"), default="").set_prop( "display", hide=GetAttrProp("_multiselection") ) def update_param(self, item: PolygonMapItem) -> None: """Updates the parameters using values from a given PolygonMapItem Args: item: reference PolygonMapItem instance """ self.label = str(item.title().text()) def update_item(self, item: PolygonMapItem) -> None: """Updates a given PolygonMapItem using the current parameters Args: item: instance of PolygonMapItem to update """ plot = item.plot() if plot is not None: plot.blockSignals(True) # Avoid unwanted calls of update_param # triggered by the setter methods below if not self._multiselection: # Non common parameters item.setTitle(self.label) if plot is not None: plot.blockSignals(False) class PolygonParam_MS(PolygonMapParam): """Same as PolygonParam but for multiselection""" _multiselection = True ItemParameters.register_multiselection(PolygonMapParam, PolygonParam_MS) PlotPyStack-PlotPy-2af0906/plotpy/styles/shape.py000066400000000000000000000340061525747167300220550ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING import numpy as np from guidata.dataset import ( BeginGroup, BeginTabGroup, BoolItem, ColorItem, DataSet, EndGroup, EndTabGroup, FloatArrayItem, FloatItem, GetAttrProp, ImageChoiceItem, IntItem, StringItem, ) from qtpy import QtGui as QG from qwt import QwtPlotMarker from plotpy.config import _ from plotpy.styles.base import ( MARKERSTYLE_CHOICES, MARKERSTYLE_NAME, MARKERSTYLES, BrushStyleItem, ItemParameters, LineStyleItem, SymbolItem, TextStyleItem, ) if TYPE_CHECKING: from plotpy.items import AnnotatedShape, Axes, Marker, PolygonShape, XRangeSelection from plotpy.plot import BasePlot from plotpy.styles import ( BrushStyleParam, LineStyleParam, SymbolParam, TextStyleParam, ) class MarkerParam(DataSet): """Parameters for a marker item""" _styles = BeginTabGroup("Styles") # ------------------------------------------------------------------ Line tab ___line = BeginGroup(_("Line")).set_prop("display", icon="dashdot.png") line = LineStyleItem(_("Line (not selected)")) sel_line = LineStyleItem(_("Line (selected)")) ___eline = EndGroup(_("Line")) # ---------------------------------------------------------------- Symbol tab ___sym = BeginGroup(_("Symbol")).set_prop("display", icon="diamond.png") symbol = SymbolItem(_("Symbol (not selected)")) sel_symbol = SymbolItem(_("Symbol (selected)")) ___esym = EndGroup(_("Symbol")) # ------------------------------------------------------------------ Text tab ___text = BeginGroup(_("Text")).set_prop("display", icon="font.png") text = TextStyleItem(_("Text (not selected)")) sel_text = TextStyleItem(_("Text (selected)")) ___etext = EndGroup(_("Text")) # ----------------------------------------------------------------------- End _endstyles = EndTabGroup("Styles") markerstyle = ImageChoiceItem( _("Line style"), MARKERSTYLE_CHOICES, default="NoLine" ) spacing = IntItem(_("Spacing"), default=10, min=0) def update_param(self, obj: Marker) -> None: """Update parameters from object Args: obj: Marker object """ self.symbol: SymbolParam self.text: TextStyleParam self.line: LineStyleParam self.sel_symbol: SymbolParam self.sel_text: TextStyleParam self.sel_line: LineStyleParam if obj.selected: symbol = self.sel_symbol text = self.sel_text line = self.sel_line else: symbol = self.symbol text = self.text line = self.line symbol.update_param(obj.symbol()) text.update_param(obj.label()) line.update_param(obj.linePen()) self.markerstyle = MARKERSTYLE_NAME[obj.lineStyle()] self.spacing = obj.spacing() def update_item(self, item: Marker) -> None: """Update object from parameters Args: item: Marker object """ if item.selected: line = self.sel_line symb = self.sel_symbol text = self.sel_text else: line = self.line symb = self.symbol text = self.text symb.update_symbol(item) label = item.label() text.update_text(label) item.setLabel(label) item.setLinePen(line.build_pen()) item.setLineStyle(getattr(QwtPlotMarker, self.markerstyle)) item.setSpacing(self.spacing) item.update_label() def set_markerstyle(self, style: None | str | int) -> None: """Set marker line style Args: style: line style. It can be one of the following: * convenient values: '+', '-', '|' or None * `QwtPlotMarker.NoLine`, `QwtPlotMarker.Vertical`, ... """ self.markerstyle = MARKERSTYLES.get(style, style) class ShapeParam(DataSet): """Parameters for a shape item""" label = StringItem(_("Title"), default="") _styles = BeginTabGroup("Styles") # ------------------------------------------------------------------ Line tab ___line = BeginGroup(_("Line")).set_prop("display", icon="dashdot.png") line = LineStyleItem(_("Line (not selected)")) sel_line = LineStyleItem(_("Line (selected)")) ___eline = EndGroup(_("Line")) # ---------------------------------------------------------------- Symbol tab ___sym = BeginGroup(_("Symbol")).set_prop("display", icon="diamond.png") symbol = SymbolItem(_("Symbol (not selected)")) sel_symbol = SymbolItem(_("Symbol (selected)")) ___esym = EndGroup(_("Symbol")) # ------------------------------------------------------------------ Fill tab ___fill = BeginGroup(_("Fill pattern")).set_prop( "display", icon="dense6pattern.png" ) fill = BrushStyleItem(_("Fill pattern (not selected)")) sel_fill = BrushStyleItem(_("Fill pattern (selected)")) ___efill = EndGroup(_("Fill pattern")) # ----------------------------------------------------------------------- End _endstyles = EndTabGroup("Styles") readonly = BoolItem( _("Read-only shape"), default=False, help=_("Read-only shapes can't be removed from the item list panel"), ) private = BoolItem( _("Private shape"), default=False, help=_("Private shapes are not shown in the item list panel"), ).set_pos(col=1) def update_param(self, obj: PolygonShape) -> None: """Update parameters from object Args: obj: Shape object """ self.line: LineStyleParam self.symbol: SymbolParam self.fill: BrushStyleParam self.sel_line: LineStyleParam self.sel_symbol: SymbolParam self.sel_fill: BrushStyleParam self.label = str(obj.title().text()) self.line.update_param(obj.pen) self.symbol.update_param(obj.symbol) self.fill.update_param(obj.brush) self.sel_line.update_param(obj.sel_pen) self.sel_symbol.update_param(obj.sel_symbol) self.sel_fill.update_param(obj.sel_brush) self.readonly = obj.is_readonly() self.private = obj.is_private() def update_item(self, item: PolygonShape) -> None: """Update object from parameters Args: item: Shape object """ plot: BasePlot = item.plot() if plot is not None: plot.blockSignals(True) # Avoid unwanted calls of update_param # triggered by the setter methods below item.setTitle(self.label) item.pen = self.line.build_pen() item.symbol = self.symbol.build_symbol() item.brush = self.fill.build_brush() item.sel_pen = self.sel_line.build_pen() item.sel_symbol = self.sel_symbol.build_symbol() item.sel_brush = self.sel_fill.build_brush() item.set_readonly(self.readonly) item.set_private(self.private) if plot is not None: plot.blockSignals(False) class AxesShapeParam(DataSet): """Parameters for an axes item""" arrow_angle = FloatItem( _("Arrow angle") + " (ยฐ)", min=0.0, max=90.0, default=15.0, nonzero=True ) arrow_size = FloatItem( _("Arrow size") + " (%)", min=0.0, max=100.0, default=0.05, nonzero=True ) _styles = BeginTabGroup("Styles") # ------------------------------------------------------------------ Line tab ___line = BeginGroup(_("Line")).set_prop("display", icon="dashdot.png") xarrow_pen = LineStyleItem(_("Line (X-Axis)")) yarrow_pen = LineStyleItem(_("Line (Y-Axis)")) ___eline = EndGroup(_("Line")) # ------------------------------------------------------------------ Fill tab ___fill = BeginGroup(_("Fill pattern")).set_prop( "display", icon="dense6pattern.png" ) xarrow_brush = BrushStyleItem(_("Fill pattern (X-Axis)")) yarrow_brush = BrushStyleItem(_("Fill pattern (Y-Axis)")) ___efill = EndGroup(_("Fill pattern")) # ----------------------------------------------------------------------- End _endstyles = EndTabGroup("Styles") def update_param(self, item: Axes) -> None: """Update parameters from object Args: obj: Axes object """ self.xarrow_pen: LineStyleParam self.yarrow_pen: LineStyleParam self.xarrow_brush: BrushStyleParam self.yarrow_brush: BrushStyleParam self.arrow_angle = item.arrow_angle self.arrow_size = item.arrow_size self.xarrow_pen.update_param(item.x_pen) self.yarrow_pen.update_param(item.y_pen) self.xarrow_brush.update_param(item.x_brush) self.yarrow_brush.update_param(item.y_brush) def update_item(self, item: Axes) -> None: """Update object from parameters Args: obj: Axes object """ item.arrow_angle = self.arrow_angle item.arrow_size = self.arrow_size item.x_pen = self.xarrow_pen.build_pen() item.x_brush = self.xarrow_brush.build_brush() item.y_pen = self.yarrow_pen.build_pen() item.y_brush = self.yarrow_brush.build_brush() class AnnotationParam(DataSet): """Parameters for annotations""" _multiselection = False show_label = BoolItem(_("Show annotation"), default=True) show_computations = BoolItem( _("Show informations on area covered by this shape"), default=True ) show_subtitle = BoolItem(_("Show subtitle"), default=True) title = StringItem(_("Title"), default="").set_prop( "display", hide=GetAttrProp("_multiselection") ) subtitle = StringItem(_("Subtitle"), default="").set_prop( "display", hide=GetAttrProp("_multiselection") ) format = StringItem(_("String formatting"), default="%.1f") uncertainty = FloatItem( _("Uncertainty"), default=0.0, min=0.0, max=1.0, help=_("Measurement relative uncertainty"), ).set_pos(col=1) transform_matrix = FloatArrayItem( _("Transform matrix"), default=np.eye(3, dtype=float) ) readonly = BoolItem( _("Read-only shape"), default=False, help=_("Read-only shapes can't be removed from the item list panel"), ) private = BoolItem( _("Private shape"), default=False, help=_("Private shapes are not shown in the item list panel"), ).set_pos(col=1) def update_param(self, obj: AnnotatedShape) -> None: """Update parameters from object Args: obj: AnnotatedShape object """ self.show_label = obj.is_label_visible() self.show_computations = obj.area_computations_visible self.show_subtitle = obj.subtitle_visible self.title = str(obj.title().text()) self.readonly = obj.is_readonly() self.private = obj.is_private() def update_item(self, item: AnnotatedShape) -> None: """Update object from parameters Args: obj: AnnotatedShape object """ plot: BasePlot = item.plot() if plot is not None: plot.blockSignals(True) # Avoid unwanted calls of update_param # triggered by the setter methods below item.setTitle(self.title) item.set_label_visible(self.show_label) item.area_computations_visible = self.show_computations item.subtitle_visible = self.show_subtitle item.update_label() item.set_readonly(self.readonly) item.set_private(self.private) if plot is not None: plot.blockSignals(False) class AnnotationParam_MS(AnnotationParam): """Parameters for annotations with multi-selection enabled""" _multiselection = True ItemParameters.register_multiselection(AnnotationParam, AnnotationParam_MS) class RangeShapeParam(DataSet): """Parameters for a range selection item""" label = StringItem(_("Title"), default="") _styles = BeginTabGroup("Styles") # ------------------------------------------------------------------ Line tab ___line = BeginGroup(_("Line")).set_prop("display", icon="dashdot.png") line = LineStyleItem(_("Line (not selected)")) sel_line = LineStyleItem(_("Line (selected)")) ___eline = EndGroup(_("Line")) # ---------------------------------------------------------------- Symbol tab ___symbol = BeginGroup(_("Symbol")).set_prop("display", icon="diamond.png") symbol = SymbolItem(_("Symbol (not selected)")) sel_symbol = SymbolItem(_("Symbol (selected)")) ___esymbol = EndGroup(_("Symbol")) # ------------------------------------------------------------------ Fill tab ___fill = BeginGroup(_("Fill")).set_prop("display", icon="dense6pattern.png") fill = ColorItem(_("Fill color")) shade = FloatItem(_("Shade"), default=0.05, min=0, max=1) ___efill = EndGroup(_("Fill")) # ----------------------------------------------------------------------- End _endstyles = EndTabGroup("Styles") def update_param(self, obj: XRangeSelection) -> None: """Update parameters from object Args: obj: XRangeSelection object """ self.label = str(obj.title().text()) self.line: LineStyleParam self.sel_line: LineStyleParam self.symbol: SymbolParam self.sel_symbol: SymbolParam self.line.update_param(obj.pen) self.sel_line.update_param(obj.sel_pen) self.fill = obj.brush.color().name() self.shade = obj.brush.color().alphaF() self.symbol.update_param(obj.symbol) self.sel_symbol.update_param(obj.sel_symbol) def update_item(self, item: XRangeSelection) -> None: """Update object from parameters Args: range: XRangeSelection object """ item.setTitle(self.label) item.pen = self.line.build_pen() item.sel_pen = self.sel_line.build_pen() col = QG.QColor(self.fill) col.setAlphaF(self.shade) item.brush = QG.QBrush(col) item.symbol = self.symbol.build_symbol() item.sel_symbol = self.sel_symbol.build_symbol() PlotPyStack-PlotPy-2af0906/plotpy/tests/000077500000000000000000000000001525747167300202175ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/tests/__init__.py000066400000000000000000000012451525747167300223320ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ plotpy test package =================== """ import os.path as osp from guidata.configtools import get_module_data_path import plotpy # noqa: F401 TESTDATAPATH = get_module_data_path("plotpy", osp.join("tests", "data")) def get_path(filename: str) -> str: """Return absolute path of test file""" return osp.join(TESTDATAPATH, filename) def run() -> None: """Run plotpy test launcher""" from guidata.guitest import run_testlauncher import plotpy.config # load icons run_testlauncher(plotpy) if __name__ == "__main__": run() PlotPyStack-PlotPy-2af0906/plotpy/tests/benchmarks/000077500000000000000000000000001525747167300223345ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/tests/benchmarks/__init__.py000066400000000000000000000004711525747167300244470ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ plotpy benchmarks ================= """ from .test_benchmarks import test_benchmarks def run() -> None: """Run plotpy benchmarks""" test_benchmarks() if __name__ == "__main__": run() PlotPyStack-PlotPy-2af0906/plotpy/tests/benchmarks/test_benchmarks.py000066400000000000000000000122021525747167300260570ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ PlotPy plot benchmark --------------------- This script benchmarks PlotPy plotting features. Results obtained with PlotPy v2.3.5 on Windows 11 with a i5-1335U CPU @ 1.30 GHz: .. code-block:: none PlotPy plot benchmark [Python 3.12.3 64 bits, Qt 5.15.2, PyQt 5.15.10 on Windows] N | โˆ†t (ms) | Description -------------------------------------------------------------------------------- 5e+06 | 215 | Simple curve 2e+05 | 774 | Curve with markers 1e+06 | 2411 | Curve with sticks 1e+04 | 2025 | Error bar curve (vertical bars only) 1e+04 | 198 | Error bar curve (horizontal and vertical bars) 1e+06 | 105 | Simple histogram 1e+03 | 722 | Polar pcolor 7e+03 | 902 | Simple image """ import time import guidata import numpy as np import pytest from guidata.env import execenv from guidata.qthelpers import qt_app_context from guidata.widgets import about from qtpy import QtWidgets as QW from plotpy.builder import make from plotpy.plot import PlotOptions, PlotWindow class BaseBM: """Benchmark object""" MAKE_FUNC = make.curve # to be overriden in subclasses WIN_TYPE = "auto" @classmethod def print_header(cls): """Print header for benchmark results""" execenv.print(f"PlotPy plot benchmark [{about.get_python_libs_info()}]") execenv.print() table_header = ( "N".rjust(10) + " | " + "โˆ†t (ms)".rjust(7) + " | " + "Description" ).ljust(80) execenv.print(table_header) execenv.print("-" * len(table_header)) def __init__(self, name, nsamples, **options): self.name = name self.nsamples = int(nsamples) self.options = options self._item = None def compute_data(self): raise NotImplementedError def make_item(self): data = self.compute_data() self._item = self.MAKE_FUNC(*data, **self.options) def add_to_plot(self, plot): assert self._item is not None plot.add_item(self._item) def start(self): # Create plot window win = PlotWindow( toolbar=True, title=self.name, options=PlotOptions(type=self.WIN_TYPE) ) win.show() QW.QApplication.processEvents() plot = win.manager.get_plot() # Create item self.make_item() # Benchmarking t0 = time.time() self.add_to_plot(plot) plot.replot() # Force replot QW.QApplication.processEvents() dt = (time.time() - t0) * 1e3 row = f"{self.nsamples:10.0e} | {int(dt):7} | {self.name}" execenv.print(row) return win class CurveBM(BaseBM): MAKE_FUNC = make.curve WIN_TYPE = "curve" def compute_data(self): x = np.linspace(-10, 10, self.nsamples) y = np.sin(np.sin(np.sin(x))) return x, y class HistogramBM(CurveBM): MAKE_FUNC = make.histogram def compute_data(self): data = np.random.normal(size=int(self.nsamples)) return (data,) class ErrorBarBM(CurveBM): MAKE_FUNC = make.merror def __init__(self, name, nsamples, dx=False, **options): super().__init__(name, nsamples, **options) self.dx = dx def compute_data(self): x, y = super().compute_data() if not self.dx: return x, y, x / 100.0 else: return x, y, x / 100.0, x / 20.0 class ImageBM(BaseBM): MAKE_FUNC = make.image WIN_TYPE = "image" def compute_data(self): data = np.zeros((int(self.nsamples), int(self.nsamples)), dtype=np.float32) m = 10 step = int(self.nsamples / m) for i in range(m): for j in range(m): data[i * step : (i + 1) * step, j * step : (j + 1) * step] = i * m + j return (data,) class PColorBM(BaseBM): MAKE_FUNC = make.pcolor WIN_TYPE = "image" def compute_data(self): N = self.nsamples r, th = np.meshgrid(np.linspace(1.0, 16, N), np.linspace(0.0, np.pi, N)) x = r * np.cos(th) y = r * np.sin(th) z = 4 * th + r return x, y, z @pytest.mark.skip(reason="Not relevant in automated test suite") def test_benchmarks(): """Run benchmark""" # Print(informations banner) BaseBM.print_header() _app = guidata.qapplication() # Run benchmarks persist = [] with qt_app_context(exec_loop=True): for benchmark in ( CurveBM("Simple curve", 5e6), CurveBM("Curve with markers", 2e5, marker="Ellipse", markersize=10), CurveBM("Curve with sticks", 1e6, curvestyle="Sticks"), ErrorBarBM("Error bar curve (vertical bars only)", 1e4), ErrorBarBM("Error bar curve (horizontal and vertical bars)", 1e4, dx=True), HistogramBM("Simple histogram", 1e6, bins=10000), PColorBM("Polar pcolor", 1e3), ImageBM("Simple image", 7e3, interpolation="antialiasing"), ): persist.append(benchmark.start()) if __name__ == "__main__": test_benchmarks() PlotPyStack-PlotPy-2af0906/plotpy/tests/benchmarks/test_bigcurves.py000066400000000000000000000051651525747167300257450ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Curve plotting test with large datasets""" # guitest: show import timeit import numpy as np import pytest from guidata.qthelpers import qt_app_context from qtpy import QtWidgets as QW from plotpy.builder import make from plotpy.tests import vistools as ptv def __create_curve(npts: int, linewidth: float): """Create a curve with random data""" x = np.linspace(-10, 10, npts) y = np.random.normal(size=npts) curve = make.curve(x, y, color="g", linewidth=linewidth) return curve def __show_curve(curve, benchmark: bool = False): """Show the curve in a plot window""" with qt_app_context(exec_loop=not benchmark): _win = ptv.show_items( [curve], wintitle=test_curve_rendering_performance.__doc__, title="Curves", plot_type="curve", disable_readonly_for_items=False, ) if benchmark: QW.QApplication.processEvents() return _win @pytest.mark.skip(reason="Not relevant in automated test suite") def test_interactive_curve_rendering(npts: int = 500000, linewidth: float = 1.0): """Interactive test for curve rendering with large datasets""" curve = __create_curve(npts, linewidth) _win = __show_curve(curve, benchmark=False) @pytest.mark.skip(reason="Not relevant in automated test suite") def test_curve_rendering_performance(npts: int = 500000, linewidth: float = 1.0): """Test curve rendering performance with large datasets""" curve = __create_curve(npts, linewidth) # Show once before benchmarking _win = __show_curve(curve, benchmark=True) # Benchmark with multiple runs n_runs = 5 times = [] print("Benchmarking in progress", end="") for i in range(n_runs): start_time = timeit.default_timer() _win = __show_curve(curve, benchmark=True) elapsed_time = timeit.default_timer() - start_time times.append(elapsed_time) print(".", end="", flush=True) print(" done.") # Display statistics print( f"Results ({n_runs} runs): {np.mean(times):.4f} ยฑ {np.std(times):.4f} seconds" ) if __name__ == "__main__": # test_interactive_curve_rendering(10000, 2.0, False) # Test with different linewidths and antialiasing settings print("\n" + "=" * 70) print("Curve Rendering Performance Benchmark") print("=" * 70) print("\n--- Test 1: linewidth=1.0 ---") test_curve_rendering_performance(10000, 1.0) print("\n--- Test 2: linewidth=2.0 ---") test_curve_rendering_performance(10000, 2.0) PlotPyStack-PlotPy-2af0906/plotpy/tests/benchmarks/test_bigimages.py000066400000000000000000000016141525747167300256760ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Test showing 10 big images""" # guitest: show import numpy as np import pytest from guidata.qthelpers import qt_app_context from plotpy.builder import make def imshow(): win = make.dialog( toolbar=True, title="Displaying 10 big images test", size=(800, 600) ) plot = win.manager.get_plot() for i in range(10): plot.add_item(make.image(compute_image(i))) win.show() return win def compute_image(i, N=7500, M=1750): if i % 2 == 0: N, M = M, N return (np.random.rand(N, M) * 65536).astype(np.int16) @pytest.mark.skip(reason="Not relevant in automated test suite") def test_bigimages(): """Test Bigimages""" with qt_app_context(exec_loop=True): _persist_obj = imshow() if __name__ == "__main__": test_bigimages() PlotPyStack-PlotPy-2af0906/plotpy/tests/benchmarks/test_large_number_of_annotations.py000066400000000000000000000076531525747167300315230ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Large number of annotations test""" # guitest: show import timeit import numpy as np import pytest from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import data as ptd from plotpy.tests import vistools as ptv WIN_REFS = [] def plot(items, title): """Plot items""" global WIN_REFS title = f"{title} - #refs: {len(WIN_REFS) + 1}" win = ptv.show_items(items, plot_type="image", wintitle=title, title=title) WIN_REFS.append(win) return win def create_polygon_vertices( x0: float, y0: float, nb_points: int, radius_mean: float, radius_variation: float ) -> list[tuple[float, float]]: """Generate points for a polygon around (x0, y0) Args: x0: x coordinate of the polygon center y0: y coordinate of the polygon center nb_points: number of points to generate radius_mean: mean radius of the polygon radius_variation: variation in radius Returns: List of (x, y) points representing the polygon vertices """ points = [] # Calculate number of NaNs to append (random numbers between 0 and nb_points-10): num_nans = np.random.randint(0, nb_points - 10) for j in range(nb_points - num_nans): angle = j * (2 * np.pi / (nb_points - num_nans)) radius = radius_mean + radius_variation * np.random.rand() x = x0 + radius * np.cos(angle) y = y0 + radius * np.sin(angle) points.append((x, y)) for _ in range(num_nans): points.append((np.nan, np.nan)) return points def create_random_polygons( size: int, nb_polygons: int, nb_points_per_polygon: int ) -> np.ndarray: """Create random polygons Args: size: size of the area in which to create polygons nb_polygons: number of polygons to create nb_points_per_polygon: number of points per polygon Returns: Array of shape (nb_polygons, nb_points_per_polygon, 2) """ polygons = [] for _ in range(nb_polygons): x0 = size * np.random.rand() y0 = size * np.random.rand() points = create_polygon_vertices( x0, y0, nb_points_per_polygon, radius_mean=20, radius_variation=30 ) # Append the flattened points: polygons.append(points) return np.array(polygons) @pytest.mark.skip(reason="Not relevant in automated test suite") def test_large_number_of_annotations(measure_execution_time: bool = False): """Test large number of annotations Args: measure_execution_time: if True, measure and print the execution time, then quit the application immediately. """ title = "Large number of annotations test" size = 2000 nb_polygons = 100 nb_points_per_polygon = 120 with qt_app_context(exec_loop=not measure_execution_time): data = ptd.gen_image4(size, size) x = np.linspace(0, size - 1, size) y = np.linspace(0, size - 1, size) item = make.xyimage(x, y, data) item.set_readonly(True) item.set_selectable(False) items = [item] polygons = create_random_polygons(size, nb_polygons, nb_points_per_polygon) for i, points in enumerate(polygons): polygon = make.annotated_polygon(np.array(points), title=f"Polygon {i + 1}") polygon.set_closed(False) items.append(polygon) if measure_execution_time: exec_time = timeit.timeit(lambda: plot(items, title), number=10) / 10 print( f"Execution time with {nb_polygons} polygons " f"({nb_points_per_polygon} points per polygon): " f"{exec_time:.3f} seconds/plot" ) else: win = plot(items, title) win.register_annotation_tools() if __name__ == "__main__": test_large_number_of_annotations(measure_execution_time=True) PlotPyStack-PlotPy-2af0906/plotpy/tests/benchmarks/test_loadtest.py000066400000000000000000000054661525747167300255770ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Load test: instantiating a large number of image widgets""" # guitest: show import numpy as np import pytest from guidata.qthelpers import qt_app_context # import cProfile # from pstats import Stats from qtpy import QtWidgets as QW from plotpy.builder import make class PlotTab(QW.QWidget): """Tab containing a grid of image widgets""" def __init__(self): super().__init__() layout = QW.QGridLayout() self.setLayout(layout) def add_plot(self, iplt, irow, icol): """Add a plot to the grid""" widget = make.widget(self, title="Plot #%d" % (iplt + 1), type="image") widget.setMinimumSize(200, 150) xdata = np.linspace(-10, 10) ydata = np.sin(xdata + np.random.randint(0, 100) * 0.01 * np.pi) curve_item = make.curve(xdata, ydata, color="b") widget.plot.add_item(curve_item) self.layout().addWidget(widget, irow, icol, 1, 1) class LoadTest(QW.QMainWindow): """Main window containing a tab widget with a large number of plots""" def __init__(self, nplots=150, ncols=6, nrows=5): super().__init__() self.tabw = QW.QTabWidget() self.setCentralWidget(self.tabw) irow, icol, itab = 0, 0, 0 add_tab_at_next_step = True for iplt in range(nplots): if add_tab_at_next_step: plottab = self.add_tab(itab) add_tab_at_next_step = False plottab.add_plot(iplt, irow, icol) icol += 1 if icol == ncols: icol = 0 irow += 1 if irow == nrows: irow = 0 itab += 1 add_tab_at_next_step = True self.refresh() def add_tab(self, itab): """Add a tab to the tab widget""" plottab = PlotTab() self.tabw.addTab(plottab, "Tab #%d" % (itab + 1)) return plottab def refresh(self): """Force window to show up and refresh (for test purpose only)""" self.show() QW.QApplication.processEvents() @pytest.mark.skip(reason="Not relevant in automated test suite") def test_loadtest(): """Run load test""" with qt_app_context(exec_loop=True): # import time # t0 = time.time() # with cProfile.Profile() as pr: win = LoadTest(nplots=60, ncols=6, nrows=5) win.show() # print((time.time() - t0)) # with open('profiling_stats.txt', 'w') as stream: # stats = Stats(pr, stream=stream) # stats.strip_dirs() # stats.sort_stats('cumulative') # stats.dump_stats('.prof_stats') # stats.print_stats() if __name__ == "__main__": test_loadtest() PlotPyStack-PlotPy-2af0906/plotpy/tests/conftest.py000066400000000000000000000062231525747167300224210ustar00rootroot00000000000000# content of conftest.py import gc import os import guidata import h5py import numpy import PIL import pytest import qtpy import qwt import scipy import tifffile from guidata.config import ValidationMode, set_validation_mode from guidata.env import execenv from guidata.utils.gitreport import format_git_info_for_pytest, get_git_info_for_modules import plotpy # Set validation mode to STRICT for the sigima package set_validation_mode(ValidationMode.STRICT) # Turn on unattended mode for executing tests without user interaction execenv.unattended = True execenv.verbose = "quiet" def pytest_addoption(parser): """Add custom command line options to pytest.""" parser.addoption( "--show-windows", action="store_true", default=False, help="Display Qt windows during tests (disables QT_QPA_PLATFORM=offscreen)", ) def pytest_configure(config): """Configure pytest based on command line options.""" if config.option.durations is None: config.option.durations = 10 # Default to showing 10 slowest tests config.addinivalue_line( "markers", "requires_display: mark test as requiring a display " "(skipped in offscreen mode)", ) if not config.getoption("--show-windows"): os.environ.setdefault("QT_QPA_PLATFORM", "offscreen") def pytest_runtest_setup(item): """Run setup before each test.""" if "requires_display" in item.keywords: if os.environ.get("QT_QPA_PLATFORM") == "offscreen": pytest.skip("Skipped in offscreen mode (requires display)") @pytest.fixture(scope="session", autouse=True) def disable_gc_for_tests(): """Disable garbage collection for all tests in the session.""" # Important note: # --------------- # We need to disable garbage collection for all tests in the session because # this test suite is not representative of a typical application. # The high level of stress on the garbage collector can lead to false positives # in tests that rely on reference counting or finalization. # In a typical application, the garbage collector should be left enabled. gc.disable() yield gc.enable() def pytest_report_header(config): """Add additional information to the pytest report header.""" qtbindings_version = qtpy.PYSIDE_VERSION if qtbindings_version is None: qtbindings_version = qtpy.PYQT_VERSION infolist = [ f"PlotPy {plotpy.__version__}", f" guidata {guidata.__version__}, PythonQwt {qwt.__version__}, " f"{qtpy.API_NAME} {qtbindings_version} [Qt version: {qtpy.QT_VERSION}]", f" NumPy {numpy.__version__}, SciPy {scipy.__version__}, " f"h5py {h5py.__version__}, Pillow {PIL.__version__}, " f"tifffile {tifffile.__version__}", ] # Git information for all modules using the gitreport module modules_config = [ ("PlotPy", plotpy, "."), # PlotPy uses current directory ("guidata", guidata, None), ] git_repos = get_git_info_for_modules(modules_config) git_info_lines = format_git_info_for_pytest(git_repos, "PlotPy") if git_info_lines: infolist.extend(git_info_lines) return infolist PlotPyStack-PlotPy-2af0906/plotpy/tests/data.py000066400000000000000000000114731525747167300215100ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Data for tests""" from __future__ import annotations import numpy as np def gen_image1(N: int = 2000, grid: bool = True) -> np.ndarray: """Generates a cosine image with a grid, and 4 corners with different values Args: N: image size grid: if True, a grid is added to the image Returns: image array """ T = np.float32 x = np.array(np.linspace(-5, 5, N), T) img = np.zeros((N, N), T) x.shape = (1, N) img += x**2 x.shape = (N, 1) img += x**2 np.cos(img, img) # inplace cosine if not grid: return img x.shape = (N,) for k in range(-5, 5): i = x.searchsorted(k) if k < 0: v = -1.1 else: v = 1.1 img[i, :] = v img[:, i] = v m1, m2, m3, m4 = -1.1, -0.3, 0.3, 1.1 K = 100 img[:K, :K] = m1 # (0,0) img[:K, -K:] = m2 # (0,N) img[-K:, -K:] = m3 # (N,N) img[-K:, :K] = m4 # (N,0) return img def gen_image2(N: int = 1000, grid: bool = True) -> np.ndarray: """Generates a cosine image with a grid, and 4 corners with different values. It is a bit different from gen_image1, because the cosine frequency is higher and the grid step is smaller. Args: N: image size grid: if True, a grid is added to the image Returns: image array """ T = np.float64 TMAX = 32000 TMIN = 32000 S = 5.0 x = np.array(np.linspace(-5 * S, 5 * S, N), T) img = np.zeros((N, N), T) x.shape = (1, N) img += x**2 x.shape = (N, 1) img += x**2 img = TMAX * np.cos(img / S) + TMIN if not grid: return img x.shape = (N,) # dx = dy = x[1]-x[0] for k in range(-5, 5): i = x.searchsorted(k) if k < 0: v = -1.1 else: v = 1.1 img[i, :] = v img[:, i] = v m1, m2, m3, m4 = -1.1, -0.3, 0.3, 1.1 K = 100 img[:K, :K] = TMAX * m1 + TMIN # (0,0) img[:K, -K:] = TMAX * m2 + TMIN # (0,N) img[-K:, -K:] = TMAX * m3 + TMIN # (N,N) img[-K:, :K] = TMAX * m4 + TMIN # (N,0) return img def gen_image3(N: int = 1000) -> np.ndarray: """Generates a grid image with horizontal and vertical ramps Args: N: image size Returns: image array """ NK = 20 T = float img = np.zeros((N, N), T) x = np.arange(N, dtype=float) x.shape = (1, N) DK = N // NK for i in range(NK): S = i + 1 y = S * (x // S) img[DK * i : DK * (i + 1), :] = y return img def gen_image4(NX: int, NY: int) -> np.ndarray: """Generates image data based on a random normal distribution with FFT operations Args: NX: image size in X NY: image size in Y Returns: image array """ BX, BY = 40, 40 img = np.random.normal(0, 100, size=(BX, BY)) timg = np.fft.fftshift(np.fft.fft2(img)) print(timg.shape) cx = NX // 2 cy = NY // 2 bx2 = BX // 2 by2 = BY // 2 z = np.zeros((NX, NY), np.complex64) z[cx - bx2 : cx - bx2 + BX, cy - by2 : cy - by2 + BY] = timg z = np.fft.ifftshift(z) rev = np.fft.ifft2(z) return np.abs(rev) def gen_xyimage(N: int = 1000) -> tuple[np.ndarray, np.ndarray, np.ndarray]: """Generates a cosine image with a grid, and 4 corners with different values Args: N: image size grid: if True, a grid is added to the image Returns: x, y, data """ N = 1000 data = gen_image1(N=N) x = np.array(np.linspace(-5, 5, N), np.float32) data += np.random.normal(0.0, 0.05, size=(N, N)) return x, (x + 5) ** 0.6, data def gen_2d_gaussian(size, dtype, x0=0, y0=0, mu=0.0, sigma=2.0, amp=None) -> np.ndarray: """Creating 2D Gaussian (-10 <= x <= 10 and -10 <= y <= 10)""" xydata = np.linspace(-10, 10, size) x, y = np.meshgrid(xydata, xydata) if amp is None: amp = np.iinfo(dtype).max * 0.5 t = (np.sqrt((x - x0) ** 2 + (y - y0) ** 2) - mu) ** 2 return np.array(amp * np.exp(-t / (2.0 * sigma**2)), dtype=dtype) def gen_1d_gaussian( size, x0=0, mu=0.0, sigma=2.0, amp=None ) -> tuple[np.ndarray, np.ndarray]: """Creating 1D Gaussian (-10 <= x <= 10)""" x = np.linspace(-10, 10, size) if amp is None: amp = 1.0 t = (np.abs(x - x0) - mu) ** 2 y = np.array(amp * np.exp(-t / (2.0 * sigma**2)), dtype=float) return x, y def gen_xyz_data() -> tuple[np.ndarray, np.ndarray, np.ndarray]: """Create a X, Y, Z data set for contour detection features""" delta = 0.025 x, y = np.arange(-3.0, 3.0, delta), np.arange(-2.0, 2.0, delta) X, Y = np.meshgrid(x, y) Z1 = np.exp(-(X**2) - Y**2) Z2 = np.exp(-((X - 1) ** 2) - (Y - 1) ** 2) Z = (Z1 - Z2) * 2 return X, Y, Z PlotPyStack-PlotPy-2af0906/plotpy/tests/data/000077500000000000000000000000001525747167300211305ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/tests/data/brain.png000066400000000000000000001153621525747167300227410ustar00rootroot00000000000000‰PNG  IHDRy๗บgAMAฑ abKGD‡ฬฟtIME฿!I˜np€IDATxฺฌW“#Yถ.ˆA:d(„ึZ hญ5เ—pZ#TfVUwW๋>ง๛ˆซษ;3๗‡64ฃัfศGภ4ฎํQgŒ/|้HTedd‡๛ฺk}๋๛ึ^{o๎Kำ๋๐ม€>7่LF๚ห`4Œคำเ[๐™๖ |พk@Ÿมฃพ€~กำ.ก‡‹ ๐พn๘ถ3้ตึ\าค๚?Ž ำ๛—_ืมฏก0 kข[‚ฯM๐Q๛๊ฟฝ‡๖‰แใๆัoอFฝ๎๏z}ซAo6jOd†[4 ะmฃ;Bท7ฌำnโใgM๐%ฃษlิพ }ลŒกำ!‹้ัฏMp%ํNั•u่ F๘Œ}|MoDฆAoิ™อ่ ่๘]3ฒ(ฒ๖ึF๔k`/‹ษd5ร—ั ซi—ึ!ซkฟƒฎb2š ŸภŠf๔๛p:ฃษืัFˆฬk„w5˜ดัƒ744ƒi๕oรnฒ o><ฤˆพฉCฟซ™ึd5"Ÿ๚5๘hB_5กqำก_Fฯ`@bิมdn๔dpsp[่]>พkBWGฎ๐แYf ‡ๆk๐+Ÿ่๔ฺ…‘14L3\จญQ๛ทัŒม!ซ#฿ิอhA!ฃงมd3d: #f6YดGัk^‹™ Zุ˜t่ัtz3e4˜ญ˜มŒ"ศจฝใ‰40กw€๋ม๛้ั ่ะ๓jo^Šฦ ผ5fF`€ร˜ ฆฟื0๘pu4๒Fฝฌ`ะLax{๔วb7˜ั;มx˜มTf๘`_0™Cยฏยฝbzไๅ๐ปš˜0หว':ฝv]p.4ึFณ9€ูjถภ'ฆCร…P๙ˆv3ฒŸั€้ฌvn3f‹˜5/H7๋‰P˜[3› ._;!@g0๋1ˆz3 jฃีd2}<z*$dw06คyบ 3จdึkใdึฐ Ÿ๖ญhEมฉำพฅ9zV26xฒš^_\ rๅว<‚ห4ี‚ ์7k–GฟญAƒ๕ยšužšn@ƒ ๏‰|œ=D“CPOkถตจ3}<8๚,…2zZรh”1ฝี ƒc2#หtZ$มอ!ฃ๛%ชดภE!V%ด5ฏ†_ดXเซ(&?l`ะ<๑R&;ฆ%"ไ ผศ6๐S˜Q๛๘้ฟำดƒb - 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16:25:00,23.5,56.0,14.2 367,2025-06-20 16:30:00,23.5,55.5,14.1 368,2025-06-20 16:35:00,23.5,55.5,14.1 369,2025-06-20 16:40:00,23.5,55.5,14.1 370,2025-06-20 16:45:00,23.5,55.5,14.1 371,2025-06-20 16:50:00,23.5,55.5,14.1 372,2025-06-20 16:55:00,23.5,55.5,14.1 373,2025-06-20 17:00:00,23.5,55.5,14.1 374,2025-06-20 17:05:00,23.5,55.5,14.1 375,2025-06-20 17:10:00,23.5,55.5,14.1 376,2025-06-20 17:15:00,23.5,55.5,14.1 377,2025-06-20 17:20:00,23.5,55.5,14.1 378,2025-06-20 17:25:00,23.5,55.5,14.1 379,2025-06-20 17:30:00,23.5,55.5,14.1 380,2025-06-20 17:35:00,23.5,55.5,14.1 381,2025-06-20 17:40:00,23.5,55.5,14.1 382,2025-06-20 17:45:00,23.5,55.5,14.1 383,2025-06-20 17:50:00,23.5,55.5,14.1 384,2025-06-20 17:55:00,23.5,56.0,14.2 385,2025-06-20 18:00:00,23.5,55.5,14.1 386,2025-06-20 18:05:00,23.5,55.5,14.1 387,2025-06-20 18:10:00,23.5,55.5,14.1 388,2025-06-20 18:15:00,23.5,55.5,14.1 389,2025-06-20 18:20:00,23.5,55.5,14.1 390,2025-06-20 18:25:00,23.5,55.5,14.1 391,2025-06-20 18:30:00,23.5,55.5,14.1 392,2025-06-20 18:35:00,23.5,55.5,14.1 393,2025-06-20 18:40:00,23.5,55.5,14.1 394,2025-06-20 18:45:00,23.5,55.5,14.1 395,2025-06-20 18:50:00,23.5,55.5,14.1 396,2025-06-20 18:55:00,23.5,55.5,14.1 397,2025-06-20 19:00:00,23.5,55.5,14.1 398,2025-06-20 19:05:00,23.5,55.5,14.1 399,2025-06-20 19:10:00,23.5,55.5,14.1 400,2025-06-20 19:15:00,23.5,55.5,14.1 401,2025-06-20 19:20:00,23.5,55.5,14.1 402,2025-06-20 19:25:00,23.5,55.5,14.1 403,2025-06-20 19:30:00,23.5,55.5,14.1 404,2025-06-20 19:35:00,23.5,55.5,14.1 405,2025-06-20 19:40:00,23.5,55.5,14.1 406,2025-06-20 19:45:00,23.5,55.5,14.1 407,2025-06-20 19:50:00,23.5,55.5,14.1 408,2025-06-20 19:55:00,23.5,55.5,14.1 409,2025-06-20 20:00:00,23.5,55.5,14.1 410,2025-06-20 20:05:00,23.5,55.5,14.1 411,2025-06-20 20:10:00,23.5,55.5,14.1 412,2025-06-20 20:15:00,23.5,55.5,14.1 413,2025-06-20 20:20:00,23.5,55.5,14.1 414,2025-06-20 20:25:00,23.5,55.5,14.1 415,2025-06-20 20:30:00,23.5,55.5,14.1 416,2025-06-20 20:35:00,23.5,55.5,14.1 417,2025-06-20 20:40:00,23.5,55.5,14.1 418,2025-06-20 20:45:00,23.5,55.5,14.1 419,2025-06-20 20:50:00,23.5,55.5,14.1 420,2025-06-20 20:55:00,23.5,55.5,14.1 421,2025-06-20 21:00:00,23.5,55.5,14.1 422,2025-06-20 21:05:00,23.5,55.5,14.1 423,2025-06-20 21:10:00,23.5,55.5,14.1 424,2025-06-20 21:15:00,23.5,55.5,14.1 425,2025-06-20 21:20:00,23.5,55.5,14.1 426,2025-06-20 21:25:00,23.5,55.5,14.1 427,2025-06-20 21:30:00,23.5,55.5,14.1 428,2025-06-20 21:35:00,23.5,55.5,14.1 429,2025-06-20 21:40:00,23.5,55.5,14.1 430,2025-06-20 21:45:00,23.5,55.5,14.1 431,2025-06-20 21:50:00,23.5,55.5,14.1 432,2025-06-20 21:55:00,23.5,55.5,14.1 433,2025-06-20 22:00:00,23.5,55.5,14.1 434,2025-06-20 22:05:00,23.5,55.5,14.1 435,2025-06-20 22:10:00,23.5,55.5,14.1 436,2025-06-20 22:15:00,23.5,55.5,14.1 437,2025-06-20 22:20:00,23.5,55.5,14.1 438,2025-06-20 22:25:00,23.5,55.5,14.1 439,2025-06-20 22:30:00,23.5,55.5,14.1 440,2025-06-20 22:35:00,23.5,55.5,14.1 441,2025-06-20 22:40:00,23.5,55.5,14.1 442,2025-06-20 22:45:00,23.5,55.5,14.1 443,2025-06-20 22:50:00,23.5,55.5,14.1 444,2025-06-20 22:55:00,23.5,55.5,14.1 445,2025-06-20 23:00:00,23.5,55.5,14.1 446,2025-06-20 23:05:00,23.5,55.5,14.1 447,2025-06-20 23:10:00,23.5,55.5,14.1 448,2025-06-20 23:15:00,23.5,55.5,14.1 449,2025-06-20 23:20:00,23.5,55.5,14.1 450,2025-06-20 23:25:00,23.5,55.5,14.1 451,2025-06-20 23:30:00,23.5,55.5,14.1 452,2025-06-20 23:35:00,23.5,55.5,14.1 453,2025-06-20 23:40:00,23.5,55.5,14.1 454,2025-06-20 23:45:00,23.5,55.5,14.1 455,2025-06-20 23:50:00,23.5,55.5,14.1 456,2025-06-20 23:55:00,23.5,56.0,14.2 457,2025-06-21 00:00:00,23.5,56.0,14.2 458,2025-06-21 00:05:00,23.5,56.0,14.2 459,2025-06-21 00:10:00,23.5,56.0,14.2 460,2025-06-21 00:15:00,23.5,56.0,14.2 461,2025-06-21 00:20:00,23.5,55.5,14.1 462,2025-06-21 00:25:00,23.5,55.5,14.1 463,2025-06-21 00:30:00,23.5,55.5,14.1 464,2025-06-21 00:35:00,23.5,55.5,14.1 465,2025-06-21 00:40:00,23.5,55.5,14.1 466,2025-06-21 00:45:00,23.5,55.5,14.1 467,2025-06-21 00:50:00,23.5,55.5,14.1 468,2025-06-21 00:55:00,23.5,55.5,14.1 469,2025-06-21 01:00:00,23.5,55.5,14.1 470,2025-06-21 01:05:00,23.5,55.5,14.1 471,2025-06-21 01:10:00,23.5,55.5,14.1 472,2025-06-21 01:15:00,23.5,56.0,14.2 473,2025-06-21 01:20:00,23.5,56.0,14.2 474,2025-06-21 01:25:00,23.5,56.0,14.2 475,2025-06-21 01:30:00,23.5,56.0,14.2 476,2025-06-21 01:35:00,23.5,56.0,14.2 477,2025-06-21 01:40:00,23.5,55.5,14.1 478,2025-06-21 01:45:00,23.5,55.5,14.1 479,2025-06-21 01:50:00,23.5,55.5,14.1 480,2025-06-21 01:55:00,23.5,55.5,14.1 481,2025-06-21 02:00:00,23.5,55.5,14.1 482,2025-06-21 02:05:00,23.5,55.5,14.1 483,2025-06-21 02:10:00,23.5,55.5,14.1 484,2025-06-21 02:15:00,23.5,55.5,14.1 485,2025-06-21 02:20:00,23.5,56.0,14.2 486,2025-06-21 02:25:00,23.5,56.0,14.2 487,2025-06-21 02:30:00,23.5,56.0,14.2 488,2025-06-21 02:35:00,23.5,56.0,14.2 489,2025-06-21 02:40:00,23.5,56.0,14.2 490,2025-06-21 02:45:00,23.5,56.0,14.2 491,2025-06-21 02:50:00,23.5,56.0,14.2 492,2025-06-21 02:55:00,23.5,56.0,14.2 493,2025-06-21 03:00:00,23.5,56.0,14.2 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05:10:00,23.5,56.0,14.2 520,2025-06-21 05:15:00,23.5,56.0,14.2 521,2025-06-21 05:20:00,23.5,56.0,14.2 522,2025-06-21 05:25:00,23.5,56.0,14.2 523,2025-06-21 05:30:00,23.5,56.0,14.2 524,2025-06-21 05:35:00,23.5,56.0,14.2 525,2025-06-21 05:40:00,23.5,56.0,14.2 526,2025-06-21 05:45:00,23.5,56.0,14.2 527,2025-06-21 05:50:00,23.5,56.0,14.2 528,2025-06-21 05:55:00,23.5,56.5,14.4 529,2025-06-21 06:00:00,23.5,56.5,14.4 530,2025-06-21 06:05:00,23.5,56.5,14.4 531,2025-06-21 06:10:00,23.5,56.0,14.2 532,2025-06-21 06:15:00,23.5,56.0,14.2 533,2025-06-21 06:20:00,23.5,56.0,14.2 534,2025-06-21 06:25:00,23.5,56.0,14.2 535,2025-06-21 06:30:00,23.5,56.0,14.2 536,2025-06-21 06:35:00,23.5,56.0,14.2 537,2025-06-21 06:40:00,23.5,56.0,14.2 538,2025-06-21 06:45:00,23.5,56.0,14.2 539,2025-06-21 06:50:00,23.5,56.0,14.2 540,2025-06-21 06:55:00,23.5,56.0,14.2 541,2025-06-21 07:00:00,23.5,56.0,14.2 542,2025-06-21 07:05:00,23.5,56.0,14.2 543,2025-06-21 07:10:00,23.5,56.0,14.2 544,2025-06-21 07:15:00,23.5,56.0,14.2 545,2025-06-21 07:20:00,23.5,56.5,14.4 546,2025-06-21 07:25:00,23.5,56.5,14.4 547,2025-06-21 07:30:00,23.5,56.0,14.2 548,2025-06-21 07:35:00,23.5,56.0,14.2 549,2025-06-21 07:40:00,23.5,56.0,14.2 550,2025-06-21 07:45:00,23.5,56.0,14.2 551,2025-06-21 07:50:00,23.5,56.0,14.2 552,2025-06-21 07:55:00,23.5,56.0,14.2 553,2025-06-21 08:00:00,23.5,56.0,14.2 554,2025-06-21 08:05:00,23.5,56.0,14.2 555,2025-06-21 08:10:00,23.5,56.0,14.2 556,2025-06-21 08:15:00,23.5,56.0,14.2 557,2025-06-21 08:20:00,23.5,56.0,14.2 558,2025-06-21 08:25:00,23.5,56.0,14.2 559,2025-06-21 08:30:00,23.5,56.0,14.2 560,2025-06-21 08:35:00,23.5,56.0,14.2 561,2025-06-21 08:40:00,23.5,56.0,14.2 562,2025-06-21 08:45:00,23.5,56.0,14.2 563,2025-06-21 08:50:00,23.5,56.0,14.2 564,2025-06-21 08:55:00,23.5,56.5,14.4 565,2025-06-21 09:00:00,23.5,56.5,14.4 566,2025-06-21 09:05:00,23.5,56.5,14.4 567,2025-06-21 09:10:00,23.5,56.5,14.4 568,2025-06-21 09:15:00,23.5,56.5,14.4 569,2025-06-21 09:20:00,23.5,56.0,14.2 570,2025-06-21 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";P.  ๚                        ๛ ๛                      ๗๚๗๔๑๊้๑๒๏็แํ๖๎๐๖๒๒๗๔๏๎๐๖                                                 ,V>  ":S)             ๙๛ ๙                                     ๛๘๘๘๏้๋๕๖์ํ๑๑๔๒์๐๓๏๒๕๐์๓๘๏๎                                              .U>##?R%       ๚                                                ๚๓๖๒๐๋๋๏๑๐๏๐๔๗๓ํ์ํ๊้่ๆ่๐๔๙๏๙                  ๕           ๛               )Q@&"@U%                        ๛                          ๑๛๖ๆ๔๔๎๎์๒๓๎๏๎๑๘๑็้๒๕์ไ๎๕๔๓๛                            ๚๚                ๚  !QF'! !;T*                               ๚                     ๓๛๙็้๓๘๕๐ํ๏๐์้๋ํํ๑๛๙ํ์๋ใๅ๗๛๓๓๚                                         ๙                    'PE( ! 9U+          ๛                                 ๕็่ํ่๎๓๑๓๔์่๏๑๎๐๖๎๓๑ๆ็๑๗๔๐๛                                            ๘        ๛-SB%!"!5T2            ๚                                   ๓้์๎้๐๘๕๐๓๒็ใํ๐๐๛๓๎๖๓๋๋๐๊๋๑๐๗        ๚               ๗                               )UF#"!8P-                                         ๓็้๋๊๏๗๕๑๓๖๏แโ๏๓๔๗๘๘๔๏๑๊ใ๑๕็ํ๔๓                                               ๘                .VD# =N,                     ๚   ๛                       ๏์๏๒๑๕๚๗๋เแ๏๘๕๖๙๐๒๒็้ํ็ๆ๎๐๎  ๚                                                8\=!!">K-                                  ้้๕๒ํ๛๛๓๕๓๋๓๛๔๘๔๑๖๐ๆ๋๐่๋๒ํ้                                              9Z<!?S+      ๛             ๛         ๛    ๛   ๒เ์๔๋๒๛๒๑๙๘ๅึ็๚๘๕๘๙๗๓๕๏แๆ๖๘๐้ๅํ                                       ๚             6X:#?R,                                             ๙ ๙          ้่๑๒๕๋๋๐ใ฿๐๖๖๙๕๓๘๗๕่฿์๔๑๔๊เ์                                                            6S: %?P.                                ๚                    ๘่๎๓๓๗๙๏๊๚์โ๎๖๑๎๗๘๕๙๗ไ฿๐๖๑๓์฿้                                      6O:"#;R5๛  ๛                                            ๏่๒๑๏๗็๊๔ํแ่๘๗๎๖๖๙๘แ๑๚๗๑็แ๋          ๛                    1S8!! #=S3๛  ๛                                               ๛๊๊๎์๕๚ื๑๔ๆแ่๖๚๐๑๓๒๛๏ๅไ้๖                     ๛    ๙    ๛๚ /Q5"!!8Y6๘  ๚๘                        ๚                      ๕็๋๐๑๘๛๙๖ะำ๕๗็แ๊๓ํ้๐๙๏แ๓๎่ไใ๗                               ๛          ๚-O::Z5๕                              ๛            ๊่๑๒๐๗๚๙๓อฬ๎๔้่ํ๖๔๊๏๗๚๏ุโ๘๑ๆๅใ๔       ๚                                           (T<AV*                        ๚                        ๎่๎๏๑๓๕๙ํอศๅ๓๏๒๔๎๋๊๒๖๘๏ิแ๖ไ็๖                                              *T:"?R+                           ๛            ๘้๋้ํ๘๒๑๛้ยฦแ็๋ํ๎๏้็๔๘๘๛้ำไ๖ๅฺๆ๙           ๛๛            ๚                                   ,Q9'?O3 ๙                            ๛ ๛              ์โๅ้๕๖๎๔เนฤเโๆ๐๑๐็ๅ๕๚๘๙ไฯไ๙๕์เ๗                                              .R<!&@P/ ๚                                             ๘เ็๑๒๊๎๚๛๒บผฺๆ็๋์่ๆ้๖๚๚๖ูส๊๕๕๓฿ุ๒                               ๛     ๚        +SC!#@S'                                     ็ุ฿๋๓๕๕๓๙์ีดทุ็ๆๆแโใ้๕๙๛๓ำษ๎๘๙๐แ้                                            (UE ES%                                    ๖ืู็ํ๕๗๒๒๛๛ใฯฐฌู๊฿ๅโใ๋๑๛๊าฯ๊๚๎แๆ          ๙          ๛                    -S>%DS!          ๚     ๛ ๛           ๙            ๅีเ้์ํ๑๓๓ ๙ษงฃี๊ใ๊฿ใ๎๑๙๚ๆฯฯๅ๘๒ไึโ                                           ๙๛ +T>$! AS'                              ๖   ๚       ๖ุืใไ์๒๐๕๗ ๚ุพ ขะโ็่โ๎๒๘๘ไสห่๙๓็ิเ                             ๛          &VC!$@P+              ๙                      ๚๛          เา฿่้๋ํ๏๕๙๕ิน—”อ็ฺใู้๐๖๖๔แฤฦ๊๖๓้ึ฿๚                ๚๛๙                     *QD$ =T,   ๛  ๗                  ๛๛๓๒๙๛            ๎ฺุๆโํ๗๓๒๚๚๔ะณ‹‰ฮ๐ฺ฿ี฿๖๗๔๓ฺผลํ๛๔๒ฺ๊๖             ๚๛๚๙๘๘๗๔๙ ๖     ๛๙           ๛  .W@ ":U0๙                             ๘๕๖๙๕๏๋ๆโ็์ไใ่๏๓๑๒๚      ๛   ็ีเ๎เ์๖๙๚๚๒ษญ„~ำ๛ึะำใ๚๘๕๋ฬบห๎๙๓๕ํำุ๛           ๙๕๕๒์้่้ๅแๅ๊๋๋๋๓๛๚๙๛    ๛  ๖๚         +`D!"6T5๙                          ๚๖๓๐๋็ไแฺูุืึืๅไ฿ใ่๋๚       ๚   ๒ฺๆไฺุโ๋๓๙๑ลง}xิำศัั๊๖๕ๅยธอ๎๙๖๕์ำา๔           ๚๔๓ํ็็ๆแเใโเโๅแใ่ใ฿ๆํ๏๔๘๗๘    ๛               1\B" 4W6                           ๏๋ๅเ฿ูิฯำเืึิำุืำาีแ฿ๅๆํ๘        ๖๚   ไไึเๅๆ๋๔๎ฝกtqีิฟศี๐๙๒๙ๅถฌา๕๒๐์ิะ์     ๚๚      ๘๗๒๐๏ๆ฿เืิึูเ฿เไไโฺุเๆ๎๚๘๛                   ๘2\@ 9T5๛   ๛       ๛               ๛    ๔ุ่ืืฮะีีฯฯิึฺุืฺูุีำูแ฿ฺเๅ็๊ํ๕      ๙๛๙ ๘โเแใ๖๕๕๛๖๗ ่น™jmี ะฑวฺ๊๚๘๖เฐฅา๘๖๎ใืิ็๘๛    ๕๐๑๎๋ๅ฿฿฿฿เำัฺใใ฿แโโๅ๓๘๚๛       ๚          ๛    -W?"  >O3                       ๏ไ฿ุิีึาฮฯิิัฮึ฿ฺุูืืีืืไใแ๊๐๒๑๏๗          ้ๅ่้๚๛๙๏ภ‰^tำฯฆมโ๊๖๕ีจฅำ๘ไืเ๖๛      ๏๊่็็ๆแเใใโๅ็ฺโ็ๆโแ฿ไๅไโโ฿ใ๊๏๖                               3T;#!?U/  ๘  ๚                        ๛  ๑ๆเๅ่ืศฬำีฮฤลฮุ฿ฺฺุูเใไฺเ฿฿ๆํ์๐ ๚     ๏ฺๆ้๋๊็๓๚๘ร|^wฯฬŸฟโ๊๗๒ฬฃฆิ๛๘ๆฮฺโ฿๋๘๚    ๒่ไแ฿เ฿เๆโโๆ่ใใ้็ใ่ํ๏ํไแ็๊่ๅโืึ฿ใเโ่์๓                                0S9#&%<\) ๛๛                        ๘๏ๅูีุัพผรวอฬอูุีหภมสัิำึๆ๐็ุึุึฺ฿ื๊๋๋๔      ๘โไ่์๑๓๎๐๋ ลwasสศ›รโๅ๘๐ฦŸคำ๗๛๎าำเๅ๊๓๘๛        ๖๕๏ใฺไแแ๋๎แแ฿๊๋็้ํ๊ะำูืเใแๅ็ิำีีิึฺ่                          -^;'!<W)                ๚๙    ๗ ๛๛๛๑่ึีหนญฐผฝรอาหยมนญฉฆฆฌฐดผภษไุูึีเแแุึเๆๆํ๖๙    ํ฿เ้๒๐๒๚๕๖็ไ่๘ ัv^}ล๙ฯกฝเๆ๕๑ภ—ฉฺ๖๚๖แฮืใๆ๐๘๖๖    ๑๋๊เุ฿ๅ฿฿ๆๅใๅเ฿ฺุไแืีิศผผฟทฒปฟผรอำแำลสสฦสาัฮ๓    ๙                       0_?#=U,              ๙         ๙๚๑่ใเฯภบตญดฝยฦภผถฅ•‘…€‰”™šŸญศีำีุใๅ็ไเใ฿็๏๏๔     ๛๘๘๛๗๔๔ฺฺ๊เๅ๓๕๐๚๚๚ํ๋๓้์ ื}gฝ๖ิฆฝ็๓๒ม’ญ฿๏๛ๆ๕๑เเ๐๛  ๘้ใๆๆๅๅเุูๅไเใ็เีูแฺหยบฏŸŒˆ‡—คฌบะุฮฯอษะึฬุํ๛              ๚     1TA#!DV&                    ๛๙๖๚ ๎ไีาะศภพยฦฤฟดก‹vjjssnmkny†‘ฑะแูีูุ฿ใไ์์ไโ็็่๏๖    ๗๘๕๏็฿็๋ํ๔๗๖๑๕๕๐๏ฬฯŒt~ณ๔ูฉพ่๖๚๊พœฒ๑๚๓๏๐ใโ้๋ๆ้๖๚  ๓๓๐ไ฿ใไเๅ็โใๆโแๅๆไุแีลตฆ”|mhZKOTNOW_tขทาโโฺำสฦฯุาสาใ๛  ๕๙๗                   ๘    0R@%C[&                  ๙๘๔๕๖๋ๆุุำาฯฯสวฬฯวธฆ‘~vk\[cig_WX_gsƒ˜ งมีาืเัิ฿แ็ๆใใไ๋๏๎๑๛ ๛๚๒๏๊ไโๆ็ไ้๎๔๙๖๛๎๖่ฬื›€ƒง๊ๅฐธ๋๘฿ถฏผำ๑ํ฿๑๔ไแ์๎ๅ้ ๙๕๒๑็฿ไใเเ็๋ไเโฺฮำโ็เูููอพฎŠxiYGDJGA>;AMYn†—ฎฮๆ๎้อษะีาฯา฿๗ ๗๓           ๚          +RC%"!=U$                    ๘๒๙๑้โิีุหฟฯิสฬิุะทข’vmdk|zjgnpjebabržฆผฬะึฺีาาิ฿็โ฿ๅใืุโ้ํ๎๐๕๛๗ๅไ็๊์๋ๆ๊๔๏ํ๙๕ ๔๙๗เะสฅ‰…ก฿่บบ์ำดนรฯํ๘ั๗๕๛๖แ฿๎๎ๅ์๚๘์เใๅ฿เๅใ฿แ๋ํเ฿๊โฯัแใืฦถฆ”€paVZce_XZc^RNNSi”ฏฮ่๖๐แุิิิำีึ๏ ๛                             0P@!"CS       ๚   ๚          ๗๘๔็ูัสฦสฮสอำูิศธฅ~vtor}‚‡’”‹ˆ‚~{rgn„™ฌฟฯุืำำีืำฮีโใ฿ฺ฿๋๔๏๎๏๏ํ๑๖ๆ๖๙๕๖๘วฤฑƒœึไรย๏๖ฬธผฦึ้๔ศั๛๑ํูแ์์็็๗๚๗๗ๅูิะิใแโ๋๋๊็ูืแใโโิฦฺ๑ๆัวปงvhgnz„‰Š‰‹‹‡„{iWWgz‘ฌส์๗๊แืึะสฮำุๅ๗                          5S9  "!AW            ๛                ๛๘๙       ๔ๅุอรฦศลฬัสมตข‰ts€‚„”ขฃขงซซฅ ˜‘ŽŽ„zƒ™ฌผำใำีีาัฺูีูุิะอฯฺใๆ๎๙๖๘๚๘๗๗๘่๏๐๎๑๙๘๑านสภ’ˆ˜ฦไสว฿ํ๖๒ฯบฟศฺ็๖ ๆผๆ๖฿ฺ็์๋๊๎์ํ๓่เแแแแๆ่ๅโฺฺูุีะหฦห๊๗฿รฑ‹|ldpƒ•˜ ฏธตฏฎฎฉ›‘€hak|‘งฬํ๊฿แืฺืฯาุ฿๎                    4T:! 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๖๘๘๖๔๐๚๚๚๚๑๋๊่๏๘๙๛๚๊เๅโืโไ๋๊โูแ่์ํไ฿ไฺสสฮยปปทฑฌฉก•ฝิๅแๆใสบฒญฏฆ™ป๏฿รื็แ็๏๖๙็ส›|–ัาืๅ๏ีญฅฏญ’}•ธ zŸำไ๊ืลษสฯฮฑช๋เเไ๊๊ไๅ๐๒๎๐๏แๆ๎ภธบดตดฉญฦ฿่โเเูเ์็ฺยค—™ฃฑตดธถฒธฟฦึเไ๊๋่ไ฿็ไโํ๒๓๖ไัาฯิ์๕๕๙๚์์๔๛๚  ์่่่๊๋ไโใแ้ ๚๖ ๚๘๘๒๎๓๘๘๗๎ไ่  ๕ ๚  ๛      /O;%AW/          ็ั์๗๛๙๘๖๑๏๕๖๙๔๒๘๕๕๓๘๘๐๔๗ๆ่๙๛๛๘๒์ไ๏๛๙๔๘๏เใเีึ฿ๅ์ํใุุๅ๊๎๒์เฮฬฯวฝตฒณฏงœ•šดัแเฺๅ็฿หธฏฏฑจทโโาำาืูาถŸด็๚ียะๆ์ีซŸฎฒ”z’ปงz•อ๊๑ีบมลวิต“รู๊ี฿เเโ็๊์์๏๗๓๐ํๅ๊ฝธพตดตจญสเ๊่ืเ้๏๊ืบฃš— ฐดณธนทผพอเๅ๎๋่้ใ฿เแๅ๒๗๔็ุะอห๕๗๖๒๖๋เ๊๙ ๙๑๎้๋ๅๅ๏้โ็แแ๔๘ ๚๗๗๓๏๚๛๗๔๊๐ ๚     ๛     ,Q<"# AY*    ๘        ๖ำึ็๓๛๚๙๔๏๘๘๚๘๕๏๊๊ๅ้๘๙๚๏ไๅ๋๐๕๙๏ๆ๐๚๔๕๘๛๖เเุฮฯ๊๒๑ๆเึๆ์๐๏๏์ุูัลปปบดฎฎค—˜›ชห฿฿เเ฿ใ๋ไศดฐฑฑฌขตะืัฬสศษ฿๔เฤอ๔ ฦสูๆุฐฃฒฑ”y“บก~›ศ๊๖ัทฝพะูซŽฟๆโีะืัห๎์๎๙๚ ๙ํ์๋้ืฟฝฝณถถงญหๅ๋ๅแๆไ็๎ฺ๋ผŸ–™Ÿฌดฒฒธธธรื฿็่๋๏้โ่้ๅํ๗ไีสหุ่๔๖๘๓์้๏๚ ๖๎ํ๊ใไ่โ่้็๐๚ ๙๐๗๗๎๔๙๓๚๛๐เูโ๖       /T8"'BZ) ๕        ิใ๏๙๕๔๐๊๘๙๐๊๋้ไ๐๘๕๕้้ํๅๆ๒๚๗๊๋๓๗๗๚์ูีอษฬูใๆ๋็ืำ฿ใ๊๖๐ํ๒ไืืฦถถตณณฑค”’˜ฌศู฿แ฿ๆ๋ไษฒฐดฑซคดุโูแไ่็ๆ้๓๖หๆ๖๐โรฟศฯิปจฒต–yทฆ€—ส๏๕ฬฒมยภลฅ•รๅูสฦีุฬฦิ฿็๕๕๙๛๏๏ํๅะพภมถฒฒจฑำ้๊ๅเๅ็ๆ์๏พก“— ฌฒชงฏถธศํ๋ๅ๏๋โโ็๘๚ๅูืะอั฿๋๎๕๙๖๒๔๖๕ ๚๎้่ไ฿โ์๋แ็็ุึใํ๗๙๑๓๐๋๙๛๔๗๗ู๊ๅ       -S>! =[(       ๙๛          ๛     ๋ืๅ๓๙๔๙๕๐๑๑๑๚๚๖๛๗๎๊๋๎้้๒๗๖๖๒ๅุีๅ๏ๆ่๐๕๚ํ๋๓๕๘๕แฺำสวฦัใไใ็฿ี็็๑๓ํ๐ฺุ๊ฦซชณฑฑฑฃ“Ž•ฏฦิเเฺไ๎๊เวฐฑทฒช ฐฺ่แ็๎้์๒๔ี๘๒๖สณตลืยฃฏป™~‘ฐชŠ’ษ๕๒ฬทฟบฒฒคขส฿ายธมิารษแ์ๅไ๗๋ศพฦฟณดณฉนฺๆ็่แ฿ๅๅ๋๒เมฃ’™ฃฆฏฐงซตฝำแํ๐่์๎ไไ๎๖๔ๅฺาสสฯใ๐์๗๚๕๓๑๖๗  ๛๘๔๊ๆ็่ๅแ่์เ็เืูๅ๕๐๎๚๗๘๓ไแ๏       (VC>W0             ๖฿ู้๛๖๛๗๓๖๘๓๔๚๙๘๕๙๑้ใเโๅๅ๎๗๕๑ู๋ิี฿ๆๅ้๐๚๐๋๎๕๙๚็ัสหภผอเแิ่้๎๓๎๎ํฟฃฉจฆฎฎŸ˜‘ญวิ฿฿ๅ๐์฿ลฏฑปทฉ›ฎฺ๊ๆํ๋๊์ํ๖๐๏๖๐๖ฬฟภผสภžฅถœ–ญฆšศ๑๔ิผทตพธžซฮฮฤฬฝฒฤฮภธษฺเ๐ํๆ๔๐ศนฤฟถถฒฌฟฺๆ้็ใไใแ้๓ๅศจ’˜จฉซญคฆถศุ฿โ฿ฺไๆ฿แํ๑๋ไเเุวฦฮึ๋๔๏๖๖๕๘๙๔๏๋่่ๆแไ้ๆแ็๊เึืูแ๖๚ ๕๐๒๘๚๖ๆู่๗       ๛     (Y@!&=Q7๘              ๛ู้แ๖๛๓๏๔๑๎๔๙๓์ไไ่้ๆโใใโไใแ็้ๅ๋๛๓่ํ๙๐ูฮหอษผปสุแโใ่่ํ๏ํ๑๏แแถžฆฉฃญฒค’‹—ฏยำแใใ๑๎฿ลฌฎผปซœฌู์๊๏ํ่๐๘๒่ไํ๘๓๕๑ฬธผธภพ›žธŸƒœฏข’คอํ๑ลธฒถตจ มอฟยฤผยำัศศฬึๆ๛๖์๐๕่ศนลมทธฑฎฤ็๊แแ๊ใ้๔๋ฯซ•˜ฉฐฌจก ถาโ็ๆๅ์๐๋์๐๑ฺ่ไษยฦห๕๘๓๕๖๔๚๖๔๚๕๋์์ๅๆ่ใเโๆๆไๆ็ใแูอ๙๘ ๗๛๛๘๓๏๙๙๛๒แฺแ๐๛   ๚    -U@!'=R1      ๑ู฿๋๙๚๛๙๓๕๑๑๙๙๛๔๔๒๊์๒์็ๅึาไ๋เใ์๋๋็ๆไืี็ํ็๐๔้๕๛ ีลฬออวนทรำึ๋๐๏ํ๐๒๋็็ะฏŸ ฅงงฏซ“‰–ฌวูแๅแเ๏๐มฑฑทธฒกงี๒๎๏๑๑๖์ใ๋๔๛๖้หดบนทมฐžณฅ‡ธคชึํ์เอตฅฐฝมศวศรปทฒถศะอาุๆ๑๓ใ์่หฝลฟบธญดฬๆ๋็ๅ็ใโ๐๒ด˜›ซฏฌฆšžผฺไใใ฿฿โใเเโไ็ๆๅโฮฟภริ๑๚๖๒๋๎ ๗๘๗๎้์่ใ่้ใไ๎๐๊แเใใโไ฿ะื๖๛๓ ๛๚๕๐๒๙๚๘๛๗๊฿เ๋๚ ๛          ๘-WB DT,   ๚       เิเ่๏๖๗๛๘๗๔๐๖๛๙๗๓๐๓๑๊๋๏๋เเ๎๘๑๊้็่์็ๅแััไ์้๒๔๏๚๋วบยศสวฝทฝสีใํ๔๐๎๐ํ๊้ัฌœžคฉญช™Š’ฑำใใเ๊๐มณณธบฐกฌิ๑๔๎็๎้เแ๎๖๛๕๖๒๊หซฉฒธฝบ ฅฃŒŸปฅฒ฿๋่แฯทธฦหะุุฬรพทณตตบวี฿็่่๏ไิฺู๊ฟฟภฝตฌปีฺเ๋์๋๋ๆโแ็๎เยฆœฉฑซข™Ÿมแไเ็๊ๅ้้โ฿ึืแหฤฟฟฮๆ๕๔๑๓๐๘๕๋๋ใ์๖๋ใ๋ํ้้้๑๗ํเๅ๎์ไ๏๛๕๚๘๚๓๕๘๔๖๗ํๆ฿๎         (WC!FV, ๚         ๐ีืๆํ๎๕๖๚๗๒๒๕๗๛๕๑๒๎๋๋๋๎๊แไ๔๙๑๎์ๅไ้์๊ไัฮ฿์์๑๔๕๙๘๙ๆฦธฟรฤฦรนธภะโํ๒๕๏๋ํํ๊ืฐ——œขงฃขœ‘ธุโใไ๋๏฿ภฑธผบฑกชี๓๕๎์๏ะโ๛๛๛๚๕์้ป‹ฃฦฤหวฅŸ–ชบข’ตเํๅะนดษาัูแ฿ฺิฯฬษสฯัุโๆ๋๏ไแืวฯ๋ีพรภปนฏฝืื฿๏ํ่๊็ๆไแๆโฬดฃฅฐฌ กพใ๊เแๆไๅ๋ํ฿ะาืฬฬลบลุ็๔๕๑๕๐ๅ๋๎ๅ่๑๏๋๎๏็ฺ๊๎๑๏่็้่เ฿฿๎๚๚๗๖๙๘๔๘๙๘๗๐๊็แใ๓         'SC!$HO,๗    ๚         แั๊๎๑๓๗๒๛๖๏๙๛๕๗๗๙๕๒ไ฿้๏่็๋็๋๒๛๗ํ๋๋้ํ๒๎ๅ฿โุัใ๐ๅ๊๕๑๘๚๖๖๔โฤธฝผปยฤบทผอ็๖๕๕๒๊๊ํด˜”•งจชฉ—“ธืแ฿ื้๏๎ยถธธบด ฉื๓๖๚๕๋้๒๗๚๔ใ็ู–Œสุสึสฉ œšฑถž›นู้่ะผธฬิืเ฿ีููุีแแํ๑๕๓ๅูิวลลผฝฟฒฝูํ๑ํ้็ๆใโเุิสทณตซกžคภไ๋แแ็่๐๕เฬาีสฦสรทฝฯเ๑๚๔๒๛ํ้์๑๊๋๖๑๑๋๋๓ูส็๐็๓๔ใๆ่เแแโ๎๙๘๔๙๛๛๙๗๓๕๘๐๒๔ไ็้ๅ๎     "QC&KS(   ๛          ๓ึิใ๋๒๗๓๓๗๘๚๘๙๘๗๚๛๙์ู฿ํ่ใโๅ๑ๆํ๔๎ํไ็์์้ๆ฿ู้์ไ๊๑๕ ๖๊๐ํูฦฟฝบฝรพดธรา๊๔๑๔๓๋๋ใพ“Œ™žงถบตฎฆถีโเ๏๒ใษธธนนดฅซิ๓๖๙๛๊฿โบŽฒฯหูหฏข™žทผŸšฝูแไโำฝฝฯืู฿ๆแีี฿ๅ๎ํ๋๘๖๓๘๋หภศรฝบทรุ฿๎๓์ๅๆ์แอฦอศนฐงฆฃฆษ่ใแ์๋๏๒โิีีะษฦมนปวึ้๘๕๑ ๚๏๎๋์๋เโ๑๑ๆํ๑ํ๕็ษ๓๊๊ํๅ่ๅใใใ๎๖๘๗ ๘๙๚๔๙๊ไโโ๎๛     )S<&$!DV+               ๊ิึ้๓๖๛๖๒๕๙๛๚๘ใิ฿ใๆไใ๑๙๋็๖๒ๆ๊๏๑๑๊้แัุๅเเ๏๕๏็๐๒้ํแฮฤบฑตมลถฌปฬฺ์๓๏๑๕๒แมˆ’คงฌบฝนถฦึำื฿โโ็์๊านธธตทจงำ๕๙๛๗๐๚๖ฺางขะแิฺใฬฑฆฃปพกœปึเไแายลาใ่ไแ฿ไไโ฿แโใ่๏๑ ๕ไ้๕ัพสวททฟศีแๆ์๒์ฺใ์๎ๆืลพฤมฐงฆ ฐำโเ่ํ๋้฿ึาวภฦวฟผฝยฮแ๘๚๒ ๙๎๑๊๋๎ใไ๏๎๔๔๏๒ํ่๎฿ูํ๓์๏ํๅโไๆ๋๊๋๕๙๖๙๙๕๙๛๚๓๊โๅ๚      -Q@'#FW'      ๛        โะฺ๎๕๔๚๑๐๙๘๒๔๛๗ฮโ็แ้๎๕๙๔๋๓๔๑๓้ไ้ํู้ัใไำ฿๒๑๊๏๖๒๎์ูอฦดฉฐฝมฑฑราใ๔๕๐๕๘ๆฤฅŽ‰œจจตผตนปณห็ๅ฿้๋็็ูยบธตฑฅฎุ๗๚๛ไึิผฉว่ๆแเศตฑฆจผธžฆพฬไเึศสุ฿ไๅโไใเใโ฿เ้๔๒่๓๚๐๑๖ใษฦฬภธฝฝลุโไ๎๑์์โไษลสรปนชข ชมีไ๋ํ็แาฤมหสพปผผวฺ๎๘๑๘๎๏๋์๑ไ์์ไ๕๖๐๕ํไ์้๊๒๑๒๋฿เไเ฿๊๐ํ๏๒๕๙๛๛๙๕๚๓๚ํไํ     4T>%!HZ ๛            ๏ึิ฿๏๘๗๚๙๐๒๛๛๘๛๗๔ุฬึใ๊่ๅ่ํํ์๓๙๓๑้็๑๎ไเัาแใแ๎๎็์๒๘๗๏๎ใิฬมณฐดดฎฏธภอไ๗๛๖๔๑ึฌˆ”ฅซณภผตธฑซศ่๊ไๆุ๋้ศยผดฏฆฑ๚๛๚๚๖๙๚๒ใำรผอ฿ๅ็โเษนพฌจพทฉภศูใืัวหฺๅใโ่เ็๐ๆใ๚ ๚๏็๗้วฦอภนบพาโ็๔๎ๆ้ๅเฮหฬฤลพญฅกŸฐสื฿ไ่่ไัฦมพบฟพบทปฯๅํ๐๙๐๋๋๊ๅ฿๊๐๑๏์ํ๑๔๏๋๎๋ๅ้๐๕๓็ไ์์่โ็์๐๗๚๛๙๘๚๓๕๕โ฿฿็๛      ๘;Z: #AU*๗        ไึ็๑๖๙๛๙๚๘๚  ๕๘๒ฯมะ฿๋๑๊๋๔๒์๔๗๕๖๐ไ฿โ฿ฺูิฯฺเื่ๅๅ๐๖ ๚๖๕์฿าวปดทนฒชฑฝยษโ๘๖๊ม™Šˆ–ชดผฤมยยถฒห็ํใไ๋สวฝตฒฅตโ๕๘๚๚๘๖๋็ุลลัู฿์์฿ฺแษทลฟฑบฌžฎพศึุฮศฬึแ็ืใๆแเโ็ไ่๛๛๐เ่้สฦฬฟธฟฬ฿่้ๆๅๆ๊๏์ฦพมฟภฟดฌจ› ยฺใ๊๊ๆ่ใิษรภวฤธณฑฎฟ๋๏๙๓่ํ๊็้็่๎ํไๆ๐๔์็๏ํ้๎๓๒๓๐๊๋้ๆ็แๆ๑๔๘๚๔๙๛๕๘๘๊แฺ๑    ๚    ๒2[C  $<V.๗             ๕ุิโ๊์๙๔๏๖๛๙๕๘๙๖๘๘๒๑ไฤฦาะฺ็๑๏๏๐๎์๑๓๊ไ์๏ไใ๋฿ีุาผฝึ่๑๒๋๒๙๕๕๗ํ฿ำฦบฒณบทฌดลศหไ๕ฺญ“‹Ÿฑบมมฟลยถพื่่็้ฯศมปดฉต฿๔๖๚๙๛๗๙๏ๆ็ิศาำูํํฺึฟนฟบฏ คตพศีุีาฮะาฺุแ฿ไโ฿แโ๋๙็ไ๓ไหหศผผฦาๅ๐๊ๅ้๎๔๓ลฤวรฟพนดซ›˜ณิๆ์็แๅไืฬฤฟฤรทณดฑบึ๋๓๕๘๛๛ํ้๋ๆแ็๑๓ํๆไไ๎๕๋็ๆ็๐๖๏่๊่ไๅ๎๎โใ่๋๓๙๗๗๓๘๖๚๑๚๙์้ใฺ็๗  ๛   +\E"?X+๙       ่ิ้้้๗๘๚๗๘๔๓๖๘๗๙๛ๆีษฅฅศ่๓๏๏์็้้่๎ํๅแใๆ่ไึสณซว็๓๑๐๗๚๚๔ํํๆิหมทฑณฑชฏฝวฮแ๛ํอข‰ˆ•ฉทมลฦหสภปอเใ่ํ฿ัหยผฝฒด๒๔๚๖๛้็ฬิุี๊๖ๅฺไ๋ๆฺหปฟฝจšฆผลฤฮุาฺุึฺุััีแเแใใ๊๓๙๖แ๊๔ฮฬฟปลวิ๎๐ไ้๑๔๓฿วมฤศษมฝนฉ™–ฆษ็๏ๅ฿่๋฿ีสฝพมปณฐฏธหเ๋๎๓๘๐๖๖ๆ้๖๙๗๒้ๆ่ไ๎๚๒๐๒์๒๕๋้่๏๖๐้้้ไ๒๕๛๗๖๗๛๊ใๅใ๚         .XB!$:W.        ฿ำ๊๋๎๘๖๒๚๘๛๙๚๚๙๋ึภจชม฿๕๒่๑๘๑ํ๔๘๕๊฿ใไโๅใวจฆถึ๘๚๐๖๐ํ๗๐่๋ๆะฦฟนฑญฏฒณบวา฿๘๎อขŠ‹šฏผมษฬสสฤลูใใํๅำฯฦบภผธื๐๐๘๙๘์ๆเืฺูำไ๗๐฿ื์๎ัฤนถฅ™ญยยละึึฺึิุึาึูโๅๅ้ๅ฿ๅ๔๗๑๔๗๘๓๎๑๕โหมภฦลวเ๑๊์๏๏๗่ศฝมษหฝปฝฉ˜จล๊๒่ไ้์ใึษผผยภตซฑผฤี็้๑๚๛๗๔๒๎็ๆ๊๐๘๕๓๓๎ๅไไๅ๔๕๎ํ๏๔๚๛๖๑๏๐๋ๅ็่ๅ๐ ๖๛๙๗๗ไ฿เแ๐       ๛๛ 0U=""#8X2๚        ํัำๅํ๏๑๕๕๘๕๑๗๙๗๛๛๕ไะศีแแ๊๎๋่็้๒๖๓๒๔๒๋ไ฿เใ๊ืฌœซศ๒๔๘๛๙๑ๆไ็่๋้ๆๆแูฮฤมผฏฌณณธสุๅ๘ํศค”“ขนรวัาอสษิเๆ์โัึาฝพฤพำ์๑๛๖๚๘๐์แฺฺอฮ๊๘๑้ใใ้๐๏ใีสภฑžกบผฝะิีัอื฿ึา฿ไ๋ๆๆ็เ้๑๏๒๕๓๔๕๓๓๒เฦฝษษพะ๋๎๐๐่๔๓สณมฮฯฤบปญšœฉฤ็๑ู๋้้๊่ษฟฝพผฑจฒยฤอใ้๊๗๔๓๑ํ๐ํๅๅ๎๔๔๎๋ํํ๏๓์๋๎ๆๅ๎๎๋์ํ๓๘๘๔๑๏ใๆํ่๊๚๚๚๛๛๗๙๗๚๏เเไ๋๛         -TA"&;R0๘         ๆะูๆํ๓๏์๔๗๛๔๏๗๛๚ํเเ้๕๔๑๒๑๏่ไ๋๔๗๕๑๎์์๑๏่์ใวฌคฟ๏๘๐๐้฿ๅ๐๊ไ๏๔๔๐๊ใืษฤมธดตฑตยฯแ๘ํหฌกคฑลฯษภยยลาฺๆ๏เีูำฤยภพำ้๓๙๛๚๙๘ํิสะสฯ๏๙๐๏๋๋๏๐๊ๆสฤทงพดปืืืาัืำาูััใไไ฿ๅ๏๎๓๚๑้๑๚๔๏๒๏ูรลฬวฤื๋๏๋ๆ๒๘ิตมาอลยฟณค ฐะ๎๗๓๎๋ํํศมภฝปตฑธฟฝล็่๐๗๙๗๎๊็฿ืฺๆํ้ๆ฿ู฿ใแๆ๋้ๅ฿ํ๗๒๐๕๙๙๔้ใไๅ้๋้๐๗๙๚๛๗๙๙๘๛๕๖้เ๊๖          +WF!'>P'       ใอุ็ํ๓๙๔๓๚๒๖๘๙๘่฿เเแ์๖๓ํ๐๖๘๐๋้็็่๐๔๏้๊๐๓๎๐๑ฤทรํ๙๕์โ่ๆไํๆฺๅๆโใาฬฤนดณตผภลฺ๙๙์ฯฏงฌปะอรฤภยฮำ฿๎ใโฮฮลฝี๊์๓๔๒๏ฤศุี๋๋๎๕๐ๅโ่๐ํๅๅแะฦปขฉผฑถีฺืำฯฯำิึไโเํ์แ๊๏๔๓๙๕ํ๐๓้ึศสะษว๎้ๆ๔๔ึฝยฯฮษสฤฏŸคธั้๕๒๋้์๊ืฤลฦมฝธดถนฝศํ๎ํ๕๕๏ํ็๋๎ๆใแโึึูึๅ๐่ๅๆแไ้่๎๒ํ๔๕๒๔๗๐๋๊็ไๆ์๏๓๗๚ ๚๛๛๛๗๗๐๓๛๘๖๑เฺไ๕          +\E$BP'       ๛      ๘ึัแๆ๊๓๚๐๑๛๚๙๕๐แไ่แ๓๚๘๒๏๖๒๋ํ๎๎์็้๒๔๐๑๊ๅ๊๋๎์ืะฺํ๖๙๓ๅใ่๚ุ่แ่เํ๙๖๓๒๊อลฟผมศฦมี๔๚ํใฯถฏดภวหาีำัฯืฺู๋่ืหฯะวี๋้ๆโำรยึแูโ๔๏้๕๛๒๑๖๗๓๋ไโแฺอผงซทฒธะแแำสฮฬฦสฯิ฿เแๅ๑๓ใไ๊๓๘๒๒๒๎ๅฺะหฯษหๅ๏ไ๏๗ฤมรวฬหฦฑšฆลึใ๒๒ํํ๎้ืศฮะรภบฐดพฤอืๅ๎่แ์ํ์๘๑แๅ์๊้ํ๊฿ไๅ็์็฿แ้๏๎ๆ์๘๔็้ํ้็๎๎้ไเๆโไ๐๚๘ ๚๛๚๘๖๏๒๚๒฿ู๋    ๛       +\F'>M-                   ่ฯโแํ๕๐๎๘๛๛๛๘๛๛๔๖๘๋็่เํ๐้๐๖๎ํ๔ํ่๊่โ็๏๏๎่ใแไ้์๊๊๋๔๛๚๔้฿ฯฺรปถตบพมฯฺะศภปปฟฟภี๖๐ๆะธดผศฮฮฯีุีำแ๐็ฺฯหะะู฿ำฯฺ์๋แ๐๗๏๋่๑๕๎เฺไ฿ำมซฎทซฑี์ใศระำศศฮิเ฿โ๊๕๖๊เ฿ๅ๊๓๘๔๑๏ฺ้่้ะาฮฤา่ๆ่๘้ฦฟวสอหษพžŸฬ์๒๑๖์ำษออผธฝณถฦฬอั฿๔๖๏ํๆโ๋๘๗๏้ๅ็๔๕้ไใ฿ใ้็่่โ฿ๅ๎๒๊ๅ์ๆเๆ็้็ไ์๐๋ๆใโไ๒๛ ๔๐๚๛๚๙๔๖๚๛ไึฺแ    ๘ 2[C #?S'๛        ฿ัใ๐๘๒๊๊๔๖๔๛๘๗๛๗๋ใ฿ใ๑๔ๆ๒๗๋็์๒๎็้็เไ๏ํ่์๏๑๐ๆเ๎๙๚๘๖๏๖๔าวฤ‹ˆ€qmv†•ฅผัืิฬลฤฦศลริํ๕๒ํฬศษฮฯะฺุึฮีๅ๋แฺุะสะุูๅ๏๒แิ๊๗๒๔๛๘๕๛๚๘๚๋ๆๅูึฬญฌผซจำ๕๑ึศาิศษฯำเแ๊๎็๊๐ํ๋์๒๚๖๏๐๎้๐๎ูาาวฤีๆ๒๔ัภำัอะสฉ–ฟโใ๓๒๖๏ึีาะลภฦภบมฦสะ๖๛์้่เๆ๐๖๖๖๎ๆ๋๑้ใไะาาัๆแๆ๊ไไๆ่ํ๎ํ๏๒๎่ๅ้๏๔๐แฺ฿แ๛๑๖๛๛๕๚๛๔ี๔     /YE#CR(    ๛    ๗เำื้๖๔๋์๙๚๘๚๗๖๛๘๒ไโๆ๐๘๒๐๑๚๒ๆ่์๑๕๓๎๏๎่็ํ๎ฺ้๊่ไ๓๘๕๘๗็แๆ๕dŽ’‘’’šฆถวาัษรฤฦยรัใ๏๑็ืหหัาำำิะฦสุ่่ัศส๎๑๒ิฯ็๖๑๐๘๔๛๚๑ๆุััปฉณฏฏะ๏๑เฺเิลหฮะ฿์๊ๆ๎ํ็้๎๕๘ํ๋๔๋่๓฿าหมฬแ๕๚ืมสูุอะุบ˜ฐไ็๖๘๒ํโุิาฬวลภผภสุแ้๚๚๊๊๋โ๊้็๓๘๔๓๕๑ๅอฝสแ็แเ฿โ๏๋฿็์๎๓๐๕๔๋์๋่๋ํ็ๅโฺฺูุ๏๛๘๓์๐๚๔๖๚๔ๆื๏        ๛  /WC$>P,       ๕ฮุ๏๘๒๏๑๖๗๙๚๗๔๕๗๖๛๛๏ๆๅ็๓๕๐๑๖๖๏๎๏๊์๒๑์็้๋้๑๑็ไๅๆ้ํ๐๕๘๕ๅฺ่๘๛๐ฑgo›šฆ ™š˜Œƒ‡“œฅถษำอฤฤลยฤฯๆใูิิีาูอวฯุ๊๊ฬษฯเ๒สฒะ่๋๐๑๓๕๗๚๐๓๏ูะายญฏฒดส่๐ใุฬลหสำใ฿้์่๊โโ๖๚๐๓๙๔ํ฿เ๓๓โายยฺ์โยรฯฺฯิฬขขฯๆํ๖๓๋้แุัออศมภภฟรอฺเใ๏๒๎๓๔ไๅ๏ๆใ๕๚๙๘๙๑มฉฤใ้้๎็๋๐ๆ๑๖๑๓๘๎้๏์่้๔๖๕๑ๅ฿฿ูัี่๛๘๑๗๚๚๓๖๚์ูู๎  ๗๛    3X?DW%             ๎าหแ๖๗๓๓๏๔๛๘๚๙๗๙๕๎ๆเ๋๚๕่ๆ๐๓๐๐ํ๊ํ๒๑ํ๐์ใๅํ๎๋ไไ๋์๑๘๘ํ฿้๗ูฆyƒ œ—œ™‘’œฆจž“‹—ฃญธฦาาสสษมฟอใฺฺุ้ิฬัุัฬฮำเ้ออื๋๎ฆฆ฿๎โํ๔๔  ๖๐๙๓฿ููวฐฎถบภึ๏์ฺึิลผอเฺูๅ๊โ฿ๆ๋๋๊๖๒้๊เๅ๘๓เะยฮใ๖ ๒ฤฝสำืีบงษ้ํ๕๔๊้ๆ฿ึำะสษอฬฮึเโๅ๓๗์้ๆฺุๆ็ใ็๕๖๏๖๙์ัวึ฿ๆ้ๅ่็เ็๔๔๑๔๗๕๏๊้็่๎๒๏๐๐์โฺั๔๘๒๖๛๘๚๚๘๒๛๚๗๏฿ู๊               2X?EU&          ใฬา๊๖๗๖๒๏๕๖๔๘๚๙๓ํแโ๒๛๛๚๑๊๊๋๎๑๊้๋็๑๗์๋๑่ๅ๑๏ฺุ๋๊์๓์๊่ๅํ๘ํฬฃv…Ž“™–›ฉณฉขขข‘‡†›ชณมาาฬฯฯวลำๅ๊โืืุิฮอัไแา๊๖ธขไ๗แ๏    ๕๔๚๔แึืฤงฎหึหฦ่๗฿ำุยธะแ็ๆใเุ้๙๐ๅ๊๑๋แ้๐ุัฯิ๋๕วทฦาีุำพอ็่๎๖๋โโโฯฯำะหศฦสาฺโ็๓๑ํ๒ไ์์แโ๊๒๗๒๑๙๙้ึฯื฿ใ่ํ๏๋่่์๐๓๓๓๒๐่ไ้ํ๏๕๓๑๖๙๔ํิเแู็๙๛๒๙๚๑๖๙๑๙๘๕๎โๅ๛๙ ๚๛      2Y? BV'          หูํ๔๙๖๎๖๛๖๗๘๚ ๛๔๔๖๘๒๊ๅ๘๙๖๙๐่้้ํ๑็เๆ๎ํ๋๑๑ํ้๋่ไๆ๊เื์๔๊๎๕๙๕฿ผ ŒƒŠ‘”šžฆชฆคŸšœ ฃข”Š‡Š—ฅญยูุฮฬษฦหิืัฮิูาฯะฬศุ่ไ฿ืฬไไผม๋๐๓๛   ๓๐๖๎าฏฐษอหฤดะ๖์าถผิุใุ่่แเ๊๋ํๆใ์๐่ใ๊๗๎ูัา๘๕ิฟยอึาะีวึ่โๆ๑๋ไไๆๅ฿ฺฯสสศฬึ฿็์๏๕่รณอโแๆใ็๒๕๖๖๖๖ุ๊ิเใ็็ๆแโํ์ใ่๑ํ๋๑๒๋๏๖๐์๖๚๔๗๘๒ฺ๊ีใ่ๅ๐๚๒๘๚๘๒ๅใ๙ ๛  ๘๚ -TA!@V(      ๗ฬื๎๚๚๏๋๔๕๕๛๛๒๑๙็็ๅ๋๚๙๔๙๒้์๏๑ํแ็๔๒่ไ๋๒๐ๅโ๎๓ๆืัั฿๎่ํ๔ๆวฒญฆ™’‘Ž–จฌงคกฆญจž ชจŠŽ–žขธึฺัสฤศีีืใ฿ฯะำอสหหฯษส่็เุ฿ฬลๅ๛๙๖   ๕์ๅอปพฯีฬำยธเ๔ๆัตบิเ฿เใแๅ๑๔ฺ่เแเ่ๆ้๒๎ูหฺ๏๔฿ยบฦาึุูืฮาใฺ๊์็๊้ใึหสิเไ๊่฿ุสภถจผ็๋เแู๋๑๓๖๚๖ใื฿เไ่ไใ็ํํ็๊์้่๊็๋๑ํ์๏่ใํ๘๚๙ํไืไ๎๋๕๙๖๙๙๚๙๔๕๛๔๕์ุ๛    ๚๘      (UC#7T5         ๗ฺฮ๐๖๒๘๚๚๔๔๚๕็่ใ่๙๚๑๑๐้์๐แื๋๕ํ้้๎๓๎๒๋สวำลนฦฺ๎๕฿ลมพฌ’x‡›ฆงกฅฒฒฏงžงจœ šŠˆ‰‰“Ÿฅนาูำฬศัูึืืำำุาสหหสำแ่ๅฺืึฯ็๘๙     ๕๑ๆสธสำูึรฤ็ูฝธาุูโู็๋ีแึุใํๆ์๒่ืิโ๑็ฦนษำาฺ฿ิษัแเๅ์่้้ใึีาฬหาไใ็็ิสฐฌชšฌูแใโใๆ์๒๕๛๚ๆฺ฿โเโๆ้้ใๅ๏์ๅๆ่ๆใแไ่์๎๏ํํๆๆ๓๐ใ็๏๓ ๓๛๗๛๚๘๙๒๙๚๕๔๎๓       #UD!$8R3          ๗ีฯ฿๑๖๐๙๘๚๘๓๗๘๙๓ไฺ฿๎โ๐๘๎ใ฿าู๏๓๎์่๋๓๎ํ๏แัูโฯพ๕ฬฑช™~mlrv~˜ฉŸžญชจฒณชฏฏœ™กœ“‰ƒฅฒพหัาะฯาฯฮฺอสััฯอฮสศั๊฿ัูๆุา๊๛๘     ๎๊ลพวยริัภพวึ฿ำศึไอทษุึ่๗้ๆฺ๊ำเ฿่์ใเไู๊้ำ็๒าบษิฮิ฿ูววไฺ฿๊็ไ็ใฺาะะฮัเ๋้๊๓๒ํํ๎๎่฿าภมะึฺเเ฿็ํ๋๔๒แเๆๅ่๔๗ํ๋ํโโํํ๋๖๖้ไโไํ๐๐๑ํ๋๓๔ๅแแ็๓๘๛๛๚๙๕้แใํ       #WB #  <P/     ๛   ๗  ๖ีัเ๎๛๚๔๒๖๙๚๖๔๓๗๐ึิ๕ู๊ีาํ๎แแ๊๑๐๕์฿ใ์๒๔ํ่้่่๕รƒnt^?BSX^r€‘ฅงž ชฑถธดฎฉขขฉง•Ž“|z‘ถอฯฮัำาาฯอฮิิฮาืฮษฮฮหฮุ่้ึำ๋๐ๅ๐๙   ๕่ศปลมฤฤฑงงถปฟิุ้ฬึำฝทษุเ้์่าๆ๋๖๘๓๗๘๊็๒็ัู๎แฤยฯิำึีละใแไๆแไ็าัััฺๆโัฦยผธนธนษแ๑ ๖๓๊โๆ่ใูเ๎ํ้๓๒ฺุ็๊๊ํ๏์่๊ํ็๋๐๎๏๒์่๎์็ใ้๐๔๘ํไํ๚๑ๅโไ๎๛๙๘๛๖๛๚๚๐๒         %WE >V,        ๙ึฯ฿ํ๙๙ํ๑๛๚๘๚๘๙๗๘฿หโ๛๔ํฺหู์๏ํๆ็๋ใโ้๋ํ๒๖๎็็ๅ๕ ๙ป_eteQ^ifotlr‹Ÿฆฆงชฒทดณถฎงงจค˜ŠŽsdsฑสะึุะะูเฺืืำหศสัำีโๆแ๔๛๒ํ๔๗๘๚  ๕้ีสษิเาศฌจภหาไ๏๎์ฺวยศฯะหฯะฯำาำ฿่้๏๒๓๗๖๓๏ๅ่๓ๆิๆีวฯฺึฬี฿ฬฟิโใ๊ๆ฿ูีำัูๅไอณชจž—”‹†…xjjy”ฌปอ์์ึะๆ็็฿ไ๊๏๐่์๓่ๆํ้๋๐ํ่โเ้๑้ํํเฺ๊๏์้฿็๛๙๒็ใํ๚๛๙๘๚  ๘๘๙๙๚๔ไฺ่            )XF#;T-          ฿ฬฺํ๗๖๎๓๘๗๚๗๘๛๚๎ฬั๏๛๑อเ๗๑โ็๎๊่์ํ๎๏ํ๊ใุุ้๔Žkz„zwŽŒ†}x™ฅจญฐฒธธดทดจคกœžœ˜—{T]w‰คบลึแุฬิฺฺใ฿ัะฯฦวาิำ฿ๅ๊๘๐็๊๏๖๚๙๛๚๛ํ๋๓๑๋ํฯฅญา็๙๒์รฑฒฝมละีฮๅไ๎๘๚๘๗๛๛็ใ๔๔เโหหฺูอั฿ำพวใ็๋ๅแ฿ัสสฮไำผณณดฌฆฃ—‘‡zslXCHa{œทฝฟส๋๏๋็เีูๅ็่๑๐๋๓๒้็๎๐๏็โเ็๋๊่็๎่แ์๐์๏ู๋฿๒๖๏์้๑๔๏๛๘๏๚๚  ๖๙๛๛๚๐้็        (^E "8W6๑          ็าฺๆ้๐๚๗๘๗๖๚๙๚฿ำไ ๔ํ฿ุ็๓๒๊็ํํํ๑๓๑ํ๔๐แุะ๘ิƒr’š”ˆ’‘“’Ž‘‡“ฅฅจณธบฟฝตฒฎฅฃงงก™‘]Nh‚˜ตยรำเิฤหฺฺ฿๊เฯหษศะืืไใ๘๓๑๑๓๕๕๘๘๘๙๘๕๙๕ะฃญิใ๕๘๕๒๗๘ํฺฤญฃซฐฏผึโๅ๓๗๒๒๐๚๙่ๅ๙๘ไโไำหัฮอูีวศูใ้๎ๆแโูาาำ฿ไฯฟฝฒฉฉงฃœšž›˜ Ÿ“Œss€–ฎฏฏตฤื๎๙๎ๆเ็๓ุ่฿้ํ๏้๋๖๋ไ๊ํ๔๓๋ํ๊็ํ๐๎๊้๋๑ํ๊๕๒ๅ๊๕๛๙๛๘๛๖๛๘๖๚๛๓ไ๑   ๛   -UE%! =Z,          ๏ฺ๊๋๔๚๚๙๙๖๗๛๚๐แ๒๙๖๒ไโ์๎ํ๒๐็เใ์๑๕๒๏์๊โ฿†u™š—ž“Œ—กกš’•–‘‘™ ขฅฑฝฤรปณฌงฃคข›•‘~fVUf~ขวสลฺไะฤฬีฺ็ํฺววอฬัๆู่๚๘๙๔๕๚ ๏๕๚ ฟ™ฏาใ๗๚๘๓หศฬีโ๏๙๗๕๕๖๏ๆ๊๓๕์้ๆืิัิาัำอฦฯโ็ๅ฿ึฯฯีใๅะมผชฃชจž™žžš›š”’”–š•…ƒฅญชฒหไ๕๘๐ๅใ๎๋็๏๐๊ใโ็๋็็์๎๎์้๊ํ๎๊๊๏๔๛๚๑๕๚๏ๆ๋๗๚๚๛๚๕๔๙๘๖๕๛๑ๆใ๎       3MB)!FX%       ๔ฺู๏๕๑๕๛๙๛๕๔๙๙ํ๊๏๖๕๋๓้โ๏๏ไ้์๎๔๋๏๚๏เ๎๏ไ๋๊šคฆ˜—“–กฅขœŸฅœ”› ™•šฃจฆชปฤยรฝฎจฆข ™“€le_`m‚ฉหววโอฝยา฿ํ๎ีฤฮะฯูะูโ๒๚๘๘๓๛๙๕๕๔ป‘ฝโโ่๚  ๕๑๗๗๑๛๛๕๙๚ๅ็๎๒๘๓็฿ูีิำะสฯูสศุใๅๅโีาึ้๊ัฟบซขจค ฉชซซกžœ งจ —‘Œ‚zrkvˆ‘ฆสๆ๓๖้็๊็่ํ๐ํ่็ไ้๙๕เโ๏ํ๎๐๊์๒๒๏๎๋็์๗๖๖๏ๅ๒๛๛๓๗๛๚๖๚๚๛๘๐่ๅ๐         ,OD)"BY*        ๓ู๑๖๔๐๓๘ ๓๘๘๙๎๏๔๖๑ํ์ไ๋์ๆ๊๕๔๏๋๏๏ุวอไ๛๓ธžฉžขฃคคŸŸค š ข œ—ฒดญปลภพมธฌชฆž™ •€ui`ely’ฏฤฬะ฿ใสบละูํ๊ัหิืุุีุเใ๏๛๛๛๛๛๙๛๗๚๗๛อ ตใๅ๔๘๚๘๒๕๖๘๑้๎๎๒๛ุ๋ีึีฯิิวฦุไ่่โึีื๏๑าปปดง Ÿ šฅญฆงจ ขฃ  ฆฉฅกžž—‹|tuzถีๆ๔๓๋่้๎๕๏แเไไ๊๐้ใโๅ่ํ๏๒๐๏์้์์ํ๔๗๘๐่๎๘๙๔๓๘๖๛๖๗๙๗๚๔โไ๘    ๚         -RB(##=R1        ๚ ๓ีเ๑๔๘๗๚๘๘๕๚๓๙๚ํ๑๕๑๚๒๒ุ๊โํโ๕๔๖๘๊ใ฿฿ๆ๏๔๏ีซšก ขชชขขฌฎฉฉงคคฃขฃฃกŸคฎฏฎพษมบภผฏชญ”ก™~rbloržฆมะิไมพฬฬึๆฺฬึฺใ๏๐๑๚๖๗  ๛๒ำดฌว๊๐ํ ๙๘๗ ๓๗๒๑๛๚ๆแแฺิิฺศฦฺใแโึัิฺเ๕๘ัดนถฅ˜• ซก—›ŸฅฌญซงงจกœŸขŸšœ  šŽ‚zt|“ฌย๗๔๏๑ๆืใูิฺไ๐๔๎๎๎่๋๑๐่ๅ๋๓๓๋๊๒๚๘๙๓๋๏๖๘๗๘๖๛๓๔๗๖๛๙๙๛๗๙๒ใๆ๖        4U@# ">R2๚    ๛   ๓ืโ๒๕๙๙๔๗๛๙๔๒๖๘๙๙๘์๐๒๗๚๐ํ฿๊๋ใๅ๐๓๕๗๊ๅ่ใๅ๙๚๊วชขฅขฆจ›žฐฐชซฆฃชฉกžžกฅฆจฐฎญภสนธมพฒซฅœ—›†€{ko{y„ฉดฤฯๆืภมฮาๅึาฺูเ้ๆ่๏๓๒้๊๒๖๘๗๖๚๛๗๘๙๘๚๖ฟฏภ้๙๎๗  ๛๛๐๛๗๙๒ใเแ็ไิะึิฤอโใุไ้๛ึฒทณ ™˜žญญงฉจคขฃฌฐฌฌฉคฆฃŸฅฉฅคฃž™“‹‚{~žญฯ๗๕๐ัแ๒๗๏โแ๊ๅโ้่ๆ้โุแ๐์ไใ๊์์๖๚๘๖๑๏๔๘๚๛๚๗๕๓๛๚๔๛๙๘๗๐็็๓      1SB% =W,           ๑ืโ๘๗๕๚๘๒๏๗๛๖๕๛๘้๊๖๕๑่้๑๊ไ๏๓้์๔๒ๆไ๋์๊๕๙ใัฤญฃฅ œŸฆฆฅคซดดฏฉงฌญฅฃฅคฆญฑณพรมฟฟฟนฉŸŸ›œ‹{}wpŽƒ… ปภศูแเีภพอื฿ิฯุไแ๋๑ใเๅ็็๊้็้๐๕๕๔๕๕๕๓ํูปฎล๊๘๓ ๛ ๚๛   ๛๗์ๆ็เฺุอฦ๋ใโ๊ใแใุ๊ถตฌœžกŸฉฐช คฌคžซถฎคฆฅ ฅซฌฅ คซฎชŸ™–••‹…Žดแํ๎๓๕๑็๋๘๙๋โๆๅเๆๆๅๆืส๏์๎๑์๋๒๛๛๏๑๖๏๐๖๘ ๘๘๚๙๓๎๑๛๛๙๖๔ๆใ๖     1WE ;Y.          ๏ีๆ๚๘๗๚๛๕๎๓๚๘๒ไ๏๗๋ไ้้่๒๕๏๋๓๔่฿ๅ๑ํํ๕ึอลฉŸฅŸฃฏฎณนฑฎบนณฏฎฑนดขฉทฆฆณถพษพถมยดง กคž‘…z~‘ƒ‘…Œฉมหืใๆ฿ฮผฝะเืึ่่โ้้ใ฿ใๅไไ็๋์๋๊โาฦวุํ๖๛      ๕๛้ิใ๕็ูัำฺไใููๆ็฿่ฝดฃ—ขจกขชจกจชขขซณฒฏญชงฃฃจฌญฌฅ™šงชฃž—”–Ž™ˆชัโ๎๙๋ๅํ๓๒๎่แ฿แึฯ้๊๐์็๓๚๑๐๑๐๏๎๓๙๔๏๗๛๘๘๚๕ํเๆ๚      ๙๙ 1WG!!@Y*         ู่๋๙๘๖๗๛๗๐๗๙๘๚๊็๒๚๊็็๊๓๕๏ํ์๓๚ๆฯ฿๓๏้๎๖่ำฬยฆœฅคคฌฎซฏณดปผฐฏดฐชงฐตชœฆณทวสฑซบยตฆกคฅ™Œ‰„‡Š™Ž‘›ฉวื๐๑ืลพมีแเเใเุุแ็็่๑๖๖๒๓๔๎ไแไๅๆ่ใฺูโ๋๑   ๚๛ ๛๗๑๐ใไ฿ำำูเุำโ้โ๎๊ฬฑ›™คงกกงฉฉฌฏญขคฎฐชฅฆชฉฅฆซฉฆญฑฆ›™ŸฅงฅŸŸŸ—šจฃฆตฬ๏๚๑ํ๔๕็แ้่็่่๋ํแุไ๋็ไ้๒๚๕๔๗๐้์๒๙๙๗๘๒๖๔๑๛๕๛๕๐็โ๏       /NE%@Y&         ๛   ไ๏๗๖๕๚๔๎๙๚๔็๋๚๑์๎่ไ๋๏ํํ๎๕้ฮฯแโเ์๕์ฺะทฅŸกฃฃฉฑฐณพพมษมนภภบถผมซ”ฅทฝษรฎฒมภตฆŸงฃ‘“‰†‹™Ÿ•“Ÿœฉัโ่๛๖ืษศอูๅ์็าวฺ้๊๏๛๚๘๖๔๓๐๕        ๙๎ไ้์์็แใๅแืะำโ๓๎ใ๏๘ํึข‰œฉก  ขชฌ ฃชข ญณฏฐณฏฏฑฏงซดฏขŸŸฆฏฉขฅคขขฅขกงฌฐฎฉภ็๚๚๘๒๐๐๊่๑๔๋๊๏ํ๎๐฿๒๖์๊๋๏๓๑๔๓๊็๏๘๕๖๙๔๔๘๛๗๒๑ๆ่๚  ๛   ๛   ,SC@W(      ๚    เแ๑๔๘๙๘๘๓๑๛๛๐๊๖๘๔๎้็ๆ่๑๓๎๒ํออึื๐๔ไเ฿วฏฅžกขšคถดฑธพลฯะษวฤยยยธ™Žฅธพสพฆฎฤรดงฃกš˜”‡‰’’”šžŸŸงช ญู๐๑๖๑ึฦอืไไ่่้๛      ๙๔้โไ์๐๔๑ๆฺิ฿า์่๐๚๊ึก‚ช™žดฎคฆฌจ คชจฎฒซฌฒณฒฎซญฑญฅฆซงฃงกœฆฃ˜กฅšœ Ÿกฌธปถฟ๑๕๔๖๖ํๆ้้๊ํ๊็็็้เ฿๏๒ๅ๊๒๑๖๖๑๏็่๗๓๚๗๓๔๑ๆ๐ ๛        1_>">Q'         ๖ฺๅ๓๕๛๘๔๘๕๖๚์๎๛๖๛๕๋๋๊่์๐๏์ๆูฯฮฮัํ๕๋ใไืภช—™ฅจ คญฐณถถผสะษอสผยศญŒ‹ ถศฬถ ญวลดงฃงฃœ™“‹Ž‘•ŸŸžจฑฐซด๛๓๑๎ัลๅำึๅๆๆๆ็๐๙           ๗้่๊๑๘๕๎่โแ็ๆ฿ิู๋๐๒๚์ฬฏ›Ÿช žœกฉชจซจคชฎจชฐฑฏฐฑฐถณจงชฌตดงชฏฃ› ฅฆชชฃ›žจฌฉจฒรศหํ๎๐๛๛๎้ํ๓์่๓๒ใใ๋โไ่โแ่๎๏๒๔๏ๅๆ๐๐๖๕ ๛๖๓๎่๐          ๗8[;";Q* ๛    ๓็๔๗๙๗๖๔๓๚๛๘๚๑๊๒๛๚๙๚๕์๎๒๋ๆ็เุููหษหฯๆ๕๋็ๆึพ’Œžฃฆถฒชถบตนนมฬอฮยฒพสฑˆ~–ฝาวฎ™งฬอตฉขฃจฆ –—Ÿœขจ ฉตทฝบผใ๔๔ๆสืไุัๆ็ใๆ๐๒๓     ๙๎๋๓๗๓๎๊ๅเใแูา๋็๑๒ฮทธง–™›™Ÿฃฅขงซฉฎฎคงซซณนฑฐตทณฎดดชฆชจชซฃฅญชฃฃฅซญฃžฅฏตฏฏมฯำแ๋่๏๙๒ๅ๋๏ํํ๏๒๎ไเ่์แเใ๊๑๐๕๕ไแ์๑๙ ๙๒่่๚      ๛2Y;"=S)๛ ๛ ๛      ํี็๘๖๖๘๔๔๙๛๘๕๎๎๕๙๔๔๎่่ๆไโฺ฿วศๅ๏ํ๊ใึ€Ž˜š—œจงงฏฒทปฝฦอีานฐฤตr“ฟูสฆ“ชหฯบชคขŸ ŸŸ–‘กฆฆฉฆก จณธผฝลแ๔๕๊ำษฮอสึ็ฺุ๋ํ๘๙   ๘๕ํํํ๋่็็โเุฮำฺ๊๔ๆาลภฒ—œข™งกฅฐญฃฅจฃขจชดปทฒนมตฌดทฑฑณญชจฉญจคฃกกฅฅฅฅ งดตทยฮฺไ๊๎๔๑๋๑๒๏๏๓๓์๋ํ๊เิีๅ๊็๋๒๒๖๏เๆ๕๚๚ ๚๚๑โํ๘           (U<"$AO.๑๛           ๛  ใึ์๛๗๓๖๐๏๙ ๛๕๑๒๛๗๓๑๎ๆใ๋๊็๊็ใ๑้สฟื๐๓ใํ๑ต{–˜––ฅฐฎฉญถธฝฤวำฝงบธ€n‹บส™•ฒฦอมซฃฅขš™šฆŸฃฐจขฆ›ฅมษฤละๅ๖๐ูษศศลิ่เิึ๐๛๗     ๛๚๘๐์้๑๐็้์ๆเีออืฺฯา๊๖์ุฤทง•–ฃกœžกฆฎฎจคก ซชขชตญจถทญฌฏดถฉคฎตฑฉฌธณขŸข ฉตฒฉขคญณดฦเ่ๆ๎๙๖ํ๒๓๎๐์๊๐๏็ีิาิๆ์์๒๑ํ๑็๒๙๙๘๎ๅ๐       -O=%'>O3๒      ๙เ๊๘๛๕๖๛ ๛๛๚๚๙์๑๙๑์๒๒๏๔๕๋๋๒์้๏๎ๅาอๅ๘์๓ั~qŒ”‘‘™ก ฃฉฃฆฒดทมฤะเศชปบˆmƒธฤ—›ดลอฤฏคฃ ˜•”– ก ฆฏซกฃก“ฅฬัฦหฺ์๗็หฝมศาโเิเ๕๗        ๛๖๙ ๕๒๎ๅ฿ๅํ๏ํโฮฤษิิศฤึ์๛๔ีพฒš‘›• จฃขฉฏฏชคž—žญฑญชญฏฎฎดตฒฌงฃงฌชจฎฑฌจงญฎขฃฏฌฅฉงฃฆฟะะัแ๐๔้๊๕๗๔๓๎่เีูๆ฿ะ์ํ๔๛๖๓ํแ๋๚๘๗๕๛๚๏ๆํ  ๗           1R="!=U3๗    ๖ํ๙๘๗๒็๕๚๒์๒๕๑๖๘๑๐๓ๅๆ๑์้๐แฯใ๑๙โ†lˆ‘’’”œ žŸฃฅงญตนพยฬาปปต‘r|ต฿ย–šธอฮพฐฉกœžœ—•œคงฉซชฅ šš—ˆ”มูิา฿๏๏เษดฝะหฺ๒็ำ๒๘        ๛๛๖๐๚๚๖๐๋฿ืแ๋๋้ึฤสฮอษยส็๛๋ำฤงŠ“œ’™ฅŸžจซญฐชขœ•›ซฐชฌฐญตฤฟฒฌซฎถณญทผญงฐฒจคฌฐญชฉฌชข–Ÿตษอปมโ็๚๛้๋๕๏่็็๊แีฺ็ๅืื่๒๑๓๓ๆไ๕๙๙๘๖๛๏ๅ๑       ๛   6Z6DU)    ๙  ๕ุ๓๙๖๒๗๓๗๛๏๎๚๔๒๕๖๘๚๕๏ํ๎ๆใ๎๗๖๏โ๋๘ ๏hy€vzˆ“Ÿœฃฅ™”กชฑฝยหูำมฝต•x‚ตูย›žผฮฯรฐฆขฃฆž“ ฅจฌฑฑฃšŸ˜“‘{xฉำิัแูุลญมฯภื้อั๓๚๘     ๙๓๒๙๘๛๗๒๎ัู฿฿่ๅฯลวหฮรพแ๚๏์ด‹†“•™ šŸฏฐฎตฏฉค˜•žคฆงญธทฐฒตฑฎฐทบธบฝปฏจฏธฏงฌฐญญฌฅงจกฌฝณกคฒฤ่๖๚๒๑่ัิเีาฺโแฺแู฿๒๔๐๙๔ๆํ๛๘๖ ๓๖๘๛๎ๅ๓         ๙ 8W8 @V*       ๏ุโ๓๛๘๕๖๗๙๚๓๎๋ํ๔๓๓๕๒๒๒๎๏๏้๏๖๕๒๎๊๘&ๅƒ^jrw|zƒ“—œ š—™คจจดฟวูษพฑ•ˆฒุฦกกผฬฯฦดฆกงฆšŽ–žšคฐฏณฐ™š“‘p`ฏฤะโะฬณขพษภฯฺึ์         ๖๖๑๚ ๒ํเิเ๋โเ็฿ฯรลฯฟด฿๏๑๋ศ“x„‘—žš ฑฏงฏฏฉชฃ—˜Ÿฆซฆฎฟฝดธธฑฏณถดทฤฦดจฏทดฌฎถฏจฑณญฎฉฅซฌฃ ขฃณฤแ๖๕๒๓๋ใืหฦศหุไ๋์฿ฺไาใ๔๏๏๔ํ์๙๗๚๛๖๛๙๒้๎           ๛4Y;%:\1          ้ไ๐๚๛๚๙๖ ๛๚๛๛ํํ๗๎์๎ํ้๋ํ๎๑๓๓๏๊์๔ อƒny€‰Ž“”~€•˜œฃฃจขกผฦฮเุพฏ †„ฑสซซปศาวณญฆŸกš–ก›Ÿฏดฒญฉฉก™”„r`f‰ฉวไๅำยชฆนปผึ๐   ๚๚      ๛๘๗๙๒๗๘์ใ้์ใใ้ใูสพฤฟทแ ๆๅแอžpr‰–žšฌซคฌฏซญฅ˜•›ฆฆŸฅฒตทฝบตธพมปฒถมพฏชธมบฐฉจฐดฐฏถณฃžงฆขข›ฃธนส๒๙์ํ๎์ๆเฺฤณีํไไ่฿ๆึ้๙๘๒ํํ๕๖๑๎๖๚๘์๏๛             ๛2]<")!7[3           ่฿๊๓๓๚๖๘๙๛๘๒๊๔ํ๐๘๓๎ํ้๏๓ํ๋์์๑๖๊ฟ›Ž‘”Ÿฆฅคˆqu˜—‘•ฅจฆทษฯมฒญŒถษดธภหาศทญจ œš’”Ÿ Ÿฉตตฎฆฅงข™“ˆ‚zd[hฎศทงฌฒฌม฿฿เ๎๘    ๛๔๗๎แๅ่ไโใใ฿ฺัรฟยพำ๚ิะลญ|f‚šขงฆจซชฌฏฌญชž˜—œงฉชฌซฐดฎณรภทบฝพมฟปณญบฤนทธญฌดฐฑนฎ™šฅก™—–ณปป฿๚๎์๕๑็ไ้่หยแ๐ๆๆํๆๅๅึำ้๙๑๓๏๒๘๙๛๎๎๛          +ZC $$=Y2         ๙   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าฌœ–•›œ— ฅš™กœ ฑถตตทบทภิำฬิูุุุเใโโแไเึึูฯฬษมมรมฤหอษฮึุีัอวลยผฒชฐทฏงซฎฅฅฑฑฑณฒซฉซฐดฎ ›ŸœŸ•”ฉซ‘‚ฐืแึ้้แุวศ็ไๅแเไ๊่ืิฬฦพณฉคงฌฏทบอํ๘๒๔๛๊านฅก‹prฅณˆ~š˜Ÿกกฃขฉฑฑทฝปบผภฟฟฦลพมววศหสษฦฤศษหัำะิฺูาา฿฿ััุ฿ู฿฿เเแำเึาฯมฑซชฆฅซชฉฎญงฅคจญฅขขงฏดฎฉฌฌฉงคชฌŒ’๊๛๗ๅ็์์๋ๆ๎๙๚๔๖๔๊โํ       5VB$!BZ0      ๛โุ้๑๓๏๏๓๛๖๑๘๘์์๎ๅๆ๐๙ๆฬญšข›‘›ชจ—šœ”šฌณฐฏบยพศาฯิึุิใืฺโฺโเูึาฮหววฯฯลยสฮฮฮะะษลวสรนฏขœงฌคคฌฐณฑชญถณฎฏชกขฏฐคขคŸขฅ˜”ชฏ|ƒžศัฮแ๋ไ฿ี฿๋์ไฺีๆ๎๖๘๎฿ะฬฯศฝปมฟปภผะ์๑๏๔๘็ืท กžšƒ`oฌฐˆ‡šœœ งฌฎซชดฟฝพพฝบภศฟปฤฤฦสภปยฤศะะีุะะฯษาิัาฺๅโฺ฿ฺฺูิฺุึอยตฉขซฒฉคฉจฅชฌฌดธฐซญฌฅฌฑฉฅญณฐฅฅณ™yย ๑๖๋็๏้็๕๚๔๗๚๒๐๚๚๕๛๓๑๊็        6W?(CZ1    ๛้๎๕๔๎๔๗๗๗๑ํ๏้ๅ๎๗ ๔ีศฏ›ฅฃ—›žžชชŸžก”—งญงชถฝมสฯำูุูููๅแ฿ใุใไ฿ืะฬฦฤฦรฤสฤฟวอษษาำศวสบจข›–กฆฆงฅฆซชงซญงงฌฎฎญฅงฑฉžขกžฆŸ“ฆด–y}’ดาิฬึ็ๅุไๆๆ์๋ๆ่่ๆๆๅโแ๊๓่ำศวฤภรฮศวมฮๅ๑๖๖๘๗ไำธคฅฅ–sVsฌฎŠ‰™› ฅกžก ขญฑญณถถนฟฝบฟพพภภฦศรลฤฟลอัฯฮืิืัฯีฺุึำิโ฿฿ใาีฺูุิษมผธฎฉฉฉญฑญชซฏฑฐณฒซญณถธณซฌณนฒฃฏซy• ๐้ๅ๏๋ๆ๑๕๔๙๔ํ๗๛๕๓๑๏๋่๚       .\D" @`0        ๕๛  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๓โ฿ๆ๑๘๓๋๔๗๖๙๓์๊๎๏๔๕สฟฒฉฌฐจจฏฑฒธฌขงข”™ฅžœขฆฅฐตณพัููู฿เูโโใๅฺีะัอลภปตซชณนบภฝณภะหหหด“„€xnq†‡Œ’šœœ ฃจฎซงฉฌฌฌตตกšงจœŸก—งผชzw‰กชทผลฺๅ฿ใ๋๊แเเูืษผนณจจฒถนทฑณฐชผาูุ็้฿โโศฐ Œuc_eฌณ‘Ÿ ฅ›ฉฆžกคฆชจฉฑฏฆซณฎจญฒดถฏจฐพรรฦฯีึีึีำุเะอึำฬฯีููููููืุ฿ใโูิอหสฬหยวฯศฦฬศมปปรรธฝฤดฌถถตฑคชฏคฏขm‘๓ ๛๊฿่์ไ้๓๖๛๙๏๕๘๓๚๛๖๓๋ๆ๑         3W>#%AS.            ๗็฿็๐๖๘๘๗๚๚๕๔๒๐้่ํํํ็ะวฝฐฌฎฌญดดฏณธญคคฅžกงฅฆจกกฉญตผฤึเฺุูแๆูืฺืะอสฦยปฐงจฑถทปบฒณรำียŸƒx|}mewŒข ชดถทนทณดธนทตณตบปฑฏดจ คž”ซผช—„t‚˜–ฅผทตลัีฺัฯศบฐญฉคจฌฉซถพปณฏฐฎงถฤฦิ๊๋่็โแิฐ”‰q_grƒฉฐ“‘œกŸ—žฃขซฐฆงซกฆธดชฐฒฒถฎซตทณถถถธถยอะัิืูีีูึฮะำฬสฬฬาึึุ฿เแิา฿ใูาฮศฦหฬรบยสรผปพมมภฤรฝมลรยฟฒจซชฅฏฃpƒ๔แไ์็ไ้๐๙๓๐๖๕๕๚๗๓้ๅ์        -SD$#!BX.       ๕โๆ๐๙๘๓๛๓๙๘๕๚๓๋์๎๏๏๕๐ืฮศบฐฎฏฑททฒธยนฎฑฎงคจงคฃฃฃจญฎดพมส฿แฺแแูููืุูฯฮัฬภผพบญฃฅซตบฏซณฏฒัึถ“xv}gSl—ฌฎซฏณฑฒดฐญฌฌฎฐฒถทฏจณทดทญขฆ”ญพช”ˆ‰–ดฟธทธลฬยถธทฐฑฒญฆฆซฉจฉฉงคกฃฅงฏผรภลึๅใุฬภคŠˆˆkcuwชด•”ž˜™›—Ÿฌฉฆงงชฉกขฆฆจฌซตพฐฉฐตทถตพพณบษฬฯฯหฯูำฮะาะสศฯฬฮูืืฺฺฺืฺฺูีาูึฬฬะอหวมฟฟยลศสวฝภรผภสฤผทฑจซฌจฎฃuwวํไ๋๎็ๅํ๕๛๗๐๙๘๛๗ํ๋้้๖             *ZA!$"CV3             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 ๎ุิ็๑๒๛๖๙๙๔๕๘๛๒๖๘๋ํ๖๔๘•~ชดฏฐฉซดทฟฦฟยยนพลวฟบภฤรมภพยฟณดบฏซธปดดนฝษฦฒธษฯธผำัลหฟฏถฑฉจˆฃจญณถฝาูัำีอศหภดฎงฆซจ  งซซฏณดบผถนฤมบนฑฏฌ ˜š˜–”†Šจฒ˜yฌฮะฮิีำึฺะษาึฮัีะอหวหฬฤรภถฐผหษฟลฯฦราีอวหหสอฮสวยยษะิิีผˆ‰‘Š˜ จฑทฝยลฮึิิึึาอหฮษฦฮฤถตพณฆซดธนบบมษฬษรฝฒฌฏจ˜•ฃฅคฑธฒฒผยวฬสัีหอฺุืใใืึุเ่โ฿ฺสัุััฮสศฮืูัีือยปดธฟถณธฏชญฃŸค‘• ๓๏๓๒๋์๔๘๚๗๖๔๗๛ํๆ๗     4_<""CU-  ๗โฺุๆ๑๔๘๖ํ๒๖๓๘๛๙๓๋๋๙๙๔กwกทฑญฐตนดทรษรธฟศยวอฦพมฟธนตฐตทฑดนดณทณฑธพฦศธฏพวฑถิีษศผฏฎงคง˜†’จฉฌทธบฯฺิึิฦษฬฤทญซชคฅฅŸฉฉฆชฎฐณตฑดบนฏชฒฒ — ข— ฎ˜y|ฅวสวอะฯึูฬศฯหศฯฦผสิฬสรบมษบฒมหรรฦฦฬฯษษหอฮฬฯฮวสษยรหิุึึะฆ~ ‘Œœกฅฏญญนภฤฮัฮึิฬาอวอรทยฦพปณฅฌดฎชณบทภฬฬฬวธดดฆข ›ชจฌบฝนฝรสฬอฬศอุึัู฿฿ไโ฿าัเใูำอษัิัิิฬสฯิฬพฑดพถฒตฑซญฃกงฺ ๛๕์์๔๖๒๑๗๛๘๓๑๗๖์๐๗๐ๆ๓        3Z@ DW* ๛๎ใ๎๕๙๛๘๙๚๕๗๗๘๙๖๒๎๕๚๕  ฒu™ฒฐฒงจตดดผมรมมยยยมฤษฤผมมธฒฎฑปธฏฑฒฑฒฎฏธฤษฤรฤฝตยฺฺษรฝญฆชฅฃ˜„”ฏฉคญฒมีาาฺำฬหษฤนฏฉซชจค ™žซชจซฏฐฐฑถนฝถฆ ซฐชค ฅ”…•ค˜€vฟฯศษฬฮิำออฮศศึือำืออสบปฦฟฝรพปยรฦฯษมฯาษฯัลฦษพมรฦอึุืุภ””ˆ‰”Ÿฆญดณบลฤศึำฤฦาีฮฬศถฐพฦรผดณฒฑตฐฏธผยสษฮฯบฉฃฆฌฃ‘’คชซดผนถภสฬฬอฮำีัาีุู฿แูีิแ฿ีสวหัาึีษรวอศธฐบผฑซญญซฃขฆึ๗ ๙๎ๆ๎๕๒๏๕๙๖๐๑๖๗๐๊๑๖๊๋      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1X>$:M/    ๚็ฬภลิ฿แเใ่๎๒๓๙๛๖๎๊ํํํ๏๓๔ ๙๎ํ๐ฺยด •Ÿฌณถฎฌญฌทฦลมฦษสฮสฤศฤถถตฉฃฉจฆชฅฅฑผบผภลฬอฤผธถตฎฌตบธฝฝดฌซฑฌคœ›ฉณฑพหมมฮหวัาสษสษลผธธปมปณตตฌฉจฆฆฑทฐ„tronyz„กฎ‹dmŽ~YWRUˆดบธบบบฝลศฤสฮศษหลฤฟฎถอฯศฦปฝหหฬฯวฤมบฟลฝฏ”o^o„‹Œs{˜ฉฉฉฆชฉคกจฉญฒณฐฑฟสัุืีุอบถทตธพปณฒฌ Ÿขฉฏญซฎปลลฤยทฏฒฑฉฅชณณฒพะๅเะาาาููแไูืียฝบฏงขž ขž˜”’™ ž’•™ขฎฐฌฌฐดฝฒงบาึ้๙๓๙๚๑๎ํ๑๗๒๏๖๗๓๘๗๒์้๒๛๛    2X@!@N,  ๘๒ลลวัโ้้่้๓๗๖๔๖๔ํ่๋๋๊๓๖๐ ๚๋๐๖ํิมณฃ™งซฎฒฏญญบศยบฝฤฤรศภผพบณฎฅฅจงคจจงฐฒฎดมวศฯหพผปณฐฒธรรนทณซฐธณจขžกฎตณผลภยฮอฤฤษฬหอวผธปยมททนณญฌซฌทบญ”…ohuy}ฉ™rt‹‰j\TS~ญธทบธณนรยลัฮลอฬพภฟฌฐรรภภบพอัฦพฟยฝถฝรนช‹`ZwˆŽ}pƒžฆซซจฅฃคฌญญณฑฆฐรสหิืฯหรดฑณญฒตซฏดฆœกฃŸฃซฑธถญฐภฦฤฤฝถถฒจคญตฑฒรำฺไๆีษีััื฿่ไฺษบปพณจž•‹‰ŽŽ‘™š–œžฉณดดฑฑตณถดจตฮีใ๙๖๒   ์์๒๒๏๎๓๙๕๓๕๎๊๓      ๛ .V@DT,    ๓๐่ฮวหฤัโโ็๔๏ํ๒๐๖๘๐๋๊่้ํ๑๎๕ ๙๘๙๓๓๊ะพณฃžžžจซงฎฏฑฟหรณฐนลฮฬลษสฝฐญฉซฐฑฐชงจฏถฏฎรศรหฬษสพนฤภดยัสษลนฒณฎจคคฅฆฏบบฝฤฤฤษสวพปฤฦภรฤผทธผปญจณทฒทบฏŸ›˜ˆ||ƒ‚•ฃฅ‡~€pf[WtตปธธถตภฦฦสษศหลยฤถŸฌภบถฝพฟรฦลลยฝธปมพทขpQe~‰“Štw‹ฉจคงฆฉณฒฏตถถนธรสะำสยมฝททดฌงฎทถฆกชญชซฏทฝปบพฝพลศฤฟมบญฅฆฏถดฒมึโเุุุืืีึ฿เฺๅ฿ฺเโูอฬยฐฏฏคจชฃ››ž ŸŸฃฅฆฐปบทฒญตผปภธงซษุ๏๙๚  ๒ๆ๑๔๊๎๋่๛๖๔๕๎๋๐๔๙๛      ,Q>"=S2๖์๎ศอหลิฺ๋๔๐๒๖๙๗๓๐๋ๅ่์์๋๏๗๔๓๑๖๋หนฑฃกกฃฉชฎณถภลพทฟอัฯหภธถตนณงฉฐฌฌฑซจฑณฎฒพรฦษวลลรภยรษฮอิืฯลทฒฑฌจฆคฉฎตฟฤฟมสฬสอสรลวมบทธนถปฟนธพธฐฏฆŸชซŸ’ƒ{{‰Ÿฌงจง”„ynprf[lŒฅถปฒชฒฟฟพศษยมพผณ –ฌธททนฟมบฝษผฎธฟฝบฏ…[\o{•ƒs{ฅคฅญฒฏชงชฐถณฎณยษศรฝฟพตฎญจขชฑชฅจชชฌซจฆฉฒปปปภพธฤสปฐดฎชฉซตตฑว฿฿ููึีููุืุเใเิอฤณฒฒฑตฏฆงซชฌฌซฐดตนธดฒถฟฦรฝผนฎฆปิุไ๙๛๚   ๎๋ํ๕๒์๔๗๑๏๔๘๔๑๖        3T8 !=T2  ๖ํ็าศอววุืๅ๗๖๖๘๓๐๔๒๊็่้็่๒ ๘๒๕๔๒๗์ษฏญฉ›™ฅชฅฏดฐตฤษฤยสัฯหหษฤนดฒฌฉญดตญคญปบทธฟรฤฤหหวศษษสฮืืืึะะศถฒณฏฐชฃญถบพผมอฬวะษผผผฟฦฦมฟมลปฏบมฑญตฏซซกœ™Ž–˜กจชง“‰~jfosik€—ฆฒณทรฟปวษรฝนณฏฅ™Šˆญฐณทปฟฝมมบฒถพฝฐ™sYboy“—{oŽ˜ขฉจฆญณฎฎฒฌงชฐธฤวยฟปดฏญญญจฃคคกฆฏฌงฐทฎฉซฏฝศภฝฤมยฬพฉคญญฆซทดบัููๅโุเแใโโ฿เีลภนดททฏชจจซฎฐดณฒถนบฝพฤอลธบผตฑชตฯำฺ๖๖  ๗์้๐๏๕๔ๆ๖๗๘๑๒  0Z;" #=U5๛  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๚๔๗๓๘๚ฌ„s† ชฌฒณถปปถนฟฐฎนนบฝรัืฺุูโเฺูีะำาอฯีิฬวฮำฮษฬะสลรบฎญซกขฏดถมฬึเ฿ิิูิัะสวษษฦฦวรฝผฤฤนฏซชญฑชฃฅ›—จฌฃขข™‘‹’™Š„ƒpt‚‹…“ฅจผสตซตณจฃ’‡Œ‰…ŠŒ”–šš“‘‘Š†ˆ‰†Žกฉฉฎณฌ›ฅ“‡Š~xฎพบž‹…€ƒ”œŸšขขกจฐฐงš—›››ššžกฉดดซฒผณฑนนทถธศำัีฺีฯำูัฺุโแฺิัฯึููเเูศลฬฬภฟยปตทดฎชฉชฌฉ—‘”™กฅฅฉญญญญซจขฃข›ฐๆ๏็์๒๐๙๖็ๅํ๐๕     *[E>^8 ๓๊ๅๆๆเเๆ๋๋๐๒๕๒๋๑๘๊ใ์๑๔๑๓๙๘๔๔๒๙ ๐้๗๚ตz‹ฅซฎดฑฒทผปนธฒฒถตปรฬีะวัโเีะาืึึูุุึฬวหัูึะะะะิฬฦภณฎฏง งฐดทมะฺฺูฯอิาฮหวศวลสฦปพลลภฐฉตตงฆฉฉฉฅŸจญงกš’‘‘‹ŠŒmsƒ€€ขณฒฤลฌซธฒชค’ˆ’‘’“”•—›Ÿก š—›˜ฅฒค ถปฌงง›Šrxžทดฒตฅy~Ž“šจฉข Ÿงถทฐณณญฆฃฃคฌฒฐฑตฑชฏดฎฏธฝนทบฟยษฯำิุโูๅใืแืะะิโแ฿เึ่ใ฿อศศยลลฤฤมธณถถฐฌญจ งฎฐฑฐฌฎฑฒดทณฏดฑžŸจŸถ๑๘๊์๖๓๑๒๏๓๖ํ๋้๎๖  4[?B[1๐๑๏๋๋ๆไ์๒้้๔๒้๑๙๊เใ๊๏๖๖๒๕๙๖๓๓๑๚ ๑๎๙๚฿บ—„‘งญฎฏฑถธดณฑฏตนดทมวศหอาึฯัเูิืูำสษูเิฮึึำำฮฮะวยยธฑณซขคจฐนธฟาู฿ีะูุฮฬฦภฤษรฟยมปบผปบตฏฉคขฃฃชดง™š–Œ‚ˆ“}tr}‰…‘™‡‹ชนภลถซถผดฒฏ“šŸฅจฃœ™—™š›คฆœ›จฒฑญฆธนคจช•‘—~j…ชทฏฃฑบงŽ€tsžชฆžฅฎซฆชตบนฐฌฒณชฆฒบณฐดถฒฏณนทดนมศหวฦีเูั฿ุ฿เ้ๅแฺเโ฿เแูืฺสฤวภฝรฤฦศศมบทถดณฑงฆฌฒตณธภพฝฝถฐฑฒญคคขขษ๚ ๔์๐๕๙๛๛๓๏๚๘๎์๋๊๖    ๙4_?!!=[4 ๘๙ํโ็์๎๏้๊๓๔๓๗๔๋๎ํแเ็์๕๗๕๕๐๑๔๒   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&EO&     ๙ ๗๊ใ฿฿ใๅ้๐๖๘๚๗ํ๏๘๑๙๗๚๚๘๚๑ุรง}s‘ฅฃฃฆฆœŒคœŠ‹’“Š•˜“’„€ˆŽ‹คญฌทยฬูืะุืะีึะวฟฟฝณฎญ šชธบผศึูึฺเููำฯำีฯหหภทบถฑถyฑซจฐทฟยนฐญฅš‘|‡“Ž‰‡Š•‘…ŒŸชฃŠŠฅซฅฎฏฉซฒละรฌฉฏตฒชชฏทพลหวนธฌ|d}›ฑนฐฆ—‰”ฌธบนถฑญดฝฝดงคฌฎฅฅถธงฃฑฝภยภฝฟฟพภผผศอฦววภฤฮฬษหออัืิัำีูเ฿ุูายบทนภมภมฟฝนนบถดตฏฎฑฒฑฎฐฐฉงญญญฉงฐดทฟมยอฯหฮษภภนฅฅตชihง์๚๙๔๕๒๋๚ ๔๛๘๎๏๛๙๎ๅๅ่้๑    /P=(&DO'  ๚   ๙ ๘๒ํๅ฿ไ่๋๒๏๎๑๎๔๖๘๛๖๚๘๗่หณ‘nrŽžš”“‘‰€™ภฒŠ‡‚‰…z}y“’—คฒณซดฤฮืิะีิะาำะสมปบดญชคœฆนฟปลีฺแุำุีวผษฮฝดตฑฒฅ…Šฎธฏณผฝพปฐฐง˜™•}“‡ˆ†‰Œ…Š›จฎข’˜จญจฅฆฌนสอฤวหฬฯัฮหฮำฮรมปตท™nr“ฌผถฆ›‘šงถฟบณฎฏทปบถฉคชซขกณบฎจญฑตบมศสฦมผพวสศฬฯลภฯึหษัีึืีำำำึุ฿ฺืูฬผผทฒบพปพพธทนทฑฐตณชฎฑฎญฉงฏฎฃคฑฒฎฐณธพรศฬหฮำวผผฒฉฌฑ |byศ๘๚๘๖๗๛๓๐๗๗๘๓๕๗๗๙ํ่้็่๑     *Q>"!GX$   ๛  ๕๊็ๅแใ้๓๖๓๘๗๏ํ๒๙๛๚๔๕๙๓มฃkvŠ‘‘Œ‡yชีชvsmjrlkxzzŠ™™›คซญตผพฤสหัิอาฺุึำฬสฤปนดชจฅŸจผพนลื฿฿โไ฿ืำฮฬศลมลฬษฝดฏฌฃ‘คฑฑธยยภฟตชฆŸ–‚€†…†Š„‚‡‚‚—ฃซซ›“™ขชชขฌพนดบรฤยยยรฦยถฏณดฐดฎ‚j„ขดนซž—”—šขนลตจฑพบทบตฌงฎธฐกฎบดชจฑณฒฒฑถภพฑพฦฝภหอฦฦฬาัะิิึืฮะีาา฿ุืึฦฝพตญตธตปภปธณณฝพทบดชฌณถตฒฏฉฌดฏงฏฒณภยฟษฬสึำผนฟถฌฐซœ‘p]–ใ๘๘๘๗๚๚๚๚๔๕๖๓๙๗๎้โๅ๗     ๔/W; EY)        ๚็ๅๆ฿เ๋๔๙๗๘๘ๅ่๚๕ํ๘๘๕๒๘๘ๅะฒodrƒ……{a~ฦฯŠ_]^acn~„†”ž ฆซชซถพพฝมฬืึึ฿ะฮิฮภปฝผฒจฉง ซฝปถฦแเโ้็เืำาฮศฦรพพฟยภทฎฉฅ˜Žฐฒถภมภฤฝฌ žœƒŒ„Œ‚ˆƒxžฃฏซœ™žฎณฅฃทธฉงซฌฌจฅงคขชฎฏดถฒ™ts™ถผตชœ””‘•ฏฤฝญชทปดบพฒชซฌฎชฅฌฑฅฃฎฉฅชฌฉฑพฝทผยยลษฮฯศฮัรลีึฮิึัะีฺ฿ไืีรภฟถฐฒตถฐฐถฝพผฝปทดดดณฐฎฐณญฌฏฒฐฌถธณฟมปฦอัฺศตยฟฑทณฆ›‡enถ๑๛๗๘๚ ๚๚๑๒๛๛๐ๅใ๋๚      ๗,V= #BU,           ๔ใๆๆๆ๓๒๖๚๔แ๏๛๛๘๛๚๗๔รฅ€f_ekfXdŸหฌhBIaqŒ‹šจงฆฆฃชฒทฝมรฤอิิิฯสมมฬษมฤภฐฉจขฃฐบบธษ฿แโไีิีึิอลยลยผฟฟทตดฏค‘–ญณถลฤฟฦฟฎฅœ•Ž€Š€vˆ’‰†r~™Ÿงดญ–™ฅฌชฌฎจฅฉญฐฌฌฐตถณฏฐถซšŒz†ฒลถซฆ”Œ‘Žพฟฐฎฎณธณปมฐฆซฏฏฉฆฎฎงฏถฒฒฎฌฑณดฝพตธฝฟรษหษศฬฯัะฮะะัาัิููโๅืีฤพฝธฑงฅญดณดภฟทธธผฟบดฑฌฌฐฎฐททนนฑฑตฒณธฟฤหุูฤบฟธซญถฎš|dฮ๖๘๚๙๗๚๘๙๙๑๖๘๐ๆๅ์๖     &WB!EY(          ๏แใ์๔๒๙๚๛๏้๚๚๕๑๘๘๒ัณtid^W_}ฎปˆIDdvŽ“˜งฎจฅฉซฉฏธนนยศฦะีฬษัาีึวฟฤมฟปญจญฆขฉฏนฝทษโะฺๅโึอสฬสวยพฟผบปถฏฅ–˜ซฒทลวมลภฐง ˜Ž|yƒw‚ŽŽŽŠth™กงฎฉŸ™šคงชญงคซชงชซงฉญชณพฏž›™ภผงจง‘ˆ’ชพตฌฏชฌตถปฝฐฉจฏดซฆฏฐฌฒถบพทฐฒณณบทฒถฝฟฟวฬศวฯะิูฮอเฮัิีูึิไืฺึวพผทณณฑฉฆชฌฑปภพผผฟภธตบบทปภผบฝพณซฎดนผมฦฬืิฤฟปฏฎชฎฒœpf๊๚๔๚๘ ๙๓๑๘๔๋้๎๓    ๛-XA#DX,   ๛     ๔็ไ฿๊๕๗๙๙๒๎๔๛๗๏๓๖๕๒สšzogZTh“ตŸ]AWq‡œข ฃจชฌญฏฑญณนทฟศฦอัยสำึุฬสสฤมทฏฏจŸฃฎนภบทหูีแ฿ฺุุำะอสอศฤวยผฟพธฒฃ“ฐฒถลษรฤฝฏญงšƒ|€zp|ŠŒŽ„pgvœฅจฅกš–กฎฆ  šกกจฏฉคฆคคฉ †”ฒมดงฌค‰€Šณถญจฉฏณตธบถฐฉฉฎซฎญญณตฏฌฐฏฑปฝฏซธปบบบบฟวอหอาออึฺีะอะัะึเโเููิวภผณฐตณฒฒณทปฟยฤฦยฝมววรภฝบฝฟผถปรฝธถณทพลฬีิศฝทดณฏญญ˜u{บ๘๕๖๚๛๚๘๚๘๗๏๗๚๙๕๋๐๗     ๖1Y@&FV,     ๏่์็เํ๗๕๛๖์๒๕๐๒๔๚๐ปŠqf\Sg‘”j@T~›งฅกฅชฉฉฌฒนผบตณปวษฬิีัิืีาฯอฮลพวลตฉฆฃฃงญดบพฝสฺฺูใ้ๆ฿฿ำำัสฦมภลลยนฏฑดฆ–Ÿฒณถลสลรธญฐญ™…‚„zppwŒ’‰{uuxˆœฃŸ›™ŽœคฉซคŸคงŸ›  ›ขทฑ–ฎถถฌฅซšy}›ฌฑฉญฑฎฑถดตถฎฎตรษฟณฐจคฐดชฐบธนทซฎฝผตผปฒณปฤสหวสีูัำืััิัฺฺุำโฺาศพบถฎซดปฝปผฟพมศศยมรฤวศฦวฦภยรพฝวฦฟผธดตบวืาศรดฏนทญจ˜€‘อ๙๚๘๓๚ ๚๛๘๑๚๗๒๕๘๘       ๕1X@%IY,      ๎ๆ๋้่๏๒๓๚๒๎๙๕ํ๐๑๓ใต‹lYNZ{v^d“ซฉฆฉฏฑญฑททดททผพนผศฯัอา฿ุฯืีหะฮมรสภณงฃขกงซฎถผฟสีูไใุิูึฬวศวฤภฝมรฝณฑฒฌžŸญณธฤหสมนปธซ™‰ƒukoxy…—™…psut„˜ขคฅŸ‘”ฃ ›ฃข™›กŸŸฆจจฅข˜™คฎณดฎฎค{m’งฆงžžญฐชชฌณธฏฌฎซชฒบนณชฉฐนถฑณฏจซณบปนตถปฝมวฦฦหะีุูุีีำืฺเิศผบทฌฌบฝธทบฝยวสฬอฬหฬออหฦรฦฦฦฬฮลลสมฝฝถฒพะาษมธฏฏญชง™ฉ๛๛๛๘๕๗๚๒๐๙๕๕๓๓๛     )\B"$F^5       ํๅ้๐๒๑๒๗๖๑๑๒๖  ๑้๏๑๓๔฿ธŒeQYfkt กญฒฏญฐถผผนภลยยศอัาัิุุูึึำฮรวฮยปบฎŸจฎฆฆฌฒนผฦึ฿ึู฿ฺีืืัษวอหฤฦวรมฝถณฏชคฃฉฑผวหหรถนปซ™€pxtmjsv}†‹——€rrmn~•›Ÿ›˜“™จชชชฃคชงฃขž‹“ŸฐธตฏญœtfŠฃกงชขคชฌฌฉดตฃกจŸ˜ฃฐผฝถฏชฐฑฐตดฐญฑนถฎฐบผฝษหลอึาาูุืูุิะาืึฺแโึลปนดฐถถดทฝมมมยลหอัำะอะำิฯษศหหัษฝมฤฝฟนฎธฦสสรบตซซซ คนใ๚๙๖๖๚๖๕๑๗๙๘๔๑๘    #VD$Ac8 ๚๙์แ็๖๘๔๚๓๑๕๔๘ ํ็๏ํ๓๕ฺ๋ธ‰dar{†—คฌฐฐฑฒทพทตพพปมรยศอฯำฯฯิืเฺีีฯลฟฟฤยทฌฉฎดดณญฎทฟมหโแไืุูืาหอึะพภสยฝมปฎฉซขกฏทบฦะฬมธฑฐฏš„Š‘‹‰~ss{ƒ†Œ”ynicgw„••Ž‰•งซซฑฎฉฅกžกงขŸซถนฑงฌฅ{k•จœŸฅกš™ฅงจฌฒณฎจขŸฃž•คถตตฐชฎฑฌฏฑฒธฝทนฝฝฤฦพฟศฯำำีฺูุิาาอะฺๆๅฺูฦนทดฒฐฏฎฒทฟฯัสอฯะำาัาะฬะึึัหสำหฟศอลวฤฏญภฦรมผฑฌฎกฌณฦ์๘๗๚๛๕๓๔๙๓๒๗๙     )V> #?_:      ๖่แ๊๕๚๗๕๕๕๚๙๎ํ๑๒๗๔ู๋ฏƒot„™ญตฌงฐถณดผยฟตตภยมวฬะำุัศฮืฺูืำะฬรฟศพชฅฎณฏซฎฏฒผรษิ฿ููีาุืาาฮสษฤรมฝฤฟฌฉฌกกณธถษืษฟนฐตฌ…œ•—–‰yw€„…–Šzk\W`lwƒŒ‹Š•คขฃฒณฐฑฐฏฎชชทบตฒชฌฎŽk{ ฎฎฏชฆž‹•ขชŸœฃŸŸค›”ขฐฌญปภธญฅฅถผถญฎธผผมยยฬาหอุููืิำฬสอำโโึหผฐณธทตฒฐนยลอฮษฮีีำืืาะอสฬฮฬหฬวยฦฤนภหฝญดพพรปฏฑงšฌบปำ๒๚๚๛๗๕๛๕๔๓๙๖๏๐๕         +Z>  B[4     ๖๎่ๆ๊๕๚๘๛๓๓๕๎ํ๑๔๘๗๏๏ำœ…˜ฆฐญฌณนธฒณผฝบภยฟยฤฦฬอหะิฮาุืัอหรพยยดชฌฎจจซฌฐธปริแเีัิฺุัฮออษวฤฟถทฐจฆฃฃฑถนฯุวธตทณ•†žฉŸžš—˜€…€…’‡„lSU^ft‚ˆ‹“œกชณฒฐดนทฐฑธทฎญซฉฆqh}กญซตฐš•ŒƒŒ™ ฃ›ฃฆŸขฉฉฆงฆฃฃฐพภผบทนบซฉทถญนพบมลศัึีืุิัฯสษฯฮฯึืาฺไแฺฺึษบณถถณบบฒบรวะำสฮำะฮออฬฬะาฬฬำฮอฮลมลรฦสมถทบพพดณฐกตดฝแ๚๛๙๖๒๘๙๕๔๕๑๊์      ๛,Y?!A^+        ๘๏๊ๅไ๊๕๚๗๏ํ๐๒๚๘๋๐๓ม‹‡œคฌฑณตถปยวยปผยลฤมลฮฮฦสฮอหอืูุิฯศภฤศรตฏฒฏจชฎญฎถปภอืฺ฿็โำะฺิำัอฬฦมยผณฐฎฉงฃฅฎตยาะลฟบธจœฌธชขงฅœ˜™“‰…‚„Œ€ƒ}`UZYdw——ขฒฐฌฌชฎดถฎคฃฅงซจ“qnŒฎฐญดฎจฑฆŠ}†”šž™“˜ขฅฆฉฃžœขฌฒถดถธฒญทบบบมภฝฤษศหำูิำาิึัฬัู฿เุัุ฿ำยผนตดทปพปบรหฮฮฯฮหศฬฬอาะลฤหษศฮำฮสสสศฦหวบนลภธธถฆžฆฑพึ๔๘๘๑๔๛๖๐๓๓๒๒๊์๖  *_?! AZ*   ๚        ๖๎ๆไๆ้๕๘๙๖๘๒๏๏ํ๔๕้๑งŒ•ฅฎฎฏธธฒนศสอฯฦลหษฦฬลภฦฤษฺุอี฿โีึฮฟฟฦผญฐดซงฌฎฏฏฒผสัีไๆืฯแุีิฬฦฤรมธทฝทจกฃจฎถฤััลภผฒจญบณฅงจฆง™˜”…~ƒŒŽ‰‡|dTQOQbr‚•žž ฃซฏชฆฅฅฉฎซฅซดข†sfyกฏฏณณฒฑฑตจ‚…‡‹Ž’ššš ฅฆซค คจซญฉซดฐฐนตถภฤพพมรลวฬืฺาฯึูำัีััฺืะึัฤยฝตดณณฒฐตมลภฟวฬหหษลฟนผลววลปบศฬศฦลมฝพภฝนฝภฝทฌฃกจผัเ๓๖๚๒์๕๛๑๔๑๑๚๔๏๖       ๗/^> !<\1          ๚๒่็ํ๋ํ๙๚๓๙๙๙๗๒๐๋่๑๛๘๘์ป”˜ฃฉฐฎฏตธพวลพฟษหฦศฬวยศฯัอฮัฬฬเ฿ุำำหพพมทฐฑฐซฉฌฐณณถมะำืไ็ูฯึฺีืาวรมผนธฐคคชฉญบยฬีฮบบฝปผฟฒงญฒญชฅš’’Ž€|ˆŠ„Š„n`SHKVaušœŸงชฐดฐฐณดฎฅงทฏr`j™ฏฃฌทตตทธนธฏ ™˜”‹†‡‰’”–คซž’“œจฐฑฑณธปฝธตฟลฝพลลศาุิาฯฮะืืำฺแุูำืีศภพธตดฏดพพยหศฦฬหษศรผธณฒดตตบพพยษลพพฤลภภมฒฒภธฌซจฅณฦาๆ๚๕๓๑ํ๏๙๑๐๓๕๛๑๑๗       ๛๗-XB  !9\5      ๙๛๓๊แ็๏๑๗๚๐๐๚๙๙๘๖๐้โใ์๓๛ฺ›”ฉคงฒฏณภฟภหฮสษวฦฤยวอฬหฮฮฬัฮวฮุุืูืิิาสรพบถฎฎณฎงซฎฒทปฦัิเ้฿ิุุุุาสฦฟถตฐจงฏฎงซฐถฤฮฮฯอยผผรฟฌงณนถฏงข’‰}€ˆƒqcZIDNQ]y”ขฃ  ฃฉงขฆฅšขดดšf[ƒฎคžดบธผปฝพนตฎคฃ›“Œ‰†‚™ฃชชงš“˜ ฌดฑฑธปฝภยมผฝลวสืึฺโูะะะำิะำเึิึูีศฟภปถธบฟฟฟศสฤวฬฦยมฝฝธฐฒฒชฏนบบพมพปฝนถนนถถดถดฎซงญพษึ๑๙๓๔๚๙๘ ๚๐ํ๓๔๐๓๘            *SB!D`,        ๖ํไโไๅ๑๑๋๐๒๑๔๙๛๛๚๖์ใๆํ๑๘ป’งฑฃฆญญถนดธฦหมผมยฟฟพยฤลษอะะวมษะัิิำิยฤลบบตฆงฒซฅซฎฒปยษีโๅ฿ุูิสวฝณฐฏฉจฅฃซฑฑณฝสัสศฬวฤฤพธบภภทฑฎข˜š“†~vx„ŠgYOHMROYrŒŸ ™˜ฆจ กขฃฑตคvZg›ชœชตฑดฝฟฝพพปตญฉจฌฉคกคฅŸžงฉฆฏปตฆš˜žญฑซฑปนถนฟมพมฦะฺุิำำูึอฯีััฺแุูืูีฤภมผตตบบฝวอษวสสฤภมทซฎฑฉฌฒฐฒดณบปถนทณฒฏฌฐถทดฏฉงชธยษ฿๛๛๔๗๚๒๔๖๋๏๛๚๖๓๕๙        +RC# EY/       ๓่ๅ่็่๊๋์๏๕๖๘๖ํ็๋๒๙฿ขšณฏฅฌฏฏบฝธบปนปผปลลทผษยฝษะฯหยยสษวหัามตฝลรปบทฉฅฌฌงฌฐดพฤะเเ฿ไืุัีืฮฤบธนฏฌตณฌณฐซทฦอำะะำัษภปบผรฦนฐฐฅš˜™”ˆ{qmx‡kXQJHQSQWlŒขคกชฌซฎฎญฒจ•€e_~›ŸงธปตดนรลภยยทจŸคณตญฐฐฌฌชซญฏฎฒทธฎข ชณฐฐบฝบฝภปฝมหุูึฺฺููฯสำาอึุาิึูึลยฟบมมทพฦฦวหหฬสษฦพทฉ˜œฅฃฅฉฌดตญฑผณฏนผธนตฒถฒญฌชฒมฦิ๐๘๙๙๐๏๚๔์๔๚๓๕๘๖       'RF!!AW5 ๏          ๚๋แ็๓๓๚๙๛๛๛๔๘๚๗๘๙๒่์๎ํม˜ชณฅฆฒธธนทฑฐบมพปมมฝมฦรยฤฤษำะฦฤอะหอลผรอฤลฤดฑตฒญซฆฆฌฑบฟวฺไ฿ใฺุึัะหลบฑฐฑฑฑฎญฏฑปศหลษฮฬสษววรฟผมภธฒฒฏฆš—™‘~qomlh\QMMLKSSRd€œซชฃฅคฆฆš†o_i†œชธมยภรรผมฦมพผฎฃฉธถฆ ชฏฏฌฌดณญฌตนบฏฃฆฌฎดถนฟปบภยราืืูีาาฮะิฯาืะึืวฟพภภผมษฤภวฯฬษหอษพทตช•–กกงดดฌฎฏฐณฑฐทตฎฎฑฌงซบฤหเ๓๚๛๛๖๋๑๛๐ํ๙๘๗๕๔๛        (XA@]1              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๛๔๖๕ํ๎๑๔๑ยฉจฆฉฐถผธทฟรฟมษฮะำหยวหษหะำำฯยยลยฤสฤรศลปธตข˜ฉฑญฑฒณฝภลอฯฯฺฺุึฮัืิษลสฯึุีฺูาฬษลศฤบดณตถตปลรฟรวฦมฝบฐฅšŒun‹ซธฑฑชวๆ๛๒ฮตฉงฑตฑดภฤฤฦวอฯะิิิืืูึษภภปถฐฉฃงถฝทฑทผบธบฟฤลฦอัะาืๅโแโฺาศำุิ฿เูืีึิัอีุัฯหมภฦลภพผธบปนตดดฒฑฒทฝธฐญฎณฐฆซงŠ‡ฅฝๅ๗๗๘๙๑๓๖๘๖์์๕๚๙         4]<=]2            ๕ๆเ฿ๅ๏๗๙๎๎๘๛๙ ๘๗๛๓๒๓๑๛าฌฉฌจงฏธธนผผภสะาอพนพบถลิีัอษวษฤภวสวฬะฤธผฝช•™คชณณฑนฝฟรฤฦุึเโึฮำาษะีาฯีฺฺฺีอหวฦฤถฉฌตบลศศวภฟมษลทฏง˜‘‡z•ฏทฝฟุ๗ ๊ปฒจฃฒทฒผฦฦรยลฬิุุุโาัฮฦฤยปปนบภพตธมฤวฦรยรยลศลศาิี฿ๅเเฺิะืแ฿ืึูเุืำาะฬฯิะฬฮสรลฟนพผฒฒธผทตดฑฏฒธตฏฑฏฎฎงฆช›Œ˜Ÿฏ๒๙  ๑๏๔๕๖๕๚๛๓๒๖๖๘๙ ๛          0^C$?T5๙          ๛๐โ฿๋๔๚๛๐๑๚๙๙๙ ๚๘๘๒๓๓ ํถกงฎญชฐตบมฟปมฤสีอฝธบอุึุีศฮืฬมวอัิฬวยนบฑ••คจซฏญฐถธปฝปฬูาำิะูุุ฿เึึูิาาะึืฮฮอวมฒฎธฝฟษาษวฮฯสฬฤทฑž•›™•˜งปอใ๘  ีดฒฃ ฒดตภสษอัิโโ฿ึำีุีศฤฦฟพยรรฦยภรภฟฤฦฤฤอฬภวหาเุาืุาะืฺูููีื฿ำฯฮสสศษฯฮลฝวฯยทผภปณณบธดปฝฒฑดฐฑฑฎฑดฌฆ š›šขส์๓ ๖๗์๒๚๒ํ๔๕๑๘๛๖๙๚๐๎๗    ๙   3^G*CM2 ๘           ๗ฺู๋ๆ๏๔๛๚๗๘๖๎๓๔๗๗ํ๏๖๓ฺขขซซฎฐณถผภฟฟฦฦลฯหหุุัีิสะำัืาอำำำุอภฟบถจ’Š’ ฎทฐฎฒปยยพฤะึืัฯุูิาฯะีุืะลยฮัฯืเูำิัสรผผมฤวหอฬำุิะฬฤฟช“Ÿจ–”กฅกกฑอ็๙วฏซ กฎธฝพฬีัีุำึฺฺ฿ไฺุาะฬษษฤยรลศวฤภฟมรฤสฮวภยระุิีูีำึฺึืึฺุุเ฿ุฯหอหฦฤฬืีฬหสฤฟปบฝมรฟบฝนดถตถบนทตฒทฑฅ Ÿœšขพใ๓๗๙๋๎๛ ๛๚๓๚๒๓๛๖๔๙๒๋๖        ;\A$'DN*          ๓แึเ์๑๚๗๐์๘๓ํ๖๗๒ ฝฌฉชฒฒทบธผฟรฮสษู฿แเ฿ุำสอำำสผปพผซžกš–จฎฌฐฏฒพยภรฦฮึฺุึำำีุุาสวฦษฤรฮอฬเึีึฮสวฟรวสัิาะอฬสฦวผ › Œ€Ÿคคขซว๋ ๅผดจฉตฝฤยมฮาัืเแ฿ูึึูุะฮศลฦลหะฯะฮฬฯิาฮรยหสรสืูุืฺฺูุุุึุ฿ืเเีหศศรฟรวษหหวฦรภมรฤรภบตผปดดถฒฑณฐฎฌฌฌฃŸฆบื์๕๛๛๗  ๙๙๚๒ํ๗๙๕๘๕๑๛        ๛  7U@& !AT(        ๗่ๆ๋๒๚๔๐๏๓๖๛๛๙๕๒๗๕๙ ๎ฎฃฎชฏฒตฝผบมภฤอศฤฯู฿ใโึืูิู฿ุะอหดคฑนฌฉฌชฉฌฌฏณณธพมมษะออาำฬศษวรรวรฤศลฦอฬษะฺืาะอษฬะฮฮฯะะฮฯะหหหฒ›™“‘ขฉฉฌŸžชฟ๊ะตณขกฑทฝยฟรฬะฯฯำืเูฯัาอหวฮิฮฬฮฯะฯฦฦหรพศษรฬึีืุิูุิิิำาื฿็โฺฺะษวหสมรสศศษรปพฦษศยฝปฝฝผปบฏฆญถดฏฐณฒช Ÿฃงณสใ๕๛๓์๋๖๕๋๑         ๛  3RA%!#>W%              ๎ใใ็๑๖๔๕๓๖๗๓๚๛๘๗๙๔ฉฆซงฌฐตนบฟฤฤศฮัืีำาัาำึูืฺุีูโึืัหลฝลษธญณฐณนนฐฏฑฐนมฟรฮีิสฟภรฟปพยยฟยฟธมะอฦอืูาษษษวอิูุัะึัษหยข•™•šฅฌนผžšงฑ ๒ปญฐงฆฐธภรฤศสาัฬะึุุาำฺฺฺึััิููัฬหหฯาศปผภมวฮิฺุูึุุโูีฺฺูัาีฯศมปบพลลภฝฝมรยยปณดบฝปธผผฏชฏฎฏดณถธฐฅก คฏฤ๓๘๖๚๛๓้ํ๘๛๗๘๕ํ๎๚        .ZC"!$>Q%         ๚็โ็่่ํ ๚๒๖๒๐๘๗๐๛๖๗๚๔๚ฬณตฎจญฑตธผฤลรฯาัืุัอษลษีเูุืุำึัววรบบปผมรมฝภฟนดฑดบพฟยฬะมฟลฟบฝปตนมผญฏรฮฦฦาืฯุ฿ัสะัีฺฺึำสวษธ›”˜›ฅณผมฟฉคฆภ๘ัฏดถชชฑปลฤฦยพวำืูุิุแืฯึุืฺึีีึุาอฮััอศลพธนฟศฯฮื฿ีฯเึฺๆะิุิฺุิฬยผภฟททนทนนปรฝตบปธธฏฌทบฑฑถตญฉฑนธณฏงŸŸฎพำ๊๒๑๘ ๙๋์๗๚๚๛๙๗๓๎๑                     ,YF&@P&๗           ๘๑ๅเๅ้์๐๙๖๖๒๓๚๘๖๛๘๕๗๗๒๛็ภปฝณญฏดธปมรฤศสำึสยพนปฝพฮเโ฿เำำึอยรภบปปมหลฝภมฝยผฏฑนบบปฟฝนฝบทบบธตฒจฃฅฑยศษสอูเืีึััุูฬหหยฌ•—ฆจฎฟลพบฐฆ ฐใํพณผถญฏตยศฤฤฦฦรลฦาืึึีฺฺัิูุฯิืฮะะหสฬวปตถนภฬอฮาฺูแะฺใเใเึึฺีวผตฐทนณดตตนผบณฏธยฝณฒนปฒญทฦยตณธธดฒฏฆŸคดศแ๏ํ๒ ๛๓๏๘๙๘๙๒๎๎์๎๘              .VD# #>Q(๙           ๛ ๓๊เใๅโ๊๛๛๗๔๓๒๗๚ ๔๚๚๖๛๔๋฿ฟฝผดชฉฑธบยหวฯาวยภผภฟบพรฯืุึฮฤรยภวษยยววฮฯฟปยทจฑผนตธผฝฝปบณฆคฆŸ ฐฉงฟลฤศหืฺฤธยรพฦัาะีูีฮษลฝค—ฆฉคทรพยภณฐง˜ขอใาลรยธณดผรรฤศศหฮะอฯูืีีำๅเิิิฮื฿ิฬฮหฯัมภหมถฝฟภวฮิุืูิำ฿ะุฯูๆฺำูเูึิมตฒงฃฐบธถณดปตฐดดถฝนณนปทณฑณตดณตฒดถฎขžฆนู๎้๊๚๐๓๔๕๛๛๕๕๚๛๛  ๘           ๘._A !<Q-              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"! <V0          ๚๐๊฿ไๅ์๛๛๔๕๓๗๚๙๘๊ิษฤนฌฉฒถทฟภถถทฎซฎฎญถพลุีูเึาิำำฮษืโ฿ฺโัศรภธฐญจงชญฉฌฑฎธลภบถญฏตฎฎผยฤอษฤฮีาาษยลหศศะอฤลฤณฌฐฎฌทฤสษวฟถภฤ˜ˆฎบฆญยลมผฤำำอฯำิฯสฮำฬหำีีฺฺุูืฺูฮฮึีาิฮลมปผยปทมลพภฯฺุืึืีึููเไูีแำุุฬฟตฑณฎก‘”ฅจงญณฐญฏฒดทตฏฒฒณปนทปปณฑตง“ฐำํ๐๐๛  ๚๗๕๖๔๗๕๗๖๎๓          5Y; $!!;U6                  ๔๐ๆๆ็ๆ๗๘๚๘๖๗๛๘๖๙๖๖๚๛๚่ะลผฏฉฌฏฐปทฒดฒซซญญฐฑธสุุืูีุืิูึาึฺิฮวลภทฐงกฅฉจชฐปฟผฟรนฌฐตฏฏบฟฤษษัืฯีูึะิีฯฬีาษมตญฎซฌฝสหศลภบฟบŠ}ณบ ฌภนฝฦอำัฮิึิำึำะิึอฯิฮฮาฯาุิัำัฯฯฬยฟภยฟผบนบรวสหฯูีุิฯฺีึุิุึััุึีฺิฬฦพนณฎฌก“‘–˜žงฉจฌฎฎฏฒดณฏฒตฐฑถดฎซฆ“Šจษ฿๒๔๓๚๗๎   ๕๕๕๗๙์๊๙          3W> "" =W7 ๙            ๗็แ็ใํ๛๛๓์๑๗๔๗  ๔๓๛๘๛ๆืสนซจซญฐฎฏฏฌชงฅซฐฒพฯีิุแเืึฺููืัิูิาำาะลมยมภฝดณบฟรผทฤหฤนญฐธฏจตภรหฯำเีึึึึีิึุัอฬวผฒจญวฯววศมถทต…yดบšฉลฝฝวษฯำิำัำิาาัฮหฮีำะืึัึึึำออวภพฟพนณตนทผฦหัึิีีึฺฺุูุิีฺุใ็ึีึีฯหภฝยฟตฏจ•’žขกฃซฎฌฏฑฑฐฏฎฌฎฏจฅก‘—บำๅ๘๙๕๗  ๗๙๛๑๔๙๏๋๕              ๛2`=$  BW0๛            ๓฿โโ่๔๚๒๎๑๓๔๛  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๖้ใใ้่๔๕๖๚๙๘๙๖๏ํ๐๔๘๘๖๛็ฝชฐฎฉณฝปนถฐฏถปดฑภมถผภธผภณฎฐซชฏนผพฬึะะุิฯำูืึููิฯิิฬฦฮาำิฯสสอหสฮสฦฤฤฦษษหหสศลธ™‡”ซนฝฝฝตถภ Žฐซ…Ÿนฐธมผฝถฎฑนผบนยฬหศศษวสสษฬษศลภมฬาะิึฬยธฎฎถระำัฯฬัืิาืำฮฺแึีูืะีาหลพปทฑฎตฒดยรปมษฯฮาาฦลษลฤวรทฎงซทฤเ๚๕๕  ๙๗๓๑๙๕๙๚๔๔๒์ํ๕๛                ,VB"!#;M5          ๙๚ ๔๋เๆ่้๛๘๛๛๘๚๙๔๒๔๖๚๚๔๚฿ญฅณซงตผฝนนปนฝมทถพนฐฐณบปดซฆชชฉถภยหฯฬะฮหฯหวอสพฬ฿ุะัหรวฯาำาฯฯัำาฮวรศสฦฦหสสษศวบฃŠ‚œดทนธฎพพœคน•ƒชถณนทปทฐฑดทบปมลฟยฬฯฬยฦัฬฦศลฤฦฬาะฬฬสลธซซตฟษาึูููีำาะฺ฿ุ฿เัีฺูะวมปธททบทปบฏฒมฦมรฦหำิฮสภตปฦรตซฎทฝฮ๐๖๕๙  ๖๘๓๓๙๘๔๏๐๑๔                     /QD%;T9๔     ๚     ๚๓้็ๅ๋๚๙๘๛๘๓๓๕๘๛๘๘๗๚ษซถจชฒฒถธทณฎณผบนฝบธบผปฑ ขฌฉจฐบฦฬหหฯสศษษวรฤวฤสึำาะหรฤฬำิีำฬสฬิึหรษฮฬษษฬวลวปช•{ƒฅถธตฑฝฌ—ฒตˆณฒดฝฑซฎฑดดปรฤฟพฟมฟลฬฦภลศลฦลยรสฯสวหหมฒญบวฬาฺฺำัำะฯโุีุแไโีาิฯศษฤฟภนทบณฏฑฎซถมรฤลลสฮอฮสภปบดฐฒฒทษใ๘๚๗๘๙ ๔๓๓๔๘๚๚๘๐๔๒๎๙                  ๚-RD&@X2๗          ๖๐ไใๆ๕๖๘๗๔๛๛๔๙๙๕๒๙  ๚๔๑๓ 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์ใุโํ๒๖๕๕๓๑๙๛๚๕๙๗๎ืฒฃฎตฌ›‘šกŸŸฃœŸŸ’xqŒงฐถฟฦหำัษัืฮวรนพถ|_‚™Ÿซฑดบฟยผนพผทภวพดตฑจจฒฃ’x=Vัโ•Ÿฉฑฒฑบตฆขฃ›Œ{iby›ฏผมปธธผฝฝยลสฯหลษสสอหอาฯอึึู฿ืัฯศอืีำุำษัืสษสสฬหสฬษรลมปพฟภมฝปถฏฎถฒฑฅซํ๚๗๔๘๗๓๛๚๒๕๙๛๚๗๙๛๙๖๐๎ๆ้                   ๚1P;("'BR*                       ๛๑โี้๋๏๖๘๚๚๖๘๕๕๛๛๖๓๖  ๖๘๕๎ูถขฅตนค‘“–”˜š›š—~bsšชฏฝลฦฮำััำำฯสยธฝน‚Qi”ฃฉฎฒตปวษฝทบบพลฦภดฉ›ƒkTGjม๓ฯ“‚ตตฏถฝฟบญงŒ…tZk–ฎผปฐบภปภยผพศสหอหษอฮีูำัฺุืฺัาฮศอหฦสะืืำแิฯัหฬสยฤยฟมมพฤฤพฤรธททฐดดฒพต›พ๙๖๔๛ ๖๑๓๚๛๗๚๖๎๐๋ๅ๑                 +RB%!$=T,                 ๚๐ีแ๊๋๐๒๓๖๘๘ ๚๛๙๙๛๖๎ผขžฎตฆ’Œ™™ŽŒ‡ma|šฌภฤมวฮฯัาฯำาศยปธทSN}žงญทถฐธฦษฤผถฝลฯำลพฐ›‘“ทฺ่๎ร†‡จตดดนฝปฝปฐข•ˆweiŒชบมปทพลภถธฟหฬษำึฬฮืืาัอัีฺึัฯษฦลยอฺึึีฯฺุึำฮะสษอยปมฟนมฤภฝฟยฝธณฎฝบฃร๛๗๗๔๘๛๔๖ ๛๗๒๖๛๗๙๔์ํ๊ใ้๛                    ๙.Q>#  #>R-                  ๏ฺ฿ใ้์๏๛๛ํ๘๘๙   ๙๖๘๚๙๐ฺฝฅžคฉŸŠ}†‚}‚s]c…ชทมลหะิืัฬีีวภพนต b:\กคชถฝปฟฦลสสษสาุฮอัำู่๖๑ไ๑๘ญr’ฐฑทผผพฝผผฑฅžyjh~กทฟภภรทฉดยรษััิสยิูสฬูืืูืึฮวลยรฦศำิฯฺุุืิูิฮฮศฤฦรฤษภผพผปทตบธฎจฐฟนซฮ๙๛๙๕๘ ๛๚๗๘๖๔๓๔๖๗๖๏๏๏้์                         ๗1T;""DW)                  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                   3R=$#DV0                      ๚ํโึึไ๏๎๒๚๗๗๗๗๗๖ ๛๘๙๗๖๐๛๛ๆฤฎฉจญฑธฝปผยภธบมยฤฤมฟฌซึๆิี้๕๚๚๖์โ์๎๐ํไแเษตนถญฐถปฝธปมฝมษวรผบฎŠƒฆนปฦฬัฺีฮาศถบฟนฝลฤลฬอหหัีะสลฟปตญซฆ‡mu…ฐฐญฑฎ˜“ย๙๛๚๙๚๙๚๛๛๗๘๗๓๏๎๏ํ๏                      6T:"#>X2                 ๙ ๚       ๙๏ฺ่ีแ๊๋๕๘๛๗๖๘๘ ๔๗๓๑๗๛๚็หตจฃจฎดนธถฝมผปพนณธบซดืๅโเ์๔๕๖๐ํ๖๓้่์๒๖๒๎๊็แวฏฒดฉฆฎทปผปพฟภฟผภท‹t•ดปฤฬอาูุาอฤนดฐฐมศภรสสััษฯุีฯวฝนฑซชmt‚‡’—™คšˆกเ๚๓๖ ๛๘๖๘๛๙๒๓๚๘๔๓์๊๐๕๚             ๛            6Y<""<V3        ๛                  ๔ฺ้ีแ็๕๔๑๘  ๖๔๛๛๘ ็ะปฎฎฐฏตผปพพทตธผปจžฦ๏๎ไๅๅ่่๊๐๒๎่ํ๔้แ๎๎ๅ๊์ๆๅัณณปฐฅงฒฝลมฝมฟปบ™p„ญถผษษสีูึะวผณงคฏฝรษอิุาฯอฦฤสสฤภธฑญฎ˜op…~€”s‚พ๘ ๚๙๏๚๛๗ ๘๗๛๙๗๛๙๕๗๏ไ์๛                       6Z=(!:Y1๙                         ๛๎ึฺ฿๊๕๘๓๋๒๗๙๚๚๛๘  ๎ืพทนณฑฒฏฒทถถณขกว๋๎็๊๕๛๚๕๑๐๊็๏๖้฿฿ๅ๑๎๊๕๒็่ึถฒพถจฉฑถฎณพธฒจrœถตมฬหฯิึึะฤปตข–ฉผผยสสศษฯาาฯฬวรภบถณฏ˜uak‡ˆdV”โ ๕๐๘ํ๎๕๓๊์๛๚๔๓๗๒ๅ่๚                         6Y;%$ =X/๖                       ๒แฺโ๋๑๓๘๚๙๚๛๛๛ ๕๗๙๑๚๗๙๕สภถฒฑญฌฎฌชผโ๗๔๔๖๖๖๐๋่โโ็็ๆโีูแๆ๐์ๆ๑๖๋ไฮตฏณฎงชฒถนฑฌฎ‘l…ฐดตลสฬออืฬภพฑš“ขฒนภวอีึำาึฮวศรรฟฑธม˜mrzbKsะ๚  ๖๑๖๖๒๖๚๛๚๗๕๑๋ๅ๊๖                               4V;$"AT+                        ๐฿ีื฿ๅๆ๏๛๘๗๙๘๗๙๔๛ ๚ ๚๔๓๛๛ ๘๏ๅุูแํ๙๕๒ํ่ๆใๅๅใเ้๋โเเโๆแ฿็๗๙่ะปฎจข™ ณณฒตžpr ณญนวศฦหาืิฬฟปต™‡šฏณบยหฯวศฬะสฬฦธฐธบถฌˆjbXjบ   ๙๓๗๚๛  ๖๒๒๑๒๕๛๙๙๎็้๐๗      ๚      ๛                5X=" #?X*                         ๛๛  ๙๊ึไๅ๊๓๖๖๙๔๔๖๒๖๒๕๚๛๗๔     ๖๋ํ๑๋้ๅ฿๋๋เ฿๏๊โ็ๅแ๊์ใ฿๊๑๘๖้ึผงคก‘—™‹{t‹ฎตธฦฬะำืฺฯษพธนŸ~Œชฑดพสสศฬฬสฟปตตปบฒฏ›`Eqถ!   ๚๚๗๛  ๑๏๕๖๗๙๙๘๖๗๗๑้ๆ่๎๗                         ๛   0VD$!BW(                                   ๘ๆุุเๅ์๒๔๘๔๔๕๗๚  ๛๓๎๖๚๖๕๏ํ๔๓๋่ๅไ้้แใ่๏๎แ฿์์เไใ่๔๊เๆ๊๓๘๒ใลค——‰sj_UpŸถถธผพมศอัีาวนฒนฆy}ฅฏฑนนภภพพฦศลพนถดทฃjdบ ๛  ๒๐๗๔๔๛๚๕๕๚๗๏๊่ๆ๎                          +XF" #>P-                        ๎แแ๊๏๎๒๚๛๓๔๕๖๛๚๗๖๚๘๙๔๏๐๑ํ้้่็โแๅ๋็็๑๎์์ๆแ่๒๒๊๋๔๒๋๊๎ๆ้๚๓ุซŒŒ†t\Kn ดบฟธนวะฯอฬฬฬพญณฎ{kœฐฏททตถดณฟลทฎตพดr—๐   ๙๑๘ ๙๙ ๏๎๓๐๑๙๗๑๔๘๑้้็ๅ๔    ๛               .YB!##;P3       ๛              ๖๋เุๆ์๎๏๕๔๒๙๛๚๛  ๛๗๚๛๖๘๒ํ๎๎์่ๅ็็้๏ํ่๏๎ไใ็ๅ่๎๋ไๅ้ใเ๊๐๖๕่๒ๆแ๎๗๖๔๗๒ษŸฃญ‚L^–ฑถปฟฤมฟมลรฟมนฉฐญ~cŠฏดนทฒฑดธบปภรฒz—๗๏๎๚๛๛  ๒๓๛๗๔๛๓๔๗๑๊็แแ๔                      ๛     0Y@ "#!>T3   ๛            ๙     ๔แุแ๊๑๎๐๛๗๘๛๚๙๙๑๋๐๒๓๘๗๒๏์์๓๗๘๓์๑๘๎ๆ่์๋์็ใ้ํ็โๅ้็฿้๔ๆ่๘๖๕็พนญjL{ขฐผปบพพปบผฝฝฝผนซ‡j|ขฏฎฒฒตพภภต’rvกแ  ๚๚    ๙๐๕๖๎๔๗๓๔๎ๅเแ๋                           1_=%!AS0                         ๖แุแ๏๒๒๔๖๘๙๘๛๙๛๕๙๚๔๕๘๘๚๗์๑๘๐ํ๐้๊๖๗๋็่์๐๒๓๓๎ํ๓๖๎แ๊๙๕ไๅ๓๛๕๘๕ใีฒwn“งงซฎณปฟพธฒทตญชc]wจปสษฝณฎœ€…ป๗ ๘๘   ๗๔๓๚๔๔๖๒๋โเ่๘                     3\<!# !>T/ ๚                       ๕ๆ฿ูำูๅํ๐๒๔๘๙๕๓๚๚๙๛๚๚๗๓๑๔๗๙๕้ใ๊๓๓๑๓๔๋ใๅ๔๖๏๒๛๖๎๐๔๏ๅํ๕็่๐๗๙๒๔ึ›‡–ขฌฐฑฒฑฒทฒซนฅz‘•qk~Ž‘’šฅฒึ    ๗๙๙๙๛   ๛๗๔๛๚๘๕ํไไ๒                            3Z;"#@Y.๛          ๛                 ๔๊เืุโ็็๊๐๒๕๖๒๗๚๛๕๕๚ ๙๖๗๔๏๑๕๑๒๗๒๑๖๏๊ๅโ้๛๚๗๒์๊๑๓๎๒๖๋๐๖๎๋ํ๖๛ ๛ัตญคกขคญดถณฏฑžeqฯชob`h„ขฤๅ๓ ๗๛ ๙๗๛๚๚๘๒๔๛๙๖๛๙๐็ๅ๗                                      .X=#!%AP.                                 ๓๊เใ๋้๋๐๏๏๖๙๛๗๚๚   ๚๛๙๔๎์๒๗๚๗๒ํ๎๋๊๕๒๐๕๐๑๔๔ํเุ฿๋๑๐่ๆ๓ ๆฯปฉ–ŠŠ†zpdR[‡›šฎสเ์๗๛๛๕๖๙  ๚๚๖๙๗๖๘๚๙๖๗๗๑ุ่เํ๛๛         ๛               0T?&'9O5                      ๗์ูไ์๐๒๓๖๙๛๕๔๓๓     ๚๙๙๕๘๚๓๐๑๕๔๎๔๗๋์๚๓์๕๓๎ฺ๊ๆ๐๒๏๓๘ ๔้ใีภดณฒฑพฺ๋๏ ๛๗๚    ๛๗๓๘๖๓๙๗๔๐๋เ็๖                        ,RD$""8R7๖                   ๘ฺ๊ีเ์๐๏๑๕๖๕๛๖๕๛๗๛๛๛๚๛๖๓๓๛๖๎๕๚ํๅ๊๐๓๖๓๐๏็เเใ๋๕๖๚     ๖๗๗๕๗๙๖๘๏์์ๆ฿๑                            -WA <T4 ๗                  ๛    ๛๔฿าาใๆ๋๒๕๒์๗๕ํ๘๚๘๙๛๚๕      ๙๚๚๒๏๖๚๐๋ํ๒๔์ไใเใ์ๆๅํ๕  ๙๗๒๗    ๚๑๓๖๑๑๛๗๛๛๒๐๎เืๅ๛              ๚      8X8!!AU/๔                       ๛       ๐ๆ฿฿ๆ์๐๒๓๙๗๗๛๛๛๘๛๛๙๑๎๏๓๕๕๚๙๔๋แใ่๎๗๚๚ ๙๘๙๙๘๛   ๗๚๖๑๖๛๚๚๘๛๗์้ๅ๑                       8X8 !?V.                           ๛            ๚๑่แ฿โ้๎๐๑๕๙๙๖๘๚๙๕๓๖๙๙  ๕๘๖๓๓๓๕๛๛๛๕๑๎๐๘๛๘๖๗๛๘๕๖๛๙   ๛๕๘๚๙๖๖๙๙๑๊ๆโ฿่๚                          ๛    ๚4Z< !!!=Y0                                 ๖้฿โ๊์ํ๔๚๗๘๚๙๛๕๖๙๛ ๛     ๛  ๛๒๛๔๕๙๚๑๒๕๕๓๑๚๓๗๙  ๛๛  ๙๓๕๗๛๖์่๊ๆแ๊๘    ๛ ๛                       3W="!"<T4๛                            ๙์โฺื฿เ้๒๒๔๗๘๘๔๒๚๘๚๖๛  ๚  ๙๙    ๔๙ ๛๙๚๘๚๛๙๗๑๓๚์ๅ่๊่๋๚                                4W>!$;R7๘                         ๒็โ฿เเเ่๐๒๔๔๓๔๘๚๗๘๕๓๛  ๘     ๘๛  ๘๎๎๖๗๔๙๚๐็ไๅโไ๐                          /YA=Z.                ๛     ๛        ๚๒๊ไเ฿ใ็ๆ็ํ๐๐๕๗๕๗๛๗๕๚๙๖๛๗๒๚๙๘ ๙ ๓๛๛๛ ๙  ๛ ๚๙๘๙๛๚๙๘๙๛๙ํๅโแเโ๎                        ๛*]AA_*๘                                        ๔๋ๅๅ๊๊๊้้๋ํ๒๘๛๙๘๙๚๗๗๗๖๛๚๘   ๚ ๙๚๚๙๗๘๗๗๕๘๘๛๚๒๋โูเๆ๕         ๛  ๛                         *\?"=Y0             ๖                   ๘๒์฿ุ฿แ็ํ๏๋็๊์๎๕๙๙๛๚๗๔๒๚๒๔๗๑๖๕๚๘๚๚๘๘๚๚๙๛๔๗๚๚๛๛ ๔๛๚๘๙๘๚๘๖๗๗๗๘๖๕๛๘๖๔๐้ๅแแ๊๕                              *XA  <W3   ๚ ๚                       ๖๚๛ ๚้ๅใูๅ้ใไ๋๊๊๐๐๑๙๚๘๕๕๗๓๗๗๘๙๗๙๘๙๘๘๘๚๙๔๕๛๚๛ ๛๛๛  ๛๒๐๗๚๔๎๏๑๋ใเเๅ๔            ๛          ๛          ๙     +Y?!@X1๖                           ๚๓ๅเแ์์์๔๕์์๗๚๓๑๔๔๘๙๒๒๕๔๖๗๕๛๒๒๘๚๛๛๛๘๛๛๚๛๛๙๘๙๛๓๛๚๗๖๚๖๗๗๛๑๒๏ๆๅ็าุๅ๑  ๗                               .Y> AW/          ๗     ๚        ๕์่โฺุๅใ฿์๕๏๋๒๕๒๑๑๒๓๖๗๙๚๘๗๙๛๙๖๔๛๚๛๗๗๘๔๖๔๒๛๓๗๛๚๙๚ ๘๖๗๔๕ํ๐๗๓้๋๎่ไโีัๅ๛         ๙                      +TC& >V.         ๛ ๛                       ๖แๅโไ๋็ไ๊๐๓๖๕๒๑๏ํ๏๓๒๎๏๖๙๓๕๛๙๔๖๘๘๘๓๗๙๕๗๚๚๙๘๚๙๓๗๛๛๙๙๘๗๖๘๋้๗๚๕๔๑๕๛๚๚๘๗๔๑๒๊แๆุ่฿ไ๐                           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1) * -1000 z = ptd.gen_image1() return [make.image(z), make.curve(x, y, color="w"), make.legend("TR")] def test_auto_curve_image(): """Test auto curve image""" with qt_app_context(exec_loop=True): items = make_curve_image_legend() _win = ptv.show_items(items, wintitle="Testing 'auto' plot type") if __name__ == "__main__": test_auto_curve_image() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_autoscale_shapes.py000066400000000000000000000046171525747167300270010ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """This example shows autoscaling of plot with various shapes.""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.plot import PlotDialog from plotpy.tools import ( AnnotatedCircleTool, AnnotatedEllipseTool, AnnotatedObliqueRectangleTool, AnnotatedPointTool, AnnotatedRectangleTool, AnnotatedSegmentTool, CircleTool, EllipseTool, LabelTool, MultiLineTool, ObliqueRectangleTool, PlaceAxesTool, PolygonTool, RectangleTool, SegmentTool, ) def create_window(): win = PlotDialog(edit=False, toolbar=True, title="Autoscaling of shapes") for toolklass in ( LabelTool, SegmentTool, RectangleTool, ObliqueRectangleTool, CircleTool, EllipseTool, MultiLineTool, PolygonTool, PlaceAxesTool, AnnotatedRectangleTool, AnnotatedObliqueRectangleTool, AnnotatedCircleTool, AnnotatedEllipseTool, AnnotatedSegmentTool, AnnotatedPointTool, ): win.manager.add_tool(toolklass) return win def test_autoscale_shapes(): with qt_app_context(exec_loop=True): win = create_window() plot = win.manager.get_plot() plot.set_aspect_ratio(lock=True) plot.set_antialiasing(False) win.manager.get_itemlist_panel().show() incl = "Included in autoscale" noti = "Excluded from autoscale" # Add a polygon x = np.arange(-3.0, 3.0, 0.2) crv = make.polygon(x, np.sin(x), False, "Polygon") plot.add_item(crv) # Add a circle circle = make.annotated_circle(-1, 2, 0, 0, incl, show_computations=False) plot.add_item(circle) # Add an annotated rectangle rect = make.annotated_rectangle(2.5, 1, 4, 1.2, incl, show_computations=False) plot.add_item(rect) plot.add_autoscale_excludes([rect]) plot.remove_autoscale_excludes([rect]) # Just to test the method # Add an annotated rectangle excluded rect = make.annotated_rectangle(1.0, 2.0, 5, 10, noti, show_computations=False) plot.add_item(rect) plot.add_autoscale_excludes([rect]) win.show() if __name__ == "__main__": test_autoscale_shapes() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_builder.py000066400000000000000000000031121525747167300250710ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Builder tests""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import data as ptd from plotpy.tests import vistools as ptv def test_builder(): """Testing plot builder""" data = ptd.gen_image1() show = ptv.show_items with qt_app_context(exec_loop=True): _win0 = show([make.image(data, colormap="pink")], wintitle="Pink colormap test") _win1 = show([make.image(data)], wintitle="Default LUT range") img1 = make.image(data) img1.set_lut_range([0, 1]) _win2 = show([img1], wintitle="0->1 LUT range through item") img2 = make.image(data, lut_range=[0, 1]) _win3 = show([img2], wintitle="0->1 LUT range through builder") x = np.linspace(1, 10, 200) y = np.sin(x) crv1 = make.curve(x, y, dx=x * 0.1, dy=y * 0.23) crv2 = make.curve(x, np.cos(x), color="#FF0000") _win4 = show([crv1, crv2], wintitle="Error bars with make.curve()") dat22 = np.zeros((2, 2), np.float32) dat22[0, 0] = 1 dat22[0, 1] = 2 dat22[1, 0] = 3 dat22[1, 1] = 4 img3 = make.image(dat22, xdata=[-1, 3], ydata=[-1, 3], interpolation="nearest") _win5 = show([img3], wintitle="2x2 image") img4 = make.image(dat22, x=[0, 2], y=[0, 2], interpolation="nearest") _win6 = show([img4], wintitle="Equivalent 2x2 XY image") if __name__ == "__main__": test_builder() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_colormap_editor.py000066400000000000000000000055611525747167300266370ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ ColorMapEditor test This plotpy widget can be used to edit and visualize a colormap. This test is used to verify the consistancy of the colormap editor widget and some of the CustomQwtLinearColormap features like initialization from a list of tuples or modifications. """ # guitest: show import qtpy.QtCore as QC import qtpy.QtGui as QG from guidata.qthelpers import qt_app_context from plotpy.widgets.colormap.editor import ColorMapEditor from plotpy.widgets.colormap.widget import EditableColormap def test_colormap_editor() -> None: """Test the colormap editor widget and the CustomQwtLinearColormap class by using multiple methods to initialize and export the colormap. """ with qt_app_context(exec_loop=True): print("Initialization of a default colormap editor widget") editor = ColorMapEditor(None) red = QG.QColor(QC.Qt.GlobalColor.red) green = QG.QColor(QC.Qt.GlobalColor.green) editor.colormap_widget.add_handle_at_relative_pos(0.5, red) editor.show() cmap_tuples = editor.get_colormap().to_tuples() print( "Initialization of a new colormap editor with the previous colormap: ", cmap_tuples, ) new_cmap = EditableColormap.from_iterable(cmap_tuples) print(f"{new_cmap.to_tuples()}") editor = ColorMapEditor(None, colormap=new_cmap) editor.show() cmap_tuples = editor.get_colormap().to_tuples() print( "Initialization of a new default colormap editor, " "modified post-initialization with the previous colormap: ", cmap_tuples, ) new_cmap = EditableColormap.from_iterable(cmap_tuples) editor = ColorMapEditor(None) editor.set_colormap(new_cmap) editor.show() cmap_tuples = editor.get_colormap().to_tuples() cmap_tuples = tuple((int(val * 255 + 1), color) for val, color in cmap_tuples) print( "Initialization of a new default colormap editor, " "modified post-initialization with the previous colormap " "with stops scaled by 255 + 1: ", cmap_tuples, ) new_cmap = EditableColormap.from_iterable(cmap_tuples) editor = ColorMapEditor(None) editor.set_colormap(new_cmap) editor.show() print( "Initialization of a new default colormap editor, " "modified post-initialization with the previous colormap " "where the red stop is replaced with a green stop: ", cmap_tuples, ) editor = ColorMapEditor(None) editor.set_colormap(new_cmap) editor.colormap_widget.edit_color_stop(1, None, green) editor.show() if __name__ == "__main__": test_colormap_editor() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_colormap_manager.py000066400000000000000000000041361525747167300267600ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ ColorMapManager test This plotpy widget can be used to manage colormaps (visualize, edit, create ans save). """ # guitest: show import pytest import qtpy.QtCore as QC import qtpy.QtGui as QG from guidata.env import execenv from guidata.qthelpers import exec_dialog, qt_app_context from plotpy.mathutils.colormap import delete_cmap, get_cmap from plotpy.widgets.colormap.manager import ColorMapManager from plotpy.widgets.colormap.widget import EditableColormap @pytest.fixture def test_cmap(cmap_name="Kinda Viridis"): cmap = EditableColormap( [QG.QColor(QC.Qt.GlobalColor.blue), QG.QColor(QC.Qt.GlobalColor.yellow)], name=cmap_name, ) yield cmap delete_cmap(get_cmap(cmap_name)) def test_colormap_manager(test_cmap: EditableColormap) -> None: """Test the colormap manager widget.""" with qt_app_context(exec_loop=False): red = QG.QColor(QC.Qt.GlobalColor.red) cmap_editor = ColorMapManager(None, active_colormap="YlGn") cmap_editor.show() with execenv.context(accept_dialogs=True): cmap_editor.save_colormap(test_cmap) cmap_editor.colormap_editor.colormap_widget.add_handle_at_relative_pos(0.5, red) cmap_editor.get_colormap() cmap_editor.colormap_editor.update_colormap_widget() cmap_editor.colormap_editor.update_current_dataset() # set the colormap to last one with execenv.context(accept_dialogs=True): cmap_editor.remove_colormap() result = exec_dialog(cmap_editor) execenv.print("Dialog result:", result) cmap = cmap_editor.get_colormap() execenv.print("Selected colormap:", None if cmap is None else cmap.name) delete_cmap(test_cmap) if __name__ == "__main__": test_name = "Kinda Viridis" new_colormap = EditableColormap( [QG.QColor(QC.Qt.GlobalColor.blue), QG.QColor(QC.Qt.GlobalColor.yellow)], name=test_name, ) test_colormap_manager(new_colormap) delete_cmap(get_cmap(test_name)) PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_computations.py000066400000000000000000000025211525747167300261730ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Plot computations test""" # guitest: show import numpy as np import scipy.integrate as spt from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import vistools as ptv def test_computations(): """Test computations""" x = np.linspace(-10, 10, 1000) y = np.sin(np.sin(np.sin(x))) with qt_app_context(exec_loop=True): curve = make.curve(x, y, "ab", "b") range = make.xrange(-2, 2) disp0 = make.range_info_label( range, "BR", "x = %.1f ยฑ %.1f cm", title="Range info" ) disp1 = make.computation( range, "BL", "trapz=%g", curve, lambda x, y: spt.trapezoid(y, x) ) disp2 = make.computations( range, "TL", [ (curve, "min=%.5f", lambda x, y: y.min()), (curve, "max=%.5f", lambda x, y: y.max()), (curve, "avg=%.5f", lambda x, y: y.mean()), ], ) legend = make.legend("TR") _win = ptv.show_items( wintitle="Plot computations", items=[curve, range, disp0, disp1, disp2, legend], plot_type="curve", ) if __name__ == "__main__": test_computations() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_contrast.py000066400000000000000000000046441525747167300253130ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Contrast tool test""" # guitest: show import os import os.path as osp import numpy as np from guidata.env import execenv from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import get_path from plotpy.tests.data import gen_image1, gen_image4 def __create_dialog_with_contrast(item): """Create plot dialog with contrast panel Args: Item: item to be added to the plot """ win = make.dialog( edit=False, toolbar=True, wintitle="Contrast test", show_contrast=True, type="image", size=(600, 600), ) plot = win.get_plot() plot.add_item(item) plot.set_active_item(item) item.unselect() win.show() return win def test_contrast1(): """Contrast test 1""" with qt_app_context(exec_loop=True): item = make.image(filename=get_path("brain.png"), colormap="gray") win = __create_dialog_with_contrast(item) fname = "contrast.png" try: win.get_plot().save_widget(fname) except IOError: # Skipping this part of the test # because user has no write permission on current directory pass if execenv.unattended and osp.isfile(fname): os.unlink(fname) def test_contrast2(): """Contrast test 2 Test if level histogram is really removed when the associated image is removed from the plot (the validation is not automatic) """ with qt_app_context(exec_loop=True): item1 = make.image(filename=get_path("brain.png"), colormap="gray") win = __create_dialog_with_contrast(item1) plot = win.get_plot() plot.del_item(item1) item2 = make.image(gen_image1()) plot.add_item(item2) plot.set_active_item(item2) def test_contrast3(): """Contrast test 3 Test if level histogram works properly when the image has a really high dynamic range (the validation is not automatic) """ with qt_app_context(exec_loop=True): data = gen_image4(512, 512) data = np.fft.fftshift(np.fft.fft2(data)).real item = make.image(data, colormap="viridis", eliminate_outliers=2.0) _win = __create_dialog_with_contrast(item) if __name__ == "__main__": test_contrast1() test_contrast2() test_contrast3() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_cursors.py000066400000000000000000000020041525747167300251420ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Horizontal/vertical cursors test""" # guitest: show from guidata.qthelpers import qt_app_context from numpy import linspace, sin from plotpy.builder import make from plotpy.tests import vistools as ptv def test_cursor(): """Test cursor""" x = linspace(-10, 10, 1000) + 1 y = sin(sin(sin(x))) + 3 with qt_app_context(exec_loop=True): curve = make.curve(x, y, "ab", "b") hcursor = make.hcursor(3.2, label="y = %.2f") vcursor = make.vcursor(7, label="x = %.2f") vcursor2 = make.vcursor(-1, label="NOT MOVABLE = %.2f", movable=False) xcursor = make.xcursor(-4, 2.5, label="x = %.2f
y = %.2f") legend = make.legend("TR") _win = ptv.show_items( wintitle="Plot cursors", items=[curve, hcursor, vcursor, vcursor2, xcursor, legend], plot_type="curve", ) if __name__ == "__main__": test_cursor() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_data_update_curve.py000066400000000000000000000111331525747167300271240ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Testing curve plot with data update ==================================== The purpose of this test is to implement a simple use case where a curve is updated in a loop. The curve is created with random data and the values are updated in a loop. The test is successful if the curve is updated in the plot window. """ # guitest: show from __future__ import annotations import numpy as np import pytest from guidata.qthelpers import exec_dialog, qt_app_context from qtpy import QtCore as QC from qtpy import QtGui as QG from qtpy import QtWidgets as QW from plotpy.builder import make from plotpy.plot import PlotDialog, PlotOptions from plotpy.tests import data as ptd def get_data(variable_size: bool) -> tuple[np.ndarray, np.ndarray]: """Compute 1D Gaussian data and add a narrower Gaussian on top with a random position and amplitude.""" size = np.random.randint(10, 200) if variable_size else 100 amp = 0.3 x, y = ptd.gen_1d_gaussian(size, sigma=10.0, x0=0.0, amp=amp) # Choose a random position: x0 has to be in the range [-10.0, 10.0] x0 = np.random.uniform(-10.0, 10.0) # Choose a random amplitude: a has to be in the range [0.1, 0.5] a = np.random.uniform(0.1, 0.7) # Add the narrower Gaussian on top y += ptd.gen_1d_gaussian(size, sigma=4.0, x0=x0, amp=a)[1] return x, y class CurveUpdateDialog(PlotDialog): """Dialog box for curve update""" def __init__( self, title: str, variable_size: bool = False, auto_scale: bool = True ) -> None: self.variable_size = variable_size self.auto_scale = auto_scale options = PlotOptions(title="-", show_contrast=True, type="curve") super().__init__(title=title, toolbar=True, edit=False, options=options) self.resize(600, 600) self.timer = QC.QTimer() self.item = make.curve( *get_data(variable_size), color="blue", marker="o", markersize=5, markerfacecolor="cyan", markeredgecolor="blue", ) plot = self.get_plot() plot.add_item(self.item) plot.set_active_item(self.item, select=False) self.counter = 0 def populate_plot_layout(self) -> None: """Populate the plot layout with the item""" start_btn = QW.QPushButton("Start curve update") start_btn.clicked.connect(self.start_curve_update) self.add_widget(start_btn, 0, 0) stop_btn = QW.QPushButton("Stop curve update") stop_btn.clicked.connect(self.stop_curve_update) self.add_widget(stop_btn, 0, 1) variable_size_cb = QW.QCheckBox("Variable size") variable_size_cb.setChecked(self.variable_size) variable_size_cb.stateChanged.connect(self.toggle_variable_size) self.add_widget(variable_size_cb, 0, 2) auto_scale_cb = QW.QCheckBox("Auto scale") auto_scale_cb.setChecked(True) auto_scale_cb.stateChanged.connect(self.toggle_auto_scale) self.add_widget(auto_scale_cb, 0, 3) self.add_widget(self.plot_widget, 1, 0, 1, 0) def toggle_variable_size(self, state: int) -> None: """Toggle variable size""" self.variable_size = state == QC.Qt.Checked def toggle_auto_scale(self, state: int) -> None: """Toggle auto scale""" self.auto_scale = state == QC.Qt.Checked plot = self.get_plot() if self.auto_scale: plot.do_autoscale() def start_curve_update(self) -> None: """Start curve update""" self.timer.timeout.connect(self.update_curve) self.timer.start(100) def stop_curve_update(self) -> None: """Stop curve update""" self.timer.stop() def update_curve(self) -> None: """Update curve data""" data = get_data(self.variable_size) self.counter += 1 plot = self.get_plot() self.item.set_data(data[0], data[1]) plot.set_title(f"Curve update {self.counter:03d}") if self.auto_scale: plot.do_autoscale() else: plot.replot() def closeEvent(self, event: QG.QCloseEvent) -> None: """Close the dialog and stop the timer""" self.timer.stop() super().closeEvent(event) @pytest.mark.skip(reason="Not relevant in automated test suite") def test_curve_update() -> None: """Test curve update""" title = test_curve_update.__doc__ with qt_app_context(exec_loop=False): dlg = CurveUpdateDialog(title) exec_dialog(dlg) if __name__ == "__main__": test_curve_update() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_data_update_image.py000066400000000000000000000121671525747167300270720ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Testing image show with data update =================================== The purpose of this test is to implement a simple use case where an image is updated in a loop. The image is created with random data and the pixel values are updated in a loop. The test is successful if the image is updated in the plot window. It is also a test for the "Update LUT range automatically" feature. """ # guitest: show from __future__ import annotations import numpy as np import pytest from guidata.qthelpers import exec_dialog, qt_app_context from qtpy import QtCore as QC from qtpy import QtGui as QG from qtpy import QtWidgets as QW from plotpy.builder import make from plotpy.plot import PlotDialog, PlotOptions from plotpy.tests import data as ptd from plotpy.tools import LockLUTRangeTool def get_data(variable_size: bool) -> np.ndarray: """Compute 2D Gaussian data and add a narrower Gaussian on top with a random position and amplitude.""" size = np.random.randint(50, 200) if variable_size else 100 dtype = np.uint16 amp = np.iinfo(dtype).max * 0.3 data = ptd.gen_2d_gaussian(size, dtype, sigma=10.0, x0=0.0, y0=0.0, amp=amp) # Choose a random position: x0, y0 have to be in the range [-10.0, 10.0] x0 = np.random.uniform(-10.0, 10.0) y0 = np.random.uniform(-10.0, 10.0) # Choose a random amplitude: a has to be in the range [0.1, 0.5] a = np.random.uniform(0.1, 0.7) * np.iinfo(dtype).max # Add the narrower Gaussian on top data += ptd.gen_2d_gaussian(size, dtype, sigma=4.0, x0=x0, y0=y0, amp=a) return data class ImageUpdateDialog(PlotDialog): """Dialog box for image update""" def __init__(self, title: str, variable_size: bool = False) -> None: self.variable_size = variable_size options = PlotOptions(title="-", show_contrast=True, type="image") super().__init__(title=title, toolbar=True, edit=False, options=options) self.resize(600, 600) self.timer = QC.QTimer() self.item = make.image(get_data(self.variable_size), interpolation="nearest") self.item.set_lut_range((15000, 28000)) plot = self.get_plot() plot.add_item(self.item) plot.set_active_item(self.item, select=False) self.counter = 0 self.keep_lut_cb: QW.QCheckBox | None = None def populate_plot_layout(self) -> None: """Populate the plot layout""" start_btn = QW.QPushButton("Start image update") start_btn.clicked.connect(self.start_image_update) self.add_widget(start_btn, 0, 0) stop_btn = QW.QPushButton("Stop image update") stop_btn.clicked.connect(self.stop_image_update) self.add_widget(stop_btn, 0, 1) self.keep_lut_cb = QW.QCheckBox() self.keep_lut_cb.setChecked(False) self.add_widget(self.keep_lut_cb, 0, 2) variable_size_cb = QW.QCheckBox("Variable size") variable_size_cb.setChecked(self.variable_size) variable_size_cb.stateChanged.connect(self.toggle_variable_size) self.add_widget(variable_size_cb, 0, 3) self.add_widget(self.plot_widget, 1, 0, 1, 0) def toggle_variable_size(self, state: int) -> None: """Toggle the variable size of the image""" self.variable_size = state == QC.Qt.Checked def register_tools(self) -> None: """Reimplement to connect the Keep LUT range checkbox to the item""" mgr = self.get_manager() keep_lut_tool = mgr.add_tool(LockLUTRangeTool) mgr.add_separator_tool() super().register_tools() keep_lut_tool.action.toggled.connect(self.keep_lut_cb.setChecked) self.keep_lut_cb.setText(keep_lut_tool.action.text()) self.keep_lut_cb.setToolTip(keep_lut_tool.action.toolTip()) self.keep_lut_cb.stateChanged.connect(keep_lut_tool.activate) def start_image_update(self) -> None: """Start updating the image""" self.timer.timeout.connect(self.update_image) self.timer.start(500) def stop_image_update(self) -> None: """Stop updating the image""" self.timer.stop() def update_image(self) -> None: """Update the image""" data = get_data(self.variable_size) self.counter += 1 plot = self.get_plot() # Update the image data self.item.set_data(data) plot.update_colormap_axis(self.item) # Set item as active, again, to force the plot to update the LUT range plot.set_active_item(self.item, select=False) plot.set_title(f"Image update {self.counter:03d}") plot.replot() def closeEvent(self, event: QG.QCloseEvent) -> None: """Reimplement closeEvent to stop the timer before closing the dialog""" self.timer.stop() super().closeEvent(event) @pytest.mark.skip(reason="Not relevant in automated test suite") def test_image_update() -> None: """Testing image update""" title = test_image_update.__doc__ with qt_app_context(exec_loop=False): dlg = ImageUpdateDialog(title) exec_dialog(dlg) if __name__ == "__main__": test_image_update() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_dicom_image.py000066400000000000000000000021371525747167300257060ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """DICOM image test Requires pydicom (>=0.9.3)""" # guitest: show import pytest from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import get_path try: import pydicom # type:ignore except ImportError: pydicom = None @pytest.mark.skipif(pydicom is None, reason="pydicom not installed") def test_dicom_image(): with qt_app_context(exec_loop=True): win = make.dialog( edit=False, toolbar=True, wintitle="DICOM I/O test", show_contrast=True, type="image", size=(600, 700), ) filename = get_path("mr-brain.dcm") image = make.image(filename=filename, title="DICOM img", colormap="gray") plot = win.manager.get_plot() plot.add_item(image) plot.select_item(image) contrast = win.manager.get_contrast_panel() contrast.histogram.eliminate_outliers(54.0) if __name__ == "__main__": win = test_dicom_image() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_fit.py000066400000000000000000000013741525747167300242350ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Curve fitting tools""" # guitest: show import numpy as np from plotpy.widgets.fit import FitParam, guifit def test_fit(): """Test the curve fitting tool""" x = np.linspace(-10, 10, 1000) y = np.cos(1.5 * x) + np.random.rand(x.shape[0]) * 0.2 def fit(x, params): a, b = params return np.cos(b * x) + a a = FitParam("Offset", 0.7, -1.0, 1.0) b = FitParam("Frequency", 1.2, 0.3, 3.0, logscale=True) params = [a, b] values = guifit(x, y, fit, params, xlabel="Time (s)", ylabel="Power (a.u.)") print(values) print([param.value for param in params]) if __name__ == "__main__": test_fit() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_fit_locked_params.py000066400000000000000000000030211525747167300271100ustar00rootroot00000000000000#!/usr/bin/env python # -*- coding: utf-8 -*- """Test script for locked fit parameters feature""" import numpy as np from plotpy.widgets.fit import FitParam, guifit def test_locked_fit(): """Test the curve fitting tool with locked parameters""" # Generate test data: y = cos(1.5*x) + 0.2 x = np.linspace(-10, 10, 1000) true_offset = 0.2 true_freq = 1.5 y = np.cos(true_freq * x) + true_offset + np.random.rand(x.shape[0]) * 0.1 def fit(x, params): """Fit function: a + cos(b*x)""" a, b = params return np.cos(b * x) + a # Create fit parameters # Lock the frequency parameter at the true value a = FitParam("Offset", 0.0, -1.0, 1.0) b = FitParam("Frequency", true_freq, 0.3, 3.0, logscale=True, locked=True) params = [a, b] print("Initial values:") print(f" Offset (unlocked): {a.value}") print(f" Frequency (locked): {b.value}") values = guifit( x, y, fit, params, xlabel="Time (s)", ylabel="Amplitude (a.u.)", wintitle="Locked Parameter Test", auto_fit=True, ) if values: print("\nFinal values after fit:") print(f" Offset: {values[0]:.4f} (should be close to {true_offset})") print(f" Frequency: {values[1]:.4f} (should remain {true_freq})") print("\nNote: The frequency parameter was locked and should not have changed.") print("Only the offset parameter should have been optimized.") if __name__ == "__main__": test_locked_fit() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_image_coords.py000066400000000000000000000035561525747167300261120ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Testing image coordinates issues Check that the first image pixel is centered on (0, 0) coordinates. See https://github.com/PlotPyStack/guiqwt/issues/90 """ # guitest: show from __future__ import annotations from typing import Literal import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import data as ptd from plotpy.tests import vistools as ptv from plotpy.tools import DisplayCoordsTool def test_pixel_coords(image_type: Literal["standard", "xy"] = "standard") -> None: """Testing image pixel coordinates""" title = test_pixel_coords.__doc__ + f" ({image_type} image)" data = ptd.gen_2d_gaussian(20, np.uint8, x0=-10, y0=-10, mu=7, sigma=10.0) with qt_app_context(exec_loop=True): if image_type == "xy": x = np.linspace(0.0, 10.0, data.shape[1], dtype=float) y = np.linspace(0.0, 10.0, data.shape[0], dtype=float) ** 2 / 10.0 image = make.xyimage(x, y, data, interpolation="nearest") else: image = make.image(data, interpolation="nearest") text = "First pixel should be centered on (0, 0) coordinates" label = make.label(text, (1.0, 1.0), (0, 0), "L") rect = make.rectangle(5.0, 5.0, 10.0, 10.0, "Rectangle") cursors = [] for i_cursor in range(0, 21, 10): cursors.append(make.vcursor(i_cursor, movable=False)) cursors.append(make.hcursor(i_cursor, movable=False)) win = ptv.show_items([image, label, rect] + cursors, wintitle=title) plot = win.get_plot() plot.select_item(image) win.manager.get_tool(DisplayCoordsTool).activate_curve_pointer(True) if __name__ == "__main__": test_pixel_coords("standard") test_pixel_coords("xy") PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_image_filter.py000066400000000000000000000031321525747167300260740ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Image filter demo""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from scipy.ndimage import gaussian_filter from plotpy import io from plotpy.builder import make from plotpy.tests import data as ptd from plotpy.tests import get_path def imshow(x, y, data, filter_area, yreverse=True): with qt_app_context(exec_loop=True): win = make.dialog( edit=False, toolbar=True, wintitle="Image filter demo", xlabel="x (cm)", ylabel="y (cm)", yreverse=yreverse, type="image", size=(800, 600), ) image = make.xyimage(x, y, data) plot = win.manager.get_plot() plot.add_item(image) xmin, xmax, ymin, ymax = filter_area def ifilter(x, y, data): """Image filter function""" return gaussian_filter(data, 5) flt = make.imagefilter(xmin, xmax, ymin, ymax, image, filter=ifilter) plot.add_item(flt, z=1) plot.replot() win.show() def test_imagefilter(): """Test image filter""" x, y, data = ptd.gen_xyimage() imshow(x, y, data, filter_area=(-3.0, -1.0, 0.0, 2.0), yreverse=False) filename = get_path("brain.png") data = io.imread(filename, to_grayscale=True) x = np.linspace(0, 30.0, data.shape[1]) y = np.linspace(0, 30.0, data.shape[0]) imshow(x, y, data, filter_area=(10.0, 20.0, 5.0, 15.0)) if __name__ == "__main__": test_imagefilter() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_image_superp.py000066400000000000000000000030131525747167300261230ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Image superposition test""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import get_path from plotpy.tools import EllipseTool, PlaceAxesTool, PolygonTool, RectangleTool def create_window(): gridparam = make.gridparam( background="black", minor_enabled=(False, False), major_style=(":", "gray", 1) ) win = make.dialog( toolbar=True, wintitle="Image superposition test", gridparam=gridparam, type="image", size=(800, 600), ) for toolklass in (RectangleTool, EllipseTool, PolygonTool, PlaceAxesTool): win.manager.add_tool(toolklass) return win def test_imagesuperp(): """Test image superposition""" filename = get_path("brain.png") with qt_app_context(exec_loop=True): win = create_window() image1 = make.image(filename=filename, title="Original", colormap="gray") data2 = np.array(image1.data[:, :150], copy=True) data2[:100] = data2[-100:] = 0 image2 = make.image(data2, title="Modified", alpha_function="step") plot = win.manager.get_plot() plot.add_item(image1, z=0) plot.add_item(image2, z=1) plot.set_items_readonly(False) image2.set_readonly(True) win.manager.get_itemlist_panel().show() win.show() if __name__ == "__main__": test_imagesuperp() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_loadsaveitems_hdf5.py000066400000000000000000000020571525747167300272200ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Load/save items from/to HDF5 file""" # guitest: show # WARNING: # This script requires read/write permissions on current directory from __future__ import annotations from guidata.io import HDF5Reader, HDF5Writer from plotpy.tests.features.test_loadsaveitems_pickle import IOTest class HDF5Test(IOTest): """Test load/save items from/to HDF5 file""" FNAME = "loadsavecanvas.h5" def restore_items(self) -> None: """Restore items from HDF5 file""" reader = HDF5Reader(self.FNAME) self.plot.deserialize(reader) reader.close() def save_items(self) -> None: """Save items to HDF5 file""" writer = HDF5Writer(self.FNAME) self.plot.serialize(writer) writer.close() def test_loadsaveitems_hdf5(): """Test load/save items from/to HDF5 file""" test = HDF5Test("Load/save items from/to HDF5 file") test.run() if __name__ == "__main__": test_loadsaveitems_hdf5() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_loadsaveitems_json.py000066400000000000000000000025621525747167300273440ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # This file is part of CodraFT Project # https://codra-ingenierie-informatique.github.io/CodraFT/ # # Licensed under the terms of the BSD 3-Clause or the CeCILL-B License # (see codraft/__init__.py for details) """ Unit test for plot items <--> JSON serialization/deserialization How to save/restore items to/from a JSON string? # Plot items --> JSON: writer = JSONWriter(None) save_items(writer, items) text = writer.get_json() # JSON --> Plot items: items = load_items(JSONReader(text)) """ # guitest: show # WARNING: # This script requires read/write permissions on current directory from __future__ import annotations from guidata.io import JSONReader, JSONWriter from plotpy.tests.features.test_loadsaveitems_pickle import IOTest class JSONTest(IOTest): """Class for JSON I/O testing""" FNAME = "loadsavecanvas.json" def restore_items(self) -> None: """Restore plot items""" self.plot.deserialize(JSONReader(self.FNAME)) def save_items(self) -> None: """Save plot items""" writer = JSONWriter(self.FNAME) self.plot.serialize(writer) writer.save() def test_loadsaveitems_json(): """Test load/save items from/to JSON file""" test = JSONTest("Load/save items from/to JSON file") test.run() if __name__ == "__main__": test_loadsaveitems_json() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_loadsaveitems_pickle.py000066400000000000000000000141401525747167300276350ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Load/save items using Python's pickle protocol""" # guitest: show # WARNING: # This script requires read/write permissions on current directory from __future__ import annotations import os from typing import TYPE_CHECKING import numpy as np from guidata.env import execenv from guidata.qthelpers import qt_app_context from qtpy import QtCore as QC from qtpy import QtWidgets as QW from plotpy.builder import make from plotpy.items import Axes, PolygonShape from plotpy.plot import PlotDialog, PlotOptions from plotpy.tests import get_path from plotpy.tools import ImageMaskTool, LoadItemsTool, SaveItemsTool if TYPE_CHECKING: from plotpy.plot import BasePlot def build_items() -> list: """Build items""" x = np.linspace(-10, 10, 200) y = np.sin(np.sin(np.sin(x))) filename = get_path("brain.png") xydata = make._get_image_data(None, filename, "XY Brain Image", to_grayscale=True)[ 0 ] x = [0] delta = 1 for x_val in range(xydata.shape[0] - 1): delta = delta + 0.01 x.append(x[-1] + delta) y = [0] for y_val in range(xydata.shape[1] - 1): delta = delta + 0.01 y.append(y[-1] + delta) polypoints1 = np.array( [ [150.0, 330.0], [270.0, 520.0], [470.0, 480.0], [520.0, 360.0], [460.0, 200.0], [250.0, 240.0], ] ) polypoints2 = polypoints1 * 0.5 items = [ make.curve(x, y, color="b"), make.image(filename=filename), make.trimage(filename=filename), make.maskedimage( filename=filename, colormap="gray", show_mask=True, xdata=[0, 40], ydata=[0, 50], ), make.maskedxyimage(data=xydata, colormap="gray", show_mask=True, x=x, y=y), make.label("Relative position outside", (x[0], y[0]), (-10, -10), "BR"), make.label("Relative position inside", (x[0], y[0]), (10, 10), "TL"), make.label("Absolute position", "R", (0, 0), "R"), make.legend("TR"), make.rectangle(-3, -0.8, -0.5, -1.0, "rc1"), make.segment(-3, -0.8, -0.5, -1.0, "se1"), make.ellipse(-10, 0.0, 0, 0, "el1"), make.annotated_rectangle(0.5, 0.8, 3, 1.0, "rc1", "tutu"), make.annotated_segment(-1, -1, 1, 1.0, "rc1", "tutu"), make.annotated_polygon(polypoints2, "rc1", "tutu"), Axes((0, 0), (1, 0), (0, 1)), PolygonShape(polypoints1), ] return items class LoadSaveDialog(PlotDialog): """Test dialog""" SIG_SAVE_RESTORE_ITEMS = QC.Signal() def __init__(self, title: str) -> None: super().__init__( edit=False, toolbar=True, title=title, options=PlotOptions( title="Title", xlabel="xlabel", ylabel="ylabel", type="image" ), ) self.manager.add_separator_tool() self.manager.add_tool(LoadItemsTool) self.manager.add_tool(SaveItemsTool) self.manager.add_tool(ImageMaskTool) self.manager.get_itemlist_panel().show() def populate_plot_layout(self) -> None: """Populate the plot layout""" super().populate_plot_layout() if not execenv.unattended: continue_btn = QW.QPushButton("Save and restore items") continue_btn.clicked.connect(lambda: self.SIG_SAVE_RESTORE_ITEMS.emit()) self.add_widget(continue_btn) class IOTest: """Base class for load/save items tests""" FNAME: str = "" def __init__(self, title: str) -> None: self.title = title self.dlg = None @property def plot(self) -> BasePlot: """Get the plot object""" if self.dlg is None: raise RuntimeError("No dialog") return self.dlg.manager.get_plot() def run(self) -> None: """Run test""" with qt_app_context(exec_loop=True): self.dlg = LoadSaveDialog(self.title) self.dlg.SIG_SAVE_RESTORE_ITEMS.connect(self.save_and_restore_items) print("Building items and add them to plotting canvas", end=" ") self.add_items() print("OK") self.dlg.show() if execenv.unattended: self.save_and_restore_items() print("Cleaning up...", end=" ") if os.path.isfile(self.FNAME): os.unlink(self.FNAME) print("OK") else: print("No file to clean up") def save_and_restore_items(self) -> None: """Save and restore items""" print("Saving items...", end=" ") self.save_items() print("OK") print("Remove items from plotting canvas...", end=" ") self.plot.del_all_items() print("OK") print("Restoring items...", end=" ") self.restore_items() print("OK") def build_items(self) -> list: """Build items""" return build_items() def add_items(self) -> None: """Add items to plotting canvas""" for item in self.build_items(): self.plot.add_item(item) self.dlg.manager.get_itemlist_panel().show() self.plot.set_items_readonly(False) def restore_items(self) -> None: """Restore items""" raise NotImplementedError def save_items(self) -> None: """Save items""" raise NotImplementedError class PickleTest(IOTest): """Test load/save items using Python's pickle protocol""" FNAME = "loadsavecanvas.pickle" def restore_items(self) -> None: """Restore items""" with open(self.FNAME, "rb") as f: self.plot.restore_items(f) def save_items(self) -> None: """Save items""" self.plot.select_all() with open(self.FNAME, "wb") as f: self.plot.save_items(f, selected=True) def test_pickle() -> None: """Test load/save items using Python's pickle protocol""" test = PickleTest("Load/save items using Python's pickle protocol") test.run() if __name__ == "__main__": test_pickle() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_manager.py000066400000000000000000000057171525747167300250720ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """PlotManager test""" # guitest: show from guidata.qthelpers import qt_app_context, win32_fix_title_bar_background from qtpy import QtCore as QC from qtpy import QtWidgets as QW from plotpy.builder import make from plotpy.panels import ContrastAdjustment, PlotItemList from plotpy.plot import BasePlot, BasePlotOptions from plotpy.plot.manager import PlotManager from plotpy.tests import data as ptd from plotpy.tests import get_path class CentralWidget(QW.QWidget): def __init__(self, parent): QW.QWidget.__init__(self, parent) layout = QW.QGridLayout() self.setLayout(layout) options = BasePlotOptions(type="image") self.plot1 = BasePlot(self, options=options) layout.addWidget(self.plot1, 0, 0, 1, 1) self.plot2 = BasePlot(self, options=options) layout.addWidget(self.plot2, 1, 0, 1, 1) self.contrast = ContrastAdjustment(self) layout.addWidget(self.contrast, 2, 0, 1, 2) self.itemlist = PlotItemList(self) layout.addWidget(self.itemlist, 0, 1, 2, 1) self.manager = PlotManager(self) for plot in (self.plot1, self.plot2): self.manager.add_plot(plot) for panel in (self.itemlist, self.contrast): self.manager.add_panel(panel) def register_tools(self): self.manager.register_all_image_tools() def minimumSizeHint(self): """Override QWidget method""" # The purpose of this reimplementation is to trigger the issue #3 # (see https://github.com/PlotPyStack/PlotPy/issues/3) return QC.QSize(150, 100) class Window(QW.QMainWindow): def __init__(self): super().__init__() win32_fix_title_bar_background(self) self.setWindowTitle("PlotManager test") filename = get_path("brain.png") image1 = make.image(filename=filename, title="Original", colormap="gray") image2 = make.image(ptd.gen_image4(500, 500)) widget = CentralWidget(self) self.setCentralWidget(widget) widget.plot1.add_item(image1) widget.plot2.add_item(image2) toolbar = self.addToolBar("tools") widget.manager.add_toolbar(toolbar, id(toolbar)) # widget.manager.set_default_toolbar(toolbar) widget.register_tools() def test_manager(): """Test""" with qt_app_context(exec_loop=True): win = Window() win.show() def test_resize_to_minimum_width(): """Testing resize window to minimum width""" # This test was failing at the time of Issue #3 # (see https://github.com/PlotPyStack/PlotPy/issues/3) with qt_app_context(exec_loop=False): win = Window() win.show() width = 350 while width > win.minimumWidth(): width -= 1 win.resize(width, 100) if __name__ == "__main__": test_manager() # test_resize_to_minimum_width() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_no_auto_tools.py000066400000000000000000000012601525747167300263310ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Testing `auto_tools` plot option""" # guitest: show from guidata.qthelpers import qt_app_context from numpy import linspace, sin from plotpy.builder import make from plotpy.tests import vistools as ptv def test_no_auto_tools(): """Test no auto tools""" x = linspace(-10, 10, 200) y = sin(sin(sin(x))) with qt_app_context(exec_loop=True): _win = ptv.show_items( [make.curve(x, y, color="b")], auto_tools=False, wintitle=test_no_auto_tools.__doc__, ) if __name__ == "__main__": test_no_auto_tools() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_plot_log.py000066400000000000000000000015771525747167300252770ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Logarithmic scale test for curve plotting""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import vistools as ptv def test_plot_log(): """Test plot log""" with qt_app_context(exec_loop=True): x = np.linspace(1, 10, 200) y = np.exp(-x) y[0] = 0 items = [make.curve(x, y, color="b"), make.error(x, y, None, y * 0.23)] win = ptv.show_items(items, plot_type="curve", wintitle=test_plot_log.__doc__) plot = win.manager.get_plot() plot.set_axis_scale("left", "log") plot.set_axis_scale("bottom", "log") # plot.set_axis_limits("left", 4.53999297625e-05, 22026.4657948) if __name__ == "__main__": test_plot_log() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_plot_time.py000066400000000000000000000155571525747167300254570ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Curve plotting with time axis test""" # guitest: show from __future__ import annotations import csv from datetime import datetime, timedelta import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.plot import PlotWidget from plotpy.tests import get_path, vistools from plotpy.tools import VCursorTool def __create_time_data() -> tuple[np.ndarray, np.ndarray]: """Create time data""" # Create a temperature monitoring signal with second-resolution timestamps base_time = datetime(2025, 10, 7, 10, 0, 0) timestamps = [base_time + timedelta(seconds=i * 10) for i in range(100)] # Convert timestamps to numpy array of floats (seconds since epoch) x = np.array([(ts - datetime(1970, 1, 1)).total_seconds() for ts in timestamps]) # Simulate temperature data with daily variation and noise hours_elapsed = np.arange(100) * 10 / 3600 # Convert to hours y = 20 + 5 * np.sin(2 * np.pi * hours_elapsed / 24) + np.random.randn(100) * 0.5 return x, y def test_plot_time_axis1(): """Test plot time axis""" with qt_app_context(exec_loop=True): x, y = __create_time_data() items = [make.curve(x, y, color="b")] win = vistools.show_items( items, plot_type="curve", wintitle=test_plot_time_axis1.__doc__ ) win.manager.add_tool(VCursorTool) plot = win.manager.get_plot() # Configure x-axis for datetime display plot.set_axis_datetime("bottom", format="%H:%M:%S") # Set axis limits using datetime objects (zoom to first half of data) base_time = datetime(2025, 10, 7, 10, 0, 0) plot.set_axis_limits_from_datetime( "bottom", base_time, base_time + timedelta(minutes=10), ) def test_plot_time_axis2(): """Test plot time axis with data from file""" datafile = get_path("datetime.txt") # Read data from file without Pandas dependency timestamps = [] temperatures = [] with open(datafile, "r", encoding="utf-8") as f: reader = csv.reader(f) next(reader) # Skip header row for row in reader: if len(row) >= 3: # Ensure we have at least timestamp and temperature try: # Parse timestamp (column 1) and temperature (column 2) timestamp_str = row[1] temperature = float(row[2]) # Parse datetime and convert to seconds since epoch dt = datetime.strptime(timestamp_str, "%Y-%m-%d %H:%M:%S") timestamp_epoch = (dt - datetime(1970, 1, 1)).total_seconds() timestamps.append(timestamp_epoch) temperatures.append(temperature) except (ValueError, IndexError): # Skip malformed rows continue # Convert to numpy arrays x = np.array(timestamps) y = np.array(temperatures) with qt_app_context(exec_loop=True): items = [make.curve(x, y, color="r")] win = vistools.show_items( items, plot_type="curve", wintitle=test_plot_time_axis2.__doc__ ) plot = win.manager.get_plot() # Configure x-axis for datetime display plot.set_axis_datetime("bottom", format="%Y-%m-%d %H:%M") # Set axis limits using datetime objects if len(timestamps) > 0: dt1 = datetime(2025, 6, 19, 10, 0) dt2 = datetime(2025, 6, 19, 12, 0) plot.set_axis_limits_from_datetime("bottom", dt1, dt2) def test_datetime_scale_type(): """Test the new 'datetime' scale type API""" with qt_app_context(): from plotpy.plot import PlotWidget plot_widget = PlotWidget() plot = plot_widget.plot # Test setting datetime scale type plot.set_axis_scale("bottom", "datetime") assert plot.get_axis_scale("bottom") == "datetime" # Test scale switching plot.set_axis_scale("bottom", "lin") assert plot.get_axis_scale("bottom") == "lin" plot.set_axis_scale("bottom", "log") assert plot.get_axis_scale("bottom") == "log" plot.set_axis_scale("bottom", "datetime") assert plot.get_axis_scale("bottom") == "datetime" # Verify the scale engine type from qwt import QwtDateTimeScaleEngine axis_id = plot.get_axis_id("bottom") engine = plot.axisScaleEngine(axis_id) assert isinstance(engine, QwtDateTimeScaleEngine) print("โœ“ Datetime scale type tests passed") def test_datetime_coordinate_formatting(): """Test that coordinates are formatted as datetime when axis is in datetime mode""" with qt_app_context(): plot_widget = PlotWidget() plot = plot_widget.plot # Create datetime data start_time = datetime(2024, 1, 15, 10, 0, 0) times = [start_time + timedelta(hours=x) for x in range(24)] timestamps = [t.timestamp() for t in times] values = np.random.random(len(times)) # Add curve and set datetime scale curve = make.curve(timestamps, values, title="Test curve") plot.add_item(curve) plot.set_axis_limits("bottom", timestamps[0], timestamps[-1]) plot.set_axis_scale("bottom", "datetime") # Test coordinate formatting test_time = timestamps[12] # Noon test_value = values[12] # Test plot-level coordinate display grid_coords = plot.get_coordinates_str(test_time, test_value) assert "2024-01-15" in grid_coords, ( f"Grid coordinates should contain datetime: {grid_coords}" ) # Test curve-level coordinate display curve_coords = curve.get_coordinates_label(test_time, test_value) assert "2024-01-15" in curve_coords, ( f"Curve coordinates should contain datetime: {curve_coords}" ) # Test with custom format plot.set_axis_datetime("bottom", format="%H:%M") custom_coords = plot.get_coordinates_str(test_time, test_value) expected_time = datetime.fromtimestamp(test_time).strftime("%H:%M") assert expected_time in custom_coords, ( f"Custom format coordinates should contain {expected_time}: {custom_coords}" ) # Test switch back to linear plot.set_axis_scale("bottom", "lin") linear_coords = plot.get_coordinates_str(test_time, test_value) assert ( str(int(test_time)) in linear_coords or f"{test_time:g}" in linear_coords ), f"Linear coordinates should contain numeric timestamp: {linear_coords}" print("โœ“ Datetime coordinate formatting tests passed") if __name__ == "__main__": test_plot_time_axis1() test_plot_time_axis2() test_datetime_scale_type() test_datetime_coordinate_formatting() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_plot_types.py000066400000000000000000000022251525747167300256510ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """PlotTypes test""" # guitest: show from guidata.qthelpers import qt_app_context from numpy import linspace, sin from plotpy.builder import make from plotpy.tests import data as ptd from plotpy.tests import vistools as ptv def test_plot_types(): """Test plot types""" _persist = [] with qt_app_context(exec_loop=True): x = linspace(-10, 10, 200) y = sin(sin(sin(x))) for plot_type in ("curve", "image", "auto", "manual"): for reverse in (True, False): revtxt = f"{'image' if reverse else 'curve'} added first" items = [ make.curve(x, y, color="b"), make.image(ptd.gen_image1()), ] _persist.append( ptv.show_items( reversed(items) if reverse else items, plot_type=plot_type, wintitle=f"Plot type: '{plot_type}' ({revtxt})", ) ) if __name__ == "__main__": test_plot_types() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_plot_yreverse.py000066400000000000000000000014561525747167300263560ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Reverse y-axis test for curve plotting""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import vistools as ptv def test_plot_yreverse(): """Testing reverse x/y axes""" with qt_app_context(exec_loop=True): x = np.linspace(-10, 10, 200) win = ptv.show_items( [make.curve(x, x * np.exp(-x), color="b")], plot_type="curve", wintitle=test_plot_yreverse.__doc__, ) plot = win.manager.get_plot() plot.set_axis_direction("left", True) plot.set_axis_direction("bottom", True) if __name__ == "__main__": test_plot_yreverse() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_pyplot.py000066400000000000000000000042671525747167300250060ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ pyplot test Interactive plotting interface with MATLAB-like syntax """ # guitest: show import numpy as np import pytest from numpy.random import normal import plotpy.pyplot as plt @pytest.mark.skip(reason="Not relevant in automated test suite") def test_pyplot(): x = np.linspace(-5, 5, 1000) plt.figure(1) plt.subplot(2, 1, 1) plt.plot(x, np.sin(x), "r+") plt.plot(x, np.cos(x), "g-") plt.errorbar(x, -1 + x**2 / 20 + 0.2 * np.random.rand(len(x)), x / 20) plt.xlabel("Axe x") plt.ylabel("Axe y") plt.subplot(2, 1, 2) img = np.fromfunction( lambda x, y: np.sin((x / 200.0) * (y / 200.0) ** 2), (1000, 1000) ) plt.xlabel("pixels") plt.ylabel("pixels") plt.zlabel("intensity") plt.gray() # pylint: disable=no-member plt.imshow(img) # savefig("D:\\test1.pdf", draft=True) plt.figure("table plot") data = np.array([x, np.sin(x), np.cos(x)]).T plt.plot(data) plt.figure("simple plot") plt.subplot(1, 2, 1) plt.plot(x, np.tanh(x + np.sin(12 * x)), "g-", label="Tanh") plt.legend() plt.subplot(1, 2, 2) plt.plot(x, np.sinh(x), "r:", label="SinH") # savefig("D:\\test2.pdf") # savefig("D:\\test2.png") plt.show() plt.figure("semilogx") plt.semilogx(x, np.sin(12 * x), "g-") plt.show() plt.figure("plotyy") plt.plotyy(x, np.sin(x), x, np.cos(x)) plt.ylabel("sine", "cosine") plt.show() plt.figure("hist") data = normal(0, 1, (2000,)) plt.hist(data) plt.show() plt.figure("pcolor 1") r = np.linspace(1.0, 16, 100) th = np.linspace(0.0, np.pi, 100) R, TH = np.meshgrid(r, th) X = R * np.cos(TH) Y = R * np.sin(TH) Z = 4 * TH + R plt.pcolor(X, Y, Z) plt.figure("pcolor 2") plt.pcolor(Z) plt.hot() # pylint: disable=no-member plt.show() plt.figure("quiver") x = np.linspace(-2, 2, 15) y = np.linspace(-2, 2, 15) X2, Y2 = np.meshgrid(x, y) plt.quiver(X2, Y2, -Y2, X2, color="blue", title="Rotational field") plt.show() if __name__ == "__main__": test_pyplot() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_quiver.py000066400000000000000000000035161525747167300247660ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Quiver plot item test""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import vistools as ptv def test_quiver(): """Testing quiver plot item""" with qt_app_context(exec_loop=True): # Example 1: Rotational vector field x = np.linspace(-2, 2, 15) y = np.linspace(-2, 2, 15) X, Y = np.meshgrid(x, y) U = -Y V = X item1 = make.quiver(X, Y, U, V, title="Rotation", color="blue") _win1 = ptv.show_items( [item1], plot_type="curve", wintitle="Quiver: Rotational field", ) # Example 2: Gradient field (converging to origin) U2 = -X V2 = -Y item2 = make.quiver(X, Y, U2, V2, title="Convergence", color="red") _win2 = ptv.show_items( [item2], plot_type="curve", wintitle="Quiver: Gradient field", ) # Example 3: 1D input (auto meshgrid) item3 = make.quiver( x, y, U, V, title="From 1D arrays", color="darkgreen", arrow_scale=40.0, arrow_head_size=8.0, ) _win3 = ptv.show_items( [item3], plot_type="curve", wintitle="Quiver: 1D input arrays", ) # Example 4: Uniform field U4 = np.ones_like(X) V4 = np.zeros_like(Y) item4 = make.quiver(X, Y, U4, V4, title="Uniform", color="#FF8800") _win4 = ptv.show_items( [item4], plot_type="curve", wintitle="Quiver: Uniform field", ) if __name__ == "__main__": test_quiver() PlotPyStack-PlotPy-2af0906/plotpy/tests/features/test_resize.py000066400000000000000000000012321525747167300247450ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Resize test: using the scaler C++ engine to resize images""" # guitest: show from guidata.qthelpers import qt_app_context from plotpy import io from plotpy.mathutils import scaler from plotpy.tests import get_path from plotpy.tests.widgets.test_rotatecrop import imshow def test_resize(): """Test""" with qt_app_context(exec_loop=False): filename = get_path("brain.png") data = io.imread(filename) dst_image = scaler.resize(data, (2000, 3000)) imshow(dst_image) if __name__ == "__main__": test_resize() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/000077500000000000000000000000001525747167300213405ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/tests/items/__init__.py000066400000000000000000000000001525747167300234370ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_annotated_range.py000066400000000000000000000020601525747167300261000ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Testing `AnnotatedXRange` and `AnnotatedYRange` items""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import vistools as ptv def test_annotated_range_selection(): """Test AnnotatedXRange and AnnotatedYRange items""" x = np.linspace(-5, 15, 200) y = np.sin(np.sin(np.sin(x))) + 0.5 with qt_app_context(exec_loop=True): items = [ make.curve(x, y, color="b"), make.annotated_xrange(x0=-5, x1=0.0, title="X Range Selection"), make.annotated_yrange(y0=-0.2, y1=0.1, title="Y Range Selection"), ] _win = ptv.show_items( items, wintitle=test_annotated_range_selection.__doc__, title="Annotated Range Selection", plot_type="curve", disable_readonly_for_items=False, ) if __name__ == "__main__": test_annotated_range_selection() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_annotations.py000066400000000000000000000022671525747167300253150ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Annotation test""" # guitest: show from guidata.qthelpers import qt_app_context from numpy import linspace, sin from plotpy.builder import make from plotpy.tests import data as ptd from plotpy.tests import vistools as ptv def plot(*items, plot_type="auto"): title = "All annotation tools" if plot_type in ("curve", "image"): title = f"{plot_type.capitalize()} specialized plot annotation tools" win = ptv.show_items(items, plot_type=plot_type, wintitle=title, title=title) win.register_annotation_tools() return win def test_annotation(): """Test annotation""" x = linspace(-10, 10, 200) y = sin(sin(sin(x))) persist = [] with qt_app_context(exec_loop=True): persist.append(plot(make.curve(x, y, color="b"), plot_type="curve")) item = make.image(ptd.gen_image1()) item.set_readonly(True) item.set_selectable(False) persist.append(plot(item, plot_type="image")) persist.append(plot(make.curve(x, y, color="b"), make.image(ptd.gen_image1()))) if __name__ == "__main__": test_annotation() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_contours.py000066400000000000000000000026001525747167300246230ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Contour builder test""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.items import ContourItem from plotpy.tests import vistools as ptv def create_two_gaussians() -> np.ndarray: """Create two nearby 2D Gaussians with different shapes.""" axis = np.linspace(-5.0, 5.0, 300) x, y = np.meshgrid(axis, axis) wide = np.exp(-((x + 0.9) ** 2 + (y + 0.2) ** 2) / (2.0 * 1.2**2)) narrow = 0.65 * np.exp(-((x - 1.0) ** 2 + (y - 0.4) ** 2) / (2.0 * 0.6**2)) return wide + narrow def test_contours(): """Contour plotting on two nearby 2D Gaussians""" with qt_app_context(exec_loop=True): image = create_two_gaussians() contour_items = make.contours( image, np.linspace(0.2, 1.0, 5), color="y", linestyle=":", linewidth=2.0, ) assert contour_items assert all(isinstance(item, ContourItem) for item in contour_items) _win = ptv.show_items( [make.image(image, colormap="cool")] + contour_items, wintitle=test_contours.__doc__, curve_antialiasing=False, lock_aspect_ratio=True, ) if __name__ == "__main__": test_contours() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_curves.py000066400000000000000000000031161525747167300242610ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Curve plotting test""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import vistools as ptv def test_plot(): """Curve plotting test""" x = np.linspace(-10, 10, 200) dy = x / 100.0 y = np.sin(np.sin(np.sin(x))) x2 = np.linspace(-10, 10, 20) y2 = np.sin(np.sin(np.sin(x2))) with qt_app_context(exec_loop=True): items = [ make.curve(x, y, color="b"), curve1 := make.curve(x2, y2, color="g", title="Readonly"), curve2 := make.curve(x, np.sin(2 * y), color="r", title="Private"), make.merror(x, y / 2, dy), make.label( "Relative position outside", (x[0], y[0]), (-10, -10), "BR" ), make.label("Relative position inside", (x[0], y[0]), (10, 10), "TL"), make.label("Absolute position", "R", (0, 0), "R"), make.legend("TR"), make.marker( position=(5.0, 0.8), label_cb=lambda x, y: "A = %.2f" % x, markerstyle="|", movable=False, ), ] curve1.set_readonly(True) curve2.set_private(True) _win = ptv.show_items( items, wintitle=test_plot.__doc__, title="Curves", plot_type="curve", disable_readonly_for_items=False, ) if __name__ == "__main__": test_plot() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_curves_highdpi.py000066400000000000000000000031111525747167300257500ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Curve plotting test with high DPI""" # guitest: show,skip import os import numpy as np import pytest from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import vistools as ptv @pytest.mark.skip(reason="This test is not relevant for the automated test suite") def test_plot_highdpi(): """Curve plotting test with high DPI""" # When setting the QT_SCALE_FACTOR to "2", performance is degraded, due to the # increased number of points to be drawn. As a workaround, we use the downsampling # feature to reduce the number of points to be drawn. # We also enable the antialiasing feature to improve the rendering of the curves, # which is also affected by the high DPI setting. # See https://github.com/PlotPyStack/PlotPy/issues/10 os.environ["QT_SCALE_FACTOR"] = "2" npoints = 5000000 # 5M points are needed to see the difference dsamp_factor = npoints // 50000 # Max 50000 points to be drawn x = np.linspace(-10, 10, npoints) y = np.sin(np.sin(np.sin(x))) with qt_app_context(exec_loop=True): _win = ptv.show_items( [ make.curve(x, y, color="b", dsamp_factor=dsamp_factor, use_dsamp=True), make.legend("TR"), ], curve_antialiasing=True, wintitle=test_plot_highdpi.__doc__, title="Curves with high DPI", plot_type="curve", ) if __name__ == "__main__": test_plot_highdpi() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_hist2d.py000066400000000000000000000042531525747167300241520ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """2-D Histogram test""" # guitest: show from guidata.qthelpers import qt_app_context from numpy import array, concatenate, dot, random from plotpy.builder import make from plotpy.config import _ def hist2d_func(X, Y, Z): with qt_app_context(exec_loop=True): win = make.dialog( edit=True, toolbar=True, wintitle="2-D Histogram X0=(0,1), X1=(-1,-1)", type="image", ) hist2d = make.histogram2D(X, Y, 200, 200, Z=Z, computation=2) curve = make.curve( X[::50], Y[::50], linestyle="", marker="+", title=_("Markers") ) plot = win.manager.get_plot() plot.set_aspect_ratio(lock=False) plot.set_antialiasing(False) plot.add_item(hist2d) plot.add_item(curve) plot.set_item_visible(curve, False) win.show() def hist2d(X, Y): with qt_app_context(exec_loop=True): win = make.dialog( edit=True, toolbar=True, wintitle="2-D Histogram X0=(0,1), X1=(-1,-1)", type="image", ) hist2d = make.histogram2D(X, Y, 200, 200) curve = make.curve( X[::50], Y[::50], linestyle="", marker="+", title=_("Markers") ) plot = win.manager.get_plot() plot.set_aspect_ratio(lock=False) plot.set_antialiasing(False) plot.add_item(hist2d) plot.add_item(curve) plot.set_item_visible(curve, False) win.show() def test_hist_2d(): N = 150000 m = array([[1.0, 0.2], [-0.2, 3.0]]) X1 = random.normal(0, 0.3, size=(N, 2)) X2 = random.normal(0, 0.3, size=(N, 2)) X = concatenate((X1 + [0, 1.0], dot(X2, m) + [-1, -1.0])) hist2d(X[:, 0], X[:, 1]) def test_hist_2d_func(): N = 150000 m = array([[1.0, 0.2], [-0.2, 3.0]]) X1 = random.normal(0, 0.3, size=(N, 2)) X2 = random.normal(0, 0.3, size=(N, 2)) X = concatenate((X1 + [0, 1.0], dot(X2, m) + [-1, -1.0])) hist2d_func(X[:, 0], X[:, 1], X[:, 0] + X[:, 1]) if __name__ == "__main__": test_hist_2d() test_hist_2d_func() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_histogram.py000066400000000000000000000012461525747167300247510ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Histogram test""" # guitest: show from guidata.qthelpers import qt_app_context from numpy.random import normal from plotpy.builder import make def test_histogram(): """Test""" with qt_app_context(exec_loop=True): data = normal(0, 1, (2000,)) win = make.dialog( edit=False, toolbar=True, wintitle="Histogram test", type="curve", ) plot = win.manager.get_plot() plot.add_item(make.histogram(data)) win.show() if __name__ == "__main__": test_histogram() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_image.py000066400000000000000000000012571525747167300240400ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Test showing an image""" # guitest: show from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import data as ptd from plotpy.tests import vistools as ptv def test_image(): """Testing ImageItem object""" for index, func in enumerate((ptd.gen_image1, ptd.gen_image2, ptd.gen_image3)): title = test_image.__doc__ + f" #{index + 1}" data = func() with qt_app_context(exec_loop=True): _win = ptv.show_items([make.image(data)], wintitle=title) if __name__ == "__main__": test_image() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_image_aspect_ratio.py000066400000000000000000000020421525747167300265660ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Image and shapes with unlock aspect ratio test""" # guitest: show from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import data as ptd from plotpy.tests import vistools as ptv def test_image_aspect_ratio(): """Testing image and shapes with unlock aspect ratio""" with qt_app_context(exec_loop=True): data = ptd.gen_image4(500, 700) image = make.image(data) image.hide() circle = make.circle(200, 200, 500, 300) circle.select() txt = "This test is considered passed if
the ellipse is drawn properly." win = ptv.show_items( [image, circle, make.label(txt, "C", (0, 0), "C")], plot_type="image", wintitle=test_image_aspect_ratio.__doc__, lock_aspect_ratio=False, ) win.plot_widget.plot.set_aspect_ratio(0.25) if __name__ == "__main__": test_image_aspect_ratio() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_image_contour.py000066400000000000000000000013361525747167300256070ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Contour test""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import vistools as ptv from plotpy.tests.data import gen_xyz_data def test_contour(): """Contour plotting test""" with qt_app_context(exec_loop=True): _x, _y, z = gen_xyz_data() _win = ptv.show_items( [make.image(z)] + make.contours(z, np.arange(-2, 2, 0.5)), wintitle=test_contour.__doc__, curve_antialiasing=False, lock_aspect_ratio=True, ) if __name__ == "__main__": test_contour() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_image_masked.py000066400000000000000000000022361525747167300253620ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Masked Image test, creating the MaskedImageItem object via make.maskedimage Masked image items are constructed using a masked array item. Masked data is ignored in computations, like the average cross sections. """ # guitest: show from __future__ import annotations import os.path as osp from plotpy.builder import make from plotpy.tests import get_path from plotpy.tests.features.test_loadsaveitems_pickle import PickleTest class MaskedImageTest(PickleTest): """Test class for MaskedImageItem tests""" FNAME = f"{osp.splitext(osp.basename(__file__))[0]}.pickle" IMAGE_FN = get_path("brain.png") def build_items(self) -> list: """Build items""" image = make.maskedimage( filename=self.IMAGE_FN, colormap="gray", show_mask=True, xdata=[0, 20], ydata=[0, 25], ) return [image] def test_image_masked(): """Test MaskedImageItem""" test = MaskedImageTest("MaskedImageItem test") test.run() if __name__ == "__main__": test_image_masked() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_image_masked_xy.py000066400000000000000000000024101525747167300260740ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Masked Image test, creating the MaskedXYImageItem object via make.maskedxyimage Masked image XY items are constructed using a masked array item. Masked data is ignored in computations, like the average cross sections. """ # guitest: show from __future__ import annotations from plotpy import io from plotpy.builder import make from plotpy.tests.items.test_image_masked import MaskedImageTest class XYMaskedImageTest(MaskedImageTest): """XYMaskedImageItem test class""" def build_items(self) -> list: """Build items""" data = io.imread(self.IMAGE_FN, to_grayscale=True) x = [0] delta = 1 for x_val in range(data.shape[0] - 1): delta = delta + 0.1 x.append(x[-1] + delta) y = [0] for y_val in range(data.shape[1] - 1): delta = delta + 0.1 y.append(y[-1] + delta) image = make.maskedimage(data=data, colormap="gray", show_mask=True, x=x, y=y) return [image] def test_image_masked_xy(): """Test MaskedImageItem""" test = XYMaskedImageTest("MaskedImageItem test") test.run() if __name__ == "__main__": test_image_masked_xy() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_image_rgb.py000066400000000000000000000013341525747167300246660ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """RGB Image test, creating the RGBImageItem object via make.rgbimage""" # guitest: show from guidata.configtools import get_image_file_path from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import vistools as ptv def test_image_rgb(): """Testing RGB image item""" with qt_app_context(exec_loop=True): item = make.rgbimage( filename=get_image_file_path("image.png"), xdata=[-1, 1], ydata=[-1, 1] ) _wn = ptv.show_items([item], plot_type="image", wintitle=test_image_rgb.__doc__) if __name__ == "__main__": test_image_rgb() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_image_xy.py000066400000000000000000000013271525747167300245560ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Image with custom X/Y axes linear scales""" # guitest: show from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import data as ptd from plotpy.tests import vistools as ptv def test_imagexy(): """Testing XYImageItem""" with qt_app_context(exec_loop=True): x, y, data = ptd.gen_xyimage() _win = ptv.show_items( [make.xyimage(x, y, data)], plot_type="image", xlabel="x (a.u.)", ylabel="y (a.u.)", wintitle=test_imagexy.__doc__, ) if __name__ == "__main__": test_imagexy() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_label.py000066400000000000000000000023471525747167300240360ustar00rootroot00000000000000# -*- coding: utf-8 -*- """Label and legend item tests.""" import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make def test_legend_click_inside_out_of_range_row() -> None: """Clicking outside a legend row must not index the curve list negatively.""" with qt_app_context(exec_loop=False): window = make.dialog(edit=False, type="curve", size=(640, 480)) plot = window.manager.get_plot() plot.add_item(make.curve(np.arange(3), np.arange(3), title="Signal")) legend = make.legend("TR") plot.add_item(legend) legend.get_text_rect() result = legend.click_inside(6.0, -100.0) assert result == (2.0, 1, True, None) window.close() def test_empty_legend_click_inside_does_not_crash() -> None: """Clicking an empty legend must not index an empty curve list.""" with qt_app_context(exec_loop=False): window = make.dialog(edit=False, type="curve", size=(640, 480)) plot = window.manager.get_plot() legend = make.legend("TR") plot.add_item(legend) legend.get_text_rect() result = legend.click_inside(6.0, -100.0) assert result == (2.0, 1, True, None) window.close() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_mandelbrot.py000066400000000000000000000052441525747167300251050ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Mandelbrot demo""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from qtpy import QtCore as QC from plotpy.builder import make from plotpy.config import _ from plotpy.items import RawImageItem from plotpy.mandelbrot import mandelbrot from plotpy.tools import ToggleTool class FullScale(ToggleTool): def __init__(self, parent, image): super().__init__(parent, _("MAX resolution"), None) self.image = image self.minprec = image.IMAX self.maxprec = 5 * image.IMAX def activate_command(self, plot, checked): if self.image.IMAX == self.minprec: self.image.IMAX = self.maxprec else: self.image.IMAX = self.minprec self.image.set_lut_range([0, self.image.IMAX]) plot.replot() def update_status(self, plot): self.action.setChecked(self.image.IMAX == self.maxprec) class MandelItem(RawImageItem): def __init__(self, xmin, xmax, ymin, ymax): super().__init__(np.zeros((1, 1), np.uint8)) self.bounds = QC.QRectF(QC.QPointF(xmin, ymin), QC.QPointF(xmax, ymax)) self.update_border() self.IMAX = 80 self.set_lut_range([0, self.IMAX]) # ---- QwtPlotItem API ------------------------------------------------------ def draw_image(self, painter, canvasRect, srcRect, dstRect, xMap, yMap): if self.warn_if_non_linear_scale(painter, canvasRect): return x1, y1, x2, y2 = canvasRect.toAlignedRect().getCoords() i1, j1, i2, j2 = srcRect NX = x2 - x1 NY = y2 - y1 if self.data.shape != (NX, NY): self.data = np.zeros((NY, NX), np.int16) mandelbrot(i1, j1, i2, j2, self.data, self.IMAX) srcRect = (0, 0, NX, NY) x1, y1, x2, y2 = canvasRect.toAlignedRect().getCoords() RawImageItem.draw_image( self, painter, canvasRect, srcRect, (x1, y1, x2, y2), xMap, yMap ) def create_mandelbrot_window(): """Create a Mandelbrot set window""" win = make.window( toolbar=True, wintitle="Mandelbrot", yreverse=False, type="image", ) mandel = MandelItem(-1.5, 0.5, -1.0, 1.0) fstool = win.manager.add_tool(FullScale, mandel) plot = win.get_plot() plot.set_aspect_ratio(lock=False) plot.add_item(mandel) return win, mandel, fstool def test_mandel(): """Test Mandelbrot set window""" with qt_app_context(exec_loop=True): win, _mandel, _fstool = create_mandelbrot_window() win.show() if __name__ == "__main__": test_mandel() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_pcolor.py000066400000000000000000000043161525747167300242530ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Test showing a pcolor plot""" # guitest: show from time import time import numpy as np from guidata.qthelpers import qt_app_context from plotpy._scaler import _scale_quads from plotpy.builder import make from plotpy.tests import vistools as ptv def polar_demo(N=300): r = np.linspace(1.0, 16, N) th = np.linspace(0.0, np.pi, N) R, TH = np.meshgrid(r, th) X = R * np.cos(TH) Y = R * np.sin(TH) Z = 4 * TH + R + np.random.randint(-8, 8, size=(N, N)) ix = np.random.randint(N, size=(N // 20,)) iy = np.random.randint(N, size=(N // 20,)) Z[ix, iy] = np.nan return X, Y, Z def compute_quads(N=300): X, Y, Z = polar_demo(N) item = make.pcolor(X, Y, Z) return [item] def compute_quads2(N=4): x = np.linspace(0, N - 1, N) X, Y = np.meshgrid(x, x) Z = X**2 + Y**2 Z = Z.reshape((8, 2)) item = make.pcolor(Z) # checks if X, Y are properly generated in make.pcolor return [item] def compute_quads3(): pi = np.pi cos = np.cos sin = np.sin items = [] for i, t in enumerate(np.linspace(0, 2 * pi, 16)): X = np.array([[0.0, cos(t)], [-sin(t), cos(t) - sin(t)]]) Y = np.array([[0.0, sin(t)], [cos(t), sin(t) + cos(t)]]) Z = np.array([[1.0, 2.0], [3.0, 4.0]]) item = make.pcolor(X - 16 + 2 * i, Y - 3, Z) items.append(item) return items def test_pcolor(): """Testing pcolor""" with qt_app_context(exec_loop=True): items = compute_quads() + compute_quads3() _win = ptv.show_items(items, plot_type="image", wintitle=test_pcolor.__doc__) def test_valgrind(K=20): X, Y, Z = polar_demo() lut = (1.0, 0.0, None, np.zeros((1024,), np.uint32)) offscreen = np.zeros((1200, 1920), np.uint32) border = 1 interpolate = (0, 0.5, 0.5) src_rect = (X.min(), Y.min(), X.max(), Y.max()) dst_rect = (0, 0, 1920, 1200) t0 = time() for _count in range(K): _scale_quads(X, Y, Z, src_rect, offscreen, dst_rect, lut, interpolate, border) print((time() - t0) / K, " secs per loop") if __name__ == "__main__": test_pcolor() test_valgrind(K=200) PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_polygons.py000066400000000000000000000043411525747167300246250ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """PolygonMapItem test PolygonMapItem is intended to display maps ie items containing several hundreds of independent polygons. """ # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from plotpy.items import PolygonMapItem from plotpy.plot import PlotDialog, PlotOptions # Create a sample dataset consisting of tesselated circles randomly placed # in a box RMAX = 0.5 XMAX = YMAX = 10.0 NSEGMIN = 4 NSEGMAX = 300 def create_circle(): x, y, rmax = np.random.rand(3) rmax *= RMAX x *= XMAX y *= YMAX nseg = np.random.randint(NSEGMIN, NSEGMAX) th = np.linspace(0, 2 * np.pi, nseg) PTS = np.empty((nseg, 2), float) PTS[:, 0] = x + rmax * np.cos(th) PTS[:, 1] = y + rmax * np.sin(th) return PTS NCIRC = 1000 COLORS = [ (0xFF000000, 0x8000FF00), (0xFF0000FF, 0x800000FF), (0xFF000000, 0x80FF0000), (0xFF00FF00, 0x80000000), ] def test_polygons(): """Test""" with qt_app_context(exec_loop=True): win = PlotDialog( edit=True, toolbar=True, title="Sample multi-polygon item", options=PlotOptions(show_itemlist=True), ) plot = win.manager.get_plot() plot.set_aspect_ratio(lock=True) plot.set_antialiasing(False) plot.set_axis_direction("left", False) plot.set_axis_title("bottom", "Lon") plot.set_axis_title("left", "Lat") points = [] offsets = np.zeros((NCIRC, 2), np.int32) colors = np.zeros((NCIRC, 2), np.uint32) npts = 0 for k in range(NCIRC): pts = create_circle() offsets[k, 0] = k offsets[k, 1] = npts npts += pts.shape[0] points.append(pts) colors[k, 0] = COLORS[k % len(COLORS)][0] colors[k, 1] = COLORS[(3 * k) % len(COLORS)][1] points = np.concatenate(points) print(NCIRC, "Polygons") print(points.shape[0], "Points") crv = PolygonMapItem() crv.set_data(points, offsets, colors) plot.add_item(crv, z=0) win.show() if __name__ == "__main__": test_polygons() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_svgshapes.py000066400000000000000000000015241525747167300247560ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Test showing SVG shapes""" # guitest: show from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import get_path from plotpy.tests import vistools as ptv def test_svg(): """Test showing SVG shapes""" with qt_app_context(exec_loop=True): path1, path2 = get_path("svg_tool.svg"), get_path("svg_target.svg") csvg = make.svg("circle", path2, 0, 0, 100, 100, "Circle") rsvg = make.svg("rectangle", path1, 150, 0, 200, 100, "Rect") ssvg = make.svg("square", path1, 0, 150, 100, 250, "Square") items = [csvg, rsvg, ssvg] _win = ptv.show_items(items, wintitle=test_svg.__doc__, lock_aspect_ratio=True) if __name__ == "__main__": test_svg() PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_to_bins.py000066400000000000000000000036201525747167300244070ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Test for to_bins function used in XYImageItem""" import numpy as np from plotpy.items.image.filter import to_bins def test_to_bins_single_element(): """Test to_bins with a single-element array. This is a regression test for the bug where loading an image with only 1 row (e.g., SIF files with shape (1, N)) caused an IndexError because to_bins assumed at least 2 elements to compute bin edges. """ x = np.array([5.0]) result = to_bins(x) # Should return 2 bin edges, centered around the single point assert len(result) == 2 assert result[0] == 4.5 # x[0] - 0.5 assert result[1] == 5.5 # x[0] + 0.5 def test_to_bins_two_elements(): """Test to_bins with a two-element array.""" x = np.array([1.0, 3.0]) result = to_bins(x) # Should return 3 bin edges assert len(result) == 3 np.testing.assert_allclose(result, [0.0, 2.0, 4.0]) def test_to_bins_multiple_elements(): """Test to_bins with multiple elements (uniform spacing).""" x = np.array([1.0, 2.0, 3.0, 4.0]) result = to_bins(x) # Should return 5 bin edges assert len(result) == 5 np.testing.assert_allclose(result, [0.5, 1.5, 2.5, 3.5, 4.5]) def test_to_bins_non_uniform_spacing(): """Test to_bins with non-uniform spacing.""" x = np.array([0.0, 1.0, 4.0]) result = to_bins(x) # Should return 4 bin edges # First edge: 0.0 - (1.0 - 0.0) / 2 = -0.5 # Middle: (0.0 + 1.0) / 2 = 0.5, (1.0 + 4.0) / 2 = 2.5 # Last edge: 4.0 + (4.0 - 1.0) / 2 = 5.5 assert len(result) == 4 np.testing.assert_allclose(result, [-0.5, 0.5, 2.5, 5.5]) if __name__ == "__main__": test_to_bins_single_element() test_to_bins_two_elements() test_to_bins_multiple_elements() test_to_bins_non_uniform_spacing() print("All tests passed!") PlotPyStack-PlotPy-2af0906/plotpy/tests/items/test_transform.py000066400000000000000000000136251525747167300247730ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Tests around image transforms: rotation, translation, ...""" # guitest: show from __future__ import annotations import os import numpy as np import pytest from guidata.env import execenv from guidata.qthelpers import qt_app_context from qtpy import QtCore as QC from qtpy import QtGui as QG from plotpy import io from plotpy.builder import make from plotpy.constants import LUTAlpha from plotpy.items import TrImageItem, assemble_imageitems from plotpy.tests import vistools as ptv from plotpy.tests.data import gen_image4 DEFAULT_CHARS = "".join([chr(c) for c in range(32, 256)]) def get_font_array(sz: int, chars: str = DEFAULT_CHARS) -> np.ndarray | None: """Return array of font characters Args: sz: Font size chars: Characters to include (default: all printable characters) Returns: Array of font characters """ font = QG.QFont() font.setFixedPitch(True) font.setPixelSize(sz) font.setStyleStrategy(QG.QFont.NoAntialias) dummy = QG.QImage(10, 10, QG.QImage.Format_ARGB32) pnt = QG.QPainter(dummy) pnt.setFont(font) metric = pnt.fontMetrics() rct = metric.boundingRect(chars) pnt.end() h, w = rct.height(), rct.width() img = QG.QImage(w, h, QG.QImage.Format_ARGB32) paint = QG.QPainter() paint.begin(img) paint.setFont(font) paint.setBrush(QG.QColor(255, 255, 255)) paint.setPen(QG.QColor(255, 255, 255)) paint.drawRect(0, 0, w + 1, h + 1) paint.setPen(QG.QColor(0, 0, 0)) paint.setBrush(QG.QColor(0, 0, 0)) paint.drawText(0, paint.fontMetrics().ascent(), chars) paint.end() try: data = img.bits().asstring(h * w * 4) except AttributeError: data = img.bits() npy: np.ndarray = np.frombuffer(data, np.uint8) return npy.reshape(h, w, 4)[:, :, 0] def write_text_on_array( data: np.ndarray, x: int, y: int, sz: int, txt: str, range: tuple[int, int] | None = None, ) -> None: """Write text in image (in-place) Args: data: Image data x: X-coordinate of top-left corner y: Y-coordinate of top-left corner sz: Font size txt: Text to write range: Range of values to map to 0-255 (default: None) """ arr = get_font_array(sz, txt) if arr is None: return if range is None: m, M = data.min(), data.max() else: m, M = range z = (float(M) - float(m)) * np.array(arr, float) / 255.0 + m arr = np.array(z, data.dtype) dy, dx = arr.shape data[y : y + dy, x : x + dx] = arr def make_items(N: int) -> list[TrImageItem]: """Make test TrImageItem items Args: N: Image size (N x N) Returns: List of image items """ data = gen_image4(N, N) m = data.min() M = data.max() items = [make.trimage(data, alpha_function=LUTAlpha.LINEAR, colormap="jet")] for dtype in (np.uint8, np.uint16, np.int8, np.int16): info = np.iinfo(dtype().dtype) # pylint: disable=no-value-for-parameter s = float((info.max - info.min)) a1 = s * (data - m) / (M - m) img = np.array(a1 + info.min, dtype) write_text_on_array(img, 0, 0, int(N / 15.0), dtype.__name__) items.append(make.trimage(img, colormap="jet")) nc = int(np.sqrt(len(items)) + 1.0) maxy, x, y = 0, 0, 0 w = None for index, item in enumerate(items): h = item.boundingRect().height() if index % nc == 0: x = 0 y += maxy maxy = h else: x += w maxy = max(maxy, h) w = item.boundingRect().width() item.set_transform(x, y, 0.0) # item.set_selectable(False) return items def save_image(name: str, data: np.ndarray) -> None: """Save image to file Args: name: Base name of file data: Image data """ for fname in (name + ".u16.tif", name + ".u8.png"): if os.path.exists(fname): os.remove(fname) size = int(data.nbytes / 1024.0) print(f"Saving image: {data.shape[0]} x {data.shape[1]} ({size} KB):") print(" --> uint16") io.imwrite(name + ".u16.tif", data, dtype=np.uint16, max_range=True) print(" --> uint8") io.imwrite(name + ".u8.png", data, dtype=np.uint8, max_range=True) def get_bbox(items: list[TrImageItem]) -> QC.QRectF: """Get bounding box of items Args: items: List of image items Returns: Bounding box of items """ rectf = QC.QRectF() for item in items: rectf = rectf.united(item.boundingRect()) return rectf def build_image(items: list[TrImageItem]) -> None: """Build image from items Args: items: List of image items """ r = get_bbox(items) _x, _y, w, h = r.getRect() print("-" * 80) print(f"Assemble test1: {int(w)} x {int(h)}") dest = assemble_imageitems(items, r, w, h) if not execenv.unattended: save_image("test1", dest) print("-" * 80) print(f"Assemble test1: {int(w / 4)} x {int(h / 4)}") dest = assemble_imageitems(items, r, w / 4, h / 4) if not execenv.unattended: save_image("test2", dest) print("-" * 80) @pytest.mark.parametrize("N", [500]) @pytest.mark.parametrize("assemble_images", [False, True]) def test_transform(N: int, assemble_images: bool) -> None: """Test image transforms Args: N: Image size (N x N) assemble_images: If True, assemble images (default: False) """ with qt_app_context(exec_loop=True): items = make_items(N) _win = ptv.show_items( items, wintitle="Transform test ({}x{} images)".format(N, N), plot_type="image", show_itemlist=True, winsize=(1000, 600), ) if assemble_images: build_image(items) if __name__ == "__main__": test_transform(N=500, assemble_images=True) PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/000077500000000000000000000000001525747167300213575ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/__init__.py000066400000000000000000000000001525747167300234560ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_actiontool.py000066400000000000000000000026411525747167300251460ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ActionTool test""" # guitest: show from guidata.qthelpers import create_action, qt_app_context from qtpy import QtWidgets as QW from plotpy.builder import make from plotpy.items import ImageItem from plotpy.plot import PlotDialog, PlotOptions from plotpy.tests.data import gen_image4 from plotpy.tools import ActionTool class MyPlotDialog(PlotDialog): def __init__(self): """Reimplement PlotDialog method""" super().__init__( title="ActionTool test", toolbar=True, options=PlotOptions(type="image") ) self.info_action = create_action(self, "Show info", triggered=self.show_info) self.manager.add_tool(ActionTool, self.info_action, item_types=(ImageItem,)) def show_info(self): """Show info on selected item(s)""" # This is just a demo of what can be done with ActionTool plot = self.get_plot() for item in plot.get_selected_items(): QW.QMessageBox.information(self, "Item info", str(item)) def test_image_plot_tools(): """Test""" with qt_app_context(exec_loop=True): win = MyPlotDialog() win.show() image = make.image(gen_image4(500, 500), colormap="Spectral") plot = win.manager.get_plot() plot.add_item(image) if __name__ == "__main__": test_image_plot_tools() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_cross_section.py000066400000000000000000000021221525747167300256420ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Renders a cross section chosen by a cross marker""" # guitest: show import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import get_path def create_window(): win = make.dialog( edit=False, toolbar=True, wintitle="Cross sections test", show_xsection=True, show_ysection=True, type="image", size=(640, 600), ) return win def test_cross_section(): """Test cross section""" with qt_app_context(exec_loop=True): filename = get_path("brain.png") win = create_window() win.show() image = make.image(filename=filename, colormap="bone") data2 = np.array(image.data.T[200:], copy=True) image2 = make.image(data2, title="Modified", alpha_function="linear") plot = win.manager.get_plot() plot.add_item(image) plot.add_item(image2, z=1) if __name__ == "__main__": test_cross_section() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_cross_section_line.py000066400000000000000000000045211525747167300266560ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Line cross section test""" # guitest: show from __future__ import annotations from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.panels.csection.cswidget import CrossSectionWidget, LineCrossSection from plotpy.plot import PlotDialog, PlotOptions from plotpy.tests import get_path from plotpy.tools import ImageMaskTool, LCSPanelTool, LineCrossSectionTool class BaseCSImageDialog(PlotDialog): """Base cross section test This class is used to test the LineCrossSection and ObliqueCrossSection """ TOOLCLASSES = () PANELCLASS = CrossSectionWidget # to be overridden by subclasses def __init__(self, parent=None, toolbar=True, title=None, options=None): super().__init__( parent=parent, toolbar=toolbar, title=title, options=options, auto_tools=True, ) for tool in self.TOOLCLASSES: self.manager.add_tool(tool) def populate_plot_layout(self): """Populate the plot layout""" super().populate_plot_layout() cs_panel = self.PANELCLASS(self) splitter = self.plot_widget.xcsw_splitter splitter.addWidget(cs_panel) splitter.setSizes([0, 1, 0]) self.manager.add_panel(cs_panel) class LCSImageDialog(BaseCSImageDialog): """Line cross section test""" TOOLCLASSES = (LineCrossSectionTool, LCSPanelTool, ImageMaskTool) PANELCLASS = LineCrossSection def generic_cross_section_dialog(title, dialogclass): """Generic function used to test the cross section tools""" with qt_app_context(exec_loop=True): win = dialogclass( toolbar=True, title=title, options=PlotOptions(type="image"), ) win.resize(600, 600) filename = get_path("brain_cylinder.png") image = make.maskedimage(filename=filename, colormap="bone") plot = win.manager.get_plot() plot.add_item(image) plot.set_active_item(image) image.unselect() win.show() def test_cross_section_line(): """Test cross section oblique""" generic_cross_section_dialog("Line cross section test", LCSImageDialog) if __name__ == "__main__": test_cross_section_line() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_cross_section_oblique.py000066400000000000000000000020451525747167300273660ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Oblique averaged cross section test""" # guitest: show from __future__ import annotations from plotpy.panels.csection.csitem import ObliqueCrossSectionItem from plotpy.panels.csection.cswidget import ObliqueCrossSection from plotpy.tests.tools import test_cross_section_line from plotpy.tools import ImageMaskTool, ObliqueCrossSectionTool, OCSPanelTool # debug mode shows the ROI in the top-left corner of the image plot: ObliqueCrossSectionItem.DEBUG = False class OCSImageDialog(test_cross_section_line.BaseCSImageDialog): """Oblique averaged cross section test""" TOOLCLASSES = (ObliqueCrossSectionTool, OCSPanelTool, ImageMaskTool) PANELCLASS = ObliqueCrossSection def test_cross_section_oblique(): """Test cross section oblique""" test_cross_section_line.generic_cross_section_dialog( "Oblique averaged cross section test", OCSImageDialog ) if __name__ == "__main__": test_cross_section_oblique() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_customize_shape_tool.py000066400000000000000000000033321525747167300272300ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Shows how to customize a shape created with a tool like RectangleTool""" # guitest: show from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.constants import LUTAlpha from plotpy.styles import style_generator, update_style_attr from plotpy.tests import get_path from plotpy.tools import ( EllipseTool, MultiLineTool, PolygonTool, RectangleTool, SegmentTool, ) STYLE = style_generator() def customize_shape(shape): global STYLE param = shape.shapeparam style = next(STYLE) update_style_attr(style, param) param.update_item(shape) shape.plot().replot() def create_window(): gridparam = make.gridparam( background="black", minor_enabled=(False, False), major_style=(":", "gray", 1) ) win = make.dialog( edit=False, toolbar=True, wintitle="All image and plot tools test", gridparam=gridparam, type="image", size=(800, 600), ) for toolklass in ( RectangleTool, EllipseTool, SegmentTool, MultiLineTool, PolygonTool, ): win.manager.add_tool(toolklass, handle_final_shape_cb=customize_shape) return win def test_customize_shape_tool(): """Test""" with qt_app_context(exec_loop=True): filename = get_path("brain.png") win = create_window() image = make.image( filename=filename, colormap="bone", alpha_function=LUTAlpha.LINEAR ) plot = win.manager.get_plot() plot.add_item(image) win.show() if __name__ == "__main__": test_customize_shape_tool() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_cyclic_import.py000066400000000000000000000015741525747167300256370ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Test cyclic import issue""" # pylint: disable=import-outside-toplevel # pylint: disable=unused-import def test_tools_cyclic_import(): """Test cyclic import issue""" # Importing one tool from each module to check if there is a cyclic import issue from plotpy.tools import ( AnnotatedPointTool, # noqa: F401 AverageCrossSectionTool, # noqa: F401 CurveStatsTool, # noqa: F401 DoAutoscaleTool, # noqa: F401 ItemCenterTool, # noqa: F401 OpenImageTool, # noqa: F401 PointTool, # noqa: F401 PrintTool, # noqa: F401 RectangularActionTool, # noqa: F401 SelectTool, # noqa: F401 YRangeCursorTool, # noqa: F401 ) if __name__ == "__main__": test_tools_cyclic_import() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_downsample_curve.py000066400000000000000000000031661525747167300263530ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ DownSampleCurveTool test This plotpy tool provides a toggle to downsample the current curve with a given factor. """ # guitest: show from __future__ import annotations from guidata.qthelpers import exec_dialog, qt_app_context from numpy import linspace, sin from plotpy.builder import make from plotpy.config import _ def edit_downsampled_curve( cdata: tuple[tuple[float, float], ...], dsamp_factor: int ) -> None: """ Plot curves and return selected point(s) coordinates Args: cdata: tuple of curves to plot dsamp_factor: downsampling factor """ win = make.dialog( wintitle=_("Right-click on the curve to enable/disable downsampling"), edit=True, type="curve", size=(800, 600), ) plot = win.manager.get_plot() for cx, cy in cdata[:-1]: item = make.mcurve(cx, cy) plot.add_item(item) item = make.mcurve(*cdata[-1], "r-+", dsamp_factor=dsamp_factor, use_dsamp=True) plot.add_item(item) plot.set_active_item(item) plot.unselect_item(item) exec_dialog(win) def test_edit_curve(): """Test""" with qt_app_context(exec_loop=False): nlines = 1000 x = linspace(-10, 10, num=nlines) y = 0.25 * sin(sin(sin(x * 0.5))) x2 = linspace(-10, 10, num=nlines) y2 = sin(sin(sin(x2))) cdata = ((x, y), (x2, y2), (x, sin(2 * y))) for dsamp_factor in (10, 50): edit_downsampled_curve(cdata, dsamp_factor) if __name__ == "__main__": test_edit_curve() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_edit_point.py000066400000000000000000000053461525747167300251360ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ EditPointTool test This plotpy tool can be used to edit (move and/or add points) to a curve. """ # guitest: show from __future__ import annotations import numpy as np from guidata.qthelpers import exec_dialog, qt_app_context from qtpy import QtWidgets as QW from plotpy.builder import make from plotpy.config import _ from plotpy.interfaces.items import ICurveItemType from plotpy.plot.plotwidget import PlotDialog from plotpy.tools import EditPointTool def callback_function(tool: EditPointTool): """Callback function to be called by the tool after a point has moved Args: tool: EditPointTool instance that will use this callback """ print("Indexed changes:", tool.get_changes()) def make_new_bbox(dialog: PlotDialog): """Add a new button to the dialog to insert a point at the current selection Args: dialog: PlotDialog instance """ if ( dialog.button_box is not None and dialog.button_layout is not None and (tool := dialog.manager.get_tool(EditPointTool)) is not None ): insert_btn = QW.QPushButton(_("Insert point"), dialog) insert_btn.clicked.connect(tool.trigger_insert_point_at_selection) dialog.button_layout.insertWidget(0, insert_btn) def edit_curve( cdata: tuple[tuple[float, float], ...], ) -> tuple[tuple[float, float], ...]: """ Plot curves and return selected point(s) coordinates Args: cdata: tuple of curves to plot Returns: tuple of modified curves """ win: PlotDialog = make.dialog( wintitle=_("Select one point then press OK to accept"), edit=True, type="curve", size=(800, 600), ) default = win.manager.add_tool( EditPointTool, title="Test", end_callback=callback_function, ) default.activate() plot = win.manager.get_plot() for cx, cy in cdata[:-1]: item = make.mcurve(cx, cy) plot.add_item(item) item = make.mcurve(*cdata[-1], "r-+") plot.add_item(item) plot.set_active_item(item) plot.unselect_item(item) make_new_bbox(win) exec_dialog(win) return [curve.get_data() for curve in plot.get_items(item_type=ICurveItemType)] def test_edit_curve() -> None: """Test""" with qt_app_context(): x = np.linspace(-10, 10, num=100) y = 0.25 * np.sin(np.sin(np.sin(x * 0.5))) x2 = np.linspace(-10, 10, num=100) y2 = np.sin(np.sin(np.sin(x2))) new_cdata = edit_curve(((x, y), (x2, y2), (x, np.sin(2 * y)))) edit_curve(new_cdata) print((y2 == new_cdata[1][1]).all()) if __name__ == "__main__": test_edit_curve() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_get_point.py000066400000000000000000000032601525747167300247610ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ SelectPointTool test This plotpy tool provide a MATLAB-like "ginput" feature. """ # guitest: show from __future__ import annotations from guidata.qthelpers import exec_dialog, qt_app_context from numpy import linspace, sin from plotpy.builder import make from plotpy.config import _ from plotpy.tools import SelectPointTool def callback_function(tool: SelectPointTool) -> None: print("Current coordinates:", tool.get_coordinates()) def get_point(cdata: tuple[tuple[float, float], ...]) -> None: """ Plot curves and return selected point(s) coordinates Args: cdata: A tuple of curves to plot """ win = make.dialog( wintitle=_("Select one point then press OK to accept"), edit=True, type="curve", size=(800, 600), ) default = win.manager.add_tool( SelectPointTool, title="Test", on_active_item=True, mode="reuse", end_callback=callback_function, ) default.activate() plot = win.manager.get_plot() for cx, cy in cdata[:-1]: item = make.mcurve(cx, cy) plot.add_item(item) item = make.mcurve(*cdata[-1], "r-+") plot.add_item(item) plot.set_active_item(item) plot.unselect_item(item) exec_dialog(win) def test_get_point(): """Test""" with qt_app_context(exec_loop=False): x = linspace(-10, 10, 200) y = 0.25 * sin(sin(sin(x * 0.5))) x2 = linspace(-10, 10, 200) y2 = sin(sin(sin(x2))) get_point(((x, y), (x2, y2), (x, sin(2 * y)))) if __name__ == "__main__": test_get_point() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_get_points.py000066400000000000000000000041551525747167300251500ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ SelectPointTool test This plotpy tool provide a MATLAB-like "ginput" feature. """ # guitest: show from __future__ import annotations from guidata.qthelpers import exec_dialog, qt_app_context from numpy import linspace, sin from plotpy.builder import make from plotpy.config import _ from plotpy.tools import SelectPointsTool def callback_function(tool: SelectPointsTool) -> None: """Callback function to be called by the tool after selection Args: tool: The tool instance that called the callback """ points = tool.get_coordinates() print("Points : ", points) def get_points(cdata: tuple[tuple[float, float], ...], max_select: int) -> None: """ Plot curves and return selected point(s) coordinates Args: cdata: A tuple of curves to plot """ win = make.dialog( wintitle=_( "Select up to %s points then press OK to accept " "(hold Ctrl to select multiple points)" ) % max_select, edit=True, type="curve", curve_antialiasing=True, size=(800, 600), ) default = win.manager.add_tool( SelectPointsTool, title="Test", on_active_item=True, mode="reuse", end_callback=callback_function, max_select=max_select, ) default.activate() plot = win.manager.get_plot() for cx, cy in cdata[:-1]: item = make.mcurve(cx, cy) plot.add_item(item) # the last curve will be actibe and needs to have a different style for explictness item = make.mcurve(*cdata[-1], "r-+") plot.add_item(item) plot.set_active_item(item) plot.unselect_item(item) exec_dialog(win) def test_get_point(): """Test""" with qt_app_context(exec_loop=False): x = linspace(-10, 10, num=200) y = 0.25 * sin(sin(sin(x * 0.5))) x2 = linspace(-10, 10, 200) y2 = sin(sin(sin(x2))) get_points(((x, y), (x2, y2), (x, sin(2 * y))), max_select=5) if __name__ == "__main__": test_get_point() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_get_rectangle.py000066400000000000000000000020711525747167300255730ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # For licensing and distribution details, please read carefully xgrid/__init__.py """ Get rectangular selection from image """ # guitest: show import numpy as np from guidata.env import execenv from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests.tools.test_get_segment import SEG_AXES_COORDS, PatchedSelectDialog from plotpy.tools import RectangleTool from plotpy.widgets.selectdialog import select_with_shape_tool def test_get_rectangle(): """Test get_rectangle""" with qt_app_context(): image = make.image(data=np.random.rand(200, 200), colormap="gray") shape = select_with_shape_tool( None, RectangleTool, image, "Test", tooldialogclass=PatchedSelectDialog ) if shape is not None: rect = shape.get_rect() if execenv.unattended: assert [round(i) for i in list(rect)] == SEG_AXES_COORDS elif rect is not None: print("Area:", rect) if __name__ == "__main__": test_get_rectangle() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_get_rectangle_with_svg.py000066400000000000000000000032761525747167300275150ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # For licensing and distribution details, please read carefully xgrid/__init__.py """ Get rectangular selection from image with SVG shape """ # guitest: show from guidata.env import execenv from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import get_path from plotpy.tests.data import gen_image4 from plotpy.tests.tools.test_get_segment import SEG_AXES_COORDS, PatchedSelectDialog from plotpy.tools import RectangularShapeTool from plotpy.widgets.selectdialog import select_with_shape_tool class SVGToolExample(RectangularShapeTool): """Tool to select a rectangular area and create a pattern from it""" TITLE = "Pattern selection tool" ICON = "your_icon.svg" AVOID_NULL_SHAPE = True SVG_FNAME = get_path("svg_tool.svg") def create_shape(self): """Create shape to be drawn""" with open(self.SVG_FNAME, "rb") as svg_file: svg_data = svg_file.read() shape = make.svg("rectangle", svg_data, 0, 0, 1, 1, "SVG") self.set_shape_style(shape) return shape, 0, 2 def test_get_rectangle_with_svg(): """Test get_rectangle_with_svg""" with qt_app_context(): image = make.image(data=gen_image4(200, 200), colormap="gray") shape = select_with_shape_tool( None, SVGToolExample, image, "Test", tooldialogclass=PatchedSelectDialog ) if shape is not None: rect = shape.get_rect() if execenv.unattended: assert [round(i) for i in list(rect)] == SEG_AXES_COORDS elif rect is not None: print("Area:", rect) if __name__ == "__main__": test_get_rectangle_with_svg() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_get_segment.py000066400000000000000000000035431525747167300252760ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Test ``get_segment`` feature: select a segment on an image. This plotpy tool provide a MATLAB-like "ginput" feature. """ # guitest: show import numpy as np import qtpy.QtCore as QC from guidata.env import execenv from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.coords import axes_to_canvas from plotpy.tools import AnnotatedSegmentTool from plotpy.widgets.selectdialog import SelectDialog, select_with_shape_tool SEG_AXES_COORDS = [20, 20, 70, 70] class PatchedSelectDialog(SelectDialog): """Patched SelectDialog""" def set_image_and_tool(self, item, toolclass, **kwargs): """Reimplement SelectDialog method""" super().set_image_and_tool(item, toolclass, **kwargs) if execenv.unattended: self.show() self.sel_tool.add_shape_to_plot( self.manager.get_plot(), QC.QPointF(*axes_to_canvas(item, *SEG_AXES_COORDS[:2])), QC.QPointF(*axes_to_canvas(item, *SEG_AXES_COORDS[2:])), ) def test_get_segment(): """Test get_segment""" with qt_app_context(): image = make.image(data=np.random.rand(200, 200), colormap="gray") shape = select_with_shape_tool( None, AnnotatedSegmentTool, image, "Test", tooldialogclass=PatchedSelectDialog, ) if shape is not None: rect = shape.get_rect() if execenv.unattended: assert [round(i) for i in list(rect)] == SEG_AXES_COORDS elif rect is not None: distance = np.sqrt((rect[2] - rect[0]) ** 2 + (rect[3] - rect[1]) ** 2) print("Distance:", distance) if __name__ == "__main__": test_get_segment() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_image_plot_tools.py000066400000000000000000000044511525747167300263340ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """All image and plot tools test""" # guitest: show from guidata.qthelpers import qt_app_context from qtpy import QtWidgets as QW from plotpy.builder import make from plotpy.items import Marker from plotpy.tests import get_path from plotpy.tools import ( AnnotatedCircleTool, AnnotatedEllipseTool, AnnotatedObliqueRectangleTool, AnnotatedPointTool, AnnotatedPolygonTool, AnnotatedRectangleTool, AnnotatedSegmentTool, CircleTool, EllipseTool, HCursorTool, HRangeTool, LabelTool, MultiLineTool, ObliqueRectangleTool, PlaceAxesTool, PolygonTool, RectangleTool, SegmentTool, VCursorTool, XCursorTool, ) TOOLBAR_ID = "toolbar2" def create_window(): win = make.dialog( edit=False, toolbar=True, wintitle="All image and plot tools test", type="image", size=(800, 600), ) toolbar2 = QW.QToolBar() win.layout().addWidget(toolbar2) win.manager.add_toolbar(toolbar2, TOOLBAR_ID) for toolklass in ( LabelTool, HRangeTool, VCursorTool, HCursorTool, XCursorTool, SegmentTool, RectangleTool, ObliqueRectangleTool, CircleTool, EllipseTool, MultiLineTool, PolygonTool, PlaceAxesTool, AnnotatedRectangleTool, AnnotatedObliqueRectangleTool, AnnotatedCircleTool, AnnotatedEllipseTool, AnnotatedSegmentTool, AnnotatedPointTool, AnnotatedPolygonTool, ): win.manager.add_tool(toolklass, toolbar_id=TOOLBAR_ID) return win def test_image_plot_tools(): """Test""" with qt_app_context(exec_loop=True): filename = get_path("brain.png") win = create_window() win.show() image = make.image(filename=filename, colormap="bone") plot = win.manager.get_plot() plot.add_item(image) title = "toto" marker1 = Marker(label_cb=lambda x, y: f"{title}x = {x:g}
y = {y:g}") plot.add_item(marker1) marker2 = Marker(label_cb=lambda x, y: f"{title}x = {x:g}
y = {y:g}") plot.add_item(marker2) if __name__ == "__main__": test_image_plot_tools() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_stats_tools.py000066400000000000000000000132721525747167300253530ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Curve and Image Statistics tools tests""" # guitest: show from __future__ import annotations from typing import TYPE_CHECKING, Type import numpy as np from guidata.qthelpers import create_toolbutton, execenv, qt_app_context from plotpy.builder import make from plotpy.config import _ from plotpy.constants import PlotType from plotpy.plot import PlotDialog, PlotOptions from plotpy.tests.data import gen_image4 from plotpy.tests.unit.utils import drag_mouse from plotpy.tools import ( CurveStatsTool, ImageStatsTool, InteractiveTool, YRangeCursorTool, ) if TYPE_CHECKING: from plotpy.items.image.base import BaseImageItem from plotpy.styles import BaseImageParam class MyPlotDialog(PlotDialog): def __init__(self, type: PlotType, toolclass: Type[InteractiveTool]) -> None: """Reimplement PlotDialog method""" super().__init__( title=f"{type.name.lower().capitalize()} Statistics tools test", toolbar=True, options=PlotOptions(type=type), ) self.toolclass = toolclass # No need to add the tools to the manager, they are automatically added # when the `register_curve_tools` or `register_image_tools` method is called self.setup_items() if execenv.unattended: self.simulate_stats_tool() def populate_plot_layout(self) -> None: """Populate the plot layout""" super().populate_plot_layout() options = self.plot_widget.options btn = create_toolbutton( self, None, f"Simulate {options.type.name.lower()} statistics tool", self.simulate_stats_tool, ) self.add_widget(btn) def simulate_stats_tool(self) -> None: """Simulate the statistics tool""" tool = self.manager.get_tool(self.toolclass) tool.activate() drag_mouse(self, np.array([0.4, 0.8]), np.array([0.2, 0.7])) def setup_items(self) -> None: """Setup items""" plot = self.get_plot() if self.plot_widget.options.type is PlotType.CURVE: x = np.linspace(0, 10, 100) y = np.sin(x) item = make.curve(x, y, title="Curve") else: item = make.image(gen_image4(500, 500), title="Image", colormap="cool") plot.add_item(item) plot.select_item(item) def test_curve_x_stats_tools() -> None: """Test CurveStatsTool""" with qt_app_context(exec_loop=True): win = MyPlotDialog(type=PlotType.CURVE, toolclass=CurveStatsTool) tool = win.manager.get_tool(CurveStatsTool) labelfuncs = ( ("Mean = %g", lambda *args: np.mean(args[1])), ("Std = %g", lambda *args: np.std(args[1])), ("Max = %g", lambda *args: np.max(args[1])), ("Min = %g", lambda *args: np.min(args[1])), ) tool.set_labelfuncs(labelfuncs) win.show() def test_y_range_cursor_tool() -> None: """Test YRangeCursorTool""" with qt_app_context(exec_loop=True): win = MyPlotDialog(type=PlotType.CURVE, toolclass=YRangeCursorTool) tool = win.manager.get_tool(YRangeCursorTool) labelfuncs = ( ("Mean = %g", lambda *args: np.mean(args[1])), ("Std = %g", lambda *args: np.std(args[1])), ("Max = %g", lambda *args: np.max(args[1])), ("Min = %g", lambda *args: np.min(args[1])), ) tool.set_labelfuncs(labelfuncs) win.show() # Note: # ----- # # Using the following `get_more_stats` function, the `ImageStatsTool` will display # the surface, the sum and the density of the selected area - as additional stats # if the `replace` parameter is set to `False` (default value). # # This is the way of reimplementing the old `show_surface` and `show_integral` # arguments of the `ImageStatsTool` class in previous versions of PlotPy. def get_more_stats( item: BaseImageItem, x0: float, y0: float, x1: float, y1: float, ) -> str: """Return formatted string with stats on image rectangular area (output should be compatible with AnnotatedShape.get_info) Args: item: image item x0: X0 y0: Y0 x1: X1 y1: Y1 """ ix0, iy0, ix1, iy1 = item.get_closest_index_rect(x0, y0, x1, y1) data = item.data[iy0:iy1, ix0:ix1] p: BaseImageParam = item.param xunit, yunit, zunit = p.get_units() info = "" if xunit == yunit: surfacefmt = p.xformat.split()[0] + " " + xunit if xunit != "": surfacefmt = surfacefmt + "ยฒ" surface = abs((x1 - x0) * (y1 - y0)) info += _("surface = %s") % (surfacefmt % surface) integral = data.sum() integral_fmt = r"%.3e " + zunit info = info + "
" + _("sum = %s") % (integral_fmt % integral) if xunit == yunit and xunit is not None and zunit is not None: if surface != 0: density = integral / surface densityfmt = r"%.3e" if xunit and zunit: densityfmt += " " + zunit + "/" + xunit + "ยฒ" info = info + "
" + _("density = %s") % (densityfmt % density) else: info = info + "
" + _("density not computed : surface is null !") return info def test_image_stats_tools() -> None: """Test""" with qt_app_context(exec_loop=True): win = MyPlotDialog(type=PlotType.IMAGE, toolclass=ImageStatsTool) tool = win.manager.get_tool(ImageStatsTool) tool.set_stats_func(get_more_stats, replace=False) win.show() if __name__ == "__main__": test_curve_x_stats_tools() test_y_range_cursor_tool() test_image_stats_tools() PlotPyStack-PlotPy-2af0906/plotpy/tests/tools/test_zaxislog.py000066400000000000000000000031041525747167300246260ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Z-axis log scale tool test""" # guitest: show from __future__ import annotations import numpy as np from guidata.qthelpers import qt_app_context, qt_wait from plotpy.builder import make from plotpy.plot import PlotDialog, PlotOptions from plotpy.tests.data import gen_2d_gaussian from plotpy.tools import ZAxisLogTool class MyPlotDialog(PlotDialog): def __init__(self) -> None: """Reimplement PlotDialog method""" super().__init__( title="Z-axis log scale tool test", toolbar=True, options=PlotOptions(type="image"), ) # No need to add the tools to the manager, they are automatically added # when the `register_curve_tools` or `register_image_tools` method is called self.setup_items() def setup_items(self) -> None: """Setup items""" plot = self.get_plot() data = gen_2d_gaussian(512, np.uint16) item = make.image(data, title="Image", colormap="plasma") plot.add_item(item) plot.set_active_item(item) item.unselect() def test_zaxislogtool() -> None: """Test the Z-axis log scale tool""" with qt_app_context(exec_loop=True): win = MyPlotDialog() win.show() tool = win.manager.get_tool(ZAxisLogTool) qt_wait(1, except_unattended=True) for _index in range(2): tool.activate() qt_wait(1, except_unattended=True) if __name__ == "__main__": test_zaxislogtool() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/000077500000000000000000000000001525747167300211765ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/__init__.py000066400000000000000000000000001525747167300232750ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_annotation_tools.py000066400000000000000000000072621525747167300262100ustar00rootroot00000000000000from __future__ import annotations from typing import TYPE_CHECKING import numpy as np import pytest from guidata.qthelpers import exec_dialog, execenv, qt_app_context from plotpy.interfaces.items import IBasePlotItem, IShapeItemType from plotpy.tests import vistools as ptv from plotpy.tests.features.test_auto_curve_image import make_curve_image_legend from plotpy.tools import ( AnnotatedCircleTool, AnnotatedEllipseTool, AnnotatedObliqueRectangleTool, AnnotatedPointTool, AnnotatedPolygonTool, AnnotatedRectangleTool, AnnotatedSegmentTool, AverageCrossSectionTool, CircleTool, CrossSectionTool, EllipseTool, ImageStatsTool, InteractiveTool, LabelTool, ObliqueRectangleTool, PointTool, RectangleTool, SegmentTool, SelectTool, SnapshotTool, ) if TYPE_CHECKING: from plotpy.items.image.base import BaseImageItem from plotpy.plot.plotwidget import PlotWindow from plotpy.tests.unit.utils import drag_mouse, undo_redo TOOLS: tuple[type[InteractiveTool], ...] = ( AnnotatedCircleTool, AnnotatedEllipseTool, AnnotatedObliqueRectangleTool, AnnotatedPointTool, AnnotatedRectangleTool, AnnotatedSegmentTool, AnnotatedPolygonTool, AverageCrossSectionTool, CrossSectionTool, SnapshotTool, ImageStatsTool, CircleTool, EllipseTool, ObliqueRectangleTool, PointTool, RectangleTool, SegmentTool, LabelTool, ) def create_window(tool_classes: tuple[type[InteractiveTool], ...]) -> PlotWindow: """Create a window with the given tools. The plot contains a curve, an image and a legend. Args: tool_classes: tools to add to the window. Returns: PlotWindow: The window containing the tools. """ items = make_curve_image_legend() img: BaseImageItem = items[0] img.set_rotatable(True) img.set_movable(True) win = ptv.show_items( items, wintitle="Unit tests for RectangularActionTools", auto_tools=True ) for toolklass in tool_classes: _ = win.manager.add_tool(toolklass) assert len(tool_classes) > 0 return win def _test_annotation_tools(tool_classes: tuple[type[InteractiveTool], ...]): """Generic test for annotation tool. Simulates a mouse drag on the plot and checks that the tool is activated and deactivated correctly.""" with qt_app_context(exec_loop=False): win = create_window(tool_classes) win.show() plot = win.manager.get_plot() default_tool = win.manager.get_default_tool() for tool_class in tool_classes: tool = win.manager.get_tool(tool_class) assert tool is not None tool.activate() x_path = np.linspace(0, 0.5, 100) y_path = np.linspace(0, 0.5, 100) with execenv.context(accept_dialogs=True): drag_mouse(win, x_path, y_path) if hasattr(tool_class, "SWITCH_TO_DEFAULT_TOOL"): assert win.manager.get_default_tool() == default_tool plot.unselect_all() shape_items: list[IBasePlotItem] = plot.get_items(item_type=IShapeItemType) plot.select_some_items(shape_items) select_tool = win.manager.get_tool(SelectTool) assert select_tool is not None select_tool.activate() drag_mouse(win, np.linspace(0.2, 0.5, 10), np.linspace(0.2, 0.5, 10)) undo_redo(win) exec_dialog(win) @pytest.mark.parametrize("tool", TOOLS) def test_tool(tool: type[InteractiveTool]) -> None: """Test a single tool.""" _test_annotation_tools((tool,)) def _test_all_tools(): """Test all tools.""" _test_annotation_tools(TOOLS) if __name__ == "__main__": _test_all_tools() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_arrayfuncs.py000066400000000000000000000030531525747167300247650ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Unit tests for ``plotpy.mathutils.arrayfuncs``.""" from __future__ import annotations import numpy as np from plotpy.mathutils import arrayfuncs def test_get_nan_min_max_empty_float() -> None: """Empty float arrays must not raise and should return NaN.""" empty = np.array([], dtype=np.float64) assert np.isnan(arrayfuncs.get_nan_min(empty)) assert np.isnan(arrayfuncs.get_nan_max(empty)) rng = arrayfuncs.get_nan_range(empty) assert np.isnan(rng[0]) and np.isnan(rng[1]) def test_get_nan_min_max_empty_integer() -> None: """Empty integer arrays must not raise and should return NaN.""" empty = np.array([], dtype=np.int32) assert np.isnan(arrayfuncs.get_nan_min(empty)) assert np.isnan(arrayfuncs.get_nan_max(empty)) def test_get_nan_min_max_all_nan() -> None: """All-NaN float arrays must not raise and should return NaN.""" data = np.array([np.nan, np.nan, np.nan], dtype=np.float64) assert np.isnan(arrayfuncs.get_nan_min(data)) assert np.isnan(arrayfuncs.get_nan_max(data)) def test_get_nan_min_max_regular() -> None: """Regression test: regular arrays still work.""" data = np.array([3.0, 1.0, np.nan, 4.0, 2.0]) assert arrayfuncs.get_nan_min(data) == 1.0 assert arrayfuncs.get_nan_max(data) == 4.0 if __name__ == "__main__": test_get_nan_min_max_empty_float() test_get_nan_min_max_empty_integer() test_get_nan_min_max_all_nan() test_get_nan_min_max_regular() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_aspect_ratio_tool.py000066400000000000000000000021001525747167300263120ustar00rootroot00000000000000from __future__ import annotations from guidata.qthelpers import exec_dialog, qt_app_context from plotpy.interfaces.items import IImageItemType from plotpy.tests.unit.utils import create_window from plotpy.tools import AspectRatioTool def test_aspect_ratio_tool(): """Test the aspect ratio tool.""" with qt_app_context(exec_loop=False): win, tool = create_window(AspectRatioTool, active_item_type=IImageItemType) plot = win.manager.get_plot() initial_aspect_ratio: float = plot.get_aspect_ratio() new_ratio = 0.5 plot.set_aspect_ratio(new_ratio) tool.edit_aspect_ratio() assert plot.get_aspect_ratio() == new_ratio plot.set_aspect_ratio(initial_aspect_ratio) tool.edit_aspect_ratio() assert plot.get_aspect_ratio() == initial_aspect_ratio tool.lock_aspect_ratio(True) assert plot.lock_aspect_ratio is True tool.lock_aspect_ratio(False) assert plot.lock_aspect_ratio is False exec_dialog(win) if __name__ == "__main__": test_aspect_ratio_tool() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_autoscale_strategy.py000066400000000000000000000077711525747167300265250ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Testing per-axis autoscale strategy.""" # guitest: skip from __future__ import annotations import numpy as np import pytest from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.constants import AXIS_IDS, X_BOTTOM, Y_LEFT from plotpy.tests import vistools as ptv def _make_plot(): """Create a plot widget with a single curve item.""" x = np.linspace(0.0, 10.0, 11) y = np.linspace(-5.0, 5.0, 11) items = [make.curve(x, y, color="b")] win = ptv.show_items(items, wintitle="autoscale-strategy-test", auto_tools=False) return win, win.get_plot() def test_default_strategy_is_auto(): """All axes default to the 'auto' strategy.""" with qt_app_context(exec_loop=False): _win, plot = _make_plot() for axis_id in AXIS_IDS: assert plot.get_axis_autoscale_strategy(axis_id) == ("auto", None, None) def test_set_get_strategy_round_trip(): """`set_axis_autoscale_strategy` round-trips through the getter.""" with qt_app_context(exec_loop=False): _win, plot = _make_plot() plot.set_axis_autoscale_strategy(X_BOTTOM, "fixed", vmin=1.5, vmax=8.5) assert plot.get_axis_autoscale_strategy(X_BOTTOM) == ("fixed", 1.5, 8.5) plot.set_axis_autoscale_strategy(Y_LEFT, "none") assert plot.get_axis_autoscale_strategy(Y_LEFT) == ("none", None, None) def test_invalid_strategy_raises(): """Unknown strategies are rejected.""" with qt_app_context(exec_loop=False): _win, plot = _make_plot() with pytest.raises(ValueError): plot.set_axis_autoscale_strategy(X_BOTTOM, "bogus") def test_strategy_none_keeps_limits(): """An axis with strategy 'none' is left untouched by `do_autoscale`.""" with qt_app_context(exec_loop=False): _win, plot = _make_plot() plot.set_axis_limits(X_BOTTOM, -42.0, 42.0) plot.set_axis_autoscale_strategy(X_BOTTOM, "none") plot.do_autoscale(replot=False) vmin, vmax = plot.get_axis_limits(X_BOTTOM) assert vmin == -42.0 assert vmax == 42.0 def test_strategy_fixed_applies_bounds(): """An axis with strategy 'fixed' is set to the configured vmin/vmax.""" with qt_app_context(exec_loop=False): _win, plot = _make_plot() plot.set_axis_autoscale_strategy(Y_LEFT, "fixed", vmin=-100.0, vmax=100.0) plot.do_autoscale(replot=False) vmin, vmax = plot.get_axis_limits(Y_LEFT) assert vmin == -100.0 assert vmax == 100.0 def test_strategy_auto_uses_item_bounds(): """An axis with strategy 'auto' covers the items' bounding rect.""" with qt_app_context(exec_loop=False): _win, plot = _make_plot() plot.do_autoscale(replot=False) vmin, vmax = plot.get_axis_limits(X_BOTTOM) # Curve x-range is [0, 10]; auto strategy adds a margin so bounds are wider. assert vmin <= 0.0 assert vmax >= 10.0 def test_explicit_axis_id_honors_none(): """`do_autoscale(axis_id=...)` honors the 'none' strategy.""" with qt_app_context(exec_loop=False): _win, plot = _make_plot() plot.set_axis_limits(X_BOTTOM, -7.0, 7.0) plot.set_axis_autoscale_strategy(X_BOTTOM, "none") plot.do_autoscale(replot=False, axis_id=X_BOTTOM) vmin, vmax = plot.get_axis_limits(X_BOTTOM) assert vmin == -7.0 assert vmax == 7.0 def test_disabled_axis_is_inert(): """A disabled axis is ignored even when its strategy is 'fixed'.""" with qt_app_context(exec_loop=False): _win, plot = _make_plot() from plotpy.constants import X_TOP assert not plot.axisEnabled(X_TOP) plot.set_axis_autoscale_strategy(X_TOP, "fixed", vmin=-1.0, vmax=1.0) # Should not raise nor mutate the disabled axis state. plot.do_autoscale(replot=False) plot.do_autoscale(replot=False, axis_id=X_TOP) if __name__ == "__main__": pytest.main([__file__, "-v"]) PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_baseplot.py000066400000000000000000000040631525747167300244230ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Testing BasePlot API""" # guitest: show import os from guidata.qthelpers import qt_app_context from qtpy import QtCore as QC from qtpy import QtWidgets as QW from plotpy.tests import vistools as ptv from plotpy.tests.features.test_auto_curve_image import make_curve_image_legend from plotpy.tools.curve import EditPointTool, SelectPointsTool def test_baseplot_api(): """Testing BasePlot API""" with qt_app_context(exec_loop=True): items = make_curve_image_legend() win = ptv.show_items(items, wintitle=test_baseplot_api.__doc__) plot = win.get_plot() plot.manager.add_tool(SelectPointsTool) plot.manager.add_tool(EditPointTool) plot.get_default_item() title = "Test title" plot.set_title(title) assert plot.get_title() == title unit = "Test unit" plot.set_axis_unit("left", unit) assert plot.get_axis_unit("left") == unit plot.set_axis_ticks("left", 10, 10) plot.set_scales("lin", "lin") plot.enable_used_axes() plot.disable_unused_axes() plot.copy_to_clipboard() QW.QApplication.processEvents() fname = f"{test_baseplot_api.__name__}.pdf" plot.save_widget(fname) os.remove(fname) plot.hide_items(items) plot.show_items(items) plot.select_all() plot.move_up([items[0]]) plot.move_down([items[0]]) plot.unselect_item(items[0]) plot.select_some_items(items) plot.unselect_all() plot.get_nearest_object(QC.QPointF(0, 0)) plot.get_nearest_object_in_z(QC.QPointF(0, 0)) plot.get_context_menu() plot.select_all() plot.edit_plot_parameters("item") plot.edit_axis_parameters(plot.yLeft) plot.set_titles( "Test title", "Test x title", "Test y title", "Test x unit", "Test y unit" ) plot.notify_colormap_changed() if __name__ == "__main__": test_baseplot_api() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_builder_annotation.py000066400000000000000000000062631525747167300264760ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Test PlotBuilder annotation factory methods""" import numpy as np import pytest from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests.unit.test_builder_curve import show_items_qtbot DEFAULT_ARGS = { make.annotated_point: [0.0, 0.0], make.annotated_segment: [0.0, 0.0, 1.0, 1.0], make.annotated_rectangle: [0.0, 0.0, 1.0, 1.0], make.annotated_circle: [0.0, 0.0, 1.0, 1.0], make.annotated_ellipse: [0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0, 1.0], make.annotated_polygon: np.array( [ [150.0, 330.0], [270.0, 520.0], [470.0, 480.0], [520.0, 360.0], [460.0, 200.0], [250.0, 240.0], ] ), } def _make_annotation( method, title: str = None, subtitle: str = None, show_label: bool = None, show_computations: bool = None, show_subtitle: bool = None, format: str = None, uncertainty: float = None, transform_matrix: np.ndarray = None, readonly: bool = None, private: bool = None, ): """Make annotation""" args = DEFAULT_ARGS[method] kwargs = dict( title=title, subtitle=subtitle, show_label=show_label, show_computations=show_computations, show_subtitle=show_subtitle, format=format, uncertainty=uncertainty, transform_matrix=transform_matrix, readonly=readonly, private=private, ) if isinstance(args, np.ndarray): return method(args, **kwargs) return method(*args, **kwargs) @pytest.mark.parametrize( "method", [ make.annotated_point, make.annotated_segment, make.annotated_rectangle, make.annotated_circle, make.annotated_ellipse, make.annotated_polygon, ], ) def test_builder_annotation_params(method): """Test PlotBuilder annotation factory method parameters""" with qt_app_context(exec_loop=False): items = [] for show_label in [True, False]: items.append( _make_annotation( method, title="title", subtitle="subtitle", show_label=show_label, ) ) for show_computations in [True, False]: items.append(_make_annotation(method, show_computations=show_computations)) for show_subtitle in [True, False]: items.append(_make_annotation(method, show_subtitle=show_subtitle)) for format in ["%f", "%e"]: items.append(_make_annotation(method, format=format)) for uncertainty in [0.0, 1.0]: items.append(_make_annotation(method, uncertainty=uncertainty)) for transform_matrix in [None, np.identity(3)]: items.append(_make_annotation(method, transform_matrix=transform_matrix)) for readonly in [True, False]: items.append(_make_annotation(method, readonly=readonly)) for private in [True, False]: items.append(_make_annotation(method, private=private)) show_items_qtbot(items) PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_builder_curve.py000066400000000000000000000146101525747167300254430ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Test PlotBuilder.curve parameters""" import numpy as np import pytest from guidata.qthelpers import exec_dialog, qt_app_context from qtpy.QtCore import Qt from qwt import QwtPlotCurve from plotpy.builder import make def show_items_qtbot(items, type="curve"): """Plot curve in a dialog""" win = make.dialog(type=type) plot = win.manager.get_plot() for item in items: plot.add_item(item) exec_dialog(win) _COLOR_TO_HEX = {"red": "#ff0000", "blue": "#0000ff"} def _make_curve_style(shade, curvestyle, baseline): """Make curve with curve style parameters""" x = np.linspace(-10, 10, 200) y = np.sin(x) curve = make.curve(x, y, shade=shade, curvestyle=curvestyle, baseline=baseline) assert curve.baseline() == baseline brush = curve.brush() assert brush.color().alphaF() == pytest.approx(shade) assert curve.style() == getattr(QwtPlotCurve, curvestyle) return curve @pytest.mark.parametrize("shade", [0]) @pytest.mark.parametrize("curvestyle", ["Lines", "Sticks", "Steps", "Dots", "NoCurve"]) @pytest.mark.parametrize("baseline", [0.0]) def test_builder_curve_curve_style(shade, curvestyle, baseline): """Test curve parameters of curve() method""" with qt_app_context(exec_loop=False): curve = _make_curve_style(shade, curvestyle, baseline) show_items_qtbot([curve], "curve") @pytest.mark.parametrize("shade", [0, 0.4, 1.0]) @pytest.mark.parametrize("curvestyle", ["Lines"]) @pytest.mark.parametrize("baseline", [0.0, 1.0]) def test_builder_curve_curve_shade_baseline(shade, curvestyle, baseline): """Test curve parameters of curve() method""" with qt_app_context(exec_loop=False): curve = _make_curve_style(shade, curvestyle, baseline) show_items_qtbot([curve], "curve") def _make_curve_dsamp(dsamp_factor, use_dsamp): """Make curve with downsampling parameters""" x = np.linspace(-10, 10, 1000) y = np.sin(x) curve = make.curve(x, y, dsamp_factor=dsamp_factor, use_dsamp=use_dsamp) if use_dsamp: assert curve.dataSize() == x[::dsamp_factor].size return curve @pytest.mark.parametrize("dsamp_factor", [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 30, 50]) @pytest.mark.parametrize("use_dsamp", [True]) def test_builder_curve_dsamp_on(dsamp_factor, use_dsamp): """Test downsampling parameters of curve() method: use_dsamp=True""" with qt_app_context(exec_loop=False): curve = _make_curve_dsamp(dsamp_factor, use_dsamp) show_items_qtbot([curve], "curve") @pytest.mark.parametrize("dsamp_factor", [1, 2]) @pytest.mark.parametrize("use_dsamp", [False]) def test_builder_curve_dsamp_off(dsamp_factor, use_dsamp): """Test downsampling parameters of curve() method: use_dsamp=False""" with qt_app_context(exec_loop=False): curve = _make_curve_dsamp(dsamp_factor, use_dsamp) show_items_qtbot([curve], "curve") def _make_curve_linestyle(color, linestyle, linewidth): """Make curve with line parameters""" x = np.linspace(-10, 10, 200) y = np.sin(x) curve = make.curve(x, y, color=color, linestyle=linestyle, linewidth=linewidth) pen = curve.pen() assert pen.color().name() == _COLOR_TO_HEX[color] assert pen.style() == getattr(Qt, linestyle) assert pen.width() == linewidth return curve @pytest.mark.parametrize("color", ["red"]) @pytest.mark.parametrize( "linestyle", ["SolidLine", "DashLine", "DotLine", "DashDotLine", "DashDotDotLine", "NoPen"], ) @pytest.mark.parametrize("linewidth", [1, 2]) def test_builder_curve_line_style(color, linestyle, linewidth): """Test line parameters of curve() method""" with qt_app_context(exec_loop=False): curve = _make_curve_linestyle(color, linestyle, linewidth) show_items_qtbot([curve], "curve") @pytest.mark.parametrize("color", ["red", "blue"]) @pytest.mark.parametrize("linestyle", ["SolidLine"]) @pytest.mark.parametrize("linewidth", [1, 2]) def test_builder_curve_line_color(color, linestyle, linewidth): """Test line parameters of curve() method""" with qt_app_context(exec_loop=False): curve = _make_curve_linestyle(color, linestyle, linewidth) show_items_qtbot([curve], "curve") def _make_curve_marker(marker, markersize, markerfacecolor, markeredgecolor): """Make curve with marker parameters""" x = np.linspace(-10, 10, 200) y = np.sin(x) curve = make.curve( x, y, marker=marker, markersize=markersize, markerfacecolor=markerfacecolor, markeredgecolor=markeredgecolor, ) symbol = curve.symbol() assert symbol.style() == getattr(type(symbol), marker) assert symbol.size().width() == markersize assert symbol.size().height() == markersize assert symbol.brush().color().name() == _COLOR_TO_HEX[markerfacecolor] assert symbol.pen().color().name() == _COLOR_TO_HEX[markeredgecolor] return curve @pytest.mark.parametrize( "marker", [ "Cross", "Ellipse", "Star1", "XCross", "Rect", "Diamond", "UTriangle", "DTriangle", "RTriangle", "LTriangle", "Star2", "NoSymbol", ], ) @pytest.mark.parametrize("markersize", [5]) @pytest.mark.parametrize("markerfacecolor", ["red"]) @pytest.mark.parametrize("markeredgecolor", ["blue"]) def test_builder_curve_marker_params_symbol( marker, markersize, markerfacecolor, markeredgecolor ): """Test marker parameters of curve() methodg""" with qt_app_context(exec_loop=False): curve = _make_curve_marker(marker, markersize, markerfacecolor, markeredgecolor) show_items_qtbot([curve], "curve") @pytest.mark.parametrize("marker", ["Cross"]) @pytest.mark.parametrize("markersize", [1, 5, 10]) @pytest.mark.parametrize("markerfacecolor", ["red", "blue"]) @pytest.mark.parametrize("markeredgecolor", ["red", "blue"]) def test_builder_curve_marker_size_color( marker, markersize, markerfacecolor, markeredgecolor ): """Test marker parameters of curve() methodg""" with qt_app_context(exec_loop=False): curve = _make_curve_marker(marker, markersize, markerfacecolor, markeredgecolor) show_items_qtbot([curve], "curve") PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_builder_image.py000066400000000000000000000071271525747167300254060ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Test PlotBuilder image factory methods""" import numpy as np import pytest from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.constants import LUTAlpha from plotpy.tests.unit.test_builder_curve import show_items_qtbot def _make_image( alpha_function=None, xdata=[None, None], ydata=[None, None], pixel_size=None, center_on=None, interpolation="linear", background_color=None, eliminate_outliers=None, lut_range=None, lock_position=None, ): """Make image""" data = np.ones((50, 50), dtype=np.uint16) return make.image( data, title="Title", alpha_function=alpha_function, alpha=0.5, background_color=background_color, colormap="jet", xdata=xdata, ydata=ydata, pixel_size=pixel_size, center_on=center_on, interpolation=interpolation, eliminate_outliers=eliminate_outliers, xformat="%.1f", yformat="%.1f", zformat="%.1f", lut_range=lut_range, lock_position=lock_position, ) @pytest.mark.parametrize( "alpha_function", [ None, LUTAlpha.NONE, LUTAlpha.CONSTANT, LUTAlpha.LINEAR, LUTAlpha.SIGMOID, LUTAlpha.TANH, LUTAlpha.STEP, ], ) def test_builder_image_alpha_function(alpha_function): with qt_app_context(exec_loop=False): item = _make_image(alpha_function=alpha_function) show_items_qtbot([item]) @pytest.mark.parametrize( "xdata,ydata", [[[None, None], [None, None]], [[-10, 10], [-10, 10]]] ) def test_builder_image_xdata_ydata(xdata, ydata): with qt_app_context(exec_loop=False): item = _make_image(xdata=xdata, ydata=ydata) show_items_qtbot([item]) @pytest.mark.parametrize("pixel_size", [None, 1.0, (1.0, 2.0)]) def test_builder_image_pixel_size(pixel_size): with qt_app_context(exec_loop=False): item = _make_image(pixel_size=pixel_size) show_items_qtbot([item]) @pytest.mark.parametrize("center_on", [None, [1.0, 3.0]]) def test_builder_image_center_on(center_on): with qt_app_context(exec_loop=False): item = _make_image(center_on=center_on, pixel_size=(1.0, 1.0)) show_items_qtbot([item]) @pytest.mark.parametrize("interpolation", ["nearest", "linear", "antialiasing"]) def test_builder_image_interpolation(interpolation): with qt_app_context(exec_loop=False): item = _make_image(interpolation=interpolation) show_items_qtbot([item]) @pytest.mark.parametrize("background_color", [None, "red"]) def test_builder_image_background_color(background_color): with qt_app_context(exec_loop=False): item = _make_image(background_color=background_color) show_items_qtbot([item]) @pytest.mark.parametrize("eliminate_outliers", [None, 3.0]) def test_builder_image_eliminate_outliers(eliminate_outliers): with qt_app_context(exec_loop=False): item = _make_image(eliminate_outliers=eliminate_outliers) show_items_qtbot([item]) @pytest.mark.parametrize("lut_range", [None, [0.0, 100.0]]) def test_builder_image_lut_range(lut_range): with qt_app_context(exec_loop=False): item = _make_image(lut_range=lut_range) show_items_qtbot([item]) @pytest.mark.parametrize("lock_position", [None, True, False]) def test_builder_image_lock_position(lock_position): with qt_app_context(exec_loop=False): item = _make_image(lock_position=lock_position) show_items_qtbot([item]) PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_builder_shape.py000066400000000000000000000034221525747167300254160ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Test PlotBuilder shape factory methods""" import numpy as np import pytest from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import get_path from plotpy.tests.unit.test_builder_curve import show_items_qtbot DEFAULT_ARGS = { make.segment: [0.0, 0.0, 1.0, 1.0], make.rectangle: [0.0, 0.0, 1.0, 1.0], make.circle: [0.0, 0.0, 1.0, 1.0], make.ellipse: [0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 1.0, 1.0], } def _make_standard_shape( method, title: str = None, ): """Make annotation""" args = DEFAULT_ARGS[method] return method( *args, title=title, ) @pytest.mark.parametrize( "method", [make.segment, make.rectangle, make.circle, make.ellipse], ) def test_builder_standard_shape(method): with qt_app_context(exec_loop=False): items = [] items.append(_make_standard_shape(method, title="title")) show_items_qtbot(items) def test_builder_polygon(): items = [] x = np.linspace(0, 1, 10) y = x**2 with qt_app_context(exec_loop=False): for closed in [True, False]: items.append(make.polygon(x, y, closed=closed, title="title")) show_items_qtbot(items) def test_builder_svgshape(): items = [] svg_path = get_path("svg_target.svg") with open(svg_path, "rb") as f: svg_data = f.read() with qt_app_context(exec_loop=False): for shape_str in ("circle", "rectangle", "square"): for data_or_path in (svg_data, svg_path): items.append( make.svg(shape_str, data_or_path, 0.0, 0.0, 1.0, 1.0, title="title") ) show_items_qtbot(items) PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_contour.py000066400000000000000000000057551525747167300243140ustar00rootroot00000000000000import unittest import numpy as np from qtpy.QtCore import Qt from plotpy.builder import make from plotpy.items.contour import compute_contours from plotpy.tests.data import gen_xyz_data class ContourTest(unittest.TestCase): """ Test case for contour() function Test data are borrowed from https://matplotlib.org/gallery/images_contours_and_fields/contour_demo.html#sphx-glr-gallery-images-contours-and-fields-contour-demo-py """ def setUp(self): self.X, self.Y, self.Z = gen_xyz_data() def test_contour_level_1(self): """Test that contour() returns one closed line when level is 1.0""" # Ortho coord lines = compute_contours(self.Z, 1.0, self.X, self.Y) assert len(lines) == 1 assert np.all(np.equal(lines[0].vertices[0], lines[0].vertices[-1])) assert lines[0].level == 1.0 # Grid coord lines = compute_contours(self.Z, 1.0, self.X, self.Y) assert len(lines) == 1 assert np.all(np.equal(lines[0].vertices[0], lines[0].vertices[-1])) assert lines[0].level == 1.0 def test_contour_level_diag_0(self): """Test that contour() returns opened lines (diagonal) when level is 0.0""" lines = compute_contours(self.Z, 0.0, self.X, self.Y) assert len(lines) == 1 assert np.any(lines[0].vertices[0] != lines[0].vertices[-1]) assert lines[0].level == 0.0 def test_contour_level_opened_neg_0_5(self): """Test that contour() returns opened lines when level is -0.5""" lines = compute_contours(self.Z, -0.5, self.X, self.Y) assert len(lines) == 1 assert np.any(lines[0].vertices[0] != lines[0].vertices[-1]) assert lines[0].level == -0.5 def test_contour_abs_level_1(self): """Test that contour() returns two closed lines when level is 1.0 and data are absolute. """ lines = compute_contours(np.abs(self.Z), 1.0, self.X, self.Y) assert len(lines) == 2 for line in lines: assert np.all(np.equal(line.vertices[0], line.vertices[-1])) assert line.level == 1.0 def test_contour_item_style(self): """Test contour builder line style parameters.""" items = make.contours( self.Z, 1.0, self.X, self.Y, color="r", linestyle="--", linewidth=2.5, ) assert items for item in items: assert item.pen.color().name() == "#ff0000" assert item.pen.style() == Qt.DashLine assert item.pen.widthF() == 2.5 default_item = make.contours(self.Z, 1.0, self.X, self.Y)[0] color_item = make.contours(self.Z, 1.0, self.X, self.Y, color="b")[0] assert color_item.pen.color().name() == "#0000ff" assert color_item.pen.style() == default_item.pen.style() assert color_item.pen.widthF() == default_item.pen.widthF() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_cursor_tools.py000066400000000000000000000026121525747167300253450ustar00rootroot00000000000000from __future__ import annotations from typing import TYPE_CHECKING import numpy as np import pytest from guidata.qthelpers import exec_dialog, qt_app_context from plotpy.tests.unit.utils import ( create_window, drag_mouse, ) from plotpy.tools import ( HCursorTool, HRangeTool, VCursorTool, XCursorTool, ) if TYPE_CHECKING: from plotpy.tools.cursor import BaseCursorTool @pytest.mark.parametrize( "cursor_tool", [HCursorTool, VCursorTool, XCursorTool, HRangeTool] ) def test_cursor_tool(cursor_tool: type[BaseCursorTool]): """Test the cursor tools. by simulating a mouse drag and checking if the tool shape is created. Args: cursor_tool: Cursor tool class to test. """ with qt_app_context(): win, _tool = create_window(cursor_tool) win.show() plot = win.manager.get_plot() active_tool = win.manager.get_active_tool() assert isinstance(active_tool, cursor_tool) tool_shape_type = type(active_tool.create_shape()) assert tool_shape_type not in (type(item) for item in plot.get_items()) drag_mouse(win, np.array([0.5, 0.6, 0.7]), np.array([0.5, 0.6, 0.7])) assert tool_shape_type in (type(item) for item in plot.get_items()) exec_dialog(win) if __name__ == "__main__": for tool in (HCursorTool, VCursorTool, XCursorTool, HRangeTool): test_cursor_tool(tool) PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_curve_tools.py000066400000000000000000000164611525747167300251630ustar00rootroot00000000000000from __future__ import annotations from typing import TYPE_CHECKING import numpy as np import qtpy.QtCore as QC from guidata.qthelpers import exec_dialog, qt_app_context from plotpy.coords import canvas_to_axes from plotpy.interfaces.items import ICurveItemType from plotpy.tests.unit.utils import ( CLICK, create_window, drag_mouse, keyboard_event, mouse_event_at_relative_plot_pos, ) from plotpy.tools import EditPointTool, SelectPointsTool, SelectPointTool from plotpy.tools.curve import DownSamplingTool if TYPE_CHECKING: from plotpy.items.curve.base import CurveItem from plotpy.items import DataInfoLabel, XRangeSelection from plotpy.tools import CurveStatsTool from plotpy.tools.selection import SelectTool def test_curve_stat_tool(): """Test the curve stats tool.""" with qt_app_context(exec_loop=False): win, _tool = create_window(CurveStatsTool) win.show() plot = win.manager.get_plot() original_stat_items = [ item for item in plot.get_items() if isinstance(item, (DataInfoLabel, XRangeSelection)) ] drag_mouse(win, np.array([0.4, 0.6]), np.array([0.5, 0.5])) new_stat_items = [ item for item in plot.get_items() if isinstance(item, (DataInfoLabel, XRangeSelection)) ] assert len(new_stat_items) == len(original_stat_items) + 2 # There should be one more new DataInfoLabel and one new XRangeSelection # compared to the original plot items (before mouse drag) win.manager.add_tool(SelectTool).activate() plot.unselect_all() mouse_event_at_relative_plot_pos(win, (0.5, 0.5), CLICK) selected_items = plot.get_selected_items() assert len(selected_items) == 1 and isinstance( selected_items[0], XRangeSelection ) range_item: XRangeSelection = selected_items[0] x00, x01, y0 = range_item.get_handles_pos() drag_mouse(win, np.linspace(0.5, 0.9, 100), np.full(100, 0.5)) x10, x11, y1 = range_item.get_handles_pos() assert x00 < x10 and x01 < x11 and y0 == y1 curve_item: CurveItem = plot.get_items(item_type=ICurveItemType)[0] # type: ignore current_pos = canvas_to_axes(curve_item, QC.QPointF(x10, y1)) x_min, _ = plot.get_axis_limits(curve_item.xAxis()) assert current_pos is not None range_item.move_shape(current_pos, (x_min, 0)) assert np.isclose(range_item.get_range()[0], x_min) exec_dialog(win) def test_free_select_point_tool(): """Test the free select point tool.""" with qt_app_context(exec_loop=False): win, tool = create_window(SelectPointTool) win.show() mouse_event_at_relative_plot_pos(win, (0.5, 0.5), CLICK) assert tool.get_coordinates() is not None exec_dialog(win) def test_contrained_select_point_tool(): """Test the constrained select point tool contrained to a CurveItem.""" with qt_app_context(exec_loop=False): win, tool = create_window(SelectPointTool) win.show() tool.on_active_item = True mouse_event_at_relative_plot_pos(win, (0.5, 0.5), CLICK) coor = tool.get_coordinates() curve_item: CurveItem = win.manager.get_plot().get_active_item() # type: ignore arr_x, arr_y = curve_item.get_data() assert coor is not None x, y = coor assert np.where(arr_x == x)[0] == np.where(arr_y == y)[0] exec_dialog(win) def test_select_points_tool(): """Test the select points tool constrained to a CurveItem.""" with qt_app_context(exec_loop=False): win, tool = create_window(tool_class=SelectPointsTool) mod = QC.Qt.KeyboardModifier.ControlModifier mouse_event_at_relative_plot_pos(win, (0.4, 0.5), CLICK, mod) assert len(tool.get_coordinates() or ()) == 1 mouse_event_at_relative_plot_pos(win, (0.5, 0.5), CLICK, mod) mouse_event_at_relative_plot_pos(win, (0.8, 0.8), CLICK, mod) print(tool.get_coordinates()) assert len(tool.get_coordinates() or ()) == 3 mouse_event_at_relative_plot_pos(win, (0.8, 0.8), CLICK, mod) assert len(tool.get_coordinates() or ()) == 2 mouse_event_at_relative_plot_pos(win, (0.7, 0.5), CLICK, mod) assert len(tool.get_coordinates() or ()) == 3 mouse_event_at_relative_plot_pos(win, (0.1, 0.1), CLICK) assert len(tool.get_coordinates() or ()) == 1 coor = tool.get_coordinates() assert coor is not None x, y = coor[0] curve_item: CurveItem = win.manager.get_plot().get_active_item() # type: ignore arr_x, arr_y = curve_item.get_data() assert np.where(arr_x == x)[0] == np.where(arr_y == y)[0] exec_dialog(win) def test_edit_point_tool(): """Test the edit point tool for a CurveItem.""" with qt_app_context(exec_loop=False): win, tool = create_window(EditPointTool) win.show() curve_item: CurveItem = win.manager.get_plot().get_active_item() # type: ignore orig_x, orig_y = curve_item.get_data() assert orig_x is not None and orig_y is not None orig_x, orig_y = orig_x.copy(), orig_y.copy() assert tool is not None # must activate downsampling because the curve is too dense so the selection # distance threshold is too small for the programmed drag to select the first # point curve_item.param.dsamp_factor = 20 win.manager.add_tool(DownSamplingTool).activate() # The steps must be very small to ensure the mouse passes close # enough to the first point of the curve to move it (distance < threshold) n = 1000 min_v, max_v = 0, 1 x_path = np.full(n, min_v) y_path = np.linspace(max_v, min_v, n) drag_mouse(win, x_path, y_path) x_path = np.full(n, max_v) drag_mouse(win, x_path, y_path) curve_changes = tool.get_changes()[curve_item] x_arr, y_arr = curve_item.get_data() for i, (x, y) in curve_changes.items(): assert x == x_arr[i] assert y == y_arr[i] x_arr, y_arr = tool.get_arrays() assert x_arr is not None and y_arr is not None x_arr, y_arr = tool.get_initial_arrays() assert x_arr is not None and y_arr is not None # Reset the arrays and deletes the changes keyboard_event(win, QC.Qt.Key.Key_Z, QC.Qt.KeyboardModifier.ControlModifier) assert len(curve_changes) == 0 restored_x, restored_y = curve_item.get_data() assert restored_x is not None and restored_y is not None assert np.allclose(orig_x, restored_x) assert np.allclose(orig_y, restored_y) mouse_event_at_relative_plot_pos(win, (0.5, 0.5), CLICK) tool.trigger_insert_point_at_selection() new_x, new_y = curve_item.get_data() assert len(new_x) == len(orig_x) + 1 and len(new_y) == len(orig_y) + 1 tool.reset_arrays() assert tool.get_changes() == {} x_arr, y_arr = curve_item.get_data() assert np.isin(x_arr, orig_x).all() and np.isin(y_arr, orig_y).all() exec_dialog(win) if __name__ == "__main__": test_curve_stat_tool() test_free_select_point_tool() test_contrained_select_point_tool() test_select_points_tool() test_edit_point_tool() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_datetime_axis.py000066400000000000000000000050641525747167300254340ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Testing datetime axis feature""" # guitest: show from datetime import datetime import numpy as np import qwt from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import vistools as ptv def test_datetime_axis(): """Testing datetime axis with various formats""" with qt_app_context(exec_loop=False): # Create time data x = np.linspace(0, 86400, 100) # One day in seconds from epoch y = np.sin(x / 3600 * 2 * np.pi) + np.random.randn(100) * 0.1 items = [make.curve(x, y, color="b")] win = ptv.show_items(items, plot_type="curve", wintitle="Test datetime axis") plot = win.manager.get_plot() # Test 1: Set datetime axis with default format plot.set_axis_datetime("bottom") scale_draw = plot.axisScaleDraw(plot.xBottom) assert isinstance(scale_draw, qwt.QwtDateTimeScaleDraw) assert scale_draw.get_format() == "%Y-%m-%d %H:%M:%S" # Test 2: Set datetime axis with custom format (time only) plot.set_axis_datetime("bottom", format="%H:%M:%S") scale_draw = plot.axisScaleDraw(plot.xBottom) assert scale_draw.get_format() == "%H:%M:%S" # Test 3: Set datetime axis with date only plot.set_axis_datetime("bottom", format="%Y-%m-%d", rotate=0, spacing=10) scale_draw = plot.axisScaleDraw(plot.xBottom) assert scale_draw.get_format() == "%Y-%m-%d" # Test 4: Verify label formatting timestamp = 86400.0 # 1970-01-02 00:00:00 UTC label = scale_draw.label(timestamp) expected = datetime.fromtimestamp(timestamp).strftime("%Y-%m-%d") assert label.text() == expected # Test 5: Set axis limits using datetime objects dt1 = datetime(1970, 1, 1, 6, 0, 0) dt2 = datetime(1970, 1, 1, 18, 0, 0) plot.set_axis_limits_from_datetime("bottom", dt1, dt2) # Verify the limits were set correctly # Note: autoscale margin might affect the exact values vmin, vmax = plot.get_axis_limits("bottom") expected_min = (dt1 - datetime(1970, 1, 1)).total_seconds() expected_max = (dt2 - datetime(1970, 1, 1)).total_seconds() # Just verify that limits are in the right order and contain expected range assert vmin <= expected_min assert vmax >= expected_max assert vmax > vmin print("All datetime axis tests passed!") if __name__ == "__main__": test_datetime_axis() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_display_coords_tool.py000066400000000000000000000036521525747167300266700ustar00rootroot00000000000000from __future__ import annotations from typing import TYPE_CHECKING import numpy as np import pytest import qtpy.QtCore as QC from guidata.qthelpers import qt_app_context from plotpy.interfaces.items import ICurveItemType, IImageItemType from plotpy.tests.unit.utils import create_window, drag_mouse from plotpy.tools import DisplayCoordsTool if TYPE_CHECKING: from plotpy.interfaces.items import IItemType @pytest.mark.parametrize("active_item", [ICurveItemType, IImageItemType, None]) def test_display_coords(active_item: type[IItemType] | None): """Test display coordinates tool on a curve and on an image.""" with qt_app_context(exec_loop=False): win, _tool = create_window(DisplayCoordsTool, active_item_type=active_item) plot = win.manager.get_plot() # The is no way to test a condition while the mouse is moving so it is # not possible to test the display of the coordinates while the mouse is moving. assert plot.curve_pointer is False and plot.canvas_pointer is False drag_mouse(win, np.array([0.5]), np.array([0.5]), click=False) assert plot.curve_pointer is False and plot.canvas_pointer is False drag_mouse(win, np.array([0.5]), np.array([0.5]), click=True) assert plot.curve_pointer is False and plot.canvas_pointer is False drag_mouse( win, np.array([0.5]), np.array([0.5]), click=False, mod=QC.Qt.KeyboardModifier.AltModifier, ) assert plot.curve_pointer is False and plot.canvas_pointer is False drag_mouse( win, np.array([0.5]), np.array([0.5]), click=False, mod=QC.Qt.KeyboardModifier.ControlModifier, ) assert plot.curve_pointer is False and plot.canvas_pointer is False if __name__ == "__main__": for item in (ICurveItemType, IImageItemType): test_display_coords(item) PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_events.py000066400000000000000000000115111525747167300241120ustar00rootroot00000000000000""" This files tests the vent handlers not covered by other tests. """ from __future__ import annotations import operator from enum import Enum from typing import TYPE_CHECKING, Callable import numpy as np import pytest import qtpy.QtCore as QC import qtpy.QtWidgets as QW from guidata.qthelpers import exec_dialog, qt_app_context from plotpy.tests.unit.utils import ( create_window, drag_mouse, scroll_wheel, ) from plotpy.tools.selection import SelectTool if TYPE_CHECKING: from plotpy.plot.plotwidget import PlotDialog, PlotWindow class ZoomType(Enum): NO_ZOOM = (operator.eq, operator.eq, operator.eq, operator.eq) ZOOM_IN = (operator.gt, operator.lt, operator.lt, operator.gt) ZOOM_OUT = (operator.lt, operator.gt, operator.gt, operator.lt) class ZoomEvent(Enum): ZOOM_WITH_MOUSE = 0 ZOOM_WITH_WHEEL = 1 def result_zoom(zoom_type: ZoomType, event_type: ZoomEvent): """Wrapper used to parametrize the test_zoom function. Args: zoom_type: enum to specify the expected zoom. event_type: enum to specify the event type (drag or scroll). Returns: A function used to zoom in the plot and the expected zoom type. """ if event_type is ZoomEvent.ZOOM_WITH_MOUSE: if zoom_type is ZoomType.NO_ZOOM: btn = QC.Qt.MouseButton.NoButton x_path = np.array([0.5, 0.8]) elif zoom_type is ZoomType.ZOOM_IN: btn = QC.Qt.MouseButton.RightButton x_path = np.array([0.5, 0.8]) else: btn = QC.Qt.MouseButton.RightButton x_path = np.array([0.5, 0.2]) def _zoom_with_mouse(win: PlotWindow | PlotDialog): """Zoom in the plot by dragging the mouse while holding right click. Args: win: PlotWindow or PlotDialog instance. """ drag_mouse(win, x_path, np.array([0.5, 0.5]), btn=btn) return _zoom_with_mouse, zoom_type if zoom_type is ZoomType.NO_ZOOM: angle_delta = 360 mod = QC.Qt.KeyboardModifier.NoModifier elif zoom_type is ZoomType.ZOOM_IN: angle_delta = 360 mod = QC.Qt.KeyboardModifier.ControlModifier else: angle_delta = -360 mod = QC.Qt.KeyboardModifier.ControlModifier def _zoom_with_wheel(win: PlotWindow | PlotDialog): """Zoom in the plot by scrolling the mouse wheel while holding control. Args: win: PlotWindow or PlotDialog instance. """ scroll_wheel(win, (0.5, 0.5), angle_delta, 0, mods=mod) return _zoom_with_wheel, zoom_type @pytest.mark.parametrize( "zoom_func, zoom_type", [ result_zoom(ZoomType.NO_ZOOM, ZoomEvent.ZOOM_WITH_MOUSE), result_zoom(ZoomType.NO_ZOOM, ZoomEvent.ZOOM_WITH_WHEEL), result_zoom(ZoomType.ZOOM_IN, ZoomEvent.ZOOM_WITH_MOUSE), result_zoom(ZoomType.ZOOM_IN, ZoomEvent.ZOOM_WITH_WHEEL), result_zoom(ZoomType.ZOOM_OUT, ZoomEvent.ZOOM_WITH_MOUSE), result_zoom(ZoomType.ZOOM_OUT, ZoomEvent.ZOOM_WITH_WHEEL), ], ) def test_zoom( zoom_func: Callable[[QW.QApplication, PlotWindow | PlotDialog], None], zoom_type: ZoomType, ): """Test zooming on the plot by triggering several event types. Args: zoom_func: _description_ """ with qt_app_context(exec_loop=False): win, _ = create_window(SelectTool) win.show() plot = win.manager.get_plot() plot.unselect_all() axis_x, axis_y = plot.get_active_axes() x_min0, x_max0 = plot.get_axis_limits(axis_x) y_min0, y_max0 = plot.get_axis_limits(axis_y) zoom_func(win) x_min1, x_max1 = plot.get_axis_limits(axis_x) y_min1, y_max1 = plot.get_axis_limits(axis_y) c1, c2, c3, c4 = zoom_type.value assert c1(x_min1, x_min0) assert c2(x_max1, x_max0) assert c3(y_min1, y_min0) assert c4(y_max1, y_max0) exec_dialog(win) def test_pan(): """Test panning the plot by dragging the mouse while holding middle click.""" with qt_app_context(exec_loop=False): win, _ = create_window(SelectTool) win.show() plot = win.manager.get_plot() plot.unselect_all() axis_x, axis_y = plot.get_active_axes() x_min0, x_max0 = plot.get_axis_limits(axis_x) y_min0, y_max0 = plot.get_axis_limits(axis_y) x_path, y_path = np.linspace(0.5, 0, 100), np.linspace(0.5, 0, 100) drag_mouse(win, x_path, y_path, btn=QC.Qt.MouseButton.MiddleButton) x_min1, x_max1 = plot.get_axis_limits(axis_x) y_min1, y_max1 = plot.get_axis_limits(axis_y) assert x_min1 > x_min0 assert x_max1 > x_max0 assert y_min1 > y_min0 assert y_max1 > y_max0 exec_dialog(win) if __name__ == "__main__": test_zoom(*result_zoom(ZoomType.ZOOM_OUT, ZoomEvent.ZOOM_WITH_WHEEL)) test_pan() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_fontparam.py000066400000000000000000000006121525747167300245750ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """FontParam test""" from guidata.qthelpers import qt_app_context from plotpy.styles.base import FontParam def test_fontparam(): with qt_app_context(exec_loop=True): fp = FontParam() fp.edit() fp.edit() if __name__ == "__main__": test_fontparam() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_geometry.py000066400000000000000000000064241525747167300244500ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Unit tests for geometry module """ from __future__ import annotations import numpy as np from plotpy.mathutils import geometry as geom def test_transform_matrix() -> None: """Testing transform matrix functions""" x0 = 1.0 y0 = 2.0 scale_x = 2.0 scale_y = 3.0 delta_x = 15.3 delta_y = 10.4 angle = 30.0 vect0 = geom.colvector(x0, y0) # print("vect0:", repr(vect0)) vect1 = geom.scale(scale_x, scale_y) @ vect0 # print("vect1:", repr(vect1)) assert np.allclose(vect1, np.array([2.0, 6.0, 1.0])) vect2 = geom.translate(delta_x, delta_y) @ vect1 # print("vect2:", repr(vect2)) assert np.allclose(vect2, np.array([17.3, 16.4, 1.0])) vect3 = geom.rotate(angle) @ vect2 # print("vect3:", repr(vect3)) assert np.allclose(vect3, np.array([18.87226872, -14.56322332, 1.0])) trmat = ( geom.scale(1.0 / scale_x, 1.0 / scale_y) @ geom.translate(-delta_x, -delta_y) @ geom.rotate(-angle) ) vect4 = trmat @ vect3 # print("vect4:", repr(vect4)) assert np.allclose(vect0, vect4) def test_vector_operations() -> None: """Test vector operation functions""" xa = 1.0 ya = 2.0 xb = 3.0 yb = 4.0 vect = np.array([5.0, 6.0]) angle = np.deg2rad(30.0) norm = geom.vector_norm(xa, ya, xb, yb) assert np.allclose(norm, np.sqrt(8.0)) proj = geom.vector_projection(vect, xa, ya, xb, yb) # print("proj:", repr(proj)) assert np.allclose(proj, np.array([8.5, 9.5])) vrot = geom.vector_rotation(angle, vect[0], vect[1]) # print("vrot:", repr(vrot)) assert np.allclose(vrot, np.array([1.33012702, 7.69615242])) angle = geom.vector_angle(vect[0], vect[1]) # print("angle:", repr(angle)) assert np.allclose(angle, np.arctan2(vect[1], vect[0])) def test_coordinates_computations() -> None: """Testing coordinates computation functions""" x1 = 1.0 y1 = 2.0 x2 = 3.0 y2 = 4.0 xc, yc = geom.compute_center(x1, y1, x2, y2) assert np.allclose(xc, 2.0) and np.allclose(yc, 3.0) width, height = geom.compute_rect_size(x1, y1, x2, y2) assert np.allclose(width, 2.0) and np.allclose(height, 2.0) dist = geom.compute_distance(x1, y1, x2, y2) assert np.allclose(dist, np.sqrt(8.0)) angle = geom.compute_angle(x1, y1, x2, y2) assert np.allclose(angle, np.rad2deg(-np.arctan2(2.0, 2.0))) angle_inv = geom.compute_angle(x1, y1, x2, y2, True) assert np.allclose(angle_inv, np.rad2deg(np.arctan2(2.0, 2.0))) def test_vector_projection_zero_length() -> None: """``vector_projection`` must not raise when the segment has zero length. When points A and B are identical, the projection direction is undefined. The function should fall back to returning point B (= point A) instead of triggering a ``ZeroDivisionError`` / ``RuntimeWarning`` from a 0/0 division. """ vect = np.array([5.0, 6.0]) proj = geom.vector_projection(vect, 1.0, 2.0, 1.0, 2.0) assert np.all(np.isfinite(proj)) assert np.allclose(proj, np.array([1.0, 2.0])) if __name__ == "__main__": test_transform_matrix() test_vector_operations() test_coordinates_computations() test_vector_projection_zero_length() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_image_log_set_data.py000066400000000000000000000053511525747167300264020ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Regression tests for cached log10 data refresh in ``ImageItem.set_data``. When the Z-axis is in logarithmic scale, ``ImageItem`` keeps a cached ``_log_data`` array. Prior to the fix, calling ``set_data`` did not refresh that cache, so the displayed image kept reflecting the previous values until the user toggled the log scale off and on again. """ from __future__ import annotations import numpy as np from guidata.qthelpers import qt_app_context from plotpy.builder import make def _make_item(data: np.ndarray): """Return an ``ImageItem`` ready for log-scale tests.""" return make.image(data, interpolation="nearest") def test_set_data_refreshes_log_data_when_log_scale_enabled() -> None: """``set_data`` must recompute ``_log_data`` when log scale is active.""" with qt_app_context(exec_loop=False): first = np.array([[1.0, 10.0], [100.0, 1000.0]]) item = _make_item(first) item.set_zaxis_log_state(True) np.testing.assert_array_almost_equal(item._log_data, np.log10(first.clip(1))) second = np.array([[10.0, 100.0], [1000.0, 10000.0]]) item.set_data(second) # The cache must reflect the new data, not the previous one. np.testing.assert_array_almost_equal(item._log_data, np.log10(second.clip(1))) # And the LUT range must be derived from the refreshed log data. lut_min, lut_max = item.get_lut_range() assert lut_min == np.log10(second.clip(1)).min() assert lut_max == np.log10(second.clip(1)).max() def test_set_data_keeps_lut_range_in_log_mode() -> None: """``keep_lut_range`` must be honored even when log scale is active.""" with qt_app_context(exec_loop=False): first = np.array([[1.0, 10.0], [100.0, 1000.0]]) item = _make_item(first) item.set_zaxis_log_state(True) item.set_lut_range((0.5, 2.5)) item.param.keep_lut_range = True second = np.array([[10.0, 100.0], [1000.0, 10000.0]]) item.set_data(second) # Cache must still be refreshed (display correctness)โ€ฆ np.testing.assert_array_almost_equal(item._log_data, np.log10(second.clip(1))) # โ€ฆbut the LUT range must remain frozen as requested by the user. assert item.get_lut_range() == (0.5, 2.5) def test_set_data_does_not_create_log_data_when_log_scale_disabled() -> None: """When log scale is off, ``set_data`` must not create ``_log_data``.""" with qt_app_context(exec_loop=False): item = _make_item(np.array([[1.0, 2.0], [3.0, 4.0]])) assert item._log_data is None item.set_data(np.array([[5.0, 6.0], [7.0, 8.0]])) assert item._log_data is None PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_io.py000066400000000000000000000104751525747167300232250ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Unit tests for io module """ import numpy as np import pytest from guidata.configtools import get_image_file_path from qtpy.QtGui import QImage from plotpy.tests import get_path try: import pydicom # type:ignore except ImportError: pydicom = None from plotpy.io import imread, imwrite, scale_data_to_dtype def compute_image(N=1000, M=1000): """Compute a random image""" return (np.random.rand(N, M) * 65536).astype(np.uint8) def test_imwrite_png(tmpdir): """Test writing of a png file""" # write a random image dest = tmpdir / "out.png" data = compute_image(1000, 500) imwrite(dest, data) assert dest.exists() # check image with Qt img = QImage() img.load(str(dest)) assert img.height() == 1000 assert img.width() == 500 def test_imwrite_txt(tmpdir): """Test writing of image in txt format""" # write a random image dest = tmpdir / "out.txt" data = compute_image(1000, 500) imwrite(dest, data) assert dest.exists() text = dest.read_text("ascii") lines = text.splitlines() assert len(lines) == 1000 for line in lines: values = line.split(" ") assert len(values) == 500 assert all(0 <= int(v) <= 255 for v in values) def test_imwrite_csv(tmpdir): """Test writing of image in csv format""" # write a random image dest = tmpdir / "out.csv" data = compute_image(20, 30) imwrite(dest, data) assert dest.exists() text = dest.read_text("ascii") lines = text.splitlines() assert len(lines) == 20 for line in lines: values = line.split(",") assert len(values) == 30 assert all(0 <= int(v) <= 255 for v in values) def test_imread_brain_png(): """Test reading of brain png file""" brain_path = get_path("brain.png") data = imread(brain_path) assert data.shape == (256, 256) def test_imread_python_icon(): """Test reading of python icon which is a colored PNG with alpha.""" path = get_image_file_path("python.png") data = imread(path) assert data.shape == (16, 16, 4) def test_imread_python_icon_grayscale(): """Test reading of python icon which is a colored PNG with alpha, data should be converted to grayscale.""" path = get_image_file_path("python.png") data = imread(path, to_grayscale=True) assert data.shape == (16, 16) @pytest.mark.skipif(pydicom is None, reason="pydicom not installed") def test_imread_dcm(): """Test reading of dcm file""" brain_path = get_path("mr-brain.dcm") data = imread(brain_path) assert data.shape == (512, 512) def test_imread_txt(tmpdir): """Test reading of txt file""" img = tmpdir / "img.txt" content = "\n".join(" ".join(f"{n:d}" for n in range(255)) for _ in range(50)) img.write_text(content, "ascii") data = imread(img) assert data.shape == (50, 255) assert data[0, 25] == 25 def test_scale_data_to_dtype_constant_array(): """Constant arrays must not produce NaN/Inf when rescaled. When ``data.min() == data.max()``, the original implementation divided by zero (raising ``RuntimeWarning: invalid value encountered in true_divide`` and producing a NaN-filled intermediate array) before casting to the target dtype. The fix avoids the division entirely. """ import warnings as _warnings data = np.full((10, 10), 5.0, dtype=np.float64) with _warnings.catch_warnings(): _warnings.simplefilter("error", category=RuntimeWarning) result = scale_data_to_dtype(data, np.uint8) assert result.dtype == np.uint8 assert np.isfinite(result).all() assert (result == result[0, 0]).all() def test_scale_data_to_dtype_regular(): """Regression test: regular arrays still rescale to the full dtype range.""" data = np.array([0.0, 0.5, 1.0], dtype=np.float64) result = scale_data_to_dtype(data, np.uint8) assert result.dtype == np.uint8 info = np.iinfo(np.uint8) assert int(result[0]) == info.min assert int(result[-1]) == info.max if __name__ == "__main__": test_imread_python_icon() test_imread_python_icon_grayscale() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_line.py000066400000000000000000000031511525747167300235360ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Internal test related to pcolor feature""" import numpy as np import pytest from plotpy._scaler import _line_test as line N = 10 TEST_LINE_DATA = [(0, 0, 9, 9), (9, 9, 0, 0), (0, 5, 0, 9), (2, 5, 7, 5), (0, 1, 2, 9)] TEST_TRI_DATA = [(0, 1, 2, 9, 8, 7)] def print_tri(imin, imax): """Print triangle""" for i in range(N): for j in range(N): if j < imin[i] or j > imax[i]: print(".", end=" ") else: print("*", end=" ") print() @pytest.mark.parametrize("x0,y0,x1,y1", TEST_LINE_DATA) def test_line(x0, y0, x1, y1): """Test line""" print(x0, ",", y0, "->", x1, ",", y1) imin = np.full((N,), N, dtype=np.int32) imax = np.full((N,), 0, dtype=np.int32) print("imin:", repr(imin), imin.dtype) print("imax:", repr(imax), imax.dtype) line(x0, y0, x1, y1, N, imin, imax) print_tri(imin, imax) @pytest.mark.parametrize("x0,y0,x1,y1,x2,y2", TEST_TRI_DATA) def test_tri(x0, y0, x1, y1, x2, y2): """Test triangle""" print(x0, ",", y0, "->", x1, ",", y1) imin = np.full((N,), N, dtype=np.int32) imax = np.full((N,), 0, dtype=np.int32) imin[:] = N + 1 imax[:] = -1 line(x0, y0, x1, y1, N, imin, imax) line(x0, y0, x2, y2, N, imin, imax) line(x1, y1, x2, y2, N, imin, imax) print_tri(imin, imax) if __name__ == "__main__": test_tri(0, 1, 2, 9, 8, 7) test_line(0, 0, 9, 9) test_line(9, 9, 0, 0) test_line(0, 5, 0, 9) test_line(2, 5, 7, 5) test_line(0, 1, 2, 9) PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_line_cross_section_tool.py000066400000000000000000000014351525747167300275330ustar00rootroot00000000000000from __future__ import annotations import numpy as np from guidata.qthelpers import exec_dialog, qt_app_context from plotpy.interfaces.items import IImageItemType from plotpy.panels.csection.cswidget import LineCrossSection from plotpy.tests.unit.utils import create_window, drag_mouse from plotpy.tools import LineCrossSectionTool def test_line_cross_section(): """Test the line cross section tool.""" with qt_app_context(exec_loop=False): win, _tool = create_window( LineCrossSectionTool, active_item_type=IImageItemType, panels=[LineCrossSection], ) n = 100 drag_mouse(win, np.linspace(0.25, 0.75, n), np.linspace(0.25, 0.75, n)) exec_dialog(win) if __name__ == "__main__": test_line_cross_section() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_manipulate_selection.py000066400000000000000000000327111525747167300270170ustar00rootroot00000000000000from __future__ import annotations from typing import TYPE_CHECKING, Callable, TypeVar import numpy as np import pytest import qtpy.QtCore as QC from guidata.qthelpers import exec_dialog, qt_app_context from plotpy.builder import make from plotpy.interfaces.items import ( IImageItemType, IShapeItemType, ) from plotpy.items.image.base import BaseImageItem from plotpy.tests.data import gen_image4 from plotpy.tests.unit.utils import ( create_window, drag_mouse, keyboard_event, undo_redo, ) from plotpy.tools import RectangularSelectionTool, SelectTool if TYPE_CHECKING: from plotpy.items.image.transform import TrImageItem from plotpy.plot.base import BasePlot from plotpy.plot.plotwidget import PlotWindow BaseImageItemT = TypeVar("BaseImageItemT", bound=BaseImageItem) def _assert_images_angle( images: list[TrImageItem], ref_angle: float, target_angle: float | None = None ) -> None: """Used to assert the angle of a list of images (factorization). Args: images: list of transformable image items ref_angle: reference angle target_angle: Expected angle. Defaults to None. """ angle = images[0].param.pos_angle # type: ignore assert angle > ref_angle if target_angle is not None: assert np.isclose(angle, target_angle, 0.5) for img in images: assert np.isclose(angle, img.param.pos_angle) # type: ignore def _assert_images_pos(images: list[TrImageItem], x0: float, y0: float) -> None: """Used to assert the position of a list of images (factorization). Args: images: lst of transformable image items x0: reference x position y0: reference y position """ x = images[0].param.pos_x0 # type: ignore y = images[0].param.pos_y0 # type: ignore assert x > x0 assert y > y0 for img in images: assert img.param.pos_angle == 0 # type: ignore assert np.isclose(x, img.param.pos_x0) # type: ignore assert np.isclose(y, img.param.pos_y0) # type: ignore def _get_xy_coords(tr_img: BaseImageItem) -> tuple[float, float, float, float]: """Asserts and returns the coordinates of a transformable image item. Args: tr_img: transformable image item Returns: coordinates of the image item from its bounding rectangle. """ x1, y1, x2, y2 = tr_img.boundingRect().getCoords() assert isinstance(x1, float) assert isinstance(y1, float) assert isinstance(x2, float) assert isinstance(y2, float) return x1, y1, x2, y2 def _setup_plot( img_item: BaseImageItem | None = None, ) -> tuple[PlotWindow, SelectTool, BasePlot, BaseImageItem]: """Setup the plot for the tests with the given image item. Args: img_item: image item to use. If None, will create a default image item. Defaults to None. """ if img_item is None: img_item = make.trimage(gen_image4(100, 100), x0=100, y0=100) win, tool = create_window(SelectTool, IImageItemType, None, [img_item]) win.show() assert isinstance(tool, SelectTool) plot = win.manager.get_plot() assert plot.get_selected_items() == [img_item] return win, tool, plot, img_item @pytest.mark.parametrize( "img_item_factory", [ lambda: make.trimage(gen_image4(100, 100), x0=100, y0=100), lambda: make.image( gen_image4(100, 100), center_on=(100, 100), pixel_size=1, lock_position=False, ), ], ) def test_move_with_mouse(img_item_factory: Callable[[], BaseImageItem] | None): """Test the select tool. Arg: img_item_factory: image item factory function. Defaults to None. """ with qt_app_context(exec_loop=False): img_item = None if img_item_factory is None else img_item_factory() win, tool, plot, img_item = _setup_plot(img_item) x1, y1, *_ = _get_xy_coords(img_item) if img_item.can_rotate(): initial_angle = img_item.param.pos_angle # type: ignore assert initial_angle == 0 assert plot.get_selected_items() == [img_item] drag_mouse(win, np.array([0.5, 0.6, 0.7]), np.array([0.5, 0.6, 0.7])) assert plot.get_selected_items() == [img_item] x2, y2, *_ = _get_xy_coords(img_item) assert x2 > x1 and y2 > y1 if img_item.can_rotate(): assert img_item.param.pos_angle == initial_angle # type: ignore undo_redo(win) exec_dialog(win) @pytest.mark.parametrize( "mod", [QC.Qt.KeyboardModifier.NoModifier, QC.Qt.KeyboardModifier.ControlModifier] ) def test_move_with_arrows( mod: QC.Qt.KeyboardModifier, ): """Test moving an image item with the arrow keys. Args: mod: keyboard modifier to use. """ with qt_app_context(exec_loop=False): win, tool, plot, tr_img = _setup_plot() x1, y1, *_ = _get_xy_coords(tr_img) plot.select_item(tr_img) # type: ignore initial_angle = tr_img.param.pos_angle # type: ignore assert initial_angle == 0 assert plot.get_selected_items() == [tr_img] keyboard_event(win, QC.Qt.Key.Key_Right, mod=mod) assert plot.get_selected_items() == [tr_img] x2, y2, *_ = _get_xy_coords(tr_img) assert x2 > x1 and y2 == y1 assert tr_img.param.pos_angle == initial_angle # type: ignore keyboard_event(win, QC.Qt.Key.Key_Down, mod=mod) assert plot.get_selected_items() == [tr_img] x3, y3, *_ = _get_xy_coords(tr_img) assert x3 == x2 and y3 > y2 assert tr_img.param.pos_angle == initial_angle # type: ignore keyboard_event(win, QC.Qt.Key.Key_Left, mod=mod) assert plot.get_selected_items() == [tr_img] x4, y4, *_ = _get_xy_coords(tr_img) assert x4 < x3 and y4 == y3 assert tr_img.param.pos_angle == initial_angle # type: ignore keyboard_event(win, QC.Qt.Key.Key_Up, mod=mod) assert plot.get_selected_items() == [tr_img] x5, y5, *_ = _get_xy_coords(tr_img) assert x5 == x4 and y5 < y4 and np.isclose(x5, x1) and np.isclose(y5, y1) assert tr_img.param.pos_angle == initial_angle # type: ignore keyboard_event(win, QC.Qt.Key.Key_Enter) undo_redo(win) exec_dialog(win) @pytest.mark.parametrize( "mod", [ QC.Qt.KeyboardModifier.ShiftModifier, QC.Qt.KeyboardModifier.ShiftModifier | QC.Qt.KeyboardModifier.ControlModifier, ], ) def test_rotate_with_arrow( mod: QC.Qt.KeyboardModifier, ): """Test rotating an image item with the arrow keys. Args: mod: keyboard modifier to use. """ with qt_app_context(exec_loop=False): win, tool, plot, tr_img = _setup_plot() x1_a, y1_a, x1_b, y1_b = _get_xy_coords(tr_img) plot.select_item(tr_img) # type: ignore initial_angle = tr_img.param.pos_angle # type: ignore assert initial_angle == 0 assert plot.get_selected_items() == [tr_img] for _ in range(3): keyboard_event(win, QC.Qt.Key.Key_Right, mod=mod) assert plot.get_selected_items() == [tr_img] assert tr_img.param.pos_angle > initial_angle # type: ignore for _ in range(3): keyboard_event(win, QC.Qt.Key.Key_Left, mod=mod) assert plot.get_selected_items() == [tr_img] x3_a, y3_a, x3_b, y3_b = _get_xy_coords(tr_img) assert ( np.isclose(x3_a, x1_a) and np.isclose(y3_a, y1_a) and np.isclose(x3_b, x1_b) and np.isclose(y3_b, y1_b) ) assert np.isclose(tr_img.param.pos_angle, initial_angle) # type: ignore undo_redo(win) exec_dialog(win) def test_select_all_items(): """Test selecting all items in the plot using the keyboard.""" with qt_app_context(): n = 100 x = np.arange(n) items = [ make.image(gen_image4(n, n)), make.curve(x, np.cos(x)), make.annotated_rectangle(0, 0, 10, 10), make.legend(), ] win, _tool = create_window(SelectTool, items=items) win.show() # The item list should contain none selectable items like the plot grid selectable_items = [item for item in items if item.can_select()] assert len(selectable_items) < len(win.manager.get_plot().get_items()) keyboard_event(win, QC.Qt.Key.Key_A, mod=QC.Qt.KeyboardModifier.ControlModifier) selected_items = win.manager.get_plot().get_selected_items() assert selectable_items == selected_items exec_dialog(win) @pytest.mark.requires_display def test_rotate_with_mouse(): """Test rotating an image item with the mouse.""" with qt_app_context(exec_loop=False): win, tool, plot, tr_img = _setup_plot() init_angle = tr_img.param.pos_angle # type: ignore assert init_angle == 0 assert plot.get_selected_items() == [tr_img] drag_mouse(win, np.linspace(0, 0.5, 100), np.linspace(0, 0.0, 100)) assert plot.get_selected_items() == [tr_img] assert np.isclose(abs(tr_img.param.pos_angle), 45, 0.5) # type: ignore undo_redo(win) exec_dialog(win) def test_rectangular_selection(): """Test selecting items with the rectangular selection tool.""" with qt_app_context(exec_loop=False): items = [ make.image(gen_image4(100, 100)), make.trimage(gen_image4(100, 100), x0=100.0, y0=100.0), make.curve(np.arange(100), 100.0 + 20.0 * np.cos(np.arange(100))), make.annotated_rectangle(50.0, 50.0, 100.0, 100.0), make.legend(), make.label("Test", (100.0, 100.0), (0, 0), "R"), ] is_rect_selectable = [ ( IShapeItemType in item.__implements__ or IImageItemType in item.__implements__ ) for item in items ] win, _tool = create_window(RectangularSelectionTool, items=items) win.show() drag_mouse(win, np.linspace(-0.1, 1.1, 52), np.linspace(-0.1, 1.1, 52)) selected_items = win.manager.get_plot().get_selected_items() for item, selectable in zip(items, is_rect_selectable): if selectable: assert item in selected_items exec_dialog(win) @pytest.mark.requires_display @pytest.mark.parametrize( "mouse_path, rotation", [ ((np.linspace(0.0, 0.5, 100), np.zeros(100)), True), ((np.linspace(0.5, 0.8, 100), np.linspace(0.5, 0.8, 100)), False), ], ) def test_multi_rotate_move_with_mouse( mouse_path: tuple[np.ndarray, np.ndarray], rotation: bool ): """Test rotating and moving multiple images with the mouse. Args: mouse_path: path of the mouse (drag). rotation: whether the image should rotate or not. """ n = 100 x0 = n y0 = 0 with qt_app_context(): # All images are superimposed so that it is easy to select the corners for # rotations images = [make.trimage(gen_image4(n, n), x0=x0, y0=y0) for i in range(3)] initial_angle = 0 win, _tool = create_window( SelectTool, active_item_type=IImageItemType, items=images ) win.show() keyboard_event(win, QC.Qt.Key.Key_A, mod=QC.Qt.KeyboardModifier.ControlModifier) drag_mouse(win, mouse_path[0], mouse_path[1]) if rotation: _assert_images_angle(images, ref_angle=initial_angle) else: _assert_images_pos(images, x0, y0) undo_redo(win) exec_dialog(win) @pytest.mark.parametrize( "keymod, rotation", [ (QC.Qt.KeyboardModifier.ControlModifier, False), (QC.Qt.KeyboardModifier.ShiftModifier, True), ( QC.Qt.KeyboardModifier.ControlModifier | QC.Qt.KeyboardModifier.ShiftModifier, True, ), ], ) def test_multi_rotate_move_with_keyboard( keymod: QC.Qt.KeyboardModifier, rotation: bool ): """Test rotating and moving multiple images with the keyboard. Args: keymod: keyboard modifier to use. rotation: whether the image should rotate or not. """ n = 100 x0 = n y0 = 0 with qt_app_context(): # All images are superimposed so that it is easy to select the corners for # rotations images = [make.trimage(gen_image4(n, n), x0=x0, y0=y0) for i in range(3)] win, _tool = create_window( SelectTool, active_item_type=IImageItemType, items=images ) win.show() keyboard_event(win, QC.Qt.Key.Key_A, mod=QC.Qt.KeyboardModifier.ControlModifier) for _ in range(10): # Should rotate/move left depending on modifier keyboard_event(win, QC.Qt.Key.Key_Right, mod=keymod) # Should never rotate keyboard_event(win, QC.Qt.Key.Key_Down, mod=keymod) if rotation: _assert_images_angle(images, ref_angle=0) else: _assert_images_pos(images, x0, y0) undo_redo(win) exec_dialog(win) if __name__ == "__main__": test_move_with_mouse(None) test_move_with_arrows(QC.Qt.KeyboardModifier.NoModifier) test_rotate_with_arrow(QC.Qt.KeyboardModifier.ShiftModifier) test_select_all_items() test_rotate_with_mouse() test_rectangular_selection() test_multi_rotate_move_with_mouse((np.linspace(0.0, 0.5, 100), np.zeros(100)), True) test_multi_rotate_move_with_mouse((np.linspace(0.0, 0.5, 100), np.zeros(100)), True) test_multi_rotate_move_with_keyboard( QC.Qt.KeyboardModifier.ShiftModifier, rotation=True ) PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_mask_tool.py000066400000000000000000000037271525747167300246100ustar00rootroot00000000000000from __future__ import annotations import pytest from guidata.env import execenv from guidata.qthelpers import exec_dialog, qt_app_context from plotpy.builder import make from plotpy.tests.data import gen_image4 from plotpy.tests.unit.utils import ( rel_pos_to_canvas_pos, ) from plotpy.tools.image import ImageMaskTool from plotpy.tools.shape import CircleTool, RectangleTool, RectangularShapeTool @pytest.mark.parametrize("shape_tool_cls", [RectangleTool, CircleTool]) @pytest.mark.parametrize("inside", [True, False]) def test_image_mask_tool(shape_tool_cls: type[RectangularShapeTool], inside: bool): """Test the ImageMaskTool with a shape tool. Args: shape_tool_cls: The shape tool class to use. inside: If the mask should be inside or outside the shape. """ with qt_app_context(exec_loop=False): win = make.dialog(type="image", toolbar=True) item = make.maskedimage(gen_image4(100, 100)) plot = win.manager.get_plot() plot.add_item(item) # type: ignore plot.select_item(item) # type: ignore win.show() mask_tool = win.manager.add_tool( ImageMaskTool, ) shape_tool = win.manager.add_tool( shape_tool_cls, toolbar_id=None, handle_final_shape_cb=lambda shape: mask_tool.handle_shape( shape, inside=inside ), ) shape_tool.activate() xy0, xy1 = (0.1, 0.1), (0.9, 0.9) canvas = plot.canvas() assert canvas is not None pos0, _ = rel_pos_to_canvas_pos(canvas, xy0) pos1, _ = rel_pos_to_canvas_pos(canvas, xy1) with execenv.context(accept_dialogs=True): shape_tool.add_shape_to_plot(plot, pos0, pos1) mask_tool.apply_mask() # Clear mask item.unmask_all() plot.replot() shape_tool.add_shape_to_plot(plot, pos0, pos1) mask_tool.remove_shapes() exec_dialog(win) PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_masked_dtype_change.py000066400000000000000000000101201525747167300265570ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Test for MaskedImageItem dtype changes This test verifies that changing the data type of a masked image from float to integer types (like float64 to uint8) doesn't raise RuntimeWarnings when the filling_value is NaN or None. """ from __future__ import annotations import warnings import numpy as np from plotpy.builder import make def test_masked_image_dtype_change_from_float_to_uint8(): """Test changing masked image dtype from float64 to uint8 with NaN filling_value""" # Create a float64 masked array with NaN as fill value (the default) data = np.random.rand(10, 10).astype(np.float64) mask = np.zeros_like(data, dtype=bool) mask[3:5, 3:5] = True masked_data = np.ma.masked_array(data, mask=mask) # Create masked image item item = make.maskedimage(masked_data, colormap="viridis", show_mask=True) # Verify initial state assert item.data.dtype == np.float64 # Set filling_value to NaN (typical for float images) item.param.filling_value = np.nan # Change data dtype to uint8 new_data = (masked_data * 255).astype(np.uint8) item.set_data(new_data) # This should not raise a RuntimeWarning with warnings.catch_warnings(record=True) as warning_list: warnings.simplefilter("always") item.update_mask() # Check that no RuntimeWarning was raised runtime_warnings = [ w for w in warning_list if issubclass(w.category, RuntimeWarning) ] assert len(runtime_warnings) == 0, "RuntimeWarning should not be raised" # Verify the data type changed assert item.data.dtype == np.uint8 def test_masked_image_dtype_change_with_none_filling_value(): """Test changing masked image dtype with None filling_value""" # Create a float64 masked array data = np.random.rand(10, 10).astype(np.float64) mask = np.zeros_like(data, dtype=bool) mask[3:5, 3:5] = True masked_data = np.ma.masked_array(data, mask=mask) # Create masked image item item = make.maskedimage(masked_data, colormap="viridis", show_mask=True) # Set filling_value to None item.param.filling_value = None # Change data dtype to uint8 new_data = (masked_data * 255).astype(np.uint8) item.set_data(new_data) # This should not raise a RuntimeWarning with warnings.catch_warnings(record=True) as warning_list: warnings.simplefilter("always") item.update_mask() # Check that no RuntimeWarning was raised runtime_warnings = [ w for w in warning_list if issubclass(w.category, RuntimeWarning) ] assert len(runtime_warnings) == 0, "RuntimeWarning should not be raised" def test_masked_image_filling_value_defaults(): """Test that filling_value defaults are appropriate for different dtypes""" test_dtypes = [np.uint8, np.uint16, np.int16, np.float32, np.float64] for dtype in test_dtypes: data = np.random.rand(5, 5) if np.issubdtype(dtype, np.integer): data = (data * 100).astype(dtype) else: data = data.astype(dtype) mask = np.zeros_like(data, dtype=bool) mask[2:3, 2:3] = True masked_data = np.ma.masked_array(data, mask=mask) item = make.maskedimage(masked_data, colormap="viridis", show_mask=True) # Set filling_value to NaN (typical initial state for float images) item.param.filling_value = np.nan # This should handle the conversion gracefully with warnings.catch_warnings(record=True) as warning_list: warnings.simplefilter("always") item.update_mask() # Check that no RuntimeWarning was raised runtime_warnings = [ w for w in warning_list if issubclass(w.category, RuntimeWarning) ] assert len(runtime_warnings) == 0, f"RuntimeWarning for dtype {dtype}" if __name__ == "__main__": test_masked_image_dtype_change_from_float_to_uint8() test_masked_image_dtype_change_with_none_filling_value() test_masked_image_filling_value_defaults() print("All tests passed!") PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_multiline_tools.py000066400000000000000000000043441525747167300260360ustar00rootroot00000000000000from __future__ import annotations import numpy as np import qtpy.QtCore as QC from guidata.qthelpers import exec_dialog, qt_app_context from plotpy.tests.unit.utils import ( CLICK, create_window, drag_mouse, keyboard_event, mouse_event_at_relative_plot_pos, ) from plotpy.tools import MultiLineTool, PolygonTool def __generic_polyline_tool_test( toolklass: type[MultiLineTool] | type[PolygonTool], points: np.ndarray ) -> None: """Generic polyline tool test.""" with qt_app_context(exec_loop=False): win, tool = create_window(toolklass) x0, y0 = None, None for x, y in points: if x0 is not None: x_path = np.linspace(x0, x, 10) y_path = np.linspace(y0, y, 10) drag_mouse(win, x_path, y_path) else: mouse_event_at_relative_plot_pos(win, (x, y), CLICK) x0, y0 = x, y assert tool.handler.shape is not None assert tool.handler.shape.get_points().shape == points.shape keyboard_event(win, QC.Qt.Key.Key_Backspace) points_count, _ = tool.handler.shape.get_points().shape assert points_count == (len(points) - 1) # add last point by dragging mouse drag_mouse(win, points[-2:, 0], points[-2:, 1]) points_count, _ = tool.handler.shape.get_points().shape assert points_count == len(points) keyboard_event(win, QC.Qt.Key.Key_Space) exec_dialog(win) def test_polygon_tool(): """Test the polygon tool.""" corners = np.array(((0.1, 0.1), (0.1, 0.8), (0.8, 0.8), (0.8, 0.1))) __generic_polyline_tool_test(PolygonTool, corners) def test_multiline_tool(): """Test the multi line tool.""" n = 100 # Start from 2*pi to skip the degenerate center of the spiral where adjacent # points are too close and may map to the same pixel on small canvases (this # caused the test to fail with PyQt6 due to a smaller default canvas size). t = np.linspace(2 * np.pi, np.pi * 10, n) x_arr = t * np.cos(t) / n + 0.5 y_arr = t * np.sin(t) / n + 0.5 __generic_polyline_tool_test(MultiLineTool, np.array([x_arr, y_arr]).T) if __name__ == "__main__": test_polygon_tool() test_multiline_tool() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_oblique_cross_section_tool.py000066400000000000000000000014631525747167300302450ustar00rootroot00000000000000from __future__ import annotations import numpy as np from guidata.qthelpers import exec_dialog, qt_app_context from plotpy.interfaces.items import IImageItemType from plotpy.panels.csection.cswidget import ObliqueCrossSection from plotpy.tests.unit.utils import create_window, drag_mouse from plotpy.tools import ObliqueCrossSectionTool def test_oblique_cross_section(): """Test the oblique cross section tool.""" with qt_app_context(exec_loop=False): win, _tool = create_window( ObliqueCrossSectionTool, active_item_type=IImageItemType, panels=[ObliqueCrossSection], ) n = 100 drag_mouse(win, np.linspace(0.25, 0.75, n), np.linspace(0.25, 0.75, n)) exec_dialog(win) if __name__ == "__main__": test_oblique_cross_section() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_plot_curve.py000066400000000000000000000066261525747167300250030ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Test plotting of a curve with PlotDialog""" import numpy as np from guidata.qthelpers import exec_dialog, qt_app_context from qwt import QwtPlotItem from plotpy.builder import make from plotpy.plot import PlotWidget from plotpy.tools import ( AntiAliasingTool, AxisScaleTool, CurveStatsTool, DownSamplingTool, ) def test_plot_curve_anomalies(): """Test plotting of a curve with anomalies""" x = np.array([0.0, 1.0, 2.0, 3.0, 4.0, 5.0]) dx = dy = y = x * np.nan with qt_app_context(exec_loop=False): win = make.dialog(toolbar=True, type="curve") plot = win.manager.get_plot() for curve in ( make.merror(x, y, label="Curve"), make.merror(x, y, dx, label="Curve"), make.merror(x, y, dy, label="Curve"), make.merror(x, y, dx, dy, label="Curve"), ): plot.add_item(curve) win.show() plot.do_autoscale() # Force autoscale (was crashing initially with NaN data) exec_dialog(win) def test_plot_curve(): """Test plotting of a curve with PlotDialog""" x = np.linspace(-10, 10, 200) y = np.sin(x) with qt_app_context(exec_loop=False): curve = make.curve(x, y, color="g", curvestyle="Sticks") curve.setTitle("Curve") win = make.dialog(toolbar=True, type="curve") plot = win.manager.get_plot() plot.add_item(curve) win.show() assert isinstance(win.plot_widget, PlotWidget) assert win.plot_widget.plot == plot # Check that specific curve tools are added for curve_tool_class in ( CurveStatsTool, AntiAliasingTool, AxisScaleTool, DownSamplingTool, ): tool = win.manager.get_tool(curve_tool_class) assert tool is not None, f"Tool of type {curve_tool_class} not found" exec_dialog(win) def test_plot_curve_anti_aliasing(): """Test Anti-aliasing tool""" x = np.linspace(-10, 10, 200) y = np.sin(x) with qt_app_context(exec_loop=False): curve = make.curve(x, y, color="g") win = make.dialog(toolbar=True, type="curve") plot = win.manager.get_plot() plot.add_item(curve) win.show() assert isinstance(win.plot_widget, PlotWidget) assert win.plot_widget.plot == plot anti_aliasing_tool = win.manager.get_tool(AntiAliasingTool) assert anti_aliasing_tool is not None, "AntiAliasingTool not found" original_img = plot.grab().toImage() # Activate anti aliasing anti_aliasing_tool.activate(True) assert plot.antialiased assert curve.testRenderHint(QwtPlotItem.RenderAntialiased) antialiased_img = plot.grab().toImage() assert antialiased_img != original_img # Deactivate anti aliasing anti_aliasing_tool.activate(False) assert not plot.antialiased assert not curve.testRenderHint(QwtPlotItem.RenderAntialiased) aliased_img = plot.grab().toImage() assert original_img == aliased_img exec_dialog(win) if __name__ == "__main__": test_plot_curve_anomalies() # test_plot_curve() # test_plot_curve_anti_aliasing() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_plot_image.py000066400000000000000000000123231525747167300247300ustar00rootroot00000000000000# # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Plot Image unit tests""" import contextlib import numpy as np import pytest from guidata.qthelpers import exec_dialog, qt_app_context from plotpy.builder import make from plotpy.plot import BasePlot from plotpy.tools import ColormapTool, ReverseColormapTool from plotpy.tools.image import LockTrImageTool def compute_image(): """Return a test image as numpy array""" N = 2000 x = np.array(np.linspace(-5, 5, N), np.float32) img = np.zeros((N, N), np.float32) x.shape = (1, N) img += x**2 return img @contextlib.contextmanager def plot_image(item): win = make.dialog(wintitle="Image plot test", type="image", toolbar=True) plot = win.manager.get_plot() assert isinstance(plot, BasePlot) plot.add_item(item) assert item in plot.items assert item.plot() is plot win.show() yield plot exec_dialog(win) def test_plot_image(): """Test plotting of an Image""" with qt_app_context(exec_loop=False): item = make.image(compute_image()) with plot_image(item): pass def compute_image_xy(): N = 2000 T = np.float32 x = np.array(np.linspace(-5, 5, N), T) img = np.zeros((N, N), T) x.shape = (1, N) img += x**2 x.shape = (N, 1) img += x**2 x.shape = (N,) return x, (x + 5) ** 0.6, img def test_plot_image_xy(): """Test plotting of an Image with custom XY coordinates""" with qt_app_context(exec_loop=False): item = make.xyimage(*compute_image_xy()) with plot_image(item): pass def test_plot_quad_image(): """Test plotting of an Image with custom quad coordinates""" delta = 0.025 x = np.arange(-3.0, 3.0, delta) y = np.arange(-2.0, 2.0, delta) X, Y = np.meshgrid(x, y) Z = X * Y with qt_app_context(exec_loop=False): item = make.quadgrid(X, Y, Z) with plot_image(item): pass def test_plot_tr_image(): """Test plotting of a TrImageItem""" with qt_app_context(exec_loop=False): img = compute_image() item = make.trimage(img) with plot_image(item) as plot: # translate the image and check the new bounds bounds1 = item.bounds item.set_transform(50, 25, 0) bounds2 = item.bounds assert bounds1.width() == bounds2.width() assert bounds1.height() == bounds2.height() assert bounds2.left() == bounds1.left() + 50 assert bounds2.top() == bounds1.top() + 25 # rescale the image item.set_transform(0, 0, 0, 2.0, 3.0) plot.do_autoscale() bounds3 = item.bounds assert bounds3.width() == bounds2.width() * 2.0 assert bounds3.height() == bounds2.height() * 3.0 def test_lock_tr_image(): """Test LockTrImageTool""" with qt_app_context(exec_loop=True): win = make.dialog(type="image", toolbar=True) win.show() item = make.trimage(compute_image()) # with plot_image(item) as plot: plot = win.manager.get_plot() plot.add_item(item) plot.select_item(item) tool = win.manager.add_tool(LockTrImageTool) tool.activate() assert item.is_locked() tool.activate(False) assert not item.is_locked() exec_dialog(win) @pytest.mark.parametrize("ratio", [1.0, 0.75, 1.5, 2.0, 3.0]) def test_set_aspect_ratio(ratio): """Test BasePlot.set_aspect_ratio method() It ensures that the new height is correctly set.""" with qt_app_context(exec_loop=False): win = make.dialog(type="image") item = make.image(compute_image()) plot = win.manager.get_plot() plot.add_item(item, autoscale=False) win.show() x0, x1, y0, y1 = plot.get_plot_limits() plot.set_aspect_ratio(ratio, True) assert plot.get_aspect_ratio() == ratio exec_dialog(win) def test_colormap_tools(): """Test ColorMapTool and ReverseColormapTool on an image""" with qt_app_context(exec_loop=False): win = make.dialog(type="image", toolbar=True) item = make.image(compute_image()) plot = win.manager.get_plot() plot.add_item(item) win.show() # default color map should be "jet" color_map_tool = win.manager.get_tool(ColormapTool) cmap = item.get_color_map() assert cmap.name == "jet" jet_img = plot.grab().toImage() # change the colormap plot.select_item(item) cmap_name = "accent" color_map_tool.activate_cmap(cmap_name) cmap = item.get_color_map() assert cmap.name == cmap_name accent_img = plot.grab().toImage() assert jet_img != accent_img # reverse the colormap reverse_tool = win.manager.get_tool(ReverseColormapTool) assert not cmap.invert, "Colormap should not be inverted" reverse_tool.activate() cmap = item.get_color_map() assert cmap.invert, "Colormap should be inverted" exec_dialog(win) PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_rect_zoom.py000066400000000000000000000040431525747167300246110ustar00rootroot00000000000000from __future__ import annotations from typing import Callable import numpy as np from guidata.qthelpers import exec_dialog, qt_app_context from numpy import linspace from plotpy.interfaces.items import ICurveItemType from plotpy.tests.unit.utils import create_window, drag_mouse from plotpy.tools import RectZoomTool def zoom( x_path: np.ndarray, y_path: np.ndarray, compare: Callable[[float, float], bool] ): """Zoom in or out on a plot by sumilating a mouse drag along a defined path. Args: x_path: The x relative plot coordinates of the path to simulate the mouse drag along. y_path: The y relative plot coordinates of the path to simulate the mouse drag along. compare: Comparison function to compare the initial and final axis limits to check if the zoom worked as expected. """ with qt_app_context(exec_loop=False): win, _tool = create_window(RectZoomTool, active_item_type=ICurveItemType) plot = win.manager.get_plot() initial_axis_limits = [ plot.get_axis_limits(axis) for axis in plot.get_active_axes() ] drag_mouse(win, x_path, y_path) final_axis_limits = [ plot.get_axis_limits(axis) for axis in plot.get_active_axes() ] print(initial_axis_limits) print(final_axis_limits) assert all( map( lambda og, final: compare(og[1], final[1]), initial_axis_limits, final_axis_limits, ) ) exec_dialog(win) def test_rect_zoom_tool(): """Test the rectangular zoom tool.""" x_path = linspace(0, 0.5, 100) y_path = linspace(0, 0.4, 100) zoom(x_path, y_path, lambda og, final: final < og) def test_rect_unzoom_tool(): """Test the rectangular zoom tool to unzoom.""" x_path = linspace(-0.5, 1.5, 100) y_path = linspace(-0.5, 1.5, 100) zoom(x_path, y_path, lambda og, final: abs(final) > abs(og)) if __name__ == "__main__": test_rect_zoom_tool() test_rect_unzoom_tool() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_seg_dist.py000066400000000000000000000014511525747167300244110ustar00rootroot00000000000000import numpy as np import pytest import qtpy.QtCore as QC from plotpy.items.curve.base import seg_dist, seg_dist_v param_list = [ ((200, 100), (150, 196), (250, 180), 86), ((200, 100), (190, 196), (210, 180), 80), ((201, 105), (201, 196), (201, 180), 75), ] @pytest.mark.parametrize("point_1,point_2,point_3,output", param_list) def test_seg_dist(point_1, point_2, point_3, output): """ """ ret = seg_dist(QC.QPointF(*point_1), QC.QPointF(*point_2), QC.QPointF(*point_3)) assert int(ret) == output def test_seg_dist_v(): """Test de seg_dist_v""" a = (np.arange(10.0) ** 2).reshape(5, 2) ix, dist = seg_dist_v((2.1, 3.3), a[:-1, 0], a[:-1, 1], a[1:, 0], a[1:, 1]) assert ix == 0 assert round(dist, 2) == 0.85 if __name__ == "__main__": test_seg_dist_v() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_snapshot_original_size.py000066400000000000000000000154721525747167300273750ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Unit tests for the rectangular snapshot tool's "Original size" computation. This test reproduces the issue reported in PlotPyStack/PlotPy#57: The "Original size" option in the rectangular snapshot tool does not behave correctly under certain conditions: * When the Y axis is not reversed (image-style plot) * When the X axis is reversed * When using an XYImageItem In these cases, the "Original size" preview may display negative values or incorrect dimensions. The computation appears to rely on axis scaling rather than pixel coordinates, particularly for ``XYImageItem``. Additionally, a ``ValueError`` is raised when either axis leads to negative values. """ from __future__ import annotations import numpy as np import pytest from guidata.qthelpers import qt_app_context from qtpy import QtCore as QC from plotpy.builder import make from plotpy.items import ( compute_image_items_original_size, compute_trimageitems_original_size, ) from plotpy.tests import vistools as ptv # Image used by the tests (rows = Y, cols = X) NB_ROWS, NB_COLS = 100, 200 def _canvas_points(plot, x0_plot, y0_plot, x1_plot, y1_plot): """Convert plot-coordinate corners into canvas QPointF, the way the snapshot tool builds them from a rubber-band rectangle.""" from plotpy.constants import X_BOTTOM, Y_LEFT x0c = plot.transform(X_BOTTOM, x0_plot) x1c = plot.transform(X_BOTTOM, x1_plot) y0c = plot.transform(Y_LEFT, y0_plot) y1c = plot.transform(Y_LEFT, y1_plot) # Mimic the tool: p0 is top-left, p1 is bottom-right (in canvas pixels) p0 = QC.QPointF(min(x0c, x1c), min(y0c, y1c)) p1 = QC.QPointF(max(x0c, x1c), max(y0c, y1c)) return p0, p1 def test_compute_trimageitems_original_size_handles_reversed_axes(): """Regression: ``compute_trimageitems_original_size`` must return positive dimensions even when the source rectangle is given with negative width or height (which happens on reversed axes).""" # No items: legacy fallback path w, h = compute_trimageitems_original_size([], -50.0, -25.0) assert w == 50.0 and h == 25.0 def _expected_pixel_size(x0, y0, x1, y1): """Original (pixel) size for a selection on a non-transformed image spanning [0, NB_COLS] x [0, NB_ROWS] in plot units.""" return abs(x1 - x0), abs(y1 - y0) @pytest.mark.parametrize( "xreverse,yreverse", [(False, False), (False, True), (True, False), (True, True)], ) def test_snapshot_original_size_with_image_item(xreverse, yreverse): """Original size must be positive and equal to the pixel selection size, regardless of axis orientation, for a regular ``ImageItem``.""" data = np.arange(NB_ROWS * NB_COLS, dtype=np.float64).reshape(NB_ROWS, NB_COLS) with qt_app_context(exec_loop=False): image = make.image(data) win = ptv.show_items([image], plot_type="image", auto_tools=False) plot = win.manager.get_plot() plot.set_axis_direction("bottom", xreverse) plot.set_axis_direction("left", yreverse) plot.replot() # Selection in plot coordinates: a 40x30 pixel rectangle x0, y0, x1, y1 = 30.0, 20.0, 70.0, 50.0 p0, p1 = _canvas_points(plot, x0, y0, x1, y1) width, height = compute_image_items_original_size([image], plot, p0, p1) exp_w, exp_h = _expected_pixel_size(x0, y0, x1, y1) # Allow 1 pixel tolerance for canvas rounding assert width > 0 and height > 0 assert abs(width - exp_w) <= 1.5 assert abs(height - exp_h) <= 1.5 win.close() def test_snapshot_original_size_with_xy_image_item(): """For an ``XYImageItem``, the original size must be expressed in **pixel** coordinates (independent of axis scaling), not in axis units.""" data = np.arange(NB_ROWS * NB_COLS, dtype=np.float64).reshape(NB_ROWS, NB_COLS) # Non-trivial axis scaling: 1 pixel == 5 axis units (X), 2 axis units (Y) x = np.linspace(0.0, NB_COLS * 5.0, NB_COLS + 1) y = np.linspace(0.0, NB_ROWS * 2.0, NB_ROWS + 1) with qt_app_context(exec_loop=False): image = make.xyimage(x, y, data) win = ptv.show_items([image], plot_type="image", auto_tools=False) plot = win.manager.get_plot() plot.replot() # Selection spanning ~40 columns and ~30 rows in pixel space: x0, x1 = 30.0 * 5.0, 70.0 * 5.0 # 40 columns y0, y1 = 20.0 * 2.0, 50.0 * 2.0 # 30 rows p0, p1 = _canvas_points(plot, x0, y0, x1, y1) width, height = compute_image_items_original_size([image], plot, p0, p1) # Must be in pixel units, not axis units (axis units would give # ~200 x ~60 instead of ~40 x ~30) assert width > 0 and height > 0 assert abs(width - 40) <= 5 assert abs(height - 30) <= 5 win.close() @pytest.mark.parametrize("make_factory", ["image", "xyimage"]) def test_snapshot_original_size_selection_larger_than_image(make_factory): """When the selection is larger than the plotted image, the "Original size" must reflect the **native pixel resolution** of the selection (i.e. the number of source pixels the selection would cover at the item's pixel density), not the clipped image size โ€” so that exporting at "Original size" preserves the source pixel density and the image is not upsampled. Both ``ImageItem`` and ``XYImageItem`` must agree on this: this is the consistency fix for the off-by-one / inconsistency reported in #57 (99x99 for XYImageItem vs. oversized for ImageItem on a 100x100 image โ€” they must now both give the same oversized value). """ data = np.arange(NB_ROWS * NB_COLS, dtype=np.float64).reshape(NB_ROWS, NB_COLS) with qt_app_context(exec_loop=False): if make_factory == "image": image = make.image(data) else: x = np.linspace(0.0, float(NB_COLS), NB_COLS + 1) y = np.linspace(0.0, float(NB_ROWS), NB_ROWS + 1) image = make.xyimage(x, y, data) win = ptv.show_items([image], plot_type="image", auto_tools=False) plot = win.manager.get_plot() plot.replot() # Selection much larger than the image (negative lower bound, upper # bound well beyond the image): x0, y0, x1, y1 = -50.0, -50.0, NB_COLS + 50.0, NB_ROWS + 50.0 p0, p1 = _canvas_points(plot, x0, y0, x1, y1) width, height = compute_image_items_original_size([image], plot, p0, p1) # Native pixel resolution of the (oversized) selection: 200 px wide # selection on a 100 axis-unit / 100 px image -> 200 px exp_w = (x1 - x0) * NB_COLS / float(NB_COLS) # = 200 exp_h = (y1 - y0) * NB_ROWS / float(NB_ROWS) # = 200 assert abs(width - exp_w) <= 2 assert abs(height - exp_h) <= 2 win.close() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_styles.py000066400000000000000000000075751525747167300241500ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Styles unit tests""" import gettext import unittest from qtpy import QtCore as QC from qtpy import QtGui as QG from qwt import QwtSymbol from plotpy.config import UserConfig, _ from plotpy.items import Marker from plotpy.styles.base import LineStyleParam, SymbolParam from plotpy.styles.shape import MarkerParam gettext.install("test") CONF = UserConfig({}) CONF.set_application("plotpy", version="0.0.0", load=False) class TestSymbol(unittest.TestCase): def test_default(self): sym = SymbolParam(_("Symbol")) _obj = sym.build_symbol() def test_update(self): obj = QwtSymbol( QwtSymbol.Rect, QG.QBrush(QC.Qt.black), QG.QPen(QC.Qt.yellow), QC.QSize(3, 3), ) sym = SymbolParam(_("Symbol")) sym.update_param(obj) self.assertEqual(sym.marker, "Rect") self.assertEqual(sym.size, 3) self.assertEqual(sym.edgecolor, "#ffff00") self.assertEqual(sym.facecolor, "#000000") def test_saveconfig(self): sym = SymbolParam(_("Symbol")) sym.write_config(CONF, "sym", "") sym = SymbolParam(_("Symbol")) sym.read_config(CONF, "sym", "") def test_changeconfig(self): obj = QwtSymbol( QwtSymbol.Rect, QG.QBrush(QC.Qt.black), QG.QPen(QC.Qt.yellow), QC.QSize(3, 3), ) sym = SymbolParam(_("Symbol")) sym.update_param(obj) sym.write_config(CONF, "sym", "") sym = SymbolParam(_("Symbol")) sym.read_config(CONF, "sym", "") self.assertEqual(sym.marker, "Rect") self.assertEqual(sym.size, 3) self.assertEqual(sym.edgecolor, "#ffff00") self.assertEqual(sym.facecolor, "#000000") sym.build_symbol() class TestLineStyle(unittest.TestCase): def test_default(self): ls = LineStyleParam(_("Line style")) _obj = ls.build_pen() def test_update(self): obj = QG.QPen(QC.Qt.red, 2, QC.Qt.SolidLine) ls = LineStyleParam(_("Line style")) ls.update_param(obj) self.assertEqual(ls.width, 2) self.assertEqual(ls.style, "SolidLine") self.assertEqual(ls.color, "#ff0000") class TestMarkerParam(unittest.TestCase): def test_update_param_preserves_unselected_style_when_selected(self): param = MarkerParam(_("Marker")) param.line.color = "#ff0000" param.symbol.facecolor = "#ffff00" param.text.textcolor = "#0000ff" param.sel_line.color = "#00ff00" param.sel_symbol.facecolor = "#00ffff" param.sel_text.textcolor = "#ff00ff" marker = Marker(markerparam=param) marker.select() marker.update_item_parameters() self.assertEqual(marker.markerparam.line.color, "#ff0000") self.assertEqual(marker.markerparam.symbol.facecolor, "#ffff00") self.assertEqual(marker.markerparam.text.textcolor, "#0000ff") self.assertEqual(marker.markerparam.sel_line.color, "#00ff00") self.assertEqual(marker.markerparam.sel_symbol.facecolor, "#00ffff") self.assertEqual(marker.markerparam.sel_text.textcolor, "#ff00ff") def test_saveconfig(self): ls = LineStyleParam(_("Line style")) ls.write_config(CONF, "ls", "") ls = LineStyleParam(_("Line style")) ls.read_config(CONF, "ls", "") def test_changeconfig(self): obj = QG.QPen(QC.Qt.red, 2, QC.Qt.SolidLine) ls = LineStyleParam(_("Line style")) ls.update_param(obj) ls.write_config(CONF, "ls", "") ls = LineStyleParam(_("Line style")) ls.read_config(CONF, "ls", "") self.assertEqual(ls.width, 2) self.assertEqual(ls.style, "SolidLine") self.assertEqual(ls.color, "#ff0000") if __name__ == "__main__": unittest.main() PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/test_tools_export.py000066400000000000000000000017351525747167300253560ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Export tools unit tests""" from unittest.mock import patch import numpy as np from guidata.qthelpers import qt_app_context from qtpy import QtWidgets as QW from plotpy.builder import make from plotpy.tools.curve import export_curve_data def test_export_curve(tmpdir): """Test export of a curve""" x = np.linspace(-10, 10, 200) y = x + 1 with qt_app_context(exec_loop=False): curve = make.curve(x, y, color="g") dest = tmpdir / "output.txt" with patch.object(QW.QFileDialog, "getSaveFileName") as gsf_mock: gsf_mock.return_value = (str(dest), "") export_curve_data(curve) assert dest.exists() data = dest.readlines() assert len(data) == 200 for line in data: x, y = line.split(",") assert float(y) == float(x) + 1 PlotPyStack-PlotPy-2af0906/plotpy/tests/unit/utils.py000066400000000000000000000171241525747167300227150ustar00rootroot00000000000000from __future__ import annotations import time from typing import TYPE_CHECKING, TypeVar, Union import qtpy.QtCore as QC import qtpy.QtGui as QG import qtpy.QtWidgets as QW from qwt import QwtPlotItem from plotpy.interfaces.items import ICurveItemType, IItemType from plotpy.plot.base import BasePlot from plotpy.tests import vistools as ptv from plotpy.tests.features.test_auto_curve_image import make_curve_image_legend from plotpy.tools import CommandTool, InteractiveTool if TYPE_CHECKING: import numpy as np from plotpy.panels.base import PanelWidget from plotpy.plot.plotwidget import PlotDialog, PlotWindow CLICK = (QC.QEvent.Type.MouseButtonPress, QC.QEvent.Type.MouseButtonRelease) ToolT = TypeVar("ToolT", bound=Union[InteractiveTool, CommandTool]) def rel_pos_to_canvas_pos( canvas: BasePlot, relative_xy: tuple[float, float] ) -> tuple[QC.QPointF, QC.QPointF]: """Computes and return the relative position on the canvas and the corresponding abolute position in the window. Args: canvas: Plot canvas relative_xy: Relative position on the canvas (0 < xy <1) Returns: Tuple of the relative position on the canvas and the corresponding absolute position in the window. """ size = canvas.size() pos_x, pos_y = ( relative_xy[0] * size.width(), relative_xy[1] * size.height(), ) canvas_pos = QC.QPointF(pos_x, pos_y) return canvas_pos, QC.QPointF(canvas.mapToGlobal(canvas_pos.toPoint())) def keyboard_event( win: PlotDialog | PlotWindow, key: QC.Qt.Key, mod=QC.Qt.KeyboardModifier.NoModifier, ): """Simulates a keyboard event on the plot. Args: win: window containing the plot key: Key to simulate mod: Keyboard modifier. Defaults to QC.Qt.KeyboardModifier.NoModifier. Returns: None """ plot = win.manager.get_plot() canva: QW.QWidget = plot.canvas() # type: ignore key_event = QG.QKeyEvent(QC.QEvent.Type.KeyPress, key, mod) qapp = QW.QApplication.instance() qapp.sendEvent(canva, key_event) def undo(win: PlotWindow): keyboard_event(win, QC.Qt.Key.Key_Z, mod=QC.Qt.KeyboardModifier.ControlModifier) def redo(win: PlotWindow): keyboard_event(win, QC.Qt.Key.Key_Y, mod=QC.Qt.KeyboardModifier.ControlModifier) def undo_redo(win: PlotWindow): undo(win) time.sleep(0.1) redo(win) def new_wheel_event( canvas: BasePlot, pos_xy: tuple[float, float], angle_delta: int, pix_delta: int, btns: QC.Qt.MouseButton = QC.Qt.MouseButton.NoButton, mods=QC.Qt.KeyboardModifier.NoModifier, ) -> QG.QWheelEvent: canva_pos, glob_pos = rel_pos_to_canvas_pos(canvas, pos_xy) angle_delta = QC.QPoint(0, angle_delta) # Scroll distance in eighths of a degree pix_delta = QC.QPoint(0, pix_delta) # Scroll distance in pixels phase = QC.Qt.ScrollPhase.NoScrollPhase inverted = False # Create QWheelEvent return QG.QWheelEvent( canva_pos, glob_pos, pix_delta, angle_delta, btns, mods, phase, inverted ) def scroll_wheel( win: PlotDialog | PlotWindow, relative_xy: tuple[float, float], angle_delta: int, pix_delta: int = 0, btns: QC.Qt.MouseButton = QC.Qt.MouseButton.NoButton, mods=QC.Qt.KeyboardModifier.NoModifier, ) -> None: """Simulates a scroll wheel event on the plot at the given relative position. Args: win: window containing the plot relative_xy: Relative position of the click on the plot angle_delta: Scroll distance in eighths of a degree pix_delta: Scroll distance in pixels. Defaults to 0. btns: Mouse buttons. Defaults to QC.Qt.MouseButton.NoButton. mod: Keyboard modifier. Defaults to QC.Qt.KeyboardModifier.NoModifier. Returns: None """ plot = win.manager.get_plot() canvas: BasePlot = plot.canvas() # type: ignore wheel_event = new_wheel_event( canvas, relative_xy, angle_delta, pix_delta, btns, mods ) qapp = QW.QApplication.instance() qapp.sendEvent(canvas, wheel_event) def mouse_event_at_relative_plot_pos( win: PlotDialog | PlotWindow, relative_xy: tuple[float, float], click_types: tuple[QC.QEvent.Type, ...] = (QC.QEvent.Type.MouseButtonPress,), mod=QC.Qt.KeyboardModifier.NoModifier, btn=QC.Qt.MouseButton.LeftButton, ) -> None: """Simulates a click on the plot at the given relative position. Args: win: window containing the plot relative_xy: Relative position of the click on the plot click_types: Different mouse button event types to send. Defaults to (QC.QEvent.Type.MouseButtonPress,). mod: Keyboard modifier. Defaults to QC.Qt.KeyboardModifier.NoModifier. Returns: None """ plot = win.manager.get_plot() canvas = plot.canvas() canvas_pos, _ = rel_pos_to_canvas_pos(canvas, relative_xy) qapp = QW.QApplication.instance() for type_ in click_types: mouse_event = QG.QMouseEvent( type_, canvas_pos, QC.QPointF(canvas.mapToGlobal(canvas_pos.toPoint())), btn, btn, mod, ) qapp.sendEvent(canvas, mouse_event) def drag_mouse( win: PlotWindow, x_path: np.ndarray, y_path: np.ndarray, mod=QC.Qt.KeyboardModifier.NoModifier, btn=QC.Qt.MouseButton.LeftButton, click=True, ) -> None: """Simulates a mouse drag on the plot. Args: win: window containing the plot x_path: relative x plot coordinates of the path to simulate the mouse drag along y_path: relative y plot coordinates of the path to simulate the mouse drag along mod: keyboard modifier. Defaults to QC.Qt.KeyboardModifier.NoModifier. click: Whether a click must be simulated (mouse hold -> drag -> mouse release). Defaults to True. """ x0, y0 = x_path[0], y_path[0] xn, yn = x_path[-1], y_path[-1] press = (QC.QEvent.Type.MouseButtonPress,) move = (QC.QEvent.Type.MouseMove,) release = (QC.QEvent.Type.MouseButtonRelease,) if click: mouse_event_at_relative_plot_pos(win, (x0, y0), press, mod, btn) for x, y in zip(x_path, y_path): mouse_event_at_relative_plot_pos(win, (x, y), move, mod, btn) if click: mouse_event_at_relative_plot_pos(win, (xn, yn), release, mod, btn) def create_window( tool_class: type[ToolT], active_item_type: type[IItemType] | None = ICurveItemType, panels: list[type[PanelWidget]] | None = None, items: list[QwtPlotItem] | None = None, ) -> tuple[PlotWindow, ToolT]: """Create a window with the given tool. The plot contains a curve, an image and a legend. Args: tool_class: tool class to add to the window. active_item_type: Type of Item to set to active (curve or image). Defaults to ICurveItemType. panels: PanelWidget classes to add. Defaults to None. Returns: The window containing the activated tool and the tool instance itself. """ if items is None: items = make_curve_image_legend() win = ptv.show_items(items, wintitle="Unit test plot", auto_tools=False) plot = win.manager.get_plot() for item in items: plot.set_active_item(item) if active_item_type is None: plot.unselect_all() last_active_item = None else: last_active_item = plot.get_last_active_item(active_item_type) if last_active_item is not None: plot.set_active_item(last_active_item) if panels is not None: for panel in panels: win.manager.add_panel(panel()) tool = win.manager.add_tool(tool_class) tool.activate() return win, tool PlotPyStack-PlotPy-2af0906/plotpy/tests/vistools.py000066400000000000000000000030441525747167300224540ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Visualisation tools for plotpy tests""" from __future__ import annotations from typing import TYPE_CHECKING from plotpy.builder import make if TYPE_CHECKING: from plotpy.items import BaseImageItem, CurveItem, QuiverItem from plotpy.plot import PlotDialog def show_items( items: list[CurveItem | BaseImageItem | QuiverItem], plot_type: str = "auto", wintitle: str = "Plot items", title: str = "Title", xlabel: str = "X", ylabel: str = "Y", auto_tools: bool = True, lock_aspect_ratio: bool | None = None, curve_antialiasing: bool | None = None, show_itemlist: bool = True, show_contrast: bool = False, winsize: tuple[int, int] | None = None, disable_readonly_for_items: bool = True, ) -> PlotDialog: """Show plot items in a dialog box""" winsize = (640, 480) if winsize is None else winsize win = make.dialog( edit=False, toolbar=True, wintitle=wintitle, title=title, xlabel=xlabel, ylabel=ylabel, type=plot_type, auto_tools=auto_tools, lock_aspect_ratio=lock_aspect_ratio, curve_antialiasing=curve_antialiasing, show_itemlist=show_itemlist, show_contrast=show_contrast, size=winsize, ) plot = win.manager.get_plot() for item in items: plot.add_item(item) if disable_readonly_for_items: plot.set_items_readonly(False) win.show() return win PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/000077500000000000000000000000001525747167300216655ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/__init__.py000066400000000000000000000000001525747167300237640ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_dotarraydemo.py000066400000000000000000000156571525747167300260060ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Dot array example ================= Example showing how to create a custom item (drawing dots of variable size) and integrate the associated `guidata` dataset (GUI-based form) to edit its parameters (directly into the same window as the plot itself, *and* within the custom item parameters: right-click on the selectable item to open the associated dialog box). """ # guitest: show from __future__ import annotations from typing import TYPE_CHECKING import guidata.dataset as gds import guidata.dataset.qtwidgets as gdq import numpy as np from guidata.configtools import get_image_file_path from guidata.qthelpers import qt_app_context from qtpy import QtCore as QC from qtpy import QtGui as QG from qtpy import QtWidgets as QW import plotpy.config # Loading icons # noqa: F401 from plotpy.interfaces import IImageItemType from plotpy.items import RawImageItem from plotpy.items.curve.errorbar import vmap from plotpy.plot import PlotDialog, PlotOptions from plotpy.styles import RawImageParam from plotpy.tools import CopyToClipboardTool, HelpTool, PrintTool, SaveAsTool if TYPE_CHECKING: from plotpy.interfaces import IItemType class DotArrayParam(gds.DataSet): """Dot array""" def _update_cb(self, *args): """Update callback, to be overriden""" pass g1 = gds.BeginGroup("Size of the area") dim_h = gds.FloatItem("Width", default=20.0, min=0.0, unit="mm") dim_v = gds.FloatItem("Height", default=20.0, min=0.0, unit="mm") _g1 = gds.EndGroup("Size of the area") g2 = gds.BeginGroup("Grid pattern properties") step_x = gds.FloatItem("Step in X-axis", default=1.0, min=1.0, unit="mm") step_y = gds.FloatItem("Step in Y-axis", default=1.0, min=1.0, unit="mm") size = gds.FloatItem( "Dot size", default=0.2, min=0.0, max=2.0, slider=True, unit="mm" ) color = gds.ColorItem("Dot color", default="red") _g2 = gds.EndGroup("Grid pattern properties") def update_item(self, obj): """Update item from parameters""" self._update_cb() def update_param(self, obj): """Update parameters from object""" pass class DotArrayRawImageParam(RawImageParam, DotArrayParam): pass class DotArrayItem(RawImageItem): """Dot array item""" def __init__(self, param=None): super().__init__(np.zeros((1, 1)), param) self.update_border() def boundingRect(self): """Reimplemented to return the bounding rectangle of the item""" param = self.param if param is not None: return QC.QRectF( QC.QPointF(-0.5 * param.size, -0.5 * param.size), QC.QPointF( param.dim_h + 0.5 * param.size, param.dim_v + 0.5 * param.size ), ) def types(self) -> tuple[type[IItemType], ...]: """Returns a group or category for this item. This should be a tuple of class objects inheriting from IItemType Returns: tuple: Tuple of class objects inheriting from IItemType """ return (IImageItemType,) def draw_image(self, painter, canvasRect, srcRect, dstRect, xMap, yMap): """Draw image""" if self.warn_if_non_linear_scale(painter, canvasRect): return painter.setRenderHint(QG.QPainter.Antialiasing, True) param = self.param xcoords = vmap(xMap, np.arange(0, param.dim_h + 1, param.step_x)) ycoords = vmap(yMap, np.arange(0, param.dim_v + 1, param.step_y)) rx = 0.5 * param.size * xMap.pDist() / xMap.sDist() ry = 0.5 * param.size * yMap.pDist() / yMap.sDist() color = QG.QColor(param.color) painter.setPen(QG.QPen(color)) painter.setBrush(QG.QBrush(color)) for xc in xcoords: for yc in ycoords: painter.drawEllipse(QC.QPointF(xc, yc), rx, ry) class CustomHelpTool(HelpTool): """Custom help tool""" def activate_command(self, plot, checked): """Activate command""" QW.QMessageBox.information( plot, "Help", """**to be customized** Keyboard/mouse shortcuts: - single left-click: item (curve, image, ...) selection - single right-click: context-menu relative to selected item - shift: on-active-curve (or image) cursor - alt: free cursor - left-click + mouse move: move item (when available) - middle-click + mouse move: pan - right-click + mouse move: zoom""", ) class DotArrayDialog(PlotDialog): """Dot array dialog""" def __init__(self): self.item = None self.stamp_gbox = None super().__init__( title="Dot array example", options=PlotOptions(title="Main plot", type="image"), toolbar=True, edit=True, ) self.resize(900, 600) def register_tools(self): """Register tools""" manager = self.plot_widget.manager manager.register_standard_tools() manager.add_separator_tool() manager.add_tool(SaveAsTool) manager.add_tool(CopyToClipboardTool) manager.add_tool(PrintTool) manager.add_tool(CustomHelpTool) manager.activate_default_tool() plot = manager.get_plot() plot.enableAxis(plot.yRight, False) plot.set_aspect_ratio(lock=True) def populate_plot_layout(self): """Populate the plot layout Reimplements the method from PlotDialog""" self.add_widget(self.plot_widget, row=0, column=0, rowspan=3, columnspan=1) logo_path = get_image_file_path("plotpy.svg") logo = QW.QLabel() logo.setPixmap(QG.QPixmap(logo_path)) logo.setAlignment(QC.Qt.AlignCenter) self.add_widget(logo, 1, 1) logo_txt = QW.QLabel("Powered by plotpy") logo_txt.setAlignment(QC.Qt.AlignHCenter | QC.Qt.AlignTop) self.add_widget(logo_txt, 2, 1) self.stamp_gbox = gdq.DataSetEditGroupBox("Dots", DotArrayParam) self.stamp_gbox.SIG_APPLY_BUTTON_CLICKED.connect(self.apply_params) self.add_widget(self.stamp_gbox, 0, 1) def show_data(self, param): """Show data""" plot = self.plot_widget.plot if self.item is None: itemparam = DotArrayRawImageParam() gds.update_dataset(itemparam, param) param._update_cb = lambda: self.stamp_gbox.get() self.item = DotArrayItem(itemparam) plot.add_item(self.item) else: gds.update_dataset(self.item.param, param) self.item.update_border() plot.do_autoscale() def apply_params(self): """Apply parameters""" param = self.stamp_gbox.dataset self.show_data(param) def test_dot_array(): """Test dot array dialog""" with qt_app_context(exec_loop=True): dlg = DotArrayDialog() dlg.apply_params() dlg.show() if __name__ == "__main__": test_dot_array() PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_filtertest1.py000066400000000000000000000051101525747167300255410ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Simple filter testing application based on PyQt and plotpy""" # guitest: show import numpy as np import scipy.ndimage as spi import scipy.signal as sps from guidata.configtools import get_icon from guidata.qthelpers import qt_app_context from qtpy import QtWidgets as QW import plotpy.config # Loading icons # noqa: F401 from plotpy.builder import make class FilterTestWidget(QW.QWidget): """ Filter testing widget parent: parent widget (QWidget) x, y: NumPy arrays func: function object (the signal filter to be tested) """ def __init__(self, parent, x, y, func): QW.QWidget.__init__(self, parent) self.setMinimumSize(320, 200) self.x = x self.y = y self.func = func # ---plotpy curve item attribute: self.curve_item = None # --- def setup_widget(self, title): # ---Create the plot widget: plotwidget = make.widget(self, type="curve") self.curve_item = make.curve([], [], color="b") plotwidget.plot.add_item(self.curve_item) plotwidget.plot.set_antialiasing(True) # --- button = QW.QPushButton("Test filter: {}".format(title)) button.clicked.connect(self.process_data) vlayout = QW.QVBoxLayout() vlayout.addWidget(plotwidget) vlayout.addWidget(button) self.setLayout(vlayout) self.update_curve() def process_data(self): self.y = self.func(self.y) self.update_curve() def update_curve(self): # ---Update curve self.curve_item.set_data(self.x, self.y) self.curve_item.plot().replot() # --- class WindowTest(QW.QWidget): def __init__(self): QW.QWidget.__init__(self) self.setWindowTitle("Signal filtering (plotpy)") self.setWindowIcon(get_icon("plotpy.svg")) hlayout = QW.QHBoxLayout() self.setLayout(hlayout) def add_plot(self, x, y, func, title): widget = FilterTestWidget(self, x, y, func) widget.setup_widget(title) self.layout().addWidget(widget) def test_filter1(): """Testing this simple Qt/plotpy example""" x = np.linspace(-10, 10, 500) y = np.random.rand(len(x)) + 5 * np.sin(2 * x**2) / x with qt_app_context(exec_loop=True): win = WindowTest() win.add_plot(x, y, lambda x: spi.gaussian_filter1d(x, 1.0), "Gaussian") win.add_plot(x, y, sps.wiener, "Wiener") win.show() if __name__ == "__main__": test_filter1() PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_filtertest2.py000066400000000000000000000065271525747167300255570ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Simple filter testing application based on PyQt and plotpy filtertest1.py + plot manager""" # guitest: show import numpy as np import scipy.ndimage as spi import scipy.signal as sps from guidata.configtools import get_icon from guidata.qthelpers import qt_app_context, win32_fix_title_bar_background from qtpy import QtWidgets as QW import plotpy.config # Loading icons # noqa: F401 from plotpy.builder import make from plotpy.plot import BasePlot, BasePlotOptions from plotpy.plot.manager import PlotManager class FilterTestWidget(QW.QWidget): """ Filter testing widget parent: parent widget (QWidget) x, y: NumPy arrays func: function object (the signal filter to be tested) """ def __init__(self, parent, x, y, func): QW.QWidget.__init__(self, parent) self.setMinimumSize(320, 200) self.x = x self.y = y self.func = func # ---plotpy related attributes: self.plot = None self.curve_item = None # --- def setup_widget(self, title): # ---Create the plot widget: self.plot = BasePlot(self, options=BasePlotOptions(type="curve")) self.curve_item = make.curve([], [], color="b") self.plot.add_item(self.curve_item) self.plot.set_antialiasing(True) # --- button = QW.QPushButton("Test filter: {}".format(title)) button.clicked.connect(self.process_data) vlayout = QW.QVBoxLayout() vlayout.addWidget(self.plot) vlayout.addWidget(button) self.setLayout(vlayout) self.update_curve() def process_data(self): self.y = self.func(self.y) self.update_curve() def update_curve(self): # ---Update curve self.curve_item.set_data(self.x, self.y) self.plot.replot() # --- class WindowTest(QW.QMainWindow): def __init__(self): super().__init__() win32_fix_title_bar_background(self) self.setWindowTitle("Signal filtering 2 (plotpy)") self.setWindowIcon(get_icon("plotpy.svg")) hlayout = QW.QHBoxLayout() central_widget = QW.QWidget(self) central_widget.setLayout(hlayout) self.setCentralWidget(central_widget) # ---plotpy plot manager self.manager = PlotManager(self) # --- def add_plot(self, x, y, func, title): widget = FilterTestWidget(self, x, y, func) widget.setup_widget(title) self.centralWidget().layout().addWidget(widget) # ---Register plot to manager self.manager.add_plot(widget.plot) # --- def setup_window(self): # ---Add toolbar and register manager tools toolbar = self.addToolBar("tools") self.manager.add_toolbar(toolbar, id(toolbar)) self.manager.register_all_curve_tools() # --- def test_filter2(): """Testing this simple Qt/plotpy example""" x = np.linspace(-10, 10, 500) y = np.random.rand(len(x)) + 5 * np.sin(2 * x**2) / x with qt_app_context(exec_loop=True): win = WindowTest() win.add_plot(x, y, lambda x: spi.gaussian_filter1d(x, 1.0), "Gaussian") win.add_plot(x, y, sps.wiener, "Wiener") win.setup_window() win.show() if __name__ == "__main__": test_filter2() PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_fliprotate.py000066400000000000000000000031521525747167300254500ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Flip/rotate test""" # guitest: show from guidata.qthelpers import exec_dialog, qt_app_context from qtpy import QtWidgets as QW from plotpy.tests.widgets.test_rotatecrop import create_test_data, imshow from plotpy.tools import RotationCenterTool from plotpy.widgets.fliprotate import FlipRotateDialog, FlipRotateWidget def widget_test(fname): """Test the flip/rotate widget""" array0, item = create_test_data(fname) widget = FlipRotateWidget(None, toolbar=True) widget.transform.set_item(item) widget.set_parameters(-90, True, False) widget.show() return widget def dialog_test(fname): """Test the flip/rotate dialog with rotation point changeable""" array0, item = create_test_data(fname) dlg = FlipRotateDialog(None, toolbar=True) dlg.manager.add_tool( RotationCenterTool, rotation_center=False, rotation_point_move_with_shape=True, on_all_items=True, ) dlg.transform.set_item(item) if exec_dialog(dlg) == QW.QDialog.Accepted: array1 = dlg.transform.get_result() dlg1 = imshow(array0, title="array0") dlg2 = imshow(array1, title="array1") return dlg, dlg1, dlg2 def test_flip_rotate(): """Test the flip/rotate widget and dialog""" persist_list = [] with qt_app_context(exec_loop=True): persist_list.append(widget_test("brain.png")) with qt_app_context(exec_loop=False): persist_list.append(dialog_test("brain.png")) if __name__ == "__main__": test_flip_rotate() PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_plot_timecurve.py000066400000000000000000000332571525747167300263510ustar00rootroot00000000000000# -*- coding: utf-8 -*- # This test was copied from ``guiqwt`` project: # Licensed under the terms of the MIT License (see below) # # Copyright ยฉ 2022 Pierre Raybaut # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. """ Dynamic curve widget test """ # guitest: show import time from datetime import datetime import numpy as np from guidata.qthelpers import ( create_action, get_std_icon, win32_fix_title_bar_background, ) from qtpy import QtCore as QC from qtpy import QtWidgets as QW from qwt import QwtScaleDraw, QwtText from plotpy.builder import make class DummyDevice(QC.QObject): """Dummy device emitting random data""" NEW_SAMPLE = QC.Signal(object, int, float) def __init__(self, period=500, duration_range=None, mode=None): super(DummyDevice, self).__init__() if duration_range is None: duration_range = (1500, 3000) self.mode = "random" if mode is None else mode self.previous_value = None self.increasing_value = True self.duration_range = duration_range self.timer = QC.QTimer() self.timer.setInterval(period) self.timer.timeout.connect(self.send_data) def singleshot(self, slot): tmin, tmax = self.duration_range QC.QTimer.singleShot(np.random.randint(tmin, tmax), slot) def init_device(self, buffer_obj): self.NEW_SAMPLE.connect(buffer_obj.add_sample) self.stop_device() def start_device(self): self.timer.start() self.singleshot(self.stop_device) def stop_device(self): self.timer.stop() self.singleshot(self.start_device) def send_data(self): if self.mode == "random": value = np.random.rand(1)[0] elif self.mode == "linear": if self.previous_value is None: value = 0.0 else: delta = 0.025 * (1 if self.increasing_value else -1) value = self.previous_value + delta if value <= 0.0 or value >= 1: self.increasing_value = not self.increasing_value self.previous_value = value elif self.mode == "sine": value = 0.5 * np.sin(time.time() / np.pi) + 0.5 else: raise ValueError("Unknown mode %r" % self.mode) quality = 0 date = time.time() self.NEW_SAMPLE.emit(value, quality, date) class CircularBuffer(QC.QObject): """Circular buffer storing data""" DATA_CHANGED = QC.Signal() def __init__( self, maxsize, period=None, dtype=None, default_value=None, maintain_value=True ): super(CircularBuffer, self).__init__() self._maintain_value = maintain_value dtype = np.float64 if dtype is None else dtype period = 100 if period is None else period self._last_sample = None self._previous_date = None self._time = np.zeros((int(maxsize),), dtype=np.float64) self._data = np.zeros((int(maxsize),), dtype=dtype) self._size = None self._index = None self._default = 0.0 if default_value is None else default_value self.timer = QC.QTimer() self.timer.setInterval(period) self.timer.timeout.connect(self.update_buffer) def init_buffer(self): self._size = 0 self._index = 0 self.timer.start() def update_buffer(self): if self._last_sample is None: self._last_sample = value, quality, date = self._default, -1, time.time() data_index = 0 replace_sample = False else: value, quality, date = self._last_sample replace_sample = not self._maintain_value and self._previous_date == date if not replace_sample: if self._size == self._data.size: self._index = (self._index + 1) % self._data.size else: self._size += 1 data_index = (self._index + self._size - 1) % self._data.size if self._maintain_value: time_data = time.time() else: time_data = date self._previous_date = date self._time[data_index] = time_data self._data[data_index] = value if quality == 0 else self._default self.DATA_CHANGED.emit() def add_sample(self, value, quality, date): self._last_sample = value, quality, date def get_data(self, nsamples=None): if self._size == 0: return np.array([]), np.array([]) else: slice_range = np.arange(self._index, self._index + self._size) if nsamples is not None: slice_range = slice_range[:: slice_range.size // nsamples] slice_range = slice_range % self._data.size return (self._time[slice_range], self._data[slice_range]) class TimeScaleDraw(QwtScaleDraw): """Time scale draw""" def __init__(self): super(TimeScaleDraw, self).__init__() self.setLabelRotation(-45) self.setLabelAlignment(QC.Qt.AlignHCenter | QC.Qt.AlignVCenter) self.setSpacing(20) def label(self, timestamp): return QwtText(datetime.fromtimestamp(timestamp).strftime("%H:%M:%S")) class DynCurveWidget(QW.QWidget): """Dynamic curve widget""" def __init__( self, title=None, parent=None, panels=None, period=100, ): title = self.__class__.__name__ if title is None else title super().__init__(parent=parent) self.setWindowTitle("Dynamic curve test") win32_fix_title_bar_background(self) self.plotwidget = make.widget( parent=self, toolbar=True, title=title, type="curve", panels=panels, ) self.plotwidget.plot.set_antialiasing(True) self.nav_actions = [] self.play_pause_act = None navtoolbar = self.create_navtoolbar() layout = QW.QGridLayout() layout.addWidget(self.plotwidget.toolbar, 0, 0, 1, 1) layout.addWidget(navtoolbar, 0, 1, 1, 1) layout.addWidget(self.plotwidget, 1, 0, 1, 2) self.setLayout(layout) self.__curve_items = {} self.__buffer_objs = {} self.__fixed_scales = False self.__x_origin = None self.__x_delta = None self.__auto_y_range = None self.set_auto_y_range(True) self.paused = True self.play_pause() self.initialize_plot() def get_plot(self): return self.plotwidget.get_plot() def initialize_plot(self): sdraw = TimeScaleDraw() plot = self.get_plot() plot.add_item(make.legend("TL")) plot.setAxisScaleDraw(plot.xBottom, sdraw) gridparam = plot.grid.gridparam gridparam.min_xenabled = gridparam.min_yenabled = False gridparam.background = "#646464" gridparam.update_grid(plot.grid) def create_navtoolbar(self): navtoolbar = QW.QToolBar("Navigation") for icon, tool, meth in ( ("MediaSkipBackward", "Dรฉbut", self.goto_start), ("MediaSeekBackward", "Arriรจre", lambda: self.goto(-1)), ("MediaPlay", "Lecture/Pause", self.play_pause), ("MediaSeekForward", "Avant", lambda: self.goto(1)), ("MediaSkipForward", "Fin", self.goto_end), ): action = create_action(self, tool, meth, icon=get_std_icon(icon)) navtoolbar.addAction(action) if tool == "Lecture/Pause": self.play_pause_act = action else: self.nav_actions.append(action) self.plotwidget.manager.add_toolbar(navtoolbar, toolbar_id="navtoolbar") return navtoolbar def goto_start(self): self.set_time_range(origin=0.0) self.update_all_curves() def goto_end(self): self.set_time_range(origin=None) self.update_all_curves() def goto(self, direction): xmin, xmax = self.get_plot().get_axis_limits("bottom") origin = xmin + 0.25 * self.__x_delta * direction self.set_time_range(origin=origin) self.update_all_curves() def play_pause(self): self.paused = not self.paused icon_name = "MediaPlay" if self.paused else "MediaPause" self.play_pause_act.setIcon(get_std_icon(icon_name)) for qobj in self.nav_actions + [self.plotwidget.toolbar]: qobj.setEnabled(self.paused) if not self.paused: self.set_time_range(origin=None) def add_curve( self, buffer_obj, xaxis="bottom", yaxis="left", ylimits=None, unit=None, title="", color=None, linestyle=None, linewidth=3.0, marker=None, markersize=None, markerfacecolor=None, markeredgecolor=None, shade=None, curvestyle=None, ): item = make.curve( [], [], title=title, xaxis=xaxis, yaxis=yaxis, color=color, linestyle=linestyle, linewidth=linewidth, marker=marker, markersize=markersize, markerfacecolor=markerfacecolor, markeredgecolor=markeredgecolor, shade=shade, curvestyle=curvestyle, ) self.__curve_items[id(item)] = item plot = self.get_plot() if unit is not None: plot.set_axis_unit(yaxis, unit) if ylimits is not None: ymin, ymax = ylimits plot.set_axis_limits(yaxis, ymin, ymax) self.set_auto_y_range(False) plot.add_item(item) plot.enable_used_axes() self.__buffer_objs[id(item)] = buffer_obj buffer_obj.DATA_CHANGED.connect( lambda item_id=id(item): self.update_curve(item_id) ) def set_time_range(self, origin=None, delta=None): if origin is not None and not isinstance(origin, float): raise ValueError("Invalid time origin, expected None or float") if delta is not None and not isinstance(delta, float): raise ValueError("Invalid time delta, expected float") self.__x_origin = origin if delta is not None: self.__x_delta = delta self.set_autoscale(False) def set_auto_y_range(self, state): self.__auto_y_range = state def set_axis_unit(self, axis_id, unit): self.get_plot().set_axis_unit(axis_id, unit) def set_autoscale(self, state): self.__fixed_scales = not state plot = self.get_plot() if state: plot.do_autoscale() # else: # plot.disable_autoscale() def update_scale(self, item, xdata, ydata): plot = self.get_plot() if self.__fixed_scales: if self.__x_origin is None: # Xmin is set automatically to adjust Xrange to [now-delta;now] now = time.time() xmin, xmax = now - self.__x_delta, now else: min_xdata = xdata.min() xmin = max([self.__x_origin, min_xdata]) xmax = xmin + self.__x_delta plot.set_axis_limits(item.xAxis(), xmin, xmax) if self.__auto_y_range: ydata_min, ydata_max = ydata.min(), ydata.max() delta_y = 0.1 * (ydata_max - ydata_min) ymin, ymax = ydata_min - delta_y, ydata_max + delta_y plot.set_axis_limits(item.yAxis(), ymin, ymax) plot.replot() def update_curve(self, item_id, force=False): if self.paused and not force: return xdata, ydata = self.__buffer_objs[item_id].get_data() item = self.__curve_items[item_id] item.set_data(xdata, ydata) self.update_scale(item, xdata, ydata) def update_all_curves(self, force=True): for item_id in self.__curve_items: self.update_curve(item_id, force=force) if __name__ == "__main__": from guidata import qapplication app = qapplication() buffer1 = CircularBuffer(1e6, period=100) buffer1.init_buffer() buffer2 = CircularBuffer(1e6, period=100) buffer2.init_buffer() win = DynCurveWidget() win.set_time_range(delta=10.0) win.set_auto_y_range(True) win.add_curve( buffer1, title="Temperature", yaxis="left", ylimits=(0.0, 1.0), unit="ยฐC", color="b", ) win.add_curve( buffer2, title="Pressure", yaxis="right", ylimits=(0.0, 1.0), unit="kPa", color="r", ) device1 = DummyDevice(period=10, mode="sine") device1.init_device(buffer1) device2 = DummyDevice(period=500, mode="sine") # , duration_range=(4000, 7000)) device2.init_device(buffer2) # win.showMaximized() win.resize(800, 400) win.show() app.exec() PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_qtdesigner.py000066400000000000000000000021561525747167300254470ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # -*- coding: utf-8 -*- """ Testing plotpy QtDesigner plugins These plugins provide PlotWidget objects embedding in GUI layouts directly from QtDesigner. """ # guitest: show import os import pytest from guidata.qthelpers import qt_app_context from plotpy.builder import make from plotpy.tests import data as ptd try: from plotpy.widgets.qtdesigner import loadui except ImportError: # PySide6 known to fail pytest.skip( "PySide6 does not support QPyDesignerCustomWidgetPlugin", allow_module_level=True, ) FormClass = loadui(os.path.splitext(__file__)[0] + ".ui") class WindowTest(FormClass): def __init__(self, image_data): super().__init__() plot = self.imagewidget.plot plot.add_item(make.image(image_data)) self.setWindowTitle("QtDesigner plugins example") def test_qtdesigner(): with qt_app_context(exec_loop=True): form = WindowTest(ptd.gen_image4(200, 200)) form.show() if __name__ == "__main__": test_qtdesigner() PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_qtdesigner.ui000066400000000000000000000013321525747167300254270ustar00rootroot00000000000000 Dialog 0 0 500 800 Dialog PlotWidget QwtPlot
plotpy.plot.plotwidget
 PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_resize_dialog.py000066400000000000000000000040711525747167300261200ustar00rootroot00000000000000# -*- coding: utf-8 -*- """ ResizeDialog test """ # guitest: show import pytest from guidata.qthelpers import exec_dialog, qt_app_context from qtpy import QtCore as QC from plotpy.widgets.resizedialog import ResizeDialog size_list = [ # new_size, old_size, kepp_size, result[widtg, height, zoom] ((150, 100), (300, 200), False, (150, 100, 0.5)), ((800, 400), (200, 100), False, (800, 400, 4)), ((800, 400), (200, 100), True, (800, 400, 1)), ] @pytest.mark.parametrize("new_size,old_size,keep_original_size,result", size_list) def test_resize_dialog(new_size, old_size, keep_original_size, result): with qt_app_context(): dialog = ResizeDialog( None, new_size, old_size, "Enter the new size:", keep_original_size ) assert result[0] == dialog.width assert result[1] == dialog.height assert result[2] == dialog.get_zoom() assert dialog.keep_original_size is keep_original_size def test_resize_dialog_qtbot_accept(): with qt_app_context(): result = (1500, 1000, 5) dialog = ResizeDialog(None, (150, 100), (300, 200), "Enter the new size:") dialog.show() dialog.w_edit.setText("1500") QC.QTimer.singleShot(10, dialog.accept) dialog.exec() assert result[0] == dialog.width assert result[1] == dialog.height assert result[2] == dialog.get_zoom() assert dialog.keep_original_size is False def test_resize_dialog_qtbot_reject(): with qt_app_context(): result = (150, 100, 0.5) dialog = ResizeDialog(None, (150, 100), (300, 200), "Enter the new size:") dialog.show() exec_dialog(dialog) assert result[0] == dialog.width assert result[1] == dialog.height assert result[2] == dialog.get_zoom() assert dialog.keep_original_size is False def simple_test(): """ResizeDialog simple test""" with qt_app_context(): dialog = ResizeDialog(None, (150, 100), (300, 250), "Enter the new size:") exec_dialog(dialog) if __name__ == "__main__": simple_test() PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_rotatecrop.py000066400000000000000000000054331525747167300254650ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Rotate/crop test: using the scaler C++ engine to rotate/crop images""" # guitest: show import numpy as np from guidata.env import execenv from guidata.qthelpers import exec_dialog, qt_app_context from qtpy import QtWidgets as QW from plotpy import io from plotpy.builder import make from plotpy.tests import get_path from plotpy.widgets.rotatecrop import ( MultipleRotateCropWidget, RotateCropDialog, RotateCropWidget, ) def create_test_data(fname, func=None): """Create test data""" array0 = io.imread(get_path(fname), to_grayscale=True) if func is not None: array0 = func(array0) item0 = make.trimage(array0, dx=0.1, dy=0.1) return array0, item0 def widget_test(fname="brain.png"): """Test the rotate/crop widget""" _array0, item = create_test_data(fname) widget = RotateCropWidget(None, toolbar=True) widget.transform.set_item(item) widget.show() return widget def multiple_widget_test(fname="brain.png"): """Test the multiple rotate/crop widget""" _array0, item0 = create_test_data(fname) _array1, item1 = create_test_data(fname, func=lambda arr: np.rot90(arr, 1)) _array2, item2 = create_test_data(fname, func=lambda arr: np.rot90(arr, 2)) widget = MultipleRotateCropWidget(None) widget.set_items(item0, item1, item2) widget.show() return widget def imshow(data, title=None, hold=False): """Show image""" dlg = make.dialog(wintitle=title, type="image", size=(800, 600)) dlg.manager.get_plot().add_item(make.image(data)) if hold: dlg.show() else: exec_dialog(dlg) return dlg def dialog_test(fname="brain.png"): """Test the rotate/crop dialog""" array0, item = create_test_data(fname) dlg = RotateCropDialog(None, toolbar=True) dlg.transform.set_item(item) if exec_dialog(dlg) == QW.QDialog.Accepted: array1 = dlg.transform.get_result() if array0.shape == array1.shape: assert (array1 == array0).all() imshow(array1 - array0, title="array1-array0") else: print(array0.shape, "-->", array1.shape) dlg1 = imshow(array0, title="array0") dlg2 = imshow(array1, title="array1") return dlg, dlg1, dlg2 def test_rotate_crop(): """Test the flip/rotate widget and dialog""" persist_list = [] with qt_app_context(exec_loop=not execenv.unattended): persist_list.append(multiple_widget_test("brain.png")) with qt_app_context(exec_loop=not execenv.unattended): persist_list.append(widget_test("brain.png")) with qt_app_context(exec_loop=False): persist_list.append(dialog_test("brain.png")) if __name__ == "__main__": test_rotate_crop() PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_simple_dialog.py000066400000000000000000000071351525747167300261140ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Simple dialog box based on plotpy""" # guitest: show import scipy.ndimage from guidata.dataset import ChoiceItem, DataSet, IntItem, StringItem, update_dataset from guidata.dataset.qtwidgets import DataSetEditGroupBox, DataSetShowGroupBox from guidata.qthelpers import qt_app_context from plotpy import io from plotpy.builder import make from plotpy.config import _ from plotpy.plot import PlotDialog, PlotOptions from plotpy.tools import OpenImageTool # guitest: show class ImageParam(DataSet): title = StringItem(_("Title"), default=_("Image title")) width = IntItem(_("Width"), default=512, help=_("Image width (pixels)")) height = IntItem(_("Height"), default=512, help=_("Image height (pixels)")) class FilterParam(DataSet): name = ChoiceItem( _("Filter algorithm"), ( ("gaussian_filter", _("gaussian filter")), ("uniform_filter", _("uniform filter")), ("minimum_filter", _("minimum filter")), ("median_filter", _("median filter")), ("maximum_filter", _("maximum filter")), ), ) size = IntItem(_("Size or sigma"), min=1, default=5) class ExampleDialog(PlotDialog): def __init__( self, title=_("Example dialog box"), options=PlotOptions(show_contrast=True, type="image"), edit=False, ): self.filter_gbox = None self.data = None self.item = None options.title = _("Image title") options.zlabel = _("z-axis scale label") super().__init__( title=title, toolbar=True, edit=edit, options=options, auto_tools=False, ) self.resize(600, 600) opentool = self.manager.add_tool(OpenImageTool) opentool.SIG_OPEN_FILE.connect(self.open_image) self.manager.register_all_image_tools() self.manager.activate_default_tool() def populate_plot_layout(self): """Populate the plot layout""" self.filter_gbox = DataSetEditGroupBox(_("Filter parameters"), FilterParam) self.filter_gbox.setEnabled(False) self.filter_gbox.SIG_APPLY_BUTTON_CLICKED.connect(self.apply_filter) self.add_widget(self.filter_gbox, 0, 0) self.param_gbox = DataSetShowGroupBox(_("Image parameters"), ImageParam) self.add_widget(self.param_gbox, 0, 1) self.add_widget(self.plot_widget, 1, 0, 1, 0) def open_image(self, filename): """Opening image *filename*""" self.data = io.imread(filename, to_grayscale=True) self.show_data(self.data) param = ImageParam() param.title = filename param.height, param.width = self.data.shape update_dataset(self.param_gbox.dataset, param) self.param_gbox.get() self.filter_gbox.setEnabled(True) def show_data(self, data): plot = self.manager.get_plot() if self.item is not None: self.item.set_data(data) else: self.item = make.image(data, colormap="gray") plot.add_item(self.item, z=0) plot.set_active_item(self.item) plot.replot() def apply_filter(self): param = self.filter_gbox.dataset filterfunc = getattr(scipy.ndimage, param.name) data = filterfunc(self.data, param.size) self.show_data(data) def test_simple_dialog(): """Test simple dialog""" with qt_app_context(exec_loop=True): dlg = ExampleDialog() dlg.show() if __name__ == "__main__": test_simple_dialog() PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_simple_window.py000066400000000000000000000233521525747167300261630ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Simple application based on plotpy""" # guitest: show import sys import numpy as np from guidata.configtools import get_icon from guidata.dataset import ( ChoiceItem, DataSet, FloatArrayItem, GetAttrProp, IntItem, StringItem, update_dataset, ) from guidata.dataset.qtwidgets import DataSetEditGroupBox from guidata.qthelpers import ( add_actions, create_action, get_std_icon, qt_app_context, win32_fix_title_bar_background, ) from qtpy import QtCore as QC from qtpy import QtWidgets as QW from plotpy import io from plotpy.builder import make from plotpy.config import _ from plotpy.plot import PlotOptions, PlotWidget from plotpy.tests import get_path from plotpy.widgets import about class ImageParam(DataSet): _hide_data = False _hide_size = True title = StringItem(_("Title"), default=_("Untitled")) data = FloatArrayItem(_("Data")).set_prop("display", hide=GetAttrProp("_hide_data")) width = IntItem( _("Width"), help=_("Image width (pixels)"), min=1, default=100 ).set_prop("display", hide=GetAttrProp("_hide_size")) height = IntItem( _("Height"), help=_("Image height (pixels)"), min=1, default=100 ).set_prop("display", hide=GetAttrProp("_hide_size")) class ImageParamNew(ImageParam): _hide_data = True _hide_size = False type = ChoiceItem(_("Type"), (("rand", _("random")), ("zeros", _("zeros")))) class ImageListWithProperties(QW.QSplitter): def __init__(self, parent): QW.QSplitter.__init__(self, parent) self.imagelist = QW.QListWidget(self) self.addWidget(self.imagelist) self.properties = DataSetEditGroupBox(_("Properties"), ImageParam) self.properties.setEnabled(False) self.addWidget(self.properties) class CentralWidget(QW.QSplitter): def __init__(self, parent, toolbar): QW.QSplitter.__init__(self, parent) self.setContentsMargins(10, 10, 10, 10) self.setOrientation(QC.Qt.Vertical) imagelistwithproperties = ImageListWithProperties(self) self.addWidget(imagelistwithproperties) self.imagelist = imagelistwithproperties.imagelist self.imagelist.currentRowChanged.connect(self.current_item_changed) self.imagelist.itemSelectionChanged.connect(self.selection_changed) self.properties = imagelistwithproperties.properties self.properties.SIG_APPLY_BUTTON_CLICKED.connect(self.properties_changed) self.plot_widget = PlotWidget( self, options=PlotOptions(type="image", show_contrast=True), auto_tools=False, ) self.plot_widget.plot.SIG_LUT_CHANGED.connect(self.lut_range_changed) self.item = None # image item self.plot_widget.manager.add_toolbar(toolbar, "default") self.plot_widget.register_tools() self.addWidget(self.plot_widget) self.images = [] # List of ImageParam instances self.lut_ranges = [] # List of LUT ranges self.setStretchFactor(0, 0) self.setStretchFactor(1, 1) self.setHandleWidth(10) self.setSizes([1, 2]) def refresh_list(self): """Refresh image list""" self.imagelist.clear() self.imagelist.addItems([image.title for image in self.images]) def selection_changed(self): """Image list: selection changed""" row = self.imagelist.currentRow() self.properties.setDisabled(row == -1) def current_item_changed(self, row): """Image list: current image changed""" if row == -1: return image, lut_range = self.images[row], self.lut_ranges[row] self.show_data(image.data, lut_range) update_dataset(self.properties.dataset, image) self.properties.get() def lut_range_changed(self): """LUT range changed""" row = self.imagelist.currentRow() self.lut_ranges[row] = self.item.get_lut_range() def show_data(self, data, lut_range=None): """Show image data""" plot = self.plot_widget.plot if self.item is not None: self.item.set_data(data) if lut_range is None: lut_range = self.item.get_lut_range() self.plot_widget.manager.set_contrast_range(*lut_range) self.plot_widget.manager.update_cross_sections() else: self.item = make.image(data, interpolation="nearest") plot.add_item(self.item, z=0) plot.select_item(self.item) plot.do_autoscale() plot.replot() def properties_changed(self): """The properties 'Apply' button was clicked: updating image""" row = self.imagelist.currentRow() image = self.images[row] update_dataset(image, self.properties.dataset) self.refresh_list() self.show_data(image.data) def add_image(self, image): """Add image""" self.images.append(image) self.lut_ranges.append(None) self.refresh_list() self.imagelist.setCurrentRow(len(self.images) - 1) plot = self.plot_widget.plot plot.do_autoscale() def add_image_from_file(self, filename): """Add image from file""" image = ImageParam() image.title = str(filename) image.data = io.imread(filename, to_grayscale=True) image.height, image.width = image.data.shape self.add_image(image) def remove_image(self, index=None): """Remove image""" if index is None: index = self.imagelist.currentRow() del self.images[index] del self.lut_ranges[index] self.refresh_list() if self.imagelist.count() > 0: self.imagelist.setCurrentRow(0) else: self.item = None self.plot_widget.plot.del_all_items() self.plot_widget.plot.replot() class MainWindow(QW.QMainWindow): """Main Window""" def __init__(self): super().__init__() win32_fix_title_bar_background(self) self.setup() def setup(self): """Setup window parameters""" self.setWindowIcon(get_icon("python.png")) self.setWindowTitle(_("Application example")) self.resize(QC.QSize(600, 800)) # Welcome message in statusbar: status = self.statusBar() status.showMessage(_("Welcome to plotpy application example!"), 5000) # Set central widget: main_toolbar = self.addToolBar("Main") toolbar = self.addToolBar("Image") self.mainwidget = CentralWidget(self, toolbar) self.setCentralWidget(self.mainwidget) # File menu file_menu = self.menuBar().addMenu(_("File")) new_action = create_action( self, _("New..."), shortcut="Ctrl+N", icon=get_icon("filenew.png"), tip=_("Create a new image"), triggered=self.new_image, ) open_action = create_action( self, _("Open..."), shortcut="Ctrl+O", icon=get_icon("fileopen.png"), tip=_("Open an image"), triggered=self.open_image, ) quit_action = create_action( self, _("Quit"), shortcut="Ctrl+Q", icon=get_std_icon("DialogCloseButton"), tip=_("Quit application"), triggered=self.close, ) add_actions(file_menu, (new_action, open_action, None, quit_action)) # Edit menu edit_menu = self.menuBar().addMenu(_("Edit")) del_action = create_action( self, _("Delete"), shortcut="Del", icon=get_icon("editdelete.png"), tip=_("Delete selected image"), triggered=self.mainwidget.remove_image, ) add_actions(edit_menu, (del_action,)) # Help menu help_menu = self.menuBar().addMenu("?") about_action = create_action( self, _("About %s...") % "PlotPy", icon=get_std_icon("MessageBoxInformation"), triggered=about.show_about_dialog, ) add_actions(help_menu, (about_action,)) add_actions(main_toolbar, (new_action, open_action)) # ------I/O def new_image(self, imagenew=None): """Create a new image""" if imagenew is None: imagenew = ImageParamNew(title=_("Create a new image")) if not imagenew.edit(self): return image = ImageParam() image.title = imagenew.title if imagenew.type == "zeros": image.data = np.zeros((imagenew.width, imagenew.height)) elif imagenew.type == "rand": image.data = np.random.randn(imagenew.width, imagenew.height) self.mainwidget.add_image(image) def open_image(self, filename=None): """Open image file""" if filename is None: saved_in, saved_out, saved_err = sys.stdin, sys.stdout, sys.stderr sys.stdout = None filename, _filter = QW.QFileDialog.getOpenFileName( self, _("Open"), "", io.iohandler.get_filters("load"), "", options=QW.QFileDialog.ShowDirsOnly, ) sys.stdin, sys.stdout, sys.stderr = saved_in, saved_out, saved_err if filename: self.mainwidget.add_image_from_file(filename) def test_simple_window(): """Test simple window""" with qt_app_context(exec_loop=True): window = MainWindow() window.show() window.new_image(imagenew=ImageParamNew.create(type="rand")) window.open_image(filename=get_path("brain.png")) if __name__ == "__main__": test_simple_window() PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_syncplot.py000066400000000000000000000063611525747167300251570ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Testing plot with synchronized axes""" from __future__ import annotations import numpy as np from guidata.env import execenv from guidata.qthelpers import exec_dialog, qt_app_context from qtpy import QtGui as QG from qtpy import QtWidgets as QW from plotpy.builder import make from plotpy.plot import BasePlot, PlotOptions from plotpy.plot.plotwidget import SyncPlotDialog, SyncPlotWindow from plotpy.tests.data import gen_2d_gaussian def show_with(cls: type[SyncPlotDialog] | type[SyncPlotWindow], plot_type, *itemlists): """Show plot items in SyncPlotWindow or SyncPlotDialog""" widget = cls( title=f"{cls.__name__}: showing plots, optionally synchronized ({plot_type})", options=PlotOptions(type=plot_type), ) row, col = 0, 0 for items in itemlists: plot = BasePlot() for item in items: plot.add_item(item) plot.set_axis_font("left", QG.QFont("Courier")) plot.set_items_readonly(False) widget.add_plot(row, col, plot, sync=True) col += 1 if col == 2: row += 1 col = 0 widget.finalize_configuration() if plot_type == "image": widget.get_manager().get_contrast_panel().show() widget.resize(800, 600) if cls is SyncPlotWindow: widget.show() if not execenv.unattended: app = QW.QApplication.instance() app.exec() else: exec_dialog(widget) def test_syncplot_curves(): """Test plot synchronization: curves""" x = np.linspace(-10, 10, 200) dy = x / 100.0 y = np.sin(np.sin(np.sin(x))) x2 = np.linspace(-10, 10, 20) y2 = np.sin(np.sin(np.sin(x2))) with qt_app_context(): itemlists = [ [ make.curve(x, y, color="b"), make.label( "Relative position outside", (x[0], y[0]), (-10, -10), "BR" ), ], [make.curve(x2, y2, color="g")], [ make.curve(x, np.sin(2 * y), color="r"), make.label( "Relative position inside", (x[0], y[0]), (10, 10), "TL" ), ], [ make.merror(x, y / 2, dy), make.label("Absolute position", "R", (0, 0), "R"), make.legend("TR"), ], ] for cls in (SyncPlotWindow, SyncPlotDialog): show_with(cls, "curve", *itemlists) def test_syncplot_images(): """Test plot synchronization: images""" img1 = gen_2d_gaussian(20, np.uint8, x0=-10.0, y0=-10.0, mu=7.0, sigma=10.0) img2 = gen_2d_gaussian(20, np.uint8, x0=-10.0, y0=-10.0, mu=5.0, sigma=8.0) img3 = gen_2d_gaussian(20, np.uint8, x0=-10.0, y0=-10.0, mu=3.0, sigma=6.0) with qt_app_context(): def makeim(data): """Make image item""" return make.image(data, interpolation="nearest") itemlists = [[makeim(img1)], [makeim(img2)], [makeim(img3)]] for cls in (SyncPlotWindow, SyncPlotDialog): show_with(cls, "image", *itemlists) if __name__ == "__main__": test_syncplot_curves() test_syncplot_images() PlotPyStack-PlotPy-2af0906/plotpy/tests/widgets/test_theme.py000066400000000000000000000042261525747167300244040ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see guidata/LICENSE for details) """ Test dark/light theme switching """ from __future__ import annotations import sys from typing import Literal import pytest from guidata import qthelpers as qth try: # guidata > V2.6.2 from guidata.tests.widgets.test_theme import ColorModeWidget as GuidataWidget except ImportError: # guidata V2.6.2 from guidata.tests.widgets.test_theme import ( TestWidget as GuidataWidget, # noqa: F401 ) from qtpy import QtWidgets as QW from plotpy.builder import make from plotpy.config import update_plotpy_color_mode from plotpy.plot import PlotOptions, PlotWidget from plotpy.tests import data as ptd class ColorModeWidget(GuidataWidget): """Testing color mode switching for PlotPy and guidata widgets""" SIZE = (1400, 600) def __init__(self, default: Literal["light", "dark", "auto"] = qth.AUTO) -> None: self.plot_widget: PlotWidget | None = None super().__init__(default=default) def setup_widgets(self): """Setup widgets""" super().setup_widgets() options = PlotOptions(type="image", show_contrast=True) self.plot_widget = widget = PlotWidget(self, options=options) plot = self.plot_widget.get_plot() item = make.image(ptd.gen_image4(300, 200)) plot.add_item(item) plot.set_active_item(item, select=False) widget.setSizePolicy(QW.QSizePolicy.Expanding, QW.QSizePolicy.Expanding) self.grid_layout.addWidget(widget, 1, 2) def change_color_mode(self, mode: str) -> None: """Change color mode""" super().change_color_mode(mode) update_plotpy_color_mode() @pytest.mark.skipif(reason="Not suitable for automated testing") def test_dark_light_themes( default: Literal["light", "dark", "auto"] | None = None, ) -> None: """Test dark/light theme switching""" with qth.qt_app_context(exec_loop=True): widget = ColorModeWidget(default=qth.AUTO if default is None else default) widget.show() if __name__ == "__main__": test_dark_light_themes(None if len(sys.argv) < 2 else sys.argv[1]) PlotPyStack-PlotPy-2af0906/plotpy/tools/000077500000000000000000000000001525747167300202155ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/tools/__init__.py000066400000000000000000000037271525747167300223370ustar00rootroot00000000000000# -*- coding: utf-8 -*- # pylint: disable=unused-import # flake8: noqa from .annotation import ( AnnotatedCircleTool, AnnotatedEllipseTool, AnnotatedObliqueRectangleTool, AnnotatedPointTool, AnnotatedRectangleTool, AnnotatedSegmentTool, AnnotatedPolygonTool, ) from .axes import AxisScaleTool, PlaceAxesTool from .base import ( ActionTool, CommandTool, DefaultToolbarID, InteractiveTool, PanelTool, RectangularActionTool, ToggleTool, ) from .cross_section import ( AverageCrossSectionTool, CrossSectionTool, LCSPanelTool, LineCrossSectionTool, ObliqueCrossSectionTool, OCSPanelTool, XCSPanelTool, YCSPanelTool, ) from .cursor import HCursorTool, HRangeTool, VCursorTool, XCursorTool from .curve import ( AntiAliasingTool, CurveStatsTool, YRangeCursorTool, DownSamplingTool, EditPointTool, SelectPointsTool, SelectPointTool, ) from .image import ( AspectRatioTool, ColormapTool, ContrastPanelTool, ImageMaskTool, ImageStatsTool, ZAxisLogTool, LockTrImageTool, OpenImageTool, ReverseColormapTool, LockLUTRangeTool, ReverseXAxisTool, ReverseYAxisTool, RotateCropTool, RotationCenterTool, ) from .item import ( DeleteItemTool, EditItemDataTool, ExportItemDataTool, ItemCenterTool, ItemListPanelTool, LoadItemsTool, SaveItemsTool, ) from .label import LabelTool from .misc import ( AboutTool, CopyToClipboardTool, FilterTool, HelpTool, OpenFileTool, PrintTool, SaveAsTool, SnapshotTool, ) from .plot import ( BasePlotMenuTool, DisplayCoordsTool, DoAutoscaleTool, DummySeparatorTool, RectangularSelectionTool, RectZoomTool, ) from .selection import SelectTool from .shape import ( CircleTool, EllipseTool, PolygonTool, MultiLineTool, ObliqueRectangleTool, PointTool, RectangleTool, RectangularShapeTool, SegmentTool, ) PlotPyStack-PlotPy-2af0906/plotpy/tools/annotation.py000066400000000000000000000105241525747167300227430ustar00rootroot00000000000000# -*- coding: utf-8 -*-# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) from __future__ import annotations from plotpy.items import ( AnnotatedCircle, AnnotatedEllipse, AnnotatedObliqueRectangle, AnnotatedPoint, AnnotatedPolygon, AnnotatedRectangle, AnnotatedSegment, ) from plotpy.tools.shape import ( CircleTool, EllipseTool, ObliqueRectangleTool, PointTool, PolygonTool, RectangleTool, SegmentTool, ) class AnnotatedPolygonTool(PolygonTool): """ Tool for creating annotated polygon shapes. This tool extends the PolygonTool to create AnnotatedPolygon objects. """ def create_shape(self) -> AnnotatedPolygon: """ Create an annotated polygon shape. Returns: A tuple containing the AnnotatedPolygon object and its handle indices. """ annotation = AnnotatedPolygon() self.set_shape_style(annotation) return annotation class AnnotatedRectangleTool(RectangleTool): """ Tool for creating annotated rectangle shapes. This tool extends the RectangleTool to create AnnotatedRectangle objects. """ def create_shape(self) -> tuple[AnnotatedRectangle, int, int]: """ Create an annotated rectangle shape. Returns: A tuple containing the AnnotatedRectangle object and its handle indices. """ annotation = AnnotatedRectangle(0, 0, 1, 1) self.set_shape_style(annotation) return annotation, 0, 2 class AnnotatedObliqueRectangleTool(ObliqueRectangleTool): """ Tool for creating annotated oblique rectangle shapes. This tool extends the ObliqueRectangleTool to create AnnotatedObliqueRectangle objects. """ AVOID_NULL_SHAPE: bool = True def create_shape(self) -> tuple[AnnotatedObliqueRectangle, int, int]: """ Create an annotated oblique rectangle shape. Returns: A tuple containing the AnnotatedObliqueRectangle object and its handle indices. """ annotation = AnnotatedObliqueRectangle(0, 0, 1, 0, 1, 1, 0, 1) self.set_shape_style(annotation) return annotation, 0, 2 class AnnotatedCircleTool(CircleTool): """ Tool for creating annotated circle shapes. This tool extends the CircleTool to create AnnotatedCircle objects. """ def create_shape(self) -> tuple[AnnotatedCircle, int, int]: """ Create an annotated circle shape. Returns: A tuple containing the AnnotatedCircle object and its handle indices. """ annotation = AnnotatedCircle(0, 0, 1, 1) self.set_shape_style(annotation) return annotation, 0, 1 class AnnotatedEllipseTool(EllipseTool): """ Tool for creating annotated ellipse shapes. This tool extends the EllipseTool to create AnnotatedEllipse objects. """ def create_shape(self) -> tuple[AnnotatedEllipse, int, int]: """ Create an annotated ellipse shape. Returns: A tuple containing the AnnotatedEllipse object and its handle indices. """ annotation = AnnotatedEllipse(0, 0, 1, 1) annotation.shape.switch_to_circle() self.set_shape_style(annotation) return annotation, 0, 1 class AnnotatedPointTool(PointTool): """ Tool for creating annotated point shapes. This tool extends the PointTool to create AnnotatedPoint objects. """ def create_shape(self) -> tuple[AnnotatedPoint, int, int]: """ Create an annotated point shape. Returns: A tuple containing the AnnotatedPoint object and its handle indices. """ annotation = AnnotatedPoint(0, 0) self.set_shape_style(annotation) return annotation, 0, 0 class AnnotatedSegmentTool(SegmentTool): """ Tool for creating annotated segment shapes. This tool extends the SegmentTool to create AnnotatedSegment objects. """ def create_shape(self) -> tuple[AnnotatedSegment, int, int]: """ Create an annotated segment shape. Returns: A tuple containing the AnnotatedSegment object and its handle indices. """ annotation = AnnotatedSegment(0, 0, 1, 1) self.set_shape_style(annotation) return annotation, 0, 1 PlotPyStack-PlotPy-2af0906/plotpy/tools/axes.py000066400000000000000000000111441525747167300215300ustar00rootroot00000000000000# -*- coding: utf-8 -*-# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Axes tools""" from __future__ import annotations from guidata.configtools import get_icon from guidata.qthelpers import add_actions from qtpy import QtWidgets as QW from plotpy.config import _ from plotpy.items import Axes from plotpy.tools.base import CommandTool from plotpy.tools.shape import RectangularShapeTool class AxisScaleTool(CommandTool): """ A tool for changing the scale of plot axes. This tool provides options to switch between linear and logarithmic scales for both x and y axes. """ def __init__(self, manager): """ Initialize the AxisScaleTool. Args: manager: The plot manager. """ super().__init__( manager, _("Scale"), icon=get_icon("log_log.png"), tip=None, toolbar_id=None ) self.action.setEnabled(True) def create_action_menu(self, manager) -> QW.QMenu: """ Create and return menu for the tool's action. Args: manager: The plot manager. Returns: A QMenu object containing scale options. """ menu = QW.QMenu() group = QW.QActionGroup(manager.get_main()) lin_lin = manager.create_action( "Lin Lin", icon=get_icon("lin_lin.png"), toggled=lambda state, x="lin", y="lin": self.set_scale(state, x, y), ) lin_log = manager.create_action( "Lin Log", icon=get_icon("lin_log.png"), toggled=lambda state, x="lin", y="log": self.set_scale(state, x, y), ) log_lin = manager.create_action( "Log Lin", icon=get_icon("log_lin.png"), toggled=lambda state, x="log", y="lin": self.set_scale(state, x, y), ) log_log = manager.create_action( "Log Log", icon=get_icon("log_log.png"), toggled=lambda state, x="log", y="log": self.set_scale(state, x, y), ) date_time = manager.create_action( "Date Time", toggled=lambda state, x="datetime", y="lin": self.set_scale(state, x, y), ) self.scale_menu = { ("lin", "lin"): lin_lin, ("lin", "log"): lin_log, ("log", "lin"): log_lin, ("log", "log"): log_log, ("datetime", "lin"): date_time, } for obj in (group, menu): add_actions(obj, (lin_lin, lin_log, log_lin, log_log, date_time)) return menu def update_status(self, plot) -> None: """ Update the status of scale actions based on the current plot scales. Args: plot: The current plot object. """ item = plot.get_active_item() active_scale = ("lin", "lin") if item is not None: xscale = plot.get_axis_scale(item.xAxis()) yscale = plot.get_axis_scale(item.yAxis()) active_scale = xscale, yscale for scale_type, scale_action in list(self.scale_menu.items()): if item is None: scale_action.setEnabled(False) else: scale_action.setEnabled(True) if active_scale == scale_type: scale_action.setChecked(True) else: scale_action.setChecked(False) def set_scale(self, checked: bool, xscale: str, yscale: str) -> None: """ Set the scale of the active plot. Args: checked: Whether the action is checked. xscale: The scale for the x-axis ('lin', 'log', or 'datetime'). yscale: The scale for the y-axis ('lin' or 'log'). """ if not checked: return plot = self.get_active_plot() if plot is not None: cur_xscale, cur_yscale = plot.get_scales() if cur_xscale != xscale or cur_yscale != yscale: plot.set_scales(xscale, yscale) class PlaceAxesTool(RectangularShapeTool): """ A tool for placing axes on the plot. This tool allows users to draw a rectangular shape to define the position and size of the axes on the plot. """ TITLE: str = _("Axes") ICON: str = "gtaxes.png" SHAPE_STYLE_KEY: str = "shape/axes" def create_shape(self) -> tuple[Axes, int, int]: """ Create an Axes shape. Returns: A tuple containing the Axes object and its handle indices. """ shape = Axes((0, 1), (1, 1), (0, 0)) self.set_shape_style(shape) return shape, 0, 2 PlotPyStack-PlotPy-2af0906/plotpy/tools/base.py000066400000000000000000000464551525747167300215170ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations import weakref from typing import TYPE_CHECKING, Any, TypeVar from guidata.configtools import get_icon from qtpy import QtCore as QC from qtpy import QtWidgets as QW from plotpy.constants import SHAPE_Z_OFFSET from plotpy.events import ( RectangularSelectionHandler, StatefulEventFilter, setup_standard_tool_filter, ) from plotpy.items.shape.rectangle import RectangleShape if TYPE_CHECKING: from typing import Callable from qtpy.QtCore import QPointF from plotpy.interfaces import ICurveItemType, IDecoratorItemType, IImageItemType from plotpy.items import BaseImageItem, CurveItem, QuiverItem from plotpy.plot import BasePlot, PlotManager class DefaultToolbarID: """Default toolbar ID""" pass GuiToolT = TypeVar("GuiToolT", bound="GuiTool") class GuiTool(QC.QObject): """Base class for interactive tool applying on a plot Args: manager: plot manager toolbar_id: toolbar ID """ def __init__( self, manager: PlotManager, toolbar_id: Any | type[DefaultToolbarID] | None = DefaultToolbarID, ) -> None: """Constructor""" super().__init__() self.manager = manager self.parent_tool: GuiTool | None = None self.plots: set[BasePlot] = set() # pylint: disable=assignment-from-none self.action = self.create_action(manager) self.menu = self.create_action_menu(manager) if self.menu is not None: self.action.setMenu(self.menu) if toolbar_id is DefaultToolbarID: toolbar = manager.get_default_toolbar() else: toolbar = manager.get_toolbar(toolbar_id) if toolbar is not None: self.setup_toolbar(toolbar) def create_action(self, manager: PlotManager) -> QW.QAction | None: """Create and return tool's action Args: manager: plot manager Returns: Tool's action or None (if tool has no action) """ return None def setup_toolbar(self, toolbar: QW.QToolBar) -> None: """Setup tool's toolbar Args: toolbar: toolbar """ toolbar.addAction(self.action) if self.menu is not None: widget = toolbar.widgetForAction(self.action) widget.setPopupMode(QW.QToolButton.ToolButtonPopupMode.InstantPopup) def create_action_menu(self, manager: PlotManager) -> QW.QMenu | None: """Create and return menu for the tool's action Args: manager: plot manager """ return None def set_parent_tool(self, tool: GuiToolT) -> None: """Used to organize tools automatically in menu items Args: tool: parent tool """ self.parent_tool = tool def register_plot(self, baseplot: BasePlot) -> None: """Every BasePlot using this tool should call register_plot to notify the tool about this widget using it Args: baseplot: base plot """ self.plots.add(baseplot) def get_active_plot(self) -> BasePlot | None: """Return the currently active BasePlot or None if no plot is active""" for plot in self.plots: canvas = plot.canvas() if canvas.hasFocus(): return plot if len(self.plots) == 1: return list(self.plots)[0] return None def update_status(self, plot: BasePlot) -> None: """Update the status of the tool based on the currently active plot Can also be called after an action modifying the BasePlot (e.g. in order to update action states when an item is deselected) Args: plot: base plot """ pass def setup_context_menu(self, menu: QW.QMenu, plot: BasePlot) -> None: """If the tool supports it, this method should install an action in the context menu Args: menu: context menu plot: base plot """ pass class InteractiveTool(GuiTool): """Interactive tool base class Args: manager: plot manager toolbar_id: toolbar ID title: tool title icon: tool icon tip: tool tip switch_to_default_tool: switch to default tool when finished """ TITLE = None ICON = None TIP = None CURSOR = QC.Qt.CursorShape.CrossCursor SWITCH_TO_DEFAULT_TOOL = False # switch to default tool when finished #: Signal emitted by InteractiveTool when validating tool action SIG_VALIDATE_TOOL = QC.Signal(object) #: Signal emitted by InteractiveTool when tool job is finished SIG_TOOL_JOB_FINISHED = QC.Signal() def __init__( self, manager: PlotManager, toolbar_id=DefaultToolbarID, title: str | None = None, icon: str | None = None, tip: str | None = None, switch_to_default_tool: bool | None = None, ): if title is not None: self.TITLE = title if icon is not None: self.ICON = icon if tip is not None: self.TIP = tip super().__init__(manager, toolbar_id) # Starting state for every plotwidget we can act upon self.start_state = {} if switch_to_default_tool is None: switch_to_default_tool = self.SWITCH_TO_DEFAULT_TOOL if switch_to_default_tool: self.SIG_TOOL_JOB_FINISHED.connect(self.manager.activate_default_tool) def create_action(self, manager: PlotManager) -> QW.QAction: """Create and return tool's action Args: manager: plot manager Returns: Tool's action """ action = manager.create_action( self.TITLE, icon=get_icon(self.ICON), tip=self.TIP, triggered=self.activate ) action.setCheckable(True) group = self.manager.get_tool_group("interactive") group.addAction(action) group.triggered.connect(self.interactive_triggered) return action def cursor(self) -> QC.Qt.CursorShape: """Return tool mouse cursor shape""" return self.CURSOR def register_plot(self, baseplot: BasePlot) -> None: """Register plot Args: baseplot: base plot """ # TODO: With the introduction of PlotManager it should # be possible to remove the per tool dictionary start_state # since all plots from a manager share the same set of tools # the State Machine generated by the calls to tool.setup_filter # should be the same for all plots. Thus it should be done only once # and not once per plot managed by the plot manager super().register_plot(baseplot) filter = baseplot.filter start_state = self.setup_filter(baseplot) self.start_state[baseplot] = start_state curs = self.cursor() if curs is not None: filter.set_cursor(curs, start_state) def interactive_triggered(self, action: QW.QAction) -> None: """Slot called when the interactive tool action group is triggered. The purpose is to deactivate all other tools in the group. Note that the tool itself has already been activated because the action triggered the `activate` method. Args: action: tool action """ if action is not self.action: self.deactivate() def activate(self) -> None: """Activate tool""" for baseplot, start_state in list(self.start_state.items()): baseplot.filter.set_state(start_state, None) self.action.setChecked(True) self.manager.set_active_tool(self) def deactivate(self) -> None: """Deactivate tool""" self.action.setChecked(False) def validate(self, filter: StatefulEventFilter, event: QC.QEvent) -> None: """Validate tool action Args: filter: event filter event: event """ self.SIG_VALIDATE_TOOL.emit(filter) self.SIG_TOOL_JOB_FINISHED.emit() class CommandTool(GuiTool): """Base class for command tools: action, context menu entry Args: manager: plot manager title: tool title icon: tool icon tip: tool tip toolbar_id: toolbar ID """ CHECKABLE = False def __init__( self, manager: PlotManager, title: str, icon: str | None = None, tip: str | None = None, toolbar_id: Any | type[DefaultToolbarID] | None = DefaultToolbarID, ) -> None: self.title = title if icon and isinstance(icon, str): self.icon = get_icon(icon) else: self.icon = icon self.tip = tip super().__init__(manager, toolbar_id) def create_action(self, manager: PlotManager) -> QW.QAction: """Create and return tool's action Args: manager: plot manager Returns: Tool's action """ return manager.create_action( self.title, icon=self.icon, tip=self.tip, triggered=self.activate, checkable=self.CHECKABLE, ) def setup_context_menu(self, menu: QW.QMenu, plot: BasePlot) -> None: """Setup context menu Args: menu: context menu plot: base plot """ menu.addAction(self.action) def activate(self, checked: bool = True) -> None: """Activate tool Args: checked: checked """ plot = self.get_active_plot() if plot is not None: self.activate_command(plot, checked) def activate_command(self, plot: BasePlot, checked: bool) -> None: """Activate tool command Args: plot: base plot checked: checked """ pass def set_status_active_item(self, plot: BasePlot) -> None: """Set status active item Args: plot: base plot """ item = plot.get_active_item() if item: self.action.setEnabled(True) else: self.action.setEnabled(False) class ActionTool(CommandTool): """Tool that simply associate an action to a tool Args: manager: plot manager action: action item_types: item types toolbar_id: toolbar ID """ def __init__( self, manager: PlotManager, action: QW.QAction, item_types: Any | None = None, toolbar_id=DefaultToolbarID, ) -> None: self.associated_action = action self.item_types = item_types super().__init__( manager, action.text(), action.icon(), action.toolTip(), toolbar_id=toolbar_id, ) def update_status(self, plot: BasePlot) -> None: """Update the status of the tool based on the currently active plot Can also be called after an action modifying the BasePlot (e.g. in order to update action states when an item is deselected) Args: plot: base plot """ if self.item_types is None: self.action.setEnabled(True) else: items = plot.get_selected_items() self.action.setEnabled( any(isinstance(item, self.item_types) for item in items) ) def create_action(self, manager: PlotManager) -> QW.QAction: """Create and return tool's action Args: manager: plot manager Returns: Tool's action """ return self.associated_action class ToggleTool(CommandTool): """Toggle tool base class Args: manager: plot manager title: tool title icon: tool icon tip: tool tip toolbar_id: toolbar ID """ CHECKABLE = True def __init__( self, manager: PlotManager, title: str, icon: str | None = None, tip: str | None = None, toolbar_id: Any | type[DefaultToolbarID] | None = None, ) -> None: super().__init__(manager, title, icon, tip, toolbar_id) class PanelTool(ToggleTool): """Panel tool base class Args: manager: plot manager """ panel_id = None panel_name = None def __init__(self, manager: PlotManager) -> None: super().__init__(manager, self.panel_name) manager.get_panel(self.panel_id).SIG_VISIBILITY_CHANGED.connect( self.action.setChecked ) def activate_command(self, plot: BasePlot, checked: bool) -> None: """Activate tool command Args: plot: base plot checked: checked """ panel = self.manager.get_panel(self.panel_id) panel.setVisible(checked) def update_status(self, plot: BasePlot) -> None: """Update the status of the tool based on the currently active plot Can also be called after an action modifying the BasePlot (e.g. in order to update action states when an item is deselected) Args: plot: base plot """ panel = self.manager.get_panel(self.panel_id) self.action.setChecked(panel.isVisible()) class RectangularActionTool(InteractiveTool): """Rectangular action tool base class Args: manager: plot manager func: function shape_style: shape style toolbar_id: toolbar ID title: tool title icon: tool icon tip: tool tip fix_orientation: fix orientation switch_to_default_tool: switch to default tool """ SHAPE_STYLE_SECT = "plot" SHAPE_STYLE_KEY = "shape/drag" AVOID_NULL_SHAPE = False def __init__( self, manager: PlotManager, func: Callable, shape_style: tuple[str, str] | None = None, toolbar_id: Any | type[DefaultToolbarID] | None = DefaultToolbarID, title: str | None = None, icon: str | None = None, tip: str | None = None, fix_orientation: bool = False, switch_to_default_tool: bool | None = None, ): self.action_func = func self.fix_orientation = fix_orientation super().__init__( manager, toolbar_id, title=title, icon=icon, tip=tip, switch_to_default_tool=switch_to_default_tool, ) if shape_style is not None: self.shape_style_sect = shape_style[0] self.shape_style_key = shape_style[1] else: self.shape_style_sect = self.SHAPE_STYLE_SECT self.shape_style_key = self.SHAPE_STYLE_KEY self.last_final_shape: RectangleShape | None = None self.switch_to_default_tool = switch_to_default_tool def get_last_final_shape(self) -> RectangleShape | None: """Get last final shape""" if self.last_final_shape is not None: return self.last_final_shape() def set_shape_style(self, shape: RectangleShape) -> None: """Set shape style Args: shape: shape """ shape.set_style(self.shape_style_sect, self.shape_style_key) def create_shape(self) -> tuple[RectangleShape, int, int]: """Create shape Returns: A tuple with the shape, and the two handles """ shape = RectangleShape(0, 0, 1, 1) self.set_shape_style(shape) return shape, 0, 2 def setup_shape(self, shape: RectangleShape) -> None: """Setup shape Args: shape: shape """ pass def get_shape(self) -> tuple[RectangleShape, int, int]: """Get shape Returns: A tuple with the shape, and the two handles """ shape, h0, h1 = self.create_shape() self.setup_shape(shape) return shape, h0, h1 def get_final_shape( self, plot: BasePlot, p0: QPointF, p1: QPointF ) -> RectangleShape: """Get final shape Args: plot: base plot p0: point 0 p1: point 1 Returns: Final shape """ shape, h0, h1 = self.create_shape() self.setup_shape(shape) plot.add_item_with_z_offset(shape, SHAPE_Z_OFFSET) shape.move_local_point_to(h0, p0) shape.move_local_point_to(h1, p1) self.last_final_shape = weakref.ref(shape) return shape def get_selection_handler( self, filter: StatefulEventFilter, start_state: int ) -> RectangularSelectionHandler: """Get selection handler Args: filter: event filter start_state: start state Returns: Selection handler """ return RectangularSelectionHandler( filter, QC.Qt.LeftButton, start_state=start_state ) def setup_filter(self, baseplot: BasePlot) -> int: """Setup filter Args: baseplot: base plot Returns: Start state """ filter = baseplot.filter start_state = filter.new_state() handler = self.get_selection_handler(filter, start_state) shape, h0, h1 = self.get_shape() handler.set_shape( shape, h0, h1, self.setup_shape, avoid_null_shape=self.AVOID_NULL_SHAPE ) handler.SIG_END_RECT.connect(self.end_rect) return setup_standard_tool_filter(filter, start_state) def end_rect( self, filter: StatefulEventFilter, p0: QC.QPointF, p1: QC.QPointF ) -> None: """End rect (this method is called when the rectangular selection is finished) Args: filter: event filter p0: point 0 p1: point 1 """ plot = filter.plot if self.fix_orientation: left, right = min(p0.x(), p1.x()), max(p0.x(), p1.x()) top, bottom = min(p0.y(), p1.y()), max(p0.y(), p1.y()) self.action_func(plot, QC.QPointF(left, top), QC.QPointF(right, bottom)) else: self.action_func(plot, p0, p1) self.SIG_TOOL_JOB_FINISHED.emit() if self.switch_to_default_tool: shape = self.get_last_final_shape() plot.set_active_item(shape) class LastItemHolder: """Class to hold a weak reference to the last item""" def __init__( self, item_type: IImageItemType | ICurveItemType | IDecoratorItemType ) -> None: self._item_type = item_type self._last_item: ( weakref.ReferenceType[CurveItem | BaseImageItem | QuiverItem] | None ) = None def set(self, item: CurveItem | BaseImageItem | QuiverItem) -> None: """Set the last item Args: item: BaseImageItem instance """ self._last_item = weakref.ref(item) def get(self) -> CurveItem | BaseImageItem | QuiverItem | None: """Get the last item Returns: BaseImageItem instance or None """ if self._last_item is not None: return self._last_item() return None def update_from_selection( self, plot: BasePlot ) -> CurveItem | BaseImageItem | QuiverItem | None: """Update the last item from the selected items of the plot, and return it. Args: plot: BasePlot instance """ items = plot.get_selected_items(item_type=self._item_type) if len(items) == 1: self.set(items[0]) return self.get() PlotPyStack-PlotPy-2af0906/plotpy/tools/cross_section.py000066400000000000000000000105401525747167300234440ustar00rootroot00000000000000# -*- coding: utf-8 -*- from __future__ import annotations from typing import TYPE_CHECKING from plotpy.config import _ from plotpy.constants import ID_LCS, ID_OCS, ID_XCS, ID_YCS from plotpy.interfaces import IImageItemType from plotpy.items import ( AnnotatedObliqueRectangle, AnnotatedPoint, AnnotatedRectangle, AnnotatedSegment, ) from plotpy.styles import AnnotationParam from plotpy.tools.base import PanelTool from plotpy.tools.image import update_image_tool_status from plotpy.tools.shape import RectangularShapeTool if TYPE_CHECKING: from plotpy.plot import BasePlot class CrossSectionTool(RectangularShapeTool): SWITCH_TO_DEFAULT_TOOL = True TITLE = _("Cross section") ICON = "csection.png" SHAPE_STYLE_KEY = "shape/cross_section" SHAPE_TITLE = TITLE PANEL_IDS = (ID_XCS, ID_YCS) def update_status(self, plot: BasePlot) -> None: """Update status of the tool""" if update_image_tool_status(self, plot): item = plot.get_items(item_type=IImageItemType) self.action.setEnabled(len(item) > 0) def create_shape(self) -> AnnotatedPoint: """Create shape for the tool""" return AnnotatedPoint(0, 0), 0, 0 def setup_shape(self, shape: AnnotatedPoint) -> None: """Set up shape for the tool""" self.setup_shape_appearance(shape) super().setup_shape(shape) self.register_shape(shape) def setup_shape_appearance(self, shape: AnnotatedPoint) -> None: """Set up shape appearance""" self.set_shape_style(shape) param = shape.annotationparam param.title = self.SHAPE_TITLE # param.show_computations = False param.update_item(shape) def register_shape(self, shape: AnnotatedPoint) -> None: """Register shape""" plot = shape.plot() if plot is not None: plot.unselect_all() plot.set_active_item(shape) for panel_id in self.PANEL_IDS: panel = self.manager.get_panel(panel_id) if panel is not None: panel.register_shape(shape) def activate(self) -> None: """Activate tool""" super().activate() for panel_id in self.PANEL_IDS: panel = self.manager.get_panel(panel_id) panel.setVisible(True) shape = self.get_last_final_shape() if shape is not None: panel.update_plot(shape) def handle_final_shape(self, shape: AnnotatedPoint) -> None: """Handle final shape""" super().handle_final_shape(shape) self.register_shape(shape) class AverageCrossSectionTool(CrossSectionTool): SWITCH_TO_DEFAULT_TOOL = True TITLE = _("Average cross section") ICON = "csection_a.png" SHAPE_STYLE_KEY = "shape/average_cross_section" SHAPE_TITLE = TITLE def create_shape(self) -> AnnotatedRectangle: """Create shape for the tool""" return AnnotatedRectangle(0, 0, 1, 1), 0, 2 class LineCrossSectionTool(CrossSectionTool): SWITCH_TO_DEFAULT_TOOL = True TITLE = _("Line cross section") ICON = "csection_line.png" SHAPE_STYLE_KEY = "shape/average_cross_section" SHAPE_TITLE = TITLE PANEL_IDS = (ID_LCS,) def create_shape(self) -> AnnotatedSegment: """Create shape for the tool""" param = AnnotationParam.create(show_label=False, show_computations=False) return AnnotatedSegment(0, 0, 1, 1, param), 0, 1 class ObliqueCrossSectionTool(CrossSectionTool): SWITCH_TO_DEFAULT_TOOL = True TITLE = _("Oblique averaged cross section") ICON = "csection_oblique.png" SHAPE_STYLE_KEY = "shape/average_cross_section" SHAPE_TITLE = TITLE PANEL_IDS = (ID_OCS,) def create_shape(self) -> AnnotatedObliqueRectangle: """Create shape for the tool""" annotation = AnnotatedObliqueRectangle(0, 0, 1, 0, 1, 1, 0, 1) self.set_shape_style(annotation) annotation.set_icon_name(self.ICON) return annotation, 0, 2 class XCSPanelTool(PanelTool): panel_name = _("X-axis cross section") panel_id = ID_XCS class YCSPanelTool(PanelTool): panel_name = _("Y-axis cross section") panel_id = ID_YCS class OCSPanelTool(PanelTool): panel_name = _("Oblique averaged cross section") panel_id = ID_OCS class LCSPanelTool(PanelTool): panel_name = _("Line cross section") panel_id = ID_LCS PlotPyStack-PlotPy-2af0906/plotpy/tools/cursor.py000066400000000000000000000063521525747167300221120ustar00rootroot00000000000000# -*- coding: utf-8 -*- from qtpy import QtCore as QC from plotpy.config import _ from plotpy.constants import SHAPE_Z_OFFSET from plotpy.events import QtDragHandler, setup_standard_tool_filter from plotpy.items import Marker, XRangeSelection from plotpy.tools.base import DefaultToolbarID, InteractiveTool class BaseCursorTool(InteractiveTool): """ """ TITLE = None ICON = None def __init__( self, manager, toolbar_id=DefaultToolbarID, title=None, icon=None, tip=None, switch_to_default_tool=None, ): super().__init__( manager, toolbar_id, title=title, icon=icon, tip=tip, switch_to_default_tool=switch_to_default_tool, ) self.shape = None def create_shape(self): """Create and return the cursor/range shape""" raise NotImplementedError def setup_filter(self, baseplot): """ :param baseplot: :return: """ filter = baseplot.filter # Initialisation du filtre start_state = filter.new_state() # Bouton gauche : self.handler = QtDragHandler( filter, QC.Qt.MouseButton.LeftButton, start_state=start_state ) self.handler.SIG_MOVE.connect(self.move) self.handler.SIG_STOP_NOT_MOVING.connect(self.end_move) self.handler.SIG_STOP_MOVING.connect(self.end_move) return setup_standard_tool_filter(filter, start_state) def move(self, filter, event): """ :param filter: :param event: """ plot = filter.plot if not self.shape: self.shape = self.create_shape() self.shape.attach(plot) self.shape.setZ(plot.get_max_z() + 1) self.shape.move_local_point_to(0, event.pos()) self.shape.setVisible(True) self.shape.move_local_point_to(1, event.pos()) plot.replot() def end_move(self, filter, event): """ :param filter: :param event: """ if self.shape is not None: assert self.shape.plot() == filter.plot filter.plot.add_item_with_z_offset(self.shape, SHAPE_Z_OFFSET) self.shape = None self.SIG_TOOL_JOB_FINISHED.emit() class HRangeTool(BaseCursorTool): TITLE = _("Horizontal selection") ICON = "xrange.png" def create_shape(self): """ :return: """ return XRangeSelection(0, 0) class VCursorTool(BaseCursorTool): TITLE = _("Vertical cursor") ICON = "vcursor.png" def create_shape(self): """ :return: """ marker = Marker() marker.set_markerstyle("|") return marker class HCursorTool(BaseCursorTool): TITLE = _("Horizontal cursor") ICON = "hcursor.png" def create_shape(self): """ :return: """ marker = Marker() marker.set_markerstyle("-") return marker class XCursorTool(BaseCursorTool): TITLE = _("Cross cursor") ICON = "xcursor.png" def create_shape(self): """ :return: """ marker = Marker() marker.set_markerstyle("+") return marker PlotPyStack-PlotPy-2af0906/plotpy/tools/curve.py000066400000000000000000001273771525747167300217340ustar00rootroot00000000000000# -*- coding: utf-8 -*- """Curve tools""" from __future__ import annotations from typing import TYPE_CHECKING, Any, Callable import numpy as np import scipy.integrate as spt from guidata.dataset import ChoiceItem, DataSet, FloatItem, IntItem from guidata.qthelpers import execenv from guidata.widgets.arrayeditor import ArrayEditor from qtpy import QtCore as QC from qtpy import QtGui as QG from qtpy import QtWidgets as QW from plotpy.config import _ from plotpy.constants import SHAPE_Z_OFFSET from plotpy.coords import axes_to_canvas, canvas_to_axes from plotpy.events import ( KeyEventMatch, QtDragHandler, StandardKeyMatch, StatefulEventFilter, setup_standard_tool_filter, ) from plotpy.interfaces import ICurveItemType from plotpy.items import Marker, XRangeSelection, YRangeSelection from plotpy.items.curve.base import CurveItem from plotpy.tools.base import ( DefaultToolbarID, InteractiveTool, LastItemHolder, ToggleTool, ) from plotpy.tools.cursor import BaseCursorTool if TYPE_CHECKING: from plotpy.items.label import DataInfoLabel from plotpy.plot.base import BasePlot from plotpy.plot.manager import PlotManager class BaseRangeCursorTool(BaseCursorTool): """Base range cursor tool Args: manager: PlotManager Instance toolbar_id: Toolbar Id to use. Defaults to DefaultToolbarID. title: Tool name. Defaults to None. icon: Tool icon path. Defaults to None. tip: Available tip. Defaults to None. switch_to_default_tool: Wether to use as the default tool or not. Defaults to None. """ TITLE = "" ICON = "" # No icon by default, subclasses should set this SWITCH_TO_DEFAULT_TOOL = True LABELFUNCS: tuple[tuple[str, Callable[..., Any]], ...] | None = None SHAPECLASS: type[XRangeSelection | YRangeSelection] = XRangeSelection def __init__( self, manager: PlotManager, labelfuncs: tuple[tuple[str, Callable[..., Any]], ...] | None = None, toolbar_id: Any = DefaultToolbarID, title: str | None = None, icon: str | None = None, tip: str | None = None, ) -> None: super().__init__(manager, toolbar_id, title=title, icon=icon, tip=tip) self.last_item_holder = LastItemHolder(ICurveItemType) self.label: DataInfoLabel | None = None self.labelfuncs = labelfuncs or self.LABELFUNCS def create_shape(self) -> XRangeSelection | YRangeSelection: """Create shape associated with the tool""" assert self.SHAPECLASS is not None, "SHAPECLASS must be set in subclasses" return self.SHAPECLASS(0, 0) def get_label_title(self) -> str | None: """Return label title""" return self.TITLE def get_computation_specs(self): """Return computation specs""" raise NotImplementedError def create_label(self) -> DataInfoLabel: """Create label associated with the tool""" # The following import is here to avoid circular imports # pylint: disable=import-outside-toplevel from plotpy.builder import make plot = self.manager.get_plot() title = self.get_label_title() specs = self.get_computation_specs() label = make.computations(self.shape, "TL", specs, title) label.attach(plot) label.setZ(plot.get_max_z() + 1) label.setVisible(True) return label def move(self, filter: StatefulEventFilter, event: QG.QMouseEvent) -> None: """Move tool action Args: filter: StatefulEventFilter instance event: Qt mouse event """ super().move(filter, event) if self.label is None: self.label = self.create_label() def end_move(self, filter: StatefulEventFilter, event: QG.QMouseEvent) -> None: """End shape move Args: filter: StatefulEventFilter instance event: Qt mouse event """ super().end_move(filter, event) if self.label is not None: filter.plot.add_item_with_z_offset(self.label, SHAPE_Z_OFFSET) self.label = None class CurveStatsTool(BaseRangeCursorTool): """X-range curve statistics tool Args: manager: PlotManager Instance toolbar_id: Toolbar Id to use. Defaults to DefaultToolbarID. title: Tool name. Defaults to None. icon: Tool icon path. Defaults to None. tip: Available tip. Defaults to None. switch_to_default_tool: Wether to use as the default tool or not. Defaults to None. """ TITLE = _("Signal statistics") ICON = "xrange.png" LABELFUNCS: tuple[tuple[str, Callable[..., Any]], ...] = ( ("%g < x < %g", lambda *args: (np.nanmin(args[0]), np.nanmax(args[0]))), ("%g < y < %g", lambda *args: (np.nanmin(args[1]), np.nanmax(args[1]))), ("โˆ†x=%g", lambda *args: np.nanmax(args[0]) - np.nanmin(args[0])), ("โˆ†y=%g", lambda *args: np.nanmax(args[1]) - np.nanmin(args[1])), ("<y>=%g", lambda *args: np.nanmean(args[1])), ("ฯƒ(y)=%g", lambda *args: np.nanstd(args[1])), ("โˆ‘(y)=%g", lambda *args: np.nansum(args[1])), ("โˆซydx=%g", lambda *args: spt.trapezoid(args[1], args[0])), ) SHAPECLASS = XRangeSelection def set_labelfuncs( self, labelfuncs: tuple[tuple[str, Callable[..., Any]], ...] ) -> None: """Set label functions Args: labelfuncs: Label functions Example: .. code-block:: python labelfuncs = ( ("%g < x < %g", lambda *args: (args[0].min(), args[0].max())), ("%g < y < %g", lambda *args: (args[1].min(), args[1].max())), ("<y>=%g", lambda *args: args[1].mean()), ("ฯƒ(y)=%g", lambda *args: args[1].std()), ("โˆ‘(y)=%g", lambda *args: np.sum(args[1])), ("โˆซydx=%g", lambda *args: spt.trapezoid(args[1], args[0])), ) """ self.labelfuncs = labelfuncs def get_label_title(self) -> str | None: """Return label title""" curve = self.last_item_holder.update_from_selection(self.manager.get_plot()) return curve.title().text() if curve else None def get_computation_specs(self) -> list[tuple[CurveItem, str, Callable[..., Any]]]: """Return computation specs""" curve = self.last_item_holder.update_from_selection(self.manager.get_plot()) return [(curve, label, func) for label, func in self.labelfuncs] def update_status(self, plot: BasePlot) -> None: """Update tool status Args: plot: BasePlot instance """ item = self.last_item_holder.update_from_selection(plot) self.action.setEnabled(item is not None) class YRangeCursorTool(BaseRangeCursorTool): """Y-range cursor tool Args: manager: PlotManager Instance toolbar_id: Toolbar Id to use. Defaults to DefaultToolbarID. title: Tool name. Defaults to None. icon: Tool icon path. Defaults to None. tip: Available tip. Defaults to None. switch_to_default_tool: Wether to use as the default tool or not. Defaults to None. """ TITLE = _("Y-range") ICON = "yrange.png" LABELFUNCS: tuple[tuple[str, Callable[..., Any]], ...] = ( ("%g < y < %g", lambda ymin, ymax: (min(ymin, ymax), max(ymin, ymax))), ("โˆ†y=%g", lambda ymin, ymax: abs(ymax - ymin)), ) SHAPECLASS = YRangeSelection def set_labelfuncs( self, labelfuncs: tuple[tuple[str, Callable[..., Any]], ...] ) -> None: """Set label functions Args: labelfuncs: Label functions Example: .. code-block:: python labelfuncs = ( ("%g < y < %g", lambda ymin, ymax: (ymin, ymax)), ("โˆ†y=%g", lambda ymin, ymax: ymax - ymin), ) """ self.labelfuncs = labelfuncs def get_computation_specs(self) -> list[tuple[str, Callable[..., Any]]]: """Return computation specs""" return [(label, func) for label, func in self.labelfuncs] class AntiAliasingTool(ToggleTool): """Anti-aliasing tool Args: manager: PlotManager Instance """ def __init__(self, manager: PlotManager) -> None: super().__init__(manager, _("Antialiasing (curves)")) def activate_command(self, plot: BasePlot, checked: bool) -> None: """Activate tool""" plot.set_antialiasing(checked) plot.replot() def update_status(self, plot: BasePlot) -> None: """Update tool status Args: plot: BasePlot instance """ self.action.setChecked(plot.antialiased) class SelectPointTool(InteractiveTool): """Curve point selection tool Args: manager: PlotManager Instance mode: Selection mode. Defaults to "reuse". on_active_item: Wether to use the active item or not. Defaults to False. title: Tool name. Defaults to None. icon: Tool icon path. Defaults to None. tip: Available tip. Defaults to None. end_callback: Callback function taking a Self instance as argument that will be passed when the user stops dragging the point. Defaults to None. toolbar_id: Toolbar Id to use. Defaults to DefaultToolbarID. marker_style: Marker style. Defaults to None. switch_to_default_tool: Wether to use as the default tool or not. Defaults to None. """ TITLE = _("Point selection") ICON = "point_selection.png" MARKER_STYLE_SECT = "plot" MARKER_STYLE_KEY = "marker/curve" CURSOR = QC.Qt.CursorShape.PointingHandCursor def __init__( self, manager: PlotManager, mode: str = "reuse", on_active_item: bool = False, title: str | None = None, icon: str | None = None, tip: str | None = None, end_callback: Callable[[SelectPointTool], Any] | None = None, toolbar_id=DefaultToolbarID, marker_style=None, switch_to_default_tool=None, ) -> None: super().__init__( manager, toolbar_id, title=title, icon=icon, tip=tip, switch_to_default_tool=switch_to_default_tool, ) assert mode in ("reuse", "create") self.mode = mode self.end_callback = end_callback self.marker = None self.last_pos = None self.on_active_item = on_active_item if marker_style is not None: self.marker_style_sect = marker_style[0] self.marker_style_key = marker_style[1] else: self.marker_style_sect = self.MARKER_STYLE_SECT self.marker_style_key = self.MARKER_STYLE_KEY def set_marker_style(self, marker: Marker) -> None: """Configure marker style Args: marker: Marker instance """ marker.set_style(self.marker_style_sect, self.marker_style_key) def setup_filter(self, baseplot: BasePlot) -> StatefulEventFilter: """Setup event filter Args: baseplot: BasePlot instance Returns: StatefulEventFilter instance """ filter = baseplot.filter # Initialisation du filtre start_state = filter.new_state() # Bouton gauche : handler = QtDragHandler( filter, QC.Qt.MouseButton.LeftButton, start_state=start_state ) handler.SIG_START_TRACKING.connect(self.start) handler.SIG_MOVE.connect(self.move) handler.SIG_STOP_NOT_MOVING.connect(self.stop) handler.SIG_STOP_MOVING.connect(self.stop) return setup_standard_tool_filter(filter, start_state) def start(self, filter: StatefulEventFilter, event: QG.QMouseEvent) -> None: """Start tool action Args: filter: StatefulEventFilter instance event: Qt mouse event """ if self.marker is None: title = "" if self.TITLE: title = f"{self.TITLE}
" if self.on_active_item: constraint_cb = filter.plot.on_active_curve def label_cb(x, y): return title + filter.plot.get_coordinates_str(x, y) else: constraint_cb = None def label_cb(x, y): return f"{title}x = {x:g}
y = {y:g}" self.marker = Marker(label_cb=label_cb, constraint_cb=constraint_cb) self.set_marker_style(self.marker) self.marker.attach(filter.plot) self.marker.setZ(filter.plot.get_max_z() + 1) self.marker.setVisible(True) def stop(self, filter: StatefulEventFilter, event: QG.QMouseEvent) -> None: """Stop tool action Args: filter: StatefulEventFilter instance event: Qt mouse event """ self.move(filter, event) if self.mode != "reuse": self.marker.detach() self.marker = None if self.end_callback: self.end_callback(self) def move(self, filter: StatefulEventFilter, event: QG.QMouseEvent) -> None: """Move tool action Args: filter: StatefulEventFilter instance event: Qt mouse event """ if self.marker is None: return # something is wrong ... self.marker.move_local_point_to(0, event.pos()) filter.plot.replot() self.last_pos = self.marker.xValue(), self.marker.yValue() def get_coordinates(self) -> tuple[float, float] | None: """Get last coordinates""" return self.last_pos class SelectPointsTool(InteractiveTool): """Curve points selection tool Args: manager: PlotManager Instance mode: Selection mode. Defaults to "reuse". on_active_item: Wether to use the active item or not. Defaults to False. title: Tool name. Defaults to None. icon: Tool icon path. Defaults to None. tip: Available tip. Defaults to None. end_callback: Callback function taking a Self instance as argument that will be passed when the user stops dragging the point. Defaults to None. toolbar_id: Toolbar Id to use. Defaults to DefaultToolbarID. marker_style: Marker style. Defaults to None. switch_to_default_tool: Wether to use as the default tool or not. Defaults to None. max_select: Maximum number of points to select. Defaults to None. """ TITLE = _("Multi-point selection") ICON = "multipoint_selection.png" MARKER_STYLE_SECT = "plot" MARKER_STYLE_KEY = "marker/curve" CURSOR = QC.Qt.CursorShape.PointingHandCursor def __init__( self, manager, mode="reuse", on_active_item=True, title=None, icon=None, tip=None, end_callback: Callable[[SelectPointsTool], Any] | None = None, toolbar_id=DefaultToolbarID, marker_style=None, switch_to_default_tool=None, max_select: int | None = None, ) -> None: super().__init__( manager, toolbar_id, title=title, icon=icon, tip=tip, switch_to_default_tool=switch_to_default_tool, ) assert mode in ("reuse", "create") self.mode = mode self.end_callback = end_callback self.current_location_marker: Marker | None = None self.markers: dict[tuple[float, float], Marker] = {} self.on_active_item = on_active_item self.max_select = max_select if marker_style is not None: self.marker_style_sect = marker_style[0] self.marker_style_key = marker_style[1] else: self.marker_style_sect = self.MARKER_STYLE_SECT self.marker_style_key = self.MARKER_STYLE_KEY def set_marker_style(self, marker: Marker) -> None: """Configure marker style Args: marker: Marker instance """ marker.set_style(self.marker_style_sect, self.marker_style_key) def setup_filter(self, baseplot: BasePlot) -> StatefulEventFilter: """Setup event filter Args: baseplot: BasePlot instance Returns: StatefulEventFilter instance """ filter = baseplot.filter # Initialisation du filtre start_state = filter.new_state() # Bouton gauche : single_selection_handler = QtDragHandler( filter, QC.Qt.MouseButton.LeftButton, start_state=start_state, ) single_selection_handler.SIG_START_TRACKING.connect(self.start_single_selection) single_selection_handler.SIG_MOVE.connect(self.move) single_selection_handler.SIG_STOP_NOT_MOVING.connect(self.stop_single_selection) single_selection_handler.SIG_STOP_MOVING.connect(self.stop_single_selection) multi_selection_handler = QtDragHandler( filter, QC.Qt.MouseButton.LeftButton, start_state=start_state, mods=QC.Qt.KeyboardModifier.ControlModifier, ) multi_selection_handler.SIG_START_TRACKING.connect(self.start_multi_selection) multi_selection_handler.SIG_MOVE.connect(self.move) multi_selection_handler.SIG_STOP_NOT_MOVING.connect(self.stop_multi_selection) multi_selection_handler.SIG_STOP_MOVING.connect(self.stop_multi_selection) return setup_standard_tool_filter(filter, start_state) def _init_current_marker( self, filter: StatefulEventFilter, event: QG.QMouseEvent, force_new_marker=False, title: str = "", ) -> None: """Initialize current marker Args: filter: StatefulEventFilter instance event: Qt mouse event force_new_marker: Wether to force a new marker or not. Defaults to False. title: Marker title. Defaults to "". """ plot = filter.plot if plot is None: return if force_new_marker or self.current_location_marker is None: title = title or f"{self.TITLE} {len(self.markers)}
" constraint_cb = plot.on_active_curve if self.on_active_item else None label_cb = self.__new_label_cb(filter, title) self.current_location_marker = Marker( label_cb=label_cb, constraint_cb=constraint_cb ) assert self.current_location_marker self.set_marker_style(self.current_location_marker) self.current_location_marker.attach(filter.plot) self.current_location_marker.setZ(plot.get_max_z() + 1) self.current_location_marker.setVisible(True) def start_single_selection( self, filter: StatefulEventFilter, event: QG.QMouseEvent ) -> None: """Start single selection Args: filter: StatefulEventFilter instance event: Qt mouse event """ self._init_current_marker(filter, event, force_new_marker=True) def start_multi_selection( self, filter: StatefulEventFilter, event: QG.QMouseEvent ) -> None: """Start multi selection Args: filter: StatefulEventFilter instance event: Qt mouse event """ self._init_current_marker(filter, event, force_new_marker=True) assert self.current_location_marker self.current_location_marker.label_cb = self.__new_label_cb( filter, index=len(self.markers) + 1 ) def move(self, filter: StatefulEventFilter, event: QG.QMouseEvent) -> None: """Move tool action Args: filter: StatefulEventFilter instance event: Qt mouse event """ plot = filter.plot if plot is None: return if self.current_location_marker is None: return # something is wrong ... self.current_location_marker.move_local_point_to(0, event.pos()) plot.replot() def common_stop(self, filter: StatefulEventFilter, event: QG.QMouseEvent) -> None: """Common stop action Args: filter: StatefulEventFilter instance event: Qt mouse event """ self.move(filter, event) if self.mode != "reuse" and self.current_location_marker is not None: self.current_location_marker.detach() self.current_location_marker = None def stop_single_selection( self, filter: StatefulEventFilter, event: QG.QMouseEvent ) -> None: """Stop single selection Args: filter: StatefulEventFilter instance event: Qt mouse event """ assert self.current_location_marker self.common_stop(filter, event) # self.clear_markers((self.current_location_marker,)) self.clear_markers() self.toggle_marker(self.current_location_marker) self.update_labels(filter) if self.end_callback: self.end_callback(self) def stop_multi_selection( self, filter: StatefulEventFilter, event: QG.QMouseEvent ) -> None: """Stop multi selection Args: filter: StatefulEventFilter instance event: Qt mouse event """ assert self.current_location_marker self.common_stop(filter, event) self.toggle_marker(self.current_location_marker) if self.max_select is not None and len(self.markers) > self.max_select: xy = next(iter(self.markers)) self.markers.pop(xy).detach() self.update_labels(filter) if self.end_callback: self.end_callback(self) def toggle_marker(self, marker: Marker) -> bool: """Toggle marker Args: marker: Marker instance Returns: bool: Wether the marker was added or not """ assert marker xy = marker.xValue(), marker.yValue() entry_marker = self.markers.setdefault(xy, marker) if entry_marker is not marker: self.markers.pop(xy).detach() entry_marker.detach() marker.detach() self.current_location_marker = None return False return True def clear_markers(self, exclude_detach: tuple[Marker, ...] | None = None) -> None: """Clear markers Args: exclude_detach: Markers to exclude from detachment. Defaults to None. """ exclude_detach = exclude_detach or tuple() _ = list( map( lambda m: m.detach(), filter( lambda m: m not in exclude_detach, self.markers.values(), ), ) ) self.markers.clear() def update_labels(self, filter: StatefulEventFilter) -> None: """Update labels Args: filter: StatefulEventFilter instance """ for i, marker in enumerate(self.markers.values()): marker.label_cb = self.__new_label_cb(filter, index=i + 1) def __new_label_cb( self, filter: StatefulEventFilter, title: str = "", index: int = 1 ) -> Callable[[float, float], str]: """Create new label callback Args: filter: StatefulEventFilter instance title: Title. Defaults to "". index: Index. Defaults to 1. Returns: Label callback """ title = title or f"{self.TITLE} - {index}
" if self.on_active_item: def label_cb(x, y): # type: ignore return title + filter.plot.get_coordinates_str(x, y) else: def label_cb(x, y): return f"{title}{' - ' if title else ''}{index} x = {x:g}
y = {y:g}" return label_cb def get_coordinates(self) -> tuple[tuple[float, float], ...]: """Get all selected coordinates""" return tuple(self.markers.keys()) class InsertionDataSet(DataSet): """Insertion parameters""" __index = IntItem(_("Insertion index"), min=0, default=0) index = __index value = FloatItem(_("New value"), default=0.0) index_offset = ChoiceItem( _("Location"), choices=[_("Before"), _("After")], default=0 ) @classmethod def set_max_index(cls, max_index: int): """Sets the maximum index value for the index field Args: max_index: max index value """ cls.index.set_prop("data", max=max_index) class EditPointTool(InteractiveTool): """Curve point edition tool Args: manager: PlotManager Instance toolbar_id: Toolbar Id to use . Defaults to DefaultToolbarID. title: Tool name. Defaults to None. icon: Tool icon path. Defaults to None. tip: Available tip. Defaults to None. switch_to_default_tool: Wether to use as the default tool or not. Defaults to None. end_callback: Callback function taking a Self instance as argument that will be passed when the user stops dragging the point. Defaults to None. """ TITLE = _("Edit point") ICON = "edit_point_selection.png" MARKER_STYLE_SECT = "plot" MARKER_STYLE_KEY = "marker/curve" CURSOR = QC.Qt.CursorShape.PointingHandCursor def __init__( self, manager: PlotManager, toolbar_id=DefaultToolbarID, title: str | None = None, icon: str | None = None, tip: str | None = None, switch_to_default_tool: bool | None = None, end_callback: Callable[[EditPointTool], Any] | None = None, ) -> None: super().__init__(manager, toolbar_id, title, icon, tip, switch_to_default_tool) self.__x: np.ndarray | None = None self.__y: np.ndarray | None = None self.__x_bkp: np.ndarray | None = None self.__y_bkp: np.ndarray | None = None self.__current_location_marker: Marker | None = None self.__idx: int = 0 self.__dsampled_idx: int = 0 self.__lower_upper_x_bounds: tuple[float, float] = 0, 0 self.marker_style_sect = self.MARKER_STYLE_SECT self.marker_style_key = self.MARKER_STYLE_KEY self.__indexed_changes: dict[CurveItem, dict[int, tuple[float, float]]] = {} self.__selection_threshold: float = 0.0 self.end_callback = end_callback self.__dsampling = 1 # synchronized with the active CurveItem self.__curve_item_array_backup: dict[ CurveItem, tuple[np.ndarray, np.ndarray] ] = {} self.dragging_point = False def set_marker_style(self, marker: Marker) -> None: """Configure marker style Args: marker: Marker instance """ marker.set_style(self.marker_style_sect, self.marker_style_key) def __get_selection_threshold(self, filter: StatefulEventFilter) -> float: """Computes a distance threshold from the current point selected (self._x, self._y) and the previous and next curve points. This threshold can be used to know if the user is close enough to the selected point to be allowed to move it. The threshold will be larger if the curve points are far from each other and lower if they are closer (locally adjusted). Args: filter: StatefulEventFilter instance Returns: Selection threshold (distance) """ curve_item = self.__get_active_curve_item(filter) # Check if a point has been selected if self.__x is not None and self.__y is not None: # get previous and next curve points coordinates with bound checking lower_index_bound = max(self.__dsampled_idx - 1, 0) higher_index_bound = min( self.downsampled_x.shape[0], self.__dsampled_idx + 2 ) # Get x and y arrays of neigboring points (at coordinates i-1, i, i+1) axes_x_points = self.downsampled_x[lower_index_bound:higher_index_bound] axes_y_points = self.downsampled_y[lower_index_bound:higher_index_bound] # Create empty array where axes coordinates will be converted to canvas # coordinates canva_x_points, canva_y_points = ( np.zeros(axes_x_points.size), np.zeros(axes_x_points.size), ) # Convert axes coordinates to canvas coordinates for i, (x, y) in enumerate(zip(axes_x_points, axes_y_points)): new_x, new_y = axes_to_canvas(curve_item, x, y) or (None, None) assert new_x is not None and new_y is not None canva_x_points[i], canva_y_points[i] = new_x, new_y # computes the delta between the current point and its neighbors dx, dy = np.ediff1d(canva_x_points), np.ediff1d(canva_y_points) # returns the mean distance between the current point and its neighbors return np.linalg.norm((dx, dy), axis=0).min() / 2 return 0.0 def setup_filter(self, baseplot: BasePlot) -> StatefulEventFilter: """Setup event filter Args: baseplot: BasePlot instance Returns: StatefulEventFilter instance """ filter = baseplot.filter # Initialisation du filtre start_state = filter.new_state() drag_handler = QtDragHandler( filter, btn=QC.Qt.MouseButton.LeftButton, start_state=start_state ) drag_handler.SIG_START_TRACKING.connect(self.start) drag_handler.SIG_MOVE.connect(self.move_point) drag_handler.SIG_STOP_MOVING.connect(self.stop) drag_handler.SIG_STOP_NOT_MOVING.connect(self.stop) undo_key_match = StandardKeyMatch(QG.QKeySequence.StandardKey.Undo) filter.add_event( start_state, undo_key_match, self.undo_curve_modifications, start_state ) insert_keys_match = KeyEventMatch( ((QC.Qt.Key.Key_I, QC.Qt.KeyboardModifier.ControlModifier),) ) filter.add_event( start_state, insert_keys_match, self.insert_point_at_selection, start_state, ) return setup_standard_tool_filter(filter, start_state) def undo_curve_modifications( self, filter: StatefulEventFilter, _event: QC.QEvent | None ) -> None: """Undo all curve modifications Args: filter: StatefulEventFilter instance _event: Event instance """ curve_item = self.__get_active_curve_item(filter) x_arr, y_arr = self.__curve_item_array_backup.get(curve_item, (None, None)) if ( x_arr is not None and y_arr is not None and self.__x is not None and self.__y is not None ): self.__x, self.__y = x_arr, y_arr curve_item.set_data(x_arr, y_arr) filter.plot.replot() self.__get_current_marker(filter).detach() self.__current_location_marker = None self.__x = self.__y = None self.__indexed_changes.get(curve_item, {}).clear() self.__idx = self.__dsampled_idx = 0 def trigger_insert_point_at_selection(self) -> None: """Trigger insert point at selection""" plot: BasePlot | None = self.get_active_plot() if plot is None: return self.insert_point_at_selection(plot.filter, None) def insert_point_at_selection( self, filter: StatefulEventFilter, _event: QC.QEvent | None = None ) -> None: """Insert point at selection Args: filter: StatefulEventFilter instance _event: Event instance """ curve_item = self.__get_active_curve_item(filter) if ( self.__current_location_marker is None or self.__y is None or self.__x is None ): QW.QMessageBox.warning( filter.plot, _("Insert point"), _( "Before inserting a new point, " "please select an existing curve point." ), ) return param = InsertionDataSet(title=_("Insert new value"), icon="insert.png") param.set_max_index(self.__x.size - 1) param.index = self.__idx param.value = self.__y[self.__idx - 1 : self.__idx + 1].mean() if param.edit() or execenv.unattended: insertion_index: int = param.index + param.index_offset # type: ignore new_x: float = self.__x[insertion_index - 1 : insertion_index + 1].mean() self.__x = np.insert(self.__x, insertion_index, new_x) # type: ignore self.__y = np.insert(self.__y, insertion_index, param.value) # type: ignore curve_item.set_data(self.__x, self.__y) new_pos = axes_to_canvas(curve_item, new_x, param.value) # type: ignore self.__current_location_marker.move_local_point_to( 0, QC.QPointF(*new_pos), # type: ignore ) filter.plot.replot() # Needed on non-Windows platforms to update the view def __get_active_curve_item(self, filter: StatefulEventFilter) -> CurveItem: """Get active curve item. Simple method to avoid type checking errors. Args: filter: StatefulEventFilter instance Returns: curve item """ assert isinstance( curve_item := filter.plot.get_last_active_item(ICurveItemType), CurveItem ) return curve_item def __get_current_marker(self, filter: StatefulEventFilter) -> Marker: """Returns a marker instance. If the marker does not exist, it is created and returns it. Args: filter: StatefulEventFilter instance Returns: Marker instance """ return self.__current_location_marker or self.__init_current_marker(filter) def __get_x_bounds(self, x_array: np.ndarray, index: int) -> tuple[float, float]: """Returns the x values of the previous and next points and performs an out of bound check in case the given index is the first or last of the array. Args: x_array: X array index: Index Returns: X bounds """ lower_bound_index = max(index - 1, 0) upper_bound_index = min(x_array.size - 1, index + 1) return x_array[lower_bound_index], x_array[upper_bound_index] @property def downsampled_x(self) -> np.ndarray: """Downsampled x array""" assert self.__x is not None if self.__dsampling > 1: return self.__x[:: self.__dsampling] return self.__x @property def downsampled_y(self) -> np.ndarray: """Downsampled y array""" assert self.__y is not None if self.__dsampling > 1: return self.__y[:: self.__dsampling] return self.__y def start(self, filter: StatefulEventFilter, event: QG.QMouseEvent) -> None: """Start tool action Args: filter: StatefulEventFilter instance event: Qt mouse event """ self.dragging_point = False curve_item = self.__get_active_curve_item(filter) if self.__current_location_marker is not None: self.__current_location_marker.detach() self.__current_location_marker = None if curve_item is not None: curve_x, curve_y = curve_item.get_data() self.__curve_item_array_backup.setdefault(curve_item, (curve_x, curve_y)) if self.__x is not curve_x or self.__x is None or self.__y is not curve_y: self.__x, self.__y = curve_x.copy(), curve_y.copy() self.__dsampling: int = ( 1 if not curve_item.param.use_dsamp else curve_item.param.dsamp_factor ) # type: ignore self.__current_location_marker = self.__get_current_marker(filter) self.__current_location_marker.move_local_point_to(0, event.pos()) x_value = self.__current_location_marker.xValue() self.__dsampled_idx = min( int(np.searchsorted(self.downsampled_x, x_value)), len(self.downsampled_x) - 1, ) self.__idx = self.__dsampled_idx * self.__dsampling # type: ignore self.__lower_upper_x_bounds = self.__get_x_bounds(curve_x, self.__idx) self.__selection_threshold = self.__get_selection_threshold(filter) filter.plot.replot() def move_point(self, filter: StatefulEventFilter, event: QG.QMouseEvent) -> None: """Move point Args: filter: StatefulEventFilter instance event: Qt mouse event """ self.__current_location_marker = self.__get_current_marker(filter) curve_item = self.__get_active_curve_item(filter) drag_cursor_pos: QC.QPoint = event.pos() new_x, new_y = canvas_to_axes(curve_item, drag_cursor_pos) or (None, None) marker_canva_x, marker_canva_y = axes_to_canvas( curve_item, *self.__current_location_marker.get_pos() ) or (0.0, 0.0) cursor_distance_to_marker = float( np.linalg.norm( ( marker_canva_x - drag_cursor_pos.x(), marker_canva_y - drag_cursor_pos.y(), ) ) ) if ( new_x is not None and new_y is not None and cursor_distance_to_marker < self.__selection_threshold ): self.dragging_point = True self.__selection_threshold = 10_000 new_x = min( max(self.__lower_upper_x_bounds[0], new_x), self.__lower_upper_x_bounds[1], ) assert self.__x is not None and self.__y is not None ( self.downsampled_x[self.__dsampled_idx], self.downsampled_y[self.__dsampled_idx], ) = (new_x, new_y) curve_item.set_data(self.__x, self.__y) self.__current_location_marker.constraint_cb = ( self.__current_location_marker.center_handle ) marker_x, marker_y = axes_to_canvas(curve_item, new_x, new_y) or (0, 0) self.__current_location_marker.move_local_point_to( 0, QC.QPointF(marker_x, marker_y) ) filter.plot.replot() def stop(self, filter: StatefulEventFilter, event: QG.QMouseEvent) -> None: """Stop tool action and save new x and y coordinates. Args: filter: StatefulEventFilter instance event: Qt mouse event """ if self.dragging_point: self.move_point(filter, event) self.dragging_point = False curve_item = self.__get_active_curve_item(filter) if not (isinstance(self.__x, np.ndarray) and isinstance(self.__y, np.ndarray)): return self.__x_bkp, self.__y_bkp = self.__curve_item_array_backup[curve_item] if self.__idx < self.__x_bkp.size and ( self.__x[self.__idx] != self.__x_bkp[self.__idx] or self.__y[self.__idx] != self.__y_bkp[self.__idx] ): self.__indexed_changes.setdefault(curve_item, {})[self.__idx] = ( self.__x[self.__idx], self.__y[self.__idx], ) if self.end_callback is not None: self.end_callback(self) def __init_current_marker( self, filter: StatefulEventFilter, ) -> Marker: """Initialize current marker Args: filter: StatefulEventFilter instance Returns: Marker instance """ plot = filter.plot marker = Marker( label_cb=lambda x, y: f"{x=:.4f}, {y=:.4f}", constraint_cb=plot.on_active_curve, ) marker.set_style(self.marker_style_sect, self.marker_style_key) marker.attach(filter.plot) marker.setZ(plot.get_max_z() + 1) marker.setVisible(True) return marker def get_changes(self) -> dict[CurveItem, dict[int, tuple[float, float]]]: """Get changes""" return self.__indexed_changes def get_arrays(self) -> tuple[np.ndarray | None, np.ndarray | None]: """Get arrays""" return self.__x, self.__y def get_initial_arrays(self) -> tuple[np.ndarray | None, np.ndarray | None]: """Get initial arrays""" return self.__x_bkp, self.__y_bkp def reset_arrays(self) -> None: """Reset tool arrays to initial values and reset curve item data""" self.__x = self.__y = None for curve_item, (x_arr, y_arr) in self.__curve_item_array_backup.items(): curve_item.set_data(x_arr, y_arr) self.__indexed_changes.clear() class DownSamplingTool(ToggleTool): """Downsample curve tool Args: manager: PlotManager Instance toolbar_id: Toolbar Id to use . Defaults to DefaultToolbarID. """ def __init__(self, manager: PlotManager) -> None: super().__init__(manager, _("Downsample")) # No icon here, on purpose (because, on Windows, the toggle state is not # clearly visible with the icon in the context menu) def activate_command(self, plot: BasePlot, checked: bool) -> None: """Activate tool Args: plot: BasePlot instance checked: Wether the tool is checked or not """ curve_item: CurveItem | None = plot.get_last_active_item(ICurveItemType) if curve_item is not None: curve_item.param.use_dsamp = checked curve_item.update_params() def update_status(self, plot: BasePlot) -> None: """Update tool status Args: plot: BasePlot instance """ item: CurveItem | None = plot.get_last_active_item(ICurveItemType) self.action.setEnabled(item is not None) if item is not None and self.action is not None: self.action.setChecked(item.param.use_dsamp) def export_curve_data(item: CurveItem) -> None: """Export curve item data to text file Args: item: curve item """ item_data = item.get_data() if len(item_data) > 2: x, y, dx, dy = item_data array_list = [x, y] if dx is not None: array_list.append(dx) if dy is not None: array_list.append(dy) data = np.array(array_list).T else: x, y = item_data data = np.array([x, y]).T plot = item.plot() title = _("Export") if item.param.label: title += f" ({item.param.label})" fname, _f = QW.QFileDialog.getSaveFileName( plot, title, "", _("Text file") + " (*.txt)" ) if fname: try: np.savetxt(str(fname), data, delimiter=",") except RuntimeError as error: QW.QMessageBox.critical( plot, _("Export"), _("Unable to export item data.") + "

" + _("Error message:") + "
" + str(error), ) def edit_curve_data(item: CurveItem) -> None: """Edit curve item data in array editor Args: item: curve item """ item_data = item.get_data() if len(item_data) > 2: x, y, dx, dy = item_data array_list = [x, y] if dx is not None: array_list.append(dx) if dy is not None: array_list.append(dy) data = np.array(array_list).T else: x, y = item_data data = np.array([x, y]).T dialog = ArrayEditor(item.plot()) dialog.setup_and_check(data) if dialog.exec(): if data.shape[1] > 2: if data.shape[1] == 3: x, y, tmp = data.T if dx is not None: dx = tmp else: dy = tmp else: x, y, dx, dy = data.T item.set_data(x, y, dx, dy) else: x, y = data.T item.set_data(x, y) PlotPyStack-PlotPy-2af0906/plotpy/tools/image.py000066400000000000000000001355151525747167300216630ustar00rootroot00000000000000# -*- coding: utf-8 -*- """Image tools""" from __future__ import annotations from typing import TYPE_CHECKING, Any, Callable, Literal from guidata.configtools import get_icon from guidata.dataset import BoolItem, DataSet, FloatItem from guidata.qthelpers import add_actions, exec_dialog from guidata.widgets.arrayeditor import ArrayEditor from qtpy import QtCore as QC from qtpy import QtWidgets as QW from plotpy import io from plotpy.config import _ from plotpy.constants import AXIS_IDS, ID_CONTRAST, X_BOTTOM, Y_LEFT, PlotType from plotpy.coords import axes_to_canvas from plotpy.events import QtDragHandler, setup_standard_tool_filter from plotpy.interfaces import ( IColormapImageItemType, IImageItemType, IVoiImageItemType, ) from plotpy.items import ( AnnotatedRectangle, EllipseShape, MaskedImageItem, MaskedXYImageItem, RectangleShape, TrImageItem, get_items_in_rectangle, ) from plotpy.items.image.base import BaseImageItem from plotpy.mathutils.colormap import ALL_COLORMAPS, build_icon_from_cmap_name, get_cmap from plotpy.tools.base import ( CommandTool, DefaultToolbarID, GuiTool, InteractiveTool, LastItemHolder, PanelTool, ToggleTool, ) from plotpy.tools.misc import OpenFileTool from plotpy.tools.shape import CircleTool, RectangleTool, RectangularShapeTool from plotpy.widgets.colormap.manager import ColorMapManager from plotpy.widgets.colormap.widget import EditableColormap from plotpy.widgets.imagefile import exec_image_save_dialog if TYPE_CHECKING: from qtpy.QtCore import QEvent from qtpy.QtWidgets import QMenu from plotpy.events import StatefulEventFilter from plotpy.interfaces.items import IBasePlotItem from plotpy.items.shape.base import AbstractShape from plotpy.items.shape.polygon import PolygonShape from plotpy.plot import BasePlot from plotpy.plot.manager import PlotManager from plotpy.plot.plotwidget import PlotOptions from plotpy.styles.image import BaseImageParam from plotpy.styles.shape import AnnotationParam def get_stats( item: BaseImageItem, x0: float, y0: float, x1: float, y1: float, ) -> str: """Return formatted string with stats on image rectangular area (output should be compatible with AnnotatedShape.get_info) Args: item: image item x0: X0 y0: Y0 x1: X1 y1: Y1 """ ix0, iy0, ix1, iy1 = item.get_closest_index_rect(x0, y0, x1, y1) data = item.data[iy0:iy1, ix0:ix1] p: BaseImageParam = item.param return "
".join( [ "%sx%s %s" % (item.data.shape[1], item.data.shape[0], str(item.data.dtype)), "", "%s โ‰ค x โ‰ค %s (ฮ”x = %s)" % (p.xformat % x0, p.xformat % x1, p.xformat % (x1 - x0)), "%s โ‰ค y โ‰ค %s (ฮ”y = %s)" % (p.yformat % y0, p.yformat % y1, p.yformat % (y1 - y0)), "%s โ‰ค z โ‰ค %s (ฮ”z = %s)" % ( p.zformat % data.min(), p.zformat % data.max(), p.zformat % (data.max() - data.min()), ), "โ€นzโ€บ = " + p.zformat % data.mean(), "ฯƒ(z) = " + p.zformat % data.std(), ] ) class ImageStatsRectangle(AnnotatedRectangle): """Rectangle used to display image statistics Args: x1: X position of the first rectangle corner. Defaults to 0. y1: Y position of the first rectangle corner. Defaults to 0. x2: X position of the second rectangle corner. Defaults to 0. y2: Y position of the second rectangle corner. Defaults to 0. annotationparam: _description_. Defaults to None. stats_func: function to get statistics. Defaults to None. (see :py:func:`get_stats` for signature and default implementation) replace: True to replace stats (statistics are not added to the base info but replace them). Defaults to False. """ shape: PolygonShape _icon_name = "imagestats.png" def __init__( self, x1: float = 0.0, y1: float = 0.0, x2: float = 0.0, y2: float = 0.0, annotationparam: AnnotationParam | None = None, stats_func: Callable[[BaseImageItem, float, float, float, float]] | None = None, replace: bool = False, ): """_summary_""" super().__init__(x1, y1, x2, y2, annotationparam) self.image_item: BaseImageItem | None = None self.stats_func = stats_func self.replace_stats = replace def set_image_item(self, image_item: BaseImageItem) -> None: """Set image item to be used for statistics Args: image_item: image item to be used for statistics """ self.image_item = image_item self.setTitle(self.image_item.title()) # ----AnnotatedShape API----------------------------------------------------- def get_info(self) -> str | None: """Get informations on current shape Returns: Formatted string with informations on current shape or None. """ if self.image_item is None: return None plot = self.image_item.plot() if plot is None: return None x0, y0, x1, y1 = self.shape.get_rect() p0x, p0y = axes_to_canvas(self, x0, y0) p1x, p1y = axes_to_canvas(self, x1, y1) items = get_items_in_rectangle(plot, QC.QPointF(p0x, p0y), QC.QPointF(p1x, p1y)) if len(items) >= 1: sorted_items = [ it for it in sorted(items, key=lambda obj: obj.z()) if it.isVisible() ] if len(sorted_items) >= 1: self.image_item = sorted_items[-1] else: return _("No available data") else: return _("No available data") x0, y0, x1, y1 = self.get_rect() if self.replace_stats: base_info = "" else: base_info = get_stats(self.image_item, x0, y0, x1, y1) if self.stats_func is not None: if base_info: base_info += "
" base_info += self.stats_func(self.image_item, x0, y0, x1, y1) return base_info class ImageStatsTool(RectangularShapeTool): """Tool to display image statistics in a rectangle Args: manager: PlotManager instance setup_shape_cb: Callback called after shape setup. Defaults to None. handle_final_shape_cb: Callback called when handling final shape. Defaults to None. shape_style: tuple of string to set the shape style. Defaults to None. toolbar_id: toolbar id to use. Defaults to DefaultToolbarID. Defaults to DefaultToolbarID. title: tool title. Defaults to None. icon: tool icon filename. Defaults to None. tip: user tip to be displayed. Defaults to None. stats_func: function to get statistics. Defaults to None. (see :py:func:`get_stats` for signature and default implementation) replace: True to replace stats (statistics are not added to the base info but replace them). Defaults to False. .. note:: The stats_func function should return a formatted string with statistics on the image rectangular area. The function signature should be:: def stats_func(item, x0, y0, x1, y1): return formatted_string where item is the image item, x0, y0, x1, y1 are the rectangle coordinates and formatted_string is the formatted string with statistics on the image rectangular area. Default implementation is the following: .. literalinclude:: ../../../plotpy/tools/image.py :pyobject: get_stats """ SWITCH_TO_DEFAULT_TOOL = True TITLE = _("Image statistics") ICON = "imagestats.png" SHAPE_STYLE_KEY = "shape/image_stats" def __init__( self, manager, setup_shape_cb: Callable[[AbstractShape], None] | None = None, handle_final_shape_cb: Callable[[AbstractShape], None] | None = None, shape_style: tuple[str, str] | None = None, toolbar_id: Any | type[DefaultToolbarID] = DefaultToolbarID, title: str | None = None, icon: str | None = None, tip: str | None = None, stats_func: Callable[[BaseImageItem, float, float, float, float]] | None = None, replace: bool = False, ) -> None: super().__init__( manager, setup_shape_cb, handle_final_shape_cb, shape_style, toolbar_id, title, icon, tip, ) self.last_item_holder = LastItemHolder(IImageItemType) self.stats_func = stats_func self.replace_stats = replace def set_stats_func( self, stats_func: Callable[[BaseImageItem, float, float, float, float]], replace: bool = False, ) -> None: """Set the function to get statistics Args: stats_func: function to get statistics (see :py:func:`get_stats` for signature and default implementation) replace: True to replace stats (statistics are not added to the base info but replace them). Defaults to False. """ self.stats_func = stats_func self.replace_stats = replace def create_shape(self) -> tuple[ImageStatsRectangle, Literal[0], Literal[2]]: """Returns a new ImageStatsRectangle instance and the index of handles to display. Returns: New ImageStatsRectangle instance """ return ( ImageStatsRectangle( 0, 0, 1, 1, stats_func=self.stats_func, replace=self.replace_stats, ), 0, 2, ) def setup_shape(self, shape: ImageStatsRectangle) -> None: """Setup and registers given shape. Parameters: shape: Shape to setup """ super().setup_shape(shape) self.set_shape_style(shape) self.register_shape(shape, final=False) def register_shape(self, shape: ImageStatsRectangle, final=False) -> None: """Register given shape Args: shape: Shape to register final: unused argument. Defaults to False. """ plot = shape.plot() image = self.last_item_holder.get() if plot is not None and image is not None: plot.unselect_all() plot.set_active_item(shape) shape.set_image_item(image) def handle_final_shape(self, shape: ImageStatsRectangle) -> None: """Handle final shape Args: shape: Shape to handled and register """ super().handle_final_shape(shape) self.register_shape(shape, final=True) def update_status(self, plot: BasePlot) -> None: """Update tool status if the plot type is not PlotType.CURVE. Args: plot: Plot instance """ if update_image_tool_status(self, plot): item = self.last_item_holder.update_from_selection(plot) self.action.setEnabled(item is not None) class BaseReverseAxisTool(ToggleTool): """Base class for tools to reverse axes""" TITLE = "" # To be defined in subclasses AXIS_ID = -1 # To be defined in subclasses def __init__(self, manager: PlotManager) -> None: assert self.TITLE, "TITLE must be defined in subclasses" assert self.AXIS_ID in AXIS_IDS, "Invalid AXIS_ID" super().__init__(manager, self.TITLE) def activate_command(self, plot: BasePlot, checked: bool) -> None: """Triggers tool action. Args: plot: Plot instance checked: True if tool is checked, False otherwise """ plot.set_axis_direction(self.AXIS_ID, checked) plot.replot() plot.SIG_AXIS_PARAMETERS_CHANGED.emit(self.AXIS_ID) def update_status(self, plot: BasePlot) -> None: """Update tool status if the plot type is not PlotType.CURVE. Args: plot: Plot instance """ if update_image_tool_status(self, plot): self.action.setChecked(plot.get_axis_direction(self.AXIS_ID)) class ReverseXAxisTool(BaseReverseAxisTool): """Togglable tool to reverse X axis Args: manager: PlotManager Instance """ TITLE = _("Reverse X axis") AXIS_ID = X_BOTTOM class ReverseYAxisTool(BaseReverseAxisTool): """Togglable tool to reverse Y axis Args: manager: PlotManager Instance """ TITLE = _("Reverse Y axis") AXIS_ID = Y_LEFT class ZAxisLogTool(ToggleTool): """Patched tools.ToggleTool""" def __init__(self, manager: PlotManager) -> None: title = _("Base-10 logarithmic Z axis") super().__init__( manager, title=title, toolbar_id=DefaultToolbarID, icon="zlog.svg", ) def activate_command(self, plot: BasePlot, checked: bool) -> None: """Reimplement tools.ToggleTool method""" for item in self.get_supported_items(plot): item.set_zaxis_log_state(not item.get_zaxis_log_state()) plot.replot() self.update_status(plot) def get_supported_items(self, plot: BasePlot) -> list[BaseImageItem]: """Reimplement tools.ToggleTool method""" items = [ item for item in plot.get_items() if isinstance(item, BaseImageItem) and not item.is_empty() and hasattr(item, "get_zaxis_log_state") ] if len(items) > 1: items = [item for item in items if item in plot.get_selected_items()] if items: self.action.setChecked(items[0].get_zaxis_log_state()) return items def update_status(self, plot: BasePlot) -> None: """Reimplement tools.ToggleTool method""" self.action.setEnabled(len(self.get_supported_items(plot)) > 0) class AspectRatioParam(DataSet): """Dataset containing aspect ratio parameters.""" lock = BoolItem(_("Lock aspect ratio"), default=True) current = FloatItem(_("Current value"), default=1.0).set_prop( "display", active=False ) ratio = FloatItem(_("Lock value"), min=1e-3, default=1.0) class AspectRatioTool(CommandTool): """Tool to manage the aspect ratio of a plot Args: manager: PlotManager instance""" def __init__(self, manager: PlotManager) -> None: super().__init__(manager, _("Aspect ratio"), tip=None, toolbar_id=None) self.action.setEnabled(True) def create_action_menu(self, manager: PlotManager) -> QMenu: """Create and return menu for the tool's action""" self.ar_param = AspectRatioParam(_("Aspect ratio")) menu = QW.QMenu() self.lock_action = manager.create_action( _("Lock"), toggled=self.lock_aspect_ratio ) self.ratio1_action = manager.create_action( _("1:1"), triggered=self.set_aspect_ratio_1_1 ) self.set_action = manager.create_action( _("Edit..."), triggered=self.edit_aspect_ratio ) add_actions(menu, (self.lock_action, None, self.ratio1_action, self.set_action)) return menu def set_aspect_ratio_1_1(self) -> None: """Reset current aspect ratio to 1:1""" plot = self.get_active_plot() if plot is not None: plot.set_aspect_ratio(ratio=1) plot.replot() def activate_command(self, plot: BasePlot, checked: bool) -> None: """Triggers tool action. Args: plot: Plot instance checked: True if tool is checked, False otherwise """ def __update_actions(self, checked: bool) -> None: """Update actions state according to given checked state Args: checked: True if actions should be enabled, False otherwise """ self.ar_param.lock = checked self.lock_action.setChecked(checked) plot = self.get_active_plot() if plot is not None: ratio = plot.get_aspect_ratio() self.ratio1_action.setEnabled(checked and ratio != 1.0) def lock_aspect_ratio(self, checked: bool) -> None: """Lock aspect ratio depending on given checked state. Args: checked: True if aspect ratio should be locked, False otherwise """ plot = self.get_active_plot() if plot is not None: plot.set_aspect_ratio(lock=checked) self.__update_actions(checked) plot.replot() def edit_aspect_ratio(self) -> None: """Edit the aspect ratio with a dataset dialog""" plot = self.get_active_plot() if plot is not None: self.ar_param.lock = plot.lock_aspect_ratio self.ar_param.ratio = plot.get_aspect_ratio() self.ar_param.current = plot.get_current_aspect_ratio() if self.ar_param.edit(parent=plot): lock, ratio = self.ar_param.lock, self.ar_param.ratio plot.set_aspect_ratio(ratio=ratio, lock=lock) self.__update_actions(lock) plot.replot() def update_status(self, plot: BasePlot) -> None: """Update tool status if the plot type is not PlotType.CURVE. Args: plot: Plot instance """ if update_image_tool_status(self, plot): ratio = plot.get_aspect_ratio() lock = plot.lock_aspect_ratio self.ar_param.ratio, self.ar_param.lock = ratio, lock self.__update_actions(lock) class ContrastPanelTool(PanelTool): """Tools to adjust contrast using a dataset dialog""" panel_name = _("Contrast adjustment") panel_id = ID_CONTRAST def update_status(self, plot: BasePlot) -> None: """Update tool status. Args: plot: Plot Instance """ super().update_status(plot) update_image_tool_status(self, plot) item = plot.get_last_active_item(IVoiImageItemType) panel = self.manager.get_panel(self.panel_id) for action in panel.toolbar.actions(): if isinstance(action, QW.QAction): action.setEnabled(item is not None) def get_selected_images(plot: BasePlot, item_type: Any) -> list[BaseImageItem]: """Returns the currently selected images in the given plot. Args: plot: Plot instance item_type: Item type to filter (e.g. IColormapImageItemType) Returns: List of currently selected images in the given plot """ items = plot.get_selected_items(item_type=item_type) if not items: active_image = plot.get_last_active_item(item_type) if active_image: items = [active_image] return items class ColormapTool(CommandTool): """Tool used to select and manage colormaps (inculding visualization, edition and saving). Args: manager: PlotManager Instance toolbar_id: Toolbar Id to use. Defaults to DefaultToolbarID. """ def __init__(self, manager: PlotManager, toolbar_id=DefaultToolbarID) -> None: # noqa: F821 super().__init__( manager, _("Colormap"), tip=_("Select colormap for active image"), toolbar_id=toolbar_id, ) self._active_colormap: EditableColormap = ALL_COLORMAPS["jet"] self.default_icon = build_icon_from_cmap_name(self._active_colormap.name) if self.action is not None: self.action.setEnabled(False) self.action.setIconText("") self.action.setIcon(self.default_icon) def activate_command(self, plot: BasePlot, checked: bool) -> None: """Triggers tool action. Args: plot: Plot instance checked: True if tool is checked, False otherwise """ if ( plot is None or not isinstance(self.action, QC.QObject) or not isinstance(self.action.text(), str) ): return manager = ColorMapManager( plot.parentWidget(), active_colormap=self._active_colormap.name, invert=self._active_colormap.invert, ) manager.SIG_APPLY_COLORMAP.connect(self.update_plot) if exec_dialog(manager) and (cmap := manager.get_colormap()) is not None: cmap.invert = manager.get_invert() self.activate_cmap(cmap) def activate_cmap(self, cmap: str | EditableColormap) -> None: """Activate the given colormap. Supports mutliple input types. Args: cmap: Cmap to apply for currently selected images. """ assert isinstance(cmap, (str, EditableColormap)) if isinstance(cmap, str): self._active_colormap = get_cmap(cmap) else: self._active_colormap = cmap plot: BasePlot = self.get_active_plot() if self._active_colormap is not None and plot is not None: self.update_plot(self._active_colormap.name) self.update_status(plot) def update_plot(self, cmap_name: str, invert: bool | None = None) -> None: """Update the plot with the given colormap. Args: cmap_name: Colormap name invert: Invert colormap state. If None, uses the active colormap's invert state. Defaults to None. """ if invert is not None: self._active_colormap.invert = invert plot: BasePlot = self.get_active_plot() items = get_selected_images(plot, IColormapImageItemType) for item in items: item.set_color_map(cmap_name, self._active_colormap.invert) plot.SIG_ITEM_PARAMETERS_CHANGED.emit(item) plot.invalidate() def update_status(self, plot: BasePlot) -> None: """Update tool status if the plot type is not PlotType.CURVE. Args: plot: Plot Instance """ if update_image_tool_status(self, plot): item: BaseImageItem | None = plot.get_last_active_item( IColormapImageItemType ) icon = self.default_icon cmap_name = "jet" if item: self.action.setEnabled(True) cmap = item.get_color_map() if cmap is not None: icon = build_icon_from_cmap_name(cmap.name) self._active_colormap = get_cmap(cmap.name) self._active_colormap.invert = cmap.invert cmap_name = cmap.name else: self.action.setEnabled(False) self._active_colormap = ALL_COLORMAPS["jet"] self.action.setText(_("Colormap: %s") % cmap_name) self.action.setIcon(icon) class ReverseColormapTool(ToggleTool): """Togglable tool to reverse colormap Args: manager: PlotManager Instance """ def __init__(self, manager: PlotManager) -> None: super().__init__(manager, _("Invert colormap")) self._active_colormap: EditableColormap = ALL_COLORMAPS["jet"] def activate_command(self, plot: BasePlot, checked: bool) -> None: """Triggers tool action. Args: plot: Plot instance checked: True if tool is checked, False otherwise """ plot: BasePlot = self.get_active_plot() if self._active_colormap is not None and plot is not None: items = get_selected_images(plot, IColormapImageItemType) for item in items: cmap = item.get_color_map() item.set_color_map(cmap.name, invert=checked) plot.SIG_ITEM_PARAMETERS_CHANGED.emit(item) plot.invalidate() self.update_status(plot) def update_status(self, plot: BasePlot) -> None: """Update tool status if the plot type is not PlotType.CURVE. Args: plot: Plot instance """ if update_image_tool_status(self, plot): item: BaseImageItem | None = plot.get_last_active_item( IColormapImageItemType ) state = False if item: self.action.setEnabled(True) cmap = item.get_color_map() if cmap is not None: self._active_colormap = get_cmap(cmap.name) state = cmap.invert else: self.action.setEnabled(False) self._active_colormap = ALL_COLORMAPS["jet"] self.action.setChecked(state) class LockLUTRangeTool(ToggleTool): """Togglable tool to keep LUT range when updating image data Args: manager: PlotManager Instance """ def __init__(self, manager: PlotManager) -> None: super().__init__( manager, _("Lock LUT range (update)"), tip=_( "If enabled, the LUT range is not updated when the image data changes." "
This allows to keep the same color scale for different successive " "images.

" "Note: It has no effect when a new image is added to the plot." ), ) def activate_command(self, plot: BasePlot, checked: bool) -> None: """Triggers tool action. Args: plot: Plot instance checked: True if tool is checked, False otherwise """ plot: BasePlot = self.get_active_plot() if plot is not None: items = get_selected_images(plot, IColormapImageItemType) for item in items: param: BaseImageParam = item.param param.keep_lut_range = checked self.update_status(plot) def update_status(self, plot: BasePlot) -> None: """Update tool status if the plot type is not PlotType.CURVE. Args: plot: Plot instance """ if update_image_tool_status(self, plot): item: BaseImageItem | None = plot.get_last_active_item( IColormapImageItemType ) self.action.setEnabled(item is not None) state = False if item is not None: param: BaseImageParam = item.param state = param.keep_lut_range self.action.setChecked(state) class ImageMaskTool(CommandTool): """Tool to manage image masking Args: manager: Plot manager instance toolbar_id: Toolbar id value """ #: Signal emitted by ImageMaskTool when mask was applied SIG_APPLIED_MASK_TOOL = QC.Signal() def __init__(self, manager: PlotManager, toolbar_id=DefaultToolbarID) -> None: self._mask_shapes = {} self._mask_already_restored = {} super().__init__( manager, _("Mask"), icon="mask_tool.png", tip=_("Manage image masking areas"), toolbar_id=toolbar_id, ) self.masked_image = None # associated masked image item def create_action_menu(self, manager: PlotManager) -> QMenu: """Create and return the tool's action menu for a given manager. Args: manager: PlotManager instance """ rect_tool = manager.add_tool( RectangleTool, toolbar_id=None, handle_final_shape_cb=lambda shape: self.handle_shape(shape, inside=True), title=_("Mask rectangular area (inside)"), icon="mask_rectangle.png", ) rect_out_tool = manager.add_tool( RectangleTool, toolbar_id=None, handle_final_shape_cb=lambda shape: self.handle_shape(shape, inside=False), title=_("Mask rectangular area (outside)"), icon="mask_rectangle_outside.png", ) ellipse_tool = manager.add_tool( CircleTool, toolbar_id=None, handle_final_shape_cb=lambda shape: self.handle_shape(shape, inside=True), title=_("Mask circular area (inside)"), icon="mask_circle.png", ) ellipse_out_tool = manager.add_tool( CircleTool, toolbar_id=None, handle_final_shape_cb=lambda shape: self.handle_shape(shape, inside=False), title=_("Mask circular area (outside)"), icon="mask_circle_outside.png", ) menu = QW.QMenu() self.showmask_action = manager.create_action( _("Show image mask"), toggled=self.show_mask ) showshapes_action = manager.create_action( _("Show masking shapes"), toggled=self.show_shapes ) showshapes_action.setChecked(True) applymask_a = manager.create_action( _("Apply mask"), icon=get_icon("apply.png"), triggered=self.apply_mask ) clearmask_a = manager.create_action( _("Clear mask"), icon=get_icon("delete.png"), triggered=self.clear_mask ) removeshapes_a = manager.create_action( _("Remove all masking shapes"), icon=get_icon("delete.png"), triggered=self.remove_all_shapes, ) add_actions( menu, ( self.showmask_action, None, showshapes_action, rect_tool.action, ellipse_tool.action, rect_out_tool.action, ellipse_out_tool.action, applymask_a, None, clearmask_a, removeshapes_a, ), ) self.action.setMenu(menu) return menu def update_status(self, plot: BasePlot) -> None: """Enables tool if masked_image is set. Args: plot: Plot instance """ self.action.setEnabled(self.masked_image is not None) def register_plot(self, baseplot: BasePlot) -> None: """Register plot in the tool instance and connect signals. Args: baseplot: Plot instance """ super().register_plot(baseplot) self._mask_shapes.setdefault(baseplot, []) baseplot.SIG_ITEMS_CHANGED.connect(self.items_changed) baseplot.SIG_ITEM_SELECTION_CHANGED.connect(self.item_selection_changed) def show_mask(self, state: bool): """Shows the image mask depending on given state and if masked_image is set Args: state: True to show mask, False otherwise """ if self.masked_image is not None: self.masked_image.set_mask_visible(state) def apply_mask(self): """Applies the mask to the image""" mask = self.masked_image.get_mask() plot = self.get_active_plot() for shape, inside in self._mask_shapes[plot]: if isinstance(shape, RectangleShape): self.masked_image.align_rectangular_shape(shape) x0, y0, x1, y1 = shape.get_rect() self.masked_image.mask_rectangular_area(x0, y0, x1, y1, inside=inside) else: x0, y0, x1, y1 = shape.get_rect() self.masked_image.mask_circular_area(x0, y0, x1, y1, inside=inside) self.masked_image.set_mask(mask) plot.replot() self.SIG_APPLIED_MASK_TOOL.emit() def remove_all_shapes(self) -> None: """Prompts the user to removes all shapes from the plot""" message = _("Do you really want to remove all masking shapes?") plot = self.get_active_plot() answer = QW.QMessageBox.warning( plot, _("Remove all masking shapes"), message, QW.QMessageBox.Yes | QW.QMessageBox.No, ) if answer == QW.QMessageBox.Yes: self.remove_shapes() def remove_shapes(self) -> None: """Removes all shapes from the plot""" plot = self.get_active_plot() plot.del_items( [shape for shape, _inside in self._mask_shapes[plot]] ) # remove shapes self._mask_shapes[plot] = [] plot.replot() def show_shapes(self, state: bool) -> None: """Shows the masking shapes depending on given state Args: state: True to show shapes, False otherwise """ plot = self.get_active_plot() if plot is not None: for shape, _inside in self._mask_shapes[plot]: shape.setVisible(state) plot.replot() def handle_shape(self, shape: AbstractShape, inside: bool) -> None: """Handles given shape and adds it to the plot and sets it to be the current item""" shape.set_style("plot", "shape/mask") shape.set_private(True) plot = self.get_active_plot() plot.set_active_item(shape) self._mask_shapes[plot] += [(shape, inside)] def find_masked_image( self, plot: BasePlot ) -> MaskedImageItem | MaskedXYImageItem | None: """Finds the masked image item in the given plot Args: plot: Plot instance Returns: MaskedImageItem or MaskedXYImageItem instance if found, None otherwise """ maskedtypes = (MaskedImageItem, MaskedXYImageItem) item = plot.get_active_item() if isinstance(item, maskedtypes): return item items = [item for item in plot.get_items() if isinstance(item, maskedtypes)] if items: return items[-1] return None def create_shapes_from_masked_areas(self) -> None: """Creates shapes from the masked areas of the masked image (rectangular or ellipse). """ plot = self.get_active_plot() self._mask_shapes[plot] = [] for area in self.masked_image.get_masked_areas(): if area is not None and area.geometry == "rectangular": shape = RectangleShape(area.x0, area.y0, area.x1, area.y1) self.masked_image.align_rectangular_shape(shape) else: shape = EllipseShape( area.x0, 0.5 * (area.y0 + area.y1), area.x1, 0.5 * (area.y0 + area.y1), ) shape.set_style("plot", "shape/mask") shape.set_private(True) self._mask_shapes[plot] += [(shape, area.inside)] plot.blockSignals(True) plot.add_item(shape) plot.blockSignals(False) def set_masked_image(self, plot: BasePlot) -> None: """Sets the masked image item from the masked image found in the given plot. Args: plot: Plot instance """ self.masked_image = item = self.find_masked_image(plot) if self.masked_image is not None and not self._mask_already_restored: self.create_shapes_from_masked_areas() self._mask_already_restored = True enable = False if item is None else item.is_mask_visible() self.showmask_action.setChecked(enable) def items_changed(self, plot: BasePlot) -> None: """Updates the masked image and the tool status for a given plot. Args: plot: Plot instance """ self.set_masked_image(plot) self._mask_shapes[plot] = [ (shape, inside) for shape, inside in self._mask_shapes[plot] if shape.plot() is plot ] self.update_status(plot) def item_selection_changed(self, plot: BasePlot) -> None: """Updates the masked image and the tool status for a given plot. Args: plot: Plot instance """ self.set_masked_image(plot) self.update_status(plot) def clear_mask(self) -> None: """Prompts the user to clear the image mask (removes all masks)""" message = _("Do you really want to clear the mask?") plot = self.get_active_plot() answer = QW.QMessageBox.warning( plot, _("Clear mask"), message, QW.QMessageBox.Yes | QW.QMessageBox.No ) if answer == QW.QMessageBox.Yes: self.masked_image.unmask_all() plot.replot() def activate_command(self, plot: BasePlot, checked=True): """Triggers tool action. Args: plot: Plot instance checked: True if tool is checked, False otherwise """ pass class LockTrImageTool(ToggleTool): """Lock (rotation, translation, resize) Args: manager: PlotManager instance toolbar_id: Toolbar id value. Not used.""" def __init__(self, manager: PlotManager, toolbar_id=None) -> None: super().__init__( manager, title=_("Lock"), icon=get_icon("lock.png"), toolbar_id=None ) def activate_command(self, plot: BasePlot, checked: bool) -> None: """Trigger tool action. Args: plot: Plot instance checked: True if tool is checked, False otherwise """ itemlist = self.get_supported_items(plot) if self.action is not None and self.action.isEnabled(): for item in itemlist: item.set_locked(checked) if item.is_locked(): item.set_icon_name("trimage_lock.png") else: item.set_icon_name("image.png") plot.SIG_ITEM_PARAMETERS_CHANGED.emit(item) plot.SIG_ITEMS_CHANGED.emit(plot) def get_supported_items(self, plot: BasePlot) -> list[IBasePlotItem | TrImageItem]: """Returns a list of supported items from the given plot selected items. Args: plot: Plot instance Returns: List of supported items from the given plot selected items """ return [ _it for _it in plot.get_selected_items() if isinstance(_it, TrImageItem) ] def update_status(self, plot: BasePlot) -> None: """Updates the tool status depending on the selected items in the given plot. Args: plot: Plot instance """ itemlist = self.get_supported_items(plot) if len(itemlist) > 0: # at least one TrImage in selection self.action.setEnabled(True) locklist = [_it.is_locked() for _it in itemlist] if locklist.count(False) > 0: # at least one image is not locked self.action.setChecked(False) self.title = _("Lock") self.action.setText(self.title) self.icon = get_icon("trimage_lock.png") self.action.setIcon(self.icon) else: # all images are locked self.action.setChecked(True) self.title = _("Unlock") self.action.setText(self.title) self.icon = get_icon("trimage_unlock.png") self.action.setIcon(self.icon) else: self.action.setEnabled(False) def setup_context_menu(self, menu: QW.QMenu, plot: BasePlot) -> None: """Command Tool re-implement""" if self.action is not None and self.action.isEnabled(): menu.addAction(self.action) class OpenImageTool(OpenFileTool): """Tool to open an image file Args: manager: PlotManager instance toolbar_id: Toolbar id value. Defaults to DefaultToolbarID. """ def __init__(self, manager: PlotManager, toolbar_id=DefaultToolbarID) -> None: super().__init__( manager, title=_("Open image"), formats=io.iohandler.get_filters("load"), toolbar_id=toolbar_id, ) class RotationCenterTool(InteractiveTool): """Tool to set the rotation center of an image Args: manager: PlotManager instance toolbar_id: toolbar id to use. Defaults to DefaultToolbarID.. Defaults to DefaultToolbarID. title: tool title. Defaults to None. icon: tool icon filename. Defaults to None. tip: user tip to be displayed. Defaults to None. switch_to_default_tool: Flag to switch to default tool. Defaults to True. rotation_point_move_with_shape: Flag to move rotation point with shape when it is moved. Defaults to True. rotation_center: True if image already has a rotation center, False otherwise. on_all_items: True if rotation center should be set on all items or False if only on selected ones. Defaults to True. """ TITLE = _("Rotation Center") ICON = "rotationcenter.jpg" CURSOR = QC.Qt.CursorShape.CrossCursor SIG_TOOL_ENABLED = QC.Signal(bool) def __init__( self, manager: BasePlot, toolbar_id: Any | type[DefaultToolbarID] = DefaultToolbarID, title: str | None = None, icon: str | None = None, tip: str | None = None, switch_to_default_tool=True, rotation_point_move_with_shape=True, rotation_center=True, on_all_items=True, ) -> None: super().__init__( manager, toolbar_id, title=title, icon=icon, tip=tip, switch_to_default_tool=switch_to_default_tool, ) self.rotation_point_move_with_shape = rotation_point_move_with_shape self.rotation_center = rotation_center self.on_all_items = on_all_items self.action.triggered.connect(self.action_triggered) self.filter: StatefulEventFilter | None = None self.pos: QC.QPointF | None = None def setup_filter(self, baseplot: BasePlot) -> int: """Setup event filter and connect signals. Args: baseplot: Plot instance Returns: plot's filter new start state """ self.filter = baseplot.filter # Initialisation du filtre start_state = self.filter.new_state() # Bouton gauche : if not self.rotation_center: handler = QtDragHandler( self.filter, QC.Qt.MouseButton.LeftButton, start_state=start_state ) handler.SIG_START_TRACKING.connect(self.mouse_press) # else: # self.mouse_press(filter, QEvent(QEvent.MouseButtonPress)) return setup_standard_tool_filter(self.filter, start_state) def update_status(self, plot: BasePlot) -> None: """Updates the tool status depending on the selected items in the given plot. Args: plot: Plot instance """ enabled = False self.action.setEnabled(enabled) selected_items = plot.get_selected_items() for item in selected_items: if isinstance(item, TrImageItem): enabled = True break self.action.setEnabled(enabled) self.SIG_TOOL_ENABLED.emit(enabled) def action_triggered(self, checked: bool) -> None: """Action triggered slot Args: checked: unused argument """ if self.rotation_center and self.filter is not None: self.mouse_press(self.filter, QC.QEvent(QC.QEvent.Type.MouseButtonPress)) def mouse_press(self, filter: StatefulEventFilter, event: QEvent) -> None: """We create a new shape if it's the first point otherwise we add a new point. Args: filter: StatefulEventFilter instance event: QEvent instance """ plot = filter.plot selected_items = plot.get_selected_items() all_items = plot.get_items() if self.rotation_center: if not self.on_all_items: for item in selected_items: if isinstance(item, TrImageItem): item.set_rotation_point_to_center() else: for item in all_items: if isinstance(item, TrImageItem): item.set_rotation_point_to_center() else: # graphical user_defined rotation point pos = event.pos() plot = filter.plot self.pos = QC.QPointF( plot.invTransform(2, pos.x()), plot.invTransform(0, pos.y()) ) if not self.on_all_items: for item in selected_items: if isinstance(item, TrImageItem): item.set_rotation_point( self.pos.x(), self.pos.y(), self.rotation_point_move_with_shape, ) else: for item in all_items: if isinstance(item, TrImageItem): item.set_rotation_point( self.pos.x(), self.pos.y(), self.rotation_point_move_with_shape, ) filter.plot.replot() self.validate(filter, event) # switch to default tool class RotateCropTool(CommandTool): """Rotate & Crop tool See :py:class:`.rotatecrop.RotateCropDialog` dialog. Args: manager: PlotManager instance toolbar_id: toolbar id to use. Defaults to DefaultToolbarID. options: PlotOptions for the tool. Defaults to None. """ def __init__( self, manager: PlotManager, toolbar_id=DefaultToolbarID, options: PlotOptions | dict[str, Any] | None = None, ) -> None: super().__init__( manager, title=_("Rotate and crop"), icon=get_icon("rotate.png"), toolbar_id=toolbar_id, ) self.options = options def activate_command(self, plot: BasePlot, checked: bool) -> None: """Activate tool Args: plot: Plot instance checked: True if tool is checked, False otherwise """ # This import can't be done at the module level because it creates a # circular import: we create a dialog that itself instantiates a # PlotWidget, so it needs to import plotpy.widgets.plotwidget at some # point. # pylint: disable=import-outside-toplevel from plotpy.widgets.rotatecrop import RotateCropDialog for item in plot.get_selected_items(): if isinstance(item, TrImageItem): z = int(item.z()) plot.del_item(item) dlg = RotateCropDialog(plot.parentWidget(), options=self.options) dlg.set_item(item) ok = dlg.exec() plot.add_item(item, z=z) if not ok: break def update_status(self, plot: BasePlot) -> None: """Updates the tool status depending on the selected items in the given plot. Args: plot: Plot instance """ status = any( isinstance(item, TrImageItem) for item in plot.get_selected_items() ) self.action.setEnabled(status) def update_image_tool_status(tool: GuiTool, plot: BasePlot) -> bool: """Update tool status if the plot type is not PlotType.CURVE. Args: tool: Tool instance plot: Plot instance """ enabled = plot.options.type != PlotType.CURVE tool.action.setEnabled(enabled) return enabled def export_image_data(item) -> None: """Export image item data to file""" exec_image_save_dialog(item.plot(), item.data) def edit_image_data(item) -> None: """Edit image item data in array editor""" dialog = ArrayEditor(item.plot()) dialog.setup_and_check(item.data) dialog.exec() PlotPyStack-PlotPy-2af0906/plotpy/tools/item.py000066400000000000000000000242241525747167300215310ustar00rootroot00000000000000# -*- coding: utf-8 -*-# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Item tools""" from __future__ import annotations from typing import Callable from guidata.qthelpers import get_std_icon from qtpy import QtWidgets as QW from plotpy.config import _ from plotpy.constants import ID_ITEMLIST from plotpy.interfaces import ICurveItemType from plotpy.items import ( AnnotatedCircle, AnnotatedEllipse, AnnotatedObliqueRectangle, AnnotatedPolygon, AnnotatedRectangle, EllipseShape, ObliqueRectangleShape, RawImageItem, RectangleShape, ) from plotpy.plot import BasePlot from plotpy.tools.base import CommandTool, DefaultToolbarID, PanelTool from plotpy.tools.curve import edit_curve_data, export_curve_data from plotpy.tools.image import edit_image_data, export_image_data from plotpy.tools.misc import OpenFileTool class ItemManipulationBaseTool(CommandTool): """Base class for item manipulation tools.""" TITLE: str | None = None ICON: str | None = None TIP: str | None = None def __init__( self, manager, toolbar_id: str | type[DefaultToolbarID] | None, curve_func: Callable, image_func: Callable, ): """ Initialize the ItemManipulationBaseTool. Args: manager: The plot manager. toolbar_id: ID of the toolbar to which this tool belongs. curve_func: Callback function for curve items. image_func: Callback function for image items. """ super().__init__( manager, self.TITLE, icon=self.ICON, tip=self.TIP, toolbar_id=toolbar_id ) self.curve_func = curve_func self.image_func = image_func def get_supported_items(self, plot: BasePlot) -> list: """ Get supported items from the plot. Args: plot: Plot instance Returns: List of supported plot items """ all_items = [ item for item in plot.get_items(item_type=ICurveItemType) if not item.is_empty() ] all_items += [ item for item in plot.get_items() if isinstance(item, RawImageItem) and not item.is_empty() ] if len(all_items) == 1: return all_items else: return [item for item in all_items if item in plot.get_selected_items()] def update_status(self, plot: BasePlot) -> None: """ Update the status of the tool. Args: plot: Plot instance """ self.action.setEnabled(len(self.get_supported_items(plot)) > 0) def activate_command(self, plot: BasePlot, checked: bool) -> None: """ Activate tool command. Args: plot: Plot instance checked: Whether the tool is checked """ for item in self.get_supported_items(plot): if ICurveItemType in item.types(): self.curve_func(item) else: self.image_func(item) plot.replot() class EditItemDataTool(ItemManipulationBaseTool): """Tool for editing item data.""" TITLE: str = _("Edit data...") ICON: str = "arredit.png" def __init__(self, manager, toolbar_id: str | type[DefaultToolbarID] | None = None): """ Initialize the EditItemDataTool. Args: manager: The plot manager. toolbar_id: ID of the toolbar to which this tool belongs. """ super().__init__( manager, toolbar_id, curve_func=edit_curve_data, image_func=edit_image_data ) def get_supported_items(self, plot: BasePlot) -> list: """ Get supported items from the plot. Args: plot: Plot instance Returns: List of supported plot items """ items = super().get_supported_items(plot) # Read-only items are not editable, obviously return [item for item in items if not item.is_readonly()] class ExportItemDataTool(ItemManipulationBaseTool): """Tool for exporting item data.""" TITLE: str = _("Export data...") ICON: str = "export.png" def __init__(self, manager, toolbar_id: str | type[DefaultToolbarID] | None = None): """ Initialize the ExportItemDataTool. Args: manager: The plot manager. toolbar_id: ID of the toolbar to which this tool belongs. """ super().__init__( manager, toolbar_id, curve_func=export_curve_data, image_func=export_image_data, ) class ItemCenterTool(CommandTool): """Tool for centering items.""" def __init__(self, manager, toolbar_id: str | type[DefaultToolbarID] | None = None): """ Initialize the ItemCenterTool. Args: manager: The plot manager. toolbar_id: ID of the toolbar to which this tool belongs. """ super().__init__( manager, _("Center items"), "center.png", toolbar_id=toolbar_id ) def get_supported_items(self, plot: BasePlot) -> list: """ Get supported items from the plot. Args: plot: Plot instance Returns: List of supported plot items """ item_types = ( RectangleShape, EllipseShape, ObliqueRectangleShape, AnnotatedRectangle, AnnotatedEllipse, AnnotatedObliqueRectangle, AnnotatedCircle, AnnotatedPolygon, ) # Read-only items are not editable, obviously return [ item for item in plot.get_selected_items(z_sorted=True) if isinstance(item, item_types) and not item.is_readonly() ] def update_status(self, plot: BasePlot) -> None: """ Update the status of the tool. Args: plot: Plot instance """ self.action.setEnabled(len(self.get_supported_items(plot)) > 1) def activate_command(self, plot: BasePlot, checked: bool) -> None: """ Activate tool command. Args: plot: Plot instance checked: Whether the tool is checked """ items = self.get_supported_items(plot) xc0, yc0 = items.pop(-1).get_center() for item in items: xc, yc = item.get_center() item.move_with_selection(xc0 - xc, yc0 - yc) plot.replot() class DeleteItemTool(CommandTool): """ """ def __init__(self, manager, toolbar_id: str | type[DefaultToolbarID] | None = None): """ Initialize the DeleteItemTool. Args: manager: The plot manager. toolbar_id: ID of the toolbar to which this tool belongs. """ super().__init__(manager, _("Remove"), "trash.png", toolbar_id=toolbar_id) def get_supported_items(self, plot: BasePlot) -> list: """ Get supported items from the plot. Args: plot: Plot instance Returns: List of supported plot items """ return [item for item in plot.get_selected_items() if not item.is_readonly()] def update_status(self, plot: BasePlot) -> None: """ Update the status of the tool. Args: plot: Plot instance """ self.action.setEnabled(len(self.get_supported_items(plot)) > 0) def activate_command(self, plot: BasePlot, checked: bool) -> None: """ Activate tool command. Args: plot: Plot instance checked: Whether the tool is checked """ items = self.get_supported_items(plot) if len(items) == 1: message = _("Do you really want to remove this item?") else: message = _("Do you really want to remove selected items?") answer = QW.QMessageBox.warning( plot, _("Remove"), message, QW.QMessageBox.Yes | QW.QMessageBox.No ) if answer == QW.QMessageBox.Yes: plot.del_items(items) plot.replot() class SaveItemsTool(CommandTool): """ """ def __init__( self, manager, toolbar_id: str | type[DefaultToolbarID] = DefaultToolbarID ): """ Initialize the SaveItemsTool. Args: manager: The plot manager. toolbar_id: ID of the toolbar to which this tool belongs. """ super().__init__( manager, _("Save items"), get_std_icon("DialogSaveButton", 16), toolbar_id=toolbar_id, ) def activate_command(self, plot: BasePlot, checked: bool) -> None: """ Activate tool command. Args: plot: Plot instance checked: Whether the tool is checked """ fname, _f = QW.QFileDialog.getSaveFileName( plot, _("Save items as"), _("untitled"), "{} (*.gui)".format(_("plotpy items")), ) if not fname: return with open(fname, "wb") as itemfile: plot.save_items(itemfile, selected=True) class LoadItemsTool(OpenFileTool): """ """ def __init__( self, manager, toolbar_id: str | type[DefaultToolbarID] = DefaultToolbarID ): """ Initialize the LoadItemsTool. Args: manager: The plot manager. toolbar_id: ID of the toolbar to which this tool belongs. """ super().__init__( manager, title=_("Load items"), formats="*.gui", toolbar_id=toolbar_id ) def activate_command(self, plot: BasePlot, checked: bool) -> None: """ Activate tool command. Args: plot: Plot instance checked: Whether the tool is checked """ filename = self.get_filename(plot) if not filename: return with open(filename, "rb") as itemfile: plot.restore_items(itemfile) plot.replot() class ItemListPanelTool(PanelTool): """Tool for managing the item list panel.""" panel_name: str = _("Item list") panel_id: str = ID_ITEMLIST PlotPyStack-PlotPy-2af0906/plotpy/tools/label.py000066400000000000000000000056171525747167300216570ustar00rootroot00000000000000# -*- coding: utf-8 -*- from guidata.dataset import DataSet, TextItem from qtpy import QtCore as QC from plotpy.config import _ from plotpy.events import ClickHandler, setup_standard_tool_filter from plotpy.tools.base import DefaultToolbarID, InteractiveTool class LabelTool(InteractiveTool): """ """ TITLE = _("Label") ICON = "label.png" LABEL_STYLE_SECT = "plot" LABEL_STYLE_KEY = "label" SWITCH_TO_DEFAULT_TOOL = True def __init__( self, manager, handle_label_cb=None, label_style=None, toolbar_id=DefaultToolbarID, title=None, icon=None, tip=None, switch_to_default_tool=None, ): self.handle_label_cb = handle_label_cb super().__init__( manager, toolbar_id, title=title, icon=icon, tip=tip, switch_to_default_tool=switch_to_default_tool, ) if label_style is not None: self.label_style_sect = label_style[0] self.label_style_key = label_style[1] else: self.label_style_sect = self.LABEL_STYLE_SECT self.label_style_key = self.LABEL_STYLE_KEY def set_label_style(self, label): """ :param label: """ label.set_style(self.label_style_sect, self.label_style_key) def setup_filter(self, baseplot): """ :param baseplot: :return: """ filter = baseplot.filter start_state = filter.new_state() handler = ClickHandler( filter, QC.Qt.MouseButton.LeftButton, start_state=start_state ) handler.SIG_CLICK_EVENT.connect(self.add_label_to_plot) return setup_standard_tool_filter(filter, start_state) def add_label_to_plot(self, filter, event): """ :param filter: :param event: """ plot = filter.plot # The following import is here to avoid circular imports # pylint: disable=import-outside-toplevel from plotpy.builder import make class TextParam(DataSet): text = TextItem("", _("Label")) textparam = TextParam(_("Label text"), icon=self.ICON) if textparam.edit(plot): text = textparam.text.replace("\n", "
") label = make.label(text, (0.0, 0.0), (10, 10), "TL") title = label.labelparam.label self.set_label_style(label) label.setTitle(self.TITLE) x = plot.invTransform(label.xAxis(), event.pos().x()) y = plot.invTransform(label.yAxis(), event.pos().y()) label.set_pos(x, y) label.setTitle(title) label.labelparam.update_param(label) plot.add_item(label) if self.handle_label_cb is not None: self.handle_label_cb(label) plot.replot() self.SIG_TOOL_JOB_FINISHED.emit() PlotPyStack-PlotPy-2af0906/plotpy/tools/misc.py000066400000000000000000000305011525747167300215210ustar00rootroot00000000000000# -*- coding: utf-8 -*- import os.path as osp import sys import numpy as np from guidata.configtools import get_icon from guidata.dataset import BeginGroup, BoolItem, ChoiceItem, DataSet, EndGroup from guidata.qthelpers import get_std_icon from qtpy import QtCore as QC from qtpy import QtWidgets as QW from qtpy.QtPrintSupport import QPrintDialog, QPrinter from plotpy import io from plotpy.config import _ from plotpy.interfaces import IImageItemType from plotpy.items import ( compute_image_items_original_size, get_image_from_plot, get_items_in_rectangle, get_plot_qrect, ) from plotpy.tools.base import CommandTool, DefaultToolbarID, RectangularActionTool from plotpy.widgets import about from plotpy.widgets.resizedialog import ResizeDialog class SaveAsTool(CommandTool): """ """ def __init__(self, manager, toolbar_id=DefaultToolbarID): super().__init__( manager, _("Save as..."), get_std_icon("DialogSaveButton", 16), toolbar_id=toolbar_id, ) def activate_command(self, plot, checked): """Activate tool""" # FIXME: Qt's PDF printer is unable to print plots including images # --> until this bug is fixed internally, disabling PDF output format # when plot has image items. formats = "%s (*.png)" % _("PNG image") for item in plot.get_items(): if IImageItemType in item.types(): break else: formats += "\n%s (*.pdf)" % _("PDF document") fname, _f = QW.QFileDialog.getSaveFileName( plot, _("Save as"), _("untitled"), formats ) if fname: plot.save_widget(fname) class CopyToClipboardTool(CommandTool): """ """ def __init__(self, manager, toolbar_id=DefaultToolbarID): super().__init__( manager, _("Copy to clipboard"), get_icon("copytoclipboard.png"), toolbar_id=toolbar_id, ) def activate_command(self, plot, checked): """Activate tool""" plot.copy_to_clipboard() def save_snapshot(plot, p0, p1, new_size=None): """ Save rectangular plot area p0, p1: resp. top left and bottom right points (`QPointF` objects) new_size: destination image size (tuple: (width, height)) """ items = get_items_in_rectangle(plot, p0, p1) if not items: QW.QMessageBox.critical( plot, _("Rectangle snapshot"), _("There is no supported image item in current selection."), ) return src_x, src_y, src_w, src_h = get_plot_qrect(plot, p0, p1).getRect() original_size = compute_image_items_original_size(items, plot, p0, p1) if new_size is None: new_size = ( int(abs(p1.x() - p0.x()) + 1), int(abs(p1.y() - p0.y()) + 1), ) # Screen size dlg = ResizeDialog( plot, new_size=new_size, old_size=original_size, text=_("Destination size:") ) if not dlg.exec(): return class SnapshotParam(DataSet): _levels = BeginGroup(_("Image levels adjustments")) apply_contrast = BoolItem(_("Apply contrast settings"), default=False) apply_interpolation = BoolItem(_("Apply interpolation algorithm"), default=True) norm_range = BoolItem(_("Scale levels to maximum range"), default=False) _end_levels = EndGroup(_("Image levels adjustments")) _multiple = BeginGroup(_("Superimposed images")) add_images = ChoiceItem( _("If image B is behind image A, replace intersection by"), [(False, "A"), (True, "A+B")], default=None, ) _end_multiple = EndGroup(_("Superimposed images")) param = SnapshotParam(_("Rectangle snapshot")) if not param.edit(parent=plot): return if dlg.keep_original_size: destw, desth = original_size else: destw, desth = dlg.width, dlg.height try: data = get_image_from_plot( plot, p0, p1, destw=destw, desth=desth, add_images=param.add_images, apply_lut=param.apply_contrast, apply_interpolation=param.apply_interpolation, original_resolution=dlg.keep_original_size, ) dtype = None for item in items: if dtype is None or item.data.dtype.itemsize > dtype.itemsize: dtype = item.data.dtype if param.norm_range: data = io.scale_data_to_dtype(data, dtype=dtype) else: data = np.array(data, dtype=dtype) except MemoryError: mbytes = int(destw * desth * 32.0 / (8 * 1024**2)) text = _( "There is not enough memory left to process " "this {destw:d} x {desth:d} image ({mbytes:d} " "MB would be required)." ) text = text.format(destw=destw, desth=desth, mbytes=mbytes) QW.QMessageBox.critical(plot, _("Memory error"), text) return for model_item in items: model_fname = model_item.get_filename() if model_fname is not None and model_fname.lower().endswith(".dcm"): break else: model_fname = None fname, _f = QW.QFileDialog.getSaveFileName( plot, _("Save as"), _("untitled"), io.iohandler.get_filters("save", data.dtype, template=True), ) _base, ext = osp.splitext(fname) options = {} if not fname: return elif ext.lower() == ".png": options.update(dict(dtype=np.uint8, max_range=True)) elif ext.lower() == ".dcm": # This import statement must stay here because if pydicom is not installed, # the extension .dcm is not registered in the io module, so we will not # get here. try: from pydicom import dcmread # pylint: disable=import-outside-toplevel except ImportError: raise ImportError("This should not happen (pydicom is not installed)") model_dcm = dcmread(model_fname) try: ps_attr = "ImagerPixelSpacing" ps_x, ps_y = getattr(model_dcm, ps_attr) except AttributeError: ps_attr = "PixelSpacing" ps_x, ps_y = getattr(model_dcm, ps_attr) model_dcm.Rows, model_dcm.Columns = data.shape dest_height, dest_width = data.shape ( _x, _y, _angle, model_dx, model_dy, _hflip, _vflip, ) = model_item.get_transform() new_ps_x = ps_x * src_w / (model_dx * dest_width) new_ps_y = ps_y * src_h / (model_dy * dest_height) setattr(model_dcm, ps_attr, [new_ps_x, new_ps_y]) options.update(dict(template=model_dcm)) io.imwrite(fname, data, **options) class SnapshotTool(RectangularActionTool): """ """ SWITCH_TO_DEFAULT_TOOL = True TITLE = _("Rectangle snapshot") ICON = "snapshot.png" def __init__(self, manager, toolbar_id=DefaultToolbarID): super().__init__( manager, save_snapshot, toolbar_id=toolbar_id, fix_orientation=True ) def end_rect(self, filter, p0, p1): """End rect: emit ``SIG_TOOL_JOB_FINISHED`` *synchronously* so the ``switch_to_default_tool`` listener restores the canvas cursor while we are still inside the mouse-release event handler chain โ€” Qt then gets the chance to refresh the cursor on neighbouring widgets (axes, toolbar) before any nested event loop is started by the snapshot dialogs. The action function itself is deferred via a zero-delay timer so the modal ``ResizeDialog`` (and following dialogs) is not opened from inside the rubber-band ``mouseRelease`` handler chain โ€” otherwise Qt's implicit grab is left in an unclean state on Windows and the cross cursor used by the canvas during the drag remains "stuck" on neighbouring widgets until the mouse moves over them. """ plot = filter.plot if self.fix_orientation: left, right = min(p0.x(), p1.x()), max(p0.x(), p1.x()) top, bottom = min(p0.y(), p1.y()), max(p0.y(), p1.y()) p0, p1 = QC.QPointF(left, top), QC.QPointF(right, bottom) # Synchronous: cursor is restored on the canvas now, while we are # still in the mouse-release handler chain. self.SIG_TOOL_JOB_FINISHED.emit() if self.switch_to_default_tool: shape = self.get_last_final_shape() plot.set_active_item(shape) # Deferred: open the dialogs after Qt has cleanly released the grab. QC.QTimer.singleShot(0, lambda: self.action_func(plot, p0, p1)) class HelpTool(CommandTool): """ """ def __init__(self, manager, toolbar_id=DefaultToolbarID): super().__init__( manager, _("Help"), get_std_icon("DialogHelpButton", 16), toolbar_id=toolbar_id, ) def activate_command(self, plot, checked): """Activate tool""" info = _( """Keyboard/mouse shortcuts:

- single left-click: item (curve, image, ...) selection
- single right-click: context-menu relative to selected item
- shift: on-active-curve (or image) cursor (+ control to maintain cursor visible)
- shift + control: on-active-curve cursor (+ control to maintain cursor visible)
- alt: free cursor
- left-click + mouse move: move item (when available)
- middle-click + mouse move: pan
- right-click + mouse move: zoom""" ) info += "

" + _("Information on PlotPy:") + "

" info += about.about(html=True) QW.QMessageBox.information(plot, _("Help"), info) class AboutTool(CommandTool): """ """ def __init__(self, manager, toolbar_id=DefaultToolbarID): super().__init__( manager, _("About") + " plotpy", get_icon("plotpy.svg"), toolbar_id=None ) def activate_command(self, plot, checked): """Activate tool""" about.show_about_dialog() class PrintTool(CommandTool): """ """ def __init__(self, manager, toolbar_id=DefaultToolbarID): super().__init__( manager, _("Print..."), get_icon("print.png"), toolbar_id=toolbar_id ) def activate_command(self, plot, checked): """Activate tool""" printer = QPrinter() dialog = QPrintDialog(printer, plot) saved_in, saved_out, saved_err = sys.stdin, sys.stdout, sys.stderr sys.stdout = None ok = dialog.exec() sys.stdin, sys.stdout, sys.stderr = saved_in, saved_out, saved_err if ok: plot.print_(printer) class OpenFileTool(CommandTool): """ """ #: Signal emitted by OpenFileTool when a file was opened #: #: Args: #: filename (str): The name of the file that was opened SIG_OPEN_FILE = QC.Signal(str) def __init__( self, manager, title=_("Open..."), formats="*.*", toolbar_id=DefaultToolbarID ): super().__init__( manager, title, get_std_icon("DialogOpenButton", 16), toolbar_id=toolbar_id ) self.formats = formats self.directory = "" def get_filename(self, plot): """ :param plot: :return: """ saved_in, saved_out, saved_err = sys.stdin, sys.stdout, sys.stderr sys.stdout = None filename, _f = QW.QFileDialog.getOpenFileName( plot, _("Open"), self.directory, self.formats ) sys.stdin, sys.stdout, sys.stderr = saved_in, saved_out, saved_err filename = str(filename) if filename: self.directory = osp.dirname(filename) return filename def activate_command(self, plot, checked): """Activate tool""" filename = self.get_filename(plot) if filename: self.SIG_OPEN_FILE.emit(filename) class FilterTool(CommandTool): """ """ def __init__(self, manager, filter, toolbar_id=None): super().__init__(manager, str(filter.name), toolbar_id=toolbar_id) self.filter = filter def update_status(self, plot): """ :param plot: """ self.set_status_active_item(plot) def activate_command(self, plot, checked): """Activate tool""" plot.apply_filter(self.filter) PlotPyStack-PlotPy-2af0906/plotpy/tools/plot.py000066400000000000000000000157041525747167300215540ustar00rootroot00000000000000# -*- coding: utf-8 -*-# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Plot tools""" from __future__ import annotations from typing import TYPE_CHECKING from guidata.configtools import get_icon from guidata.qthelpers import add_actions, add_separator from qtpy import QtCore as QC from qtpy import QtWidgets as QW from plotpy.config import _ from plotpy.constants import PARAMETERS_TITLE_ICON from plotpy.events import ZoomRectHandler, setup_standard_tool_filter from plotpy.interfaces import IImageItemType, IShapeItemType from plotpy.items import RectangleShape, get_items_in_rectangle from plotpy.tools.base import ( CommandTool, DefaultToolbarID, GuiTool, InteractiveTool, RectangularActionTool, ) if TYPE_CHECKING: from plotpy.plot import BasePlot, PlotManager class DoAutoscaleTool(CommandTool): """A tool to perform autoscale for associated plot.""" def __init__( self, manager, title=_("AutoScale"), icon="autoscale.png", tip=None, toolbar_id=DefaultToolbarID, ): super().__init__( manager, title=title, icon=icon, tip=tip, toolbar_id=toolbar_id ) def setup_context_menu(self, menu: QW.QMenu, plot: BasePlot) -> None: """ Set up the context menu for the tool. Args: menu: Context menu plot: Plot instance """ pass def activate_command(self, plot: BasePlot, checked: bool) -> None: """ Activate tool. Args: plot: Plot instance checked: Whether the tool is checked """ if checked: plot.do_autoscale() class BasePlotMenuTool(CommandTool): """ A tool that gather parameter panels from the BasePlot and proposes to edit them and set them back """ def __init__( self, manager, key, title=None, icon=None, tip=None, toolbar_id=DefaultToolbarID ): default_title, default_icon = PARAMETERS_TITLE_ICON[key] if title is None: title = default_title if icon is None: icon = default_icon super().__init__(manager, title, icon, tip, toolbar_id) # Warning: icon (str) --(Base class constructor)--> self.icon (QIcon) self.key = key def activate_command(self, plot: BasePlot, checked: bool) -> None: """ Activate tool. Args: plot: Plot instance checked: Whether the tool is checked """ plot.edit_plot_parameters(self.key) def update_status(self, plot: BasePlot) -> None: """ Update the status of the tool. Args: plot: Plot instance """ status = plot.get_plot_parameters_status(self.key) self.action.setEnabled(status) class DisplayCoordsTool(CommandTool): """Tool for displaying coordinates.""" def __init__(self, manager): super().__init__( manager, _("Markers"), icon=get_icon("on_curve.png"), tip=None, toolbar_id=None, ) self.action.setEnabled(True) def create_action_menu(self, manager: PlotManager) -> QW.QMenu: """ Create and return menu for the tool's action. Args: manager: Plot manager Returns: Menu for the tool's action """ menu = QW.QMenu() self.canvas_act = manager.create_action( _("Free"), toggled=self.activate_canvas_pointer ) self.curve_act = manager.create_action( _("Bound to active item"), toggled=self.activate_curve_pointer ) add_actions(menu, (self.canvas_act, self.curve_act)) return menu def activate_canvas_pointer(self, enable: bool) -> None: """ Activate canvas pointer. Args: enable: Whether to enable the canvas pointer """ plot = self.get_active_plot() if plot is not None: plot.set_pointer("canvas" if enable else None) def activate_curve_pointer(self, enable: bool) -> None: """ Activate curve pointer. Args: enable: Whether to enable the curve pointer """ plot = self.get_active_plot() if plot is not None: plot.set_pointer("curve" if enable else None) def update_status(self, plot: BasePlot) -> None: """ Update the status of the tool. Args: plot: Plot instance """ self.canvas_act.setChecked(plot.canvas_pointer) self.curve_act.setChecked(plot.curve_pointer) class RectZoomTool(InteractiveTool): TITLE = _("Rectangle zoom") ICON = "magnifier.png" def setup_filter(self, baseplot): """ :param baseplot: :return: """ filter = baseplot.filter start_state = filter.new_state() handler = ZoomRectHandler( filter, QC.Qt.MouseButton.LeftButton, start_state=start_state ) shape, h0, h1 = self.get_shape() handler.set_shape(shape, h0, h1) return setup_standard_tool_filter(filter, start_state) def get_shape(self): """ :return: """ shape = RectangleShape(0, 0, 1, 1) shape.set_style("plot", "shape/rectzoom") return shape, 0, 2 class DummySeparatorTool(GuiTool): """ """ def __init__(self, manager, toolbar_id=DefaultToolbarID): super().__init__(manager, toolbar_id) def setup_toolbar(self, toolbar): """Setup tool's toolbar""" add_separator(toolbar) def setup_context_menu(self, menu, plot): """ :param menu: :param plot: """ add_separator(menu) class RectangularSelectionTool(RectangularActionTool): SWITCH_TO_DEFAULT_TOOL = True TITLE = _("Rectangular selection tool") ICON = "select_area.svg" def __init__(self, manager, intersect=True, toolbar_id=DefaultToolbarID): super().__init__( manager, self.select_items, toolbar_id=toolbar_id, fix_orientation=True ) self.intersect = intersect def select_items(self, plot, p0, p1): items_to_select = [] # select items that implement IShapeItemType (annotation shapes, ...) items = get_items_in_rectangle( plot, p0, p1, item_type=IShapeItemType, intersect=self.intersect, ) for item in items: if item.isVisible(): items_to_select.append(item) # select items that implement IExportROIImageItemType (TrImageItem, ...) items = get_items_in_rectangle( plot, p0, p1, item_type=IImageItemType, intersect=self.intersect, ) for item in items: if item.isVisible(): items_to_select.append(item) plot.select_some_items(items_to_select) PlotPyStack-PlotPy-2af0906/plotpy/tools/selection.py000066400000000000000000000142741525747167300225640ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """Selection tools""" from __future__ import annotations import numpy as np from qtpy import QtCore as QC from qtpy import QtGui as QG from plotpy.config import _ from plotpy.events import ( KeyEventMatch, ObjectHandler, StandardKeyMatch, StatefulEventFilter, setup_standard_tool_filter, ) from plotpy.items import TrImageItem from plotpy.plot import BasePlot from plotpy.tools.base import InteractiveTool class SelectTool(InteractiveTool): """ Graphical Object Selection Tool """ TITLE = _("Selection") ICON = "select.svg" CURSOR = QC.Qt.CursorShape.ArrowCursor def setup_filter(self, baseplot: BasePlot) -> int: """ Set up the event filter for the tool. Args: baseplot: Base plot instance Returns: Start state of the filter """ filter = baseplot.filter # Initialisation du filtre start_state = filter.new_state() # Bouton gauche : ObjectHandler(filter, QC.Qt.MouseButton.LeftButton, start_state=start_state) ObjectHandler( filter, QC.Qt.MouseButton.LeftButton, mods=QC.Qt.KeyboardModifier.ControlModifier, start_state=start_state, multiselection=True, ) filter.add_event( start_state, KeyEventMatch( (QC.Qt.Key.Key_Enter, QC.Qt.Key.Key_Return, QC.Qt.Key.Key_Space) ), self.validate, start_state, ) filter.add_event( start_state, StandardKeyMatch(QG.QKeySequence.SelectAll), self.select_all_items, start_state, ) filter.add_event( start_state, KeyEventMatch( ( QC.Qt.Key.Key_Left, QC.Qt.Key.Key_Right, QC.Qt.Key.Key_Up, QC.Qt.Key.Key_Down, ) ), self.move_with_arrow, start_state, ) filter.add_event( start_state, KeyEventMatch( [ (QC.Qt.Key.Key_Left, QC.Qt.KeyboardModifier.ControlModifier), (QC.Qt.Key.Key_Right, QC.Qt.KeyboardModifier.ControlModifier), (QC.Qt.Key.Key_Up, QC.Qt.KeyboardModifier.ControlModifier), (QC.Qt.Key.Key_Down, QC.Qt.KeyboardModifier.ControlModifier), ] ), self.move_with_arrow, start_state, ) filter.add_event( start_state, KeyEventMatch( [ (QC.Qt.Key.Key_Left, QC.Qt.KeyboardModifier.ShiftModifier), (QC.Qt.Key.Key_Right, QC.Qt.KeyboardModifier.ShiftModifier), ( QC.Qt.Key.Key_Left, QC.Qt.KeyboardModifier.ControlModifier | QC.Qt.KeyboardModifier.ShiftModifier, ), ( QC.Qt.Key.Key_Right, QC.Qt.KeyboardModifier.ControlModifier | QC.Qt.KeyboardModifier.ShiftModifier, ), ] ), self.rotate_with_arrow, start_state, ) return setup_standard_tool_filter(filter, start_state) def select_all_items(self, filter: StatefulEventFilter, event: QC.QEvent) -> None: """ Select all items in the plot. Args: filter: Event filter event: Event that triggered the selection """ filter.plot.select_all() filter.plot.replot() def move_with_arrow(self, filter: StatefulEventFilter, event: QG.QKeyEvent) -> None: """ Move selected items with arrow keys. Args: filter: Event filter event: Key event """ dx, dy = 0, 0 if event.modifiers() == QC.Qt.KeyboardModifier.NoModifier: if event.key() == QC.Qt.Key.Key_Left: dx = -10 elif event.key() == QC.Qt.Key.Key_Right: dx = 10 elif event.key() == QC.Qt.Key.Key_Up: dy = -10 elif event.key() == QC.Qt.Key.Key_Down: dy = 10 elif event.modifiers() == QC.Qt.KeyboardModifier.ControlModifier: if event.key() == QC.Qt.Key.Key_Left: dx = -1 elif event.key() == QC.Qt.Key.Key_Right: dx = 1 elif event.key() == QC.Qt.Key.Key_Up: dy = -1 elif event.key() == QC.Qt.Key.Key_Down: dy = 1 selected_items = filter.plot.get_selected_items() for item in selected_items: if isinstance(item, TrImageItem): item.move_with_arrows(dx, dy) filter.plot.replot() def rotate_with_arrow( self, filter: StatefulEventFilter, event: QG.QKeyEvent ) -> None: """ Rotate selected items with arrow keys. Args: filter: Event filter event: Key event """ dangle = 0 if event.modifiers() == QC.Qt.KeyboardModifier.ShiftModifier: if event.key() == QC.Qt.Key.Key_Left: dangle = -np.deg2rad(0.5) elif event.key() == QC.Qt.Key.Key_Right: dangle = np.deg2rad(0.5) elif ( event.modifiers() & QC.Qt.KeyboardModifier.ControlModifier == QC.Qt.KeyboardModifier.ControlModifier ) and ( event.modifiers() & QC.Qt.KeyboardModifier.ShiftModifier == QC.Qt.KeyboardModifier.ShiftModifier ): if event.key() == QC.Qt.Key.Key_Left: dangle = -np.deg2rad(0.05) elif event.key() == QC.Qt.Key.Key_Right: dangle = np.deg2rad(0.05) selected_items = filter.plot.get_selected_items() for item in selected_items: if isinstance(item, TrImageItem): item.rotate_with_arrows(dangle) filter.plot.replot() PlotPyStack-PlotPy-2af0906/plotpy/tools/shape.py000066400000000000000000000262201525747167300216710ustar00rootroot00000000000000# -*- coding: utf-8 -*-# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """Shape tools""" from __future__ import annotations import warnings from typing import Callable import numpy as np from qtpy import QtCore as QC from plotpy.config import _ from plotpy.constants import SHAPE_Z_OFFSET from plotpy.events import ( MultilineSelectionHandler, PointSelectionHandler, StatefulEventFilter, setup_standard_tool_filter, ) from plotpy.items import ( EllipseShape, ObliqueRectangleShape, PointShape, PolygonShape, SegmentShape, ) from plotpy.plot import BasePlot from plotpy.tools.base import DefaultToolbarID, InteractiveTool, RectangularActionTool class MultiLineTool(InteractiveTool): """ A tool for drawing multi-line shapes (polylines) on a plot. This tool allows users to create polyline shapes by clicking on the plot to add points. The shape can be finalized using the Enter or Space key. Args: manager: The plot manager. handle_final_shape_cb: Callback function to handle the final shape. shape_style: Tuple containing the style section and key for the shape. toolbar_id: ID of the toolbar to which this tool belongs. title: Title of the tool. icon: Icon for the tool. tip: Tooltip for the tool. switch_to_default_tool: Whether to switch to the default tool after use. """ TITLE: str = _("Polyline") ICON: str = "polyline.png" CLOSED: bool = False CURSOR: QC.Qt.CursorShape = QC.Qt.CursorShape.PointingHandCursor def __init__( self, manager, setup_shape_cb: Callable | None = None, handle_final_shape_cb: Callable | None = None, shape_style: tuple[str, str] | None = None, toolbar_id: str = DefaultToolbarID, title: str | None = None, icon: str | None = None, tip: str | None = None, switch_to_default_tool: bool | None = None, ): super().__init__( manager, toolbar_id, title=title, icon=icon, tip=tip, switch_to_default_tool=switch_to_default_tool, ) self.handler: MultilineSelectionHandler | None = None self.switch_to_default_tool = switch_to_default_tool self.setup_shape_cb = setup_shape_cb self.handle_final_shape_cb = handle_final_shape_cb if shape_style is not None: self.shape_style_sect, self.shape_style_key = shape_style else: self.shape_style_sect = "plot" self.shape_style_key = "shape/drag" def set_shape_style(self, shape: PolygonShape) -> None: """Set shape style Args: shape: shape """ shape.set_style(self.shape_style_sect, self.shape_style_key) def create_shape(self) -> PolygonShape: """Create shape""" shape = PolygonShape(closed=False) self.set_shape_style(shape) return shape def setup_shape(self, shape: PolygonShape) -> None: """Setup shape""" shape.setTitle(self.TITLE) if self.setup_shape_cb is not None: self.setup_shape_cb(shape) def get_shape(self) -> PolygonShape: """ Get shape Returns: shape """ shape = self.create_shape() self.setup_shape(shape) return shape def setup_filter(self, baseplot: BasePlot) -> StatefulEventFilter: """ Set up the event filter for the tool. Args: baseplot: The base plot object. Returns: The configured filter. """ filter = baseplot.filter start_state = filter.new_state() self.handler = MultilineSelectionHandler( filter, QC.Qt.LeftButton, start_state=start_state, closed=self.CLOSED ) self.handler.SIG_END_POLYLINE.connect(self.end_polyline) shape = self.get_shape() self.handler.set_shape(shape, self.setup_shape) return setup_standard_tool_filter(filter, start_state) def handle_final_shape(self, shape) -> None: """ Handle the final shape after it's been created. Args: shape: The final shape object. """ if self.handle_final_shape_cb is not None: self.handle_final_shape_cb(shape) def end_polyline(self, filter: StatefulEventFilter, points: np.ndarray) -> None: """ End the polyline and reset the tool. Args: filter: The plot filter. points: The points of the polyline. """ plot = filter.plot shape = self.get_shape() shape.set_points(points) shape.set_closed(self.CLOSED) plot.add_item_with_z_offset(shape, SHAPE_Z_OFFSET) self.handle_final_shape(shape) self.SIG_TOOL_JOB_FINISHED.emit() if self.switch_to_default_tool: plot.set_active_item(shape) class PolygonTool(MultiLineTool): """ A tool for drawing free-form shapes on a plot. This tool extends the MultiLineTool to create closed shapes when there are more than 2 points. """ TITLE: str = _("Polygon") ICON: str = "polygon.png" CLOSED: bool = True # The old name of the class was FreeFormTool, but the class is now PolygonTool # The old name is kept for backward compatibility, but a warning is issued when # the class is instantiated using the old name. class FreeFormTool(PolygonTool): def __init__(self, *args, **kwargs): warnings.warn( "FreeFormTool is deprecated, use PolygonTool instead.", DeprecationWarning, stacklevel=2, ) super().__init__(*args, **kwargs) class RectangularShapeTool(RectangularActionTool): """ Base class for tools that create rectangular shapes. Args: manager: The plot manager. setup_shape_cb: Callback function to set up the shape. handle_final_shape_cb: Callback function to handle the final shape. shape_style: Tuple containing the style section and key for the shape. toolbar_id: ID of the toolbar to which this tool belongs. title: Title of the tool. icon: Icon for the tool. tip: Tooltip for the tool. switch_to_default_tool: Whether to switch to the default tool after use. """ TITLE: str | None = None ICON: str | None = None def __init__( self, manager, setup_shape_cb: Callable | None = None, handle_final_shape_cb: Callable | None = None, shape_style: tuple[str, str] | None = None, toolbar_id: str = DefaultToolbarID, title: str | None = None, icon: str | None = None, tip: str | None = None, switch_to_default_tool: bool | None = None, ): super().__init__( manager, self.add_shape_to_plot, shape_style, toolbar_id=toolbar_id, title=title, icon=icon, tip=tip, switch_to_default_tool=switch_to_default_tool, ) self.setup_shape_cb = setup_shape_cb self.handle_final_shape_cb = handle_final_shape_cb def add_shape_to_plot(self, plot, p0: QC.QPointF, p1: QC.QPointF): """ Add the final shape to the plot. Args: plot: The plot object. p0: The first point of the shape. p1: The second point of the shape. """ shape = self.get_final_shape(plot, p0, p1) self.handle_final_shape(shape) plot.replot() def setup_shape(self, shape) -> None: """ Set up the shape properties. Args: shape: The shape object to set up. """ shape.setTitle(self.TITLE) if self.setup_shape_cb is not None: self.setup_shape_cb(shape) def handle_final_shape(self, shape) -> None: """ Handle the final shape after it's been created. Args: shape: The final shape object. """ if self.handle_final_shape_cb is not None: self.handle_final_shape_cb(shape) class RectangleTool(RectangularShapeTool): """Tool for creating rectangle shapes.""" TITLE: str = _("Rectangle") ICON: str = "rectangle.png" class ObliqueRectangleTool(RectangularShapeTool): """Tool for creating oblique rectangle shapes.""" TITLE: str = _("Oblique rectangle") ICON: str = "oblique_rectangle.png" AVOID_NULL_SHAPE: bool = True def create_shape(self): """ Create an oblique rectangle shape. Returns: A tuple containing the shape object and its handle indices. """ shape = ObliqueRectangleShape(1, 1, 2, 1, 2, 2, 1, 2) self.set_shape_style(shape) return shape, 0, 2 class PointTool(RectangularShapeTool): """Tool for creating point shapes.""" TITLE: str = _("Point") ICON: str = "point_shape.png" SHAPE_STYLE_KEY: str = "shape/point" def create_shape(self): """ Create a point shape. Returns: A tuple containing the shape object and its handle indices. """ shape = PointShape(0, 0) self.set_shape_style(shape) return shape, 0, 0 def get_selection_handler(self, filter, start_state): """ Get the selection handler for the point tool. Args: filter: The plot filter. start_state: The initial state. Returns: A PointSelectionHandler object. """ return PointSelectionHandler(filter, QC.Qt.LeftButton, start_state=start_state) class SegmentTool(RectangularShapeTool): """Tool for creating segment shapes.""" TITLE: str = _("Segment") ICON: str = "segment.png" SHAPE_STYLE_KEY: str = "shape/segment" def create_shape(self): """ Create a segment shape. Returns: A tuple containing the shape object and its handle indices. """ shape = SegmentShape(0, 0, 1, 1) self.set_shape_style(shape) return shape, 0, 1 class CircleTool(RectangularShapeTool): """Tool for creating circle shapes.""" TITLE: str = _("Circle") ICON: str = "circle.png" def create_shape(self): """ Create a circle shape. Returns: A tuple containing the shape object and its handle indices. """ shape = EllipseShape(0, 0, 1, 1) self.set_shape_style(shape) return shape, 0, 1 class EllipseTool(RectangularShapeTool): """Tool for creating ellipse shapes.""" TITLE: str = _("Ellipse") ICON: str = "ellipse_shape.png" def create_shape(self): """ Create an ellipse shape. Returns: A tuple containing the shape object and its handle indices. """ shape = EllipseShape(0, 0, 1, 1) self.set_shape_style(shape) return shape, 0, 1 def handle_final_shape(self, shape) -> None: """ Handle the final ellipse shape after it's been created. Args: shape: The final ellipse shape object. """ shape.switch_to_ellipse() super().handle_final_shape(shape) PlotPyStack-PlotPy-2af0906/plotpy/widgets/000077500000000000000000000000001525747167300205235ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/widgets/__init__.py000066400000000000000000000000311525747167300226260ustar00rootroot00000000000000# -*- coding: utf-8 -*- PlotPyStack-PlotPy-2af0906/plotpy/widgets/about.py000066400000000000000000000033441525747167300222130ustar00rootroot00000000000000# -*- coding: utf-8 -*- """ about ===== """ from __future__ import annotations import guidata import qwt from guidata.configtools import get_icon from guidata.widgets import about as guidata_about from qtpy.QtCore import Qt from qtpy.QtWidgets import QMainWindow, QMessageBox import plotpy from plotpy.config import _ def get_python_libs_info(addinfo: str = "") -> str: """Get Python and libraries information Args: addinfo: additional information to be displayed Returns: str: Python and libraries information """ if addinfo: addinfo = ", " + addinfo addinfo = f"PlotPy {plotpy.__version__}{addinfo}" return guidata_about.get_python_libs_info(addinfo) def about(html: bool = True, copyright_only: bool = False) -> str: """Return text about this package Args: html: return html text. Defaults to True. copyright_only: if True, return only copyright Returns: str: text about this package """ info = guidata_about.AboutInfo( name="PlotPy", version=plotpy.__version__, description=_("Set of tools for curve and image plotting"), author="Pierre Raybaut", year=2016, organization="PlotPyStack", ) addinfo = f"guidata {guidata.__version__}, PythonQwt {qwt.__version__}" return info.about(html=html, copyright_only=copyright_only, addinfo=addinfo) def show_about_dialog() -> None: """Show ``plotpy`` about dialog""" win = QMainWindow(None) win.setAttribute(Qt.WA_DeleteOnClose) win.hide() win.setWindowIcon(get_icon("plotpy.svg")) QMessageBox.about(win, _("About") + " PlotPy", about(html=True)) win.close() PlotPyStack-PlotPy-2af0906/plotpy/widgets/basetransform.py000066400000000000000000000232211525747167300237430ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ base ---- The `base` module provides base objects for internal use of the :mod:`.widgets` package. """ from __future__ import annotations from typing import TYPE_CHECKING, Any, Union from guidata.configtools import get_icon from guidata.qthelpers import create_toolbutton from qtpy import QtWidgets as QW from plotpy._scaler import INTERP_LINEAR from plotpy.config import _ from plotpy.items import TrImageItem from plotpy.plot import PlotOptions, PlotWidget if TYPE_CHECKING: import numpy as np from plotpy.plot.base import BasePlot from plotpy.plot.manager import PlotManager from plotpy.widgets.fliprotate import FlipRotateWidget from plotpy.widgets.rotatecrop import RotateCropWidget TransfWidget = Union[FlipRotateWidget, RotateCropWidget] class BaseTransform: """Base transform class (for manipulating TrImageItem objects) This is to be mixed with a class providing the get_plot method, like PlotDialog, or BaseTransformWidget (see below) Args: parent (QWidget): Parent widget manager (PlotManager): Plot manager """ def __init__(self, parent: QW.QWidget, manager: PlotManager) -> None: self.parent = parent self.manager = manager self.item: TrImageItem = None self.item_original_state: tuple[bool, bool, bool, bool] = None self.item_original_crop: tuple[float, float, float, float] = None self.item_original_transform: tuple[float, float, float] = None self.output_array: np.ndarray = None # ------Public API---------------------------------------------------------- def get_result(self) -> np.ndarray: """Return the result array Returns: numpy.ndarray: Result array """ return self.output_array def set_item(self, item: TrImageItem) -> None: """Set associated item Args: item (TrImageItem): Image item """ assert isinstance(item, TrImageItem) self.item = item self.item_original_state = ( item.can_select(), item.can_move(), item.can_resize(), item.can_rotate(), ) self.item_original_crop = item.get_crop() self.item_original_transform = item.get_transform() self.item.set_selectable(True) self.item.set_movable(True) self.item.set_resizable(False) self.item.set_rotatable(True) item.set_lut_threshold(2.0) item.set_interpolation(INTERP_LINEAR) plot = self.manager.get_plot() plot.add_item(self.item) # Setting the item as active item (even if the cropping rectangle item # will also be set as active item just below), for the image tools to # register this item (contrast, ...): plot.set_active_item(self.item) self.item.unselect() def unset_item(self) -> None: """Unset the associated item, freeing memory""" plot = self.manager.get_plot() plot.del_item(self.item) self.item = None def reset(self) -> None: """Reset crop/transform image settings""" self.item.set_crop(*self.item_original_crop) self.item.set_transform(*self.item_original_transform) self.reset_transformation() self.apply_transformation() def reset_transformation(self) -> None: """Reset transformation""" raise NotImplementedError def apply_transformation(self) -> None: """Apply transformation, e.g. crop or rotate""" raise NotImplementedError def compute_transformation(self) -> np.ndarray: """Compute transformation, return compute output array Returns: numpy.ndarray: Output array """ raise NotImplementedError # ------Private API--------------------------------------------------------- def restore_original_state(self) -> None: """Restore item original state""" select, move, resize, rotate = self.item_original_state self.item.set_selectable(select) self.item.set_movable(move) self.item.set_resizable(resize) self.item.set_rotatable(rotate) def accept_changes(self) -> None: """Computed rotated/cropped array and apply changes to item""" self.restore_original_state() self.apply_transformation() self.output_array = self.compute_transformation() # Ignoring image position changes pos_x0, pos_y0, _angle, sx, sy, hf, vf = self.item_original_transform _pos_x0, _pos_y0, angle, _sx, _sy, hf, vf = self.item.get_transform() self.item.set_transform(pos_x0, pos_y0, angle, sx, sy, hf, vf) def reject_changes(self) -> None: """Restore item original transform settings""" self.restore_original_state() self.item.set_crop(*self.item_original_crop) self.item.set_transform(*self.item_original_transform) class BaseTransformWidget(QW.QWidget): """Base transform widget: see for example rotatecrop.py Args: parent (QWidget): Parent widget toolbar (bool | None): Whether to show toolbar. Defaults to False. options (dict | None): Plot options. Defaults to None. """ def __init__( self, parent: QW.QWidget, toolbar: bool = False, options: PlotOptions | dict[str, Any] | None = None, ) -> None: super().__init__(parent) if isinstance(options, dict): options = PlotOptions(**options) options = options if options is not None else PlotOptions() options.type = "image" self.plot_widget = PlotWidget(self, options=options, toolbar=toolbar) self.plot_widget.manager.register_all_image_tools() hlayout = QW.QHBoxLayout() self.add_buttons_to_layout(hlayout) vlayout = QW.QVBoxLayout() vlayout.addWidget(self.plot_widget) vlayout.addLayout(hlayout) self.setLayout(vlayout) def get_plot(self) -> BasePlot: """Required for BaseTransformMixin Returns: BasePlot: Plot widget """ return self.plot_widget.get_plot() def add_buttons_to_layout( self, layout: QW.QBoxLayout, apply=True, reset=True ) -> None: """Add tool buttons to layout Args: layout (QBoxLayout): Layout apply (bool | None): Add apply button. Defaults to True. reset (bool | None): Add reset button. Defaults to True. """ if reset: self.__add_reset_button(layout) if apply: self.__add_apply_button(layout) def __add_apply_button(self, layout: QW.QBoxLayout) -> None: """Add the standard apply button Args: layout (QBoxLayout): Layout """ apply_btn = create_toolbutton( self.plot_widget, text=_("Apply"), icon=get_icon("apply.png"), triggered=self.apply_transformation, autoraise=False, ) layout.addWidget(apply_btn) layout.addStretch() def __add_reset_button(self, layout: QW.QBoxLayout) -> None: """Add the standard reset button Args: layout (QBoxLayout): Layout """ edit_options_btn = create_toolbutton( self.plot_widget, text=_("Reset"), icon=get_icon("eraser.png"), triggered=self.reset, autoraise=False, ) layout.addWidget(edit_options_btn) layout.addStretch() def reset(self) -> None: """Reset crop/transform image settings""" return NotImplementedError def apply_transformation(self) -> None: """Apply transformation, e.g. crop or rotate""" return NotImplementedError class BaseMultipleTransformWidget(QW.QTabWidget): """Base Multiple Transform Widget Transform several :py:class:`.image.TrImageItem` plot items Args: parent: Parent widget options: Plot options. Defaults to None. """ TRANSFORM_WIDGET_CLASS: TransfWidget # to be defined in subclass def __init__(self, parent: QW.QWidget, options: PlotOptions | None = None): QW.QTabWidget.__init__(self, parent) self.options = options self.output_arrays = None def set_items(self, *items: TrImageItem) -> None: """Set the associated items Args: *items (TrImageItem): Items """ for item in items: self.add_item(item) def add_item(self, item: TrImageItem) -> TransfWidget: """Add item to widget Args: item (TrImageItem): Item """ widget: TransfWidget = self.TRANSFORM_WIDGET_CLASS(self, options=self.options) widget.transform.set_item(item) self.addTab(widget, item.title().text()) return widget def clear_items(self) -> None: """Clear all items, freeing memory""" self.items = None for index in range(self.count()): self.widget(index).unset_item() self.clear() def reset(self) -> None: """Reset transform image settings""" for index in range(self.count()): self.widget(index).reset() def accept_changes(self) -> None: """Accept all changes""" self.output_arrays = [] for index in range(self.count()): widget: TransfWidget = self.widget(index) widget.transf.accept_changes() self.output_arrays.append(widget.transf.output_array) def reject_changes(self) -> None: """Reject all changes""" for index in range(self.count()): self.widget(index).reject_changes() PlotPyStack-PlotPy-2af0906/plotpy/widgets/colormap/000077500000000000000000000000001525747167300223375ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/plotpy/widgets/colormap/__init__.py000066400000000000000000000006151525747167300244520ustar00rootroot00000000000000# -*- coding: utf-8 -*- """ Colormaps ========= The `colormap` module contains definition of common colormaps and tools to manipulate and create them. This package provides widgets for creating, editing, and managing colormaps: - ``ColorMapWidget``: Interactive colormap editor widget - ``ColorMapEditor``: Full colormap editing dialog - ``ColorMapManager``: Colormap management interface """ PlotPyStack-PlotPy-2af0906/plotpy/widgets/colormap/_slider.py000066400000000000000000000041541525747167300243360ustar00rootroot00000000000000# -*- coding: utf-8 -*- """A custom QDoubleRangeSlider with some extra functionnalities for colormap sliders.""" from typing import Sequence from plotpy.external.sliders import QDoubleRangeSlider class QColorMapSlider(QDoubleRangeSlider): """Supercharged QDoubleRangeSlider with a few extra features for colormap sliders.""" @property def pressed_index(self) -> int: """Simple getter for the index of the handle pressed by the user (mouse clicked). Returns: handled index """ return self._pressedIndex def widget_pos_to_value(self, pos: int) -> float: """Returns the relative value of the slider at the given pixel position on the widget. Returns: slider value """ return self._pixelPosToRangeValue(pos) def filter_first_last_positions(self, value: Sequence[float]) -> Sequence[float]: """Checks if the first and last handles are at the minimum and maximum values. If not, it sets them to the minimum and maximum values. This is required to prevent the application from crashing. Args: value: list of handle values Returns: Modified list of handle values if necessary """ if value[0] != self._minimum or value[-1] != self._maximum: value = list(value) value[0], value[-1] = self._minimum, self._maximum return value def _setPosition(self, val: Sequence[float]) -> None: """Overload of the original _setPosition method to prevent the application from crashing if the first and last handles are moved. Args: value: list of handle values """ return super()._setPosition(self.filter_first_last_positions(val)) def setValue(self, value: Sequence[float]) -> None: """Overload of the original setValue method to prevent the application from crashing if the first and last handles are moved. Args: value: list of handle values """ return super().setValue(self.filter_first_last_positions(value)) PlotPyStack-PlotPy-2af0906/plotpy/widgets/colormap/editor.py000066400000000000000000000237341525747167300242100ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Colormap editor --------------- This module provides a more complete colormap editor widget than the one provided by ColorMapWidget (plotpy/widgets/colormap_widget.py). It allows to edit a colormap by changing its color stops (add/delete/move/change color). Reference ~~~~~~~~~ .. autoclass:: ColorPickDataSet :members: .. autoclass:: ColorMapEditor :members: """ from __future__ import annotations import qtpy.QtCore as QC import qtpy.QtGui as QG import qtpy.QtWidgets as QW from guidata.dataset import ColorItem, DataSet, FloatItem from guidata.dataset.datatypes import GetAttrProp, NotProp from guidata.dataset.qtwidgets import DataSetEditGroupBox from plotpy.config import _ from plotpy.widgets.colormap.widget import ColorMapWidget, EditableColormap class ColorPickDataSet(DataSet): """Dataset with the field used to edit a color stop.""" _position_locked = False position = ( FloatItem( _("Relative position"), min=0.0, max=1.0, default=0.5, help=_("Must be a value between 0.0 and 1.0."), ) .set_prop("display", format="%.2f") .set_prop("display", active=NotProp(GetAttrProp("_position_locked"))) ) hex_color = ColorItem( "Pick color", help="Pick a color to use for the selected cursor." ) def lock_position(self, lock=True) -> None: """Used to lock the position of the cursor value. Args: lock: True if value must be locked. Defaults to True. """ self._position_locked = lock def is_position_locked(self): """Returns True if the position is locked. Returns: True if position is locked, False otherwise. """ return self._position_locked def set_position(self, position: float) -> None: """Set a new position for the cursor. Value is rounded to 2 decimals. Args: position: new position to set """ self.position = round(position, 2) def get_position(self) -> float: """Return the current position of the cursor. Returns: float value of the cursor position """ return self.position # type: ignore def set_color(self, hex_color: str): """Set a new hex color for the cursor. Args: hex_color: str hex color to set (e.g. "#FF0000" for red) """ self.hex_color = hex_color def get_hex_color(self) -> str: """Return the current str hex color of the cursor. Returns: str hex color of the cursor (e.g. "#FF0000" for red) """ return self.hex_color # type: ignore class ColorMapEditor(QW.QWidget): """Widget that allows a user to edit a colormap by changing its color stops ( add/delete/move/change color). Right click on the colorbar or slider to add or remove colors stops. A existing colormap instance can be used. However, the modifications are inplace so you should copy the object if you do not want to mutate it. Args: parent: Parent widget. cmap_width: Cmap size in pixels. Defaults to 400. cmap_height: Cmap height in pixels. Defaults to 50. color1: First color of the colormap. If None, color blue is used. Ignored if argument 'colormap' is used. Defaults to None. color2: Last color of the colormap. If None, color yellow is used.Ignored if argument 'colormap' is used. Defaults to None colormap: An already initialized colormap to use in the widget. Defaults to None. """ def __init__( self, parent: QW.QWidget | None, cmap_width: int = 400, cmap_height: int = 50, color1: QG.QColor | None = None, color2: QG.QColor | None = None, colormap: EditableColormap | None = None, ) -> None: super().__init__(parent) color1 = QG.QColor(QC.Qt.GlobalColor.blue) if color1 is None else color1 color2 = QG.QColor(QC.Qt.GlobalColor.yellow) if color2 is None else color2 self.colormap_widget = ColorMapWidget( self, cmap_width, cmap_height, color1, color2, colormap ) self.tabs = QW.QTabWidget() self.datasets: list[DataSetEditGroupBox[ColorPickDataSet]] = [] self.setup_tabs() self.tabs.setCurrentIndex(0) self.update_tabs_names_from_current() layout = QW.QVBoxLayout(self) layout.addWidget(self.colormap_widget) layout.addWidget(self.tabs) layout.addStretch(1) self.setLayout(layout) self.colormap_widget.HANDLE_SELECTED.connect(self.change_current_dataset) self.colormap_widget.HANDLE_ADDED.connect(self.new_tab) self.colormap_widget.HANDLE_DELETED.connect(self.delete_tab) self.colormap_widget.multi_range_hslider.sliderMoved.connect( lambda *args: self.update_current_dataset() ) def set_colormap(self, colormap: EditableColormap) -> None: """Replaces the current colormap. Args: colormap: replacement colormap """ self.colormap_widget.blockSignals(True) self.colormap_widget.set_colormap(colormap) self.colormap_widget.blockSignals(False) self.setup_tabs() def get_colormap(self) -> EditableColormap: """Get the current colormap being edited. Returns: current colormap """ return self.colormap_widget.get_colormap() def change_current_dataset(self, dataset_index: int) -> None: """Wrapper functio to change the current dataset (=current tab) Args: dataset_index: dataset index (=tab) to set current """ self.tabs.setCurrentIndex(dataset_index) def update_tab_color(self, tab_index: int) -> None: """Update the tab icon color for the given tab index. Args: tab_index: index of the tab to update """ handle_color = self.colormap_widget.get_handle_color(tab_index) pixmap = QG.QPixmap(10, 10) # Size of the square pixmap.fill(handle_color) # Color of the square new_icon = QG.QIcon(pixmap) self.tabs.setTabIcon(tab_index, new_icon) hex_color = handle_color.name() dataset_grp = self.datasets[tab_index] dataset_grp.dataset.set_color(hex_color) dataset_grp.get() def update_tabs_names_from_current(self) -> None: """Update all the tab names from the current active tab (useful when a new one is added). """ start_index = self.tabs.currentIndex() for i in range(start_index, self.tabs.count()): self.tabs.setTabText(i, str(i + 1)) def new_tab(self, index: int, handle_pos: float) -> None: """Add/insert a new tab at the given index and set its relative position and color. Args: index: index of the insertion/appending. handle_pos: relative value to set in the tab (new handle current position) """ dw = DataSetEditGroupBox("", ColorPickDataSet) dw.dataset.set_position(handle_pos) hex_color = self.colormap_widget.get_hex_color(index) dw.dataset.set_color(hex_color) dw.SIG_APPLY_BUTTON_CLICKED.connect(self.update_colormap_widget) if index == self.tabs.count(): self.datasets.append(dw) self.tabs.addTab(dw, "") else: self.datasets.insert(index, dw) self.tabs.insertTab(index, dw, "") dw.updateGeometry() self.tabs.setCurrentIndex(index) dw.set() self.update_tab_color(index) self.update_tabs_names_from_current() def setup_tabs(self) -> None: """Clear and setup all the tabs from the current colormap. Can be used to reset all tabs after initialization. """ self.datasets.clear() self.tabs.clear() for i, handle_pos in enumerate(self.colormap_widget.get_handles_tuple()): self.new_tab(i, handle_pos) self.datasets[0].dataset.lock_position() self.datasets[0].get() self.datasets[-1].dataset.lock_position() self.datasets[-1].get() def reset_colors(self): """Updates all the tab icons color.""" for i in range(len(self.colormap_widget)): self.update_tab_color(i) def delete_tab(self, tab_index: int) -> None: """Removes the tab/dataset at given index. Args: tab_index: index to remove """ self.tabs.removeTab(tab_index) self.datasets.pop(tab_index) self.tabs.setCurrentIndex(tab_index) self.update_tabs_names_from_current() def update_colormap_widget(self) -> None: """Update the colormap widget (colorbar and handles) with the values from the current tab. """ current_index = self.tabs.currentIndex() current_dataset = self.datasets[current_index].dataset new_slider_values = self.colormap_widget.get_handles_list() if 0 < current_index < self.tabs.count() - 1: relative_pos = current_dataset.get_position() else: relative_pos = new_slider_values[current_index] current_dataset.set_position(relative_pos) self.datasets[current_index].get() new_color = QG.QColor(current_dataset.get_hex_color()) self.colormap_widget.edit_color_stop(current_index, relative_pos, new_color) self.update_tab_color(current_index) def update_current_dataset(self): """Update values in the current dataset/tab with the values from the colormap widget. """ current_index = self.tabs.currentIndex() current_dataset_grp = self.datasets[current_index] relative_pos = self.colormap_widget.get_handles_tuple()[current_index] current_dataset_grp.dataset.set_position(relative_pos) current_dataset_grp.get() current_dataset_grp.get() PlotPyStack-PlotPy-2af0906/plotpy/widgets/colormap/manager.py000066400000000000000000000427021525747167300243300ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Colormap manager ---------------- This module provides a fully featured colormap manager widget and dialog window that allows to select, edit and save colormaps (existing or new). Reference ~~~~~~~~~ .. autoclass:: ColorMapNameEdit :members: .. autoclass:: ColorMapManager :members: """ from __future__ import annotations from copy import deepcopy import qtpy.QtCore as QC import qtpy.QtGui as QG import qtpy.QtWidgets as QW from guidata.configtools import get_icon from guidata.env import execenv from guidata.qthelpers import exec_dialog from plotpy.config import _ from plotpy.mathutils.colormap import ( ALL_COLORMAPS, CUSTOM_COLORMAPS, DEFAULT_COLORMAPS, LARGE_ICON_HEIGHT, LARGE_ICON_ORIENTATION, LARGE_ICON_WIDTH, add_cmap, build_icon_from_cmap, cmap_exists, delete_cmap, get_cmap, ) from plotpy.widgets.colormap.editor import ColorMapEditor from plotpy.widgets.colormap.widget import EditableColormap class ColorMapNameEdit(QW.QDialog): """Dialog box to enter a colormap name. Args: parent: parent QWidget. Defaults to None. title: dialog box title. Defaults to "". name: default colormap name. Defaults to "". """ def __init__( self, parent: QW.QWidget | None = None, title: str = "", name: str = "" ) -> None: super().__init__(parent) self.setWindowTitle(title) label = QW.QLabel(_("Enter a colormap name:")) self._edit = QW.QLineEdit() regexp = QC.QRegularExpression("[1-9a-zA-Z_]*") self._edit.setValidator(QG.QRegularExpressionValidator(regexp)) self._edit.setText(name) self._edit.setToolTip( _( "New colormap name cannot contain special characters " "except underscores (_)." ) ) bbox = QW.QDialogButtonBox(QW.QDialogButtonBox.Ok | QW.QDialogButtonBox.Cancel) bbox.accepted.connect(self.accept) bbox.rejected.connect(self.reject) hlayout = QW.QHBoxLayout() hlayout.addWidget(label) hlayout.addWidget(self._edit) dialog_layout = QW.QVBoxLayout() dialog_layout.addLayout(hlayout) dialog_layout.addWidget(bbox) self.setLayout(dialog_layout) def get_colormap_name(self) -> str: """Return the colormap name entered in the QLineEdit. Returns: colormap name """ return self._edit.text() @classmethod def edit( cls, parent: QW.QWidget | None = None, title: str = "", name: str = "" ) -> str | None: """Open the dialog box and return the colormap name entered in the QLineEdit. Args: parent: parent QWidget. Defaults to None. title: dialog box title. Defaults to "". name: default colormap name. Defaults to "". Returns: colormap name, or None if the dialog box was canceled. """ dialog = cls(parent, title, name) if exec_dialog(dialog): return dialog.get_colormap_name() return None class ColorMapManager(QW.QDialog): """Colormap manager dialog box. Allows to select, edit and save colormaps. Args: parent: parent QWidget. Defaults to None. active_colormap: name of the active colormap. invert: initial state of the 'Invert colormap' checkbox. Defaults to False. .. note:: The active colormap is the colormap that will be selected by default when the dialog box is opened. If the colormap does not exist (or if None is provided), the first colormap in the list will be selected by default. The active colormap cannot be removed. If the active colormap is a custom colormap, the remove button will be enabled but a dialog box will warn the user that the colormap cannot be removed. """ SIG_APPLY_COLORMAP = QC.Signal(str, bool) def __init__( self, parent: QW.QWidget | None = None, active_colormap: str | None = None, invert: bool = False, ) -> None: super().__init__(parent) self.setWindowIcon(get_icon("cmap_edit.png")) self.setWindowTitle(_("Colormap manager")) self.active_cmap_name = default_colormap = active_colormap self.__returned_colormap: EditableColormap | None = None self.__returned_invert: bool = invert if default_colormap is None or not cmap_exists(default_colormap, ALL_COLORMAPS): default_colormap = next(iter(ALL_COLORMAPS)) # Select the active colormap self._cmap_choice = QW.QComboBox() self._cmap_choice.setMaxVisibleItems(15) for cmap in ALL_COLORMAPS.values(): icon = build_icon_from_cmap( cmap, LARGE_ICON_WIDTH, LARGE_ICON_HEIGHT, LARGE_ICON_ORIENTATION, 1 ) self._cmap_choice.addItem(icon, cmap.name, cmap) self._cmap_choice.setIconSize(QC.QSize(LARGE_ICON_WIDTH, LARGE_ICON_HEIGHT)) self._cmap_choice.setCurrentText(default_colormap) add_btn = QW.QPushButton(get_icon("edit_add.png"), _("Add") + "...") add_btn.clicked.connect(self.add_colormap) self._remove_btn = QW.QPushButton(get_icon("delete.png"), _("Remove") + "...") is_custom_cmap = cmap_exists(default_colormap, CUSTOM_COLORMAPS) self._remove_btn.setEnabled(is_custom_cmap) self._remove_btn.clicked.connect(self.remove_colormap) self._invert_checkbox = QW.QCheckBox(_("Invert colormap")) self._invert_checkbox.setChecked(invert) self._invert_checkbox.toggled.connect(self._on_invert_toggled) select_gbox = QW.QGroupBox(_("Select or create a colormap")) select_label = QW.QLabel(_("Colormap presets:")) select_gbox_layout = QW.QHBoxLayout() select_gbox_layout.addWidget(select_label) select_gbox_layout.addWidget(self._cmap_choice) select_gbox_layout.addSpacing(10) select_gbox_layout.addWidget(add_btn) select_gbox_layout.addWidget(self._remove_btn) select_gbox_layout.addSpacing(10) select_gbox_layout.addWidget(self._invert_checkbox) select_gbox.setLayout(select_gbox_layout) # Edit the selected colormap current_cmap = self._cmap_choice.currentData() # This test is necessary because the currentData method returns a QVariant # object, which may be handled differently by PyQt5, PySide2 and PySide6. # This is an attempt to fix an issue with PySide6 (segfault). if isinstance(current_cmap, EditableColormap): current_cmap = deepcopy(current_cmap) else: current_cmap = None self.colormap_editor = ColorMapEditor(self, colormap=current_cmap) # Apply initial invert state to the colormap preview if invert: cmap = self.colormap_editor.get_colormap() if cmap is not None: cmap.invert = True self.colormap_editor.colormap_widget.COLORMAP_CHANGED.emit() self._edit_gbox = QW.QGroupBox(_("Edit the selected colormap")) edit_gbox_layout = QW.QVBoxLayout() edit_gbox_layout.setContentsMargins(0, 0, 0, 0) edit_gbox_layout.addWidget(self.colormap_editor) self._edit_gbox.setLayout(edit_gbox_layout) self._edit_gbox.setCheckable(True) self._edit_gbox.setChecked(False) self.colormap_editor.colormap_widget.COLORMAP_CHANGED.connect( self._changes_not_saved ) self._cmap_choice.currentIndexChanged.connect(self.set_colormap) self.bbox = QW.QDialogButtonBox( QW.QDialogButtonBox.Apply | QW.QDialogButtonBox.Save | QW.QDialogButtonBox.Ok | QW.QDialogButtonBox.Cancel ) self._changes_saved = True self._save_btn = self.bbox.button(QW.QDialogButtonBox.Save) self._save_btn.setEnabled(False) # type: ignore self._apply_btn = self.bbox.button(QW.QDialogButtonBox.Apply) self._apply_btn.setEnabled(False) # type: ignore self.bbox.clicked.connect(self.button_clicked) dialog_layout = QW.QVBoxLayout() dialog_layout.addWidget(select_gbox) dialog_layout.addWidget(self._edit_gbox) dialog_layout.addWidget(self.bbox) self.setLayout(dialog_layout) # The dialog needs to be resizable horizontally but not vertically: self.setFixedHeight(self.sizeHint().height()) def button_clicked(self, button: QW.QAbstractButton) -> None: """Callback function to be called when a button is clicked. Args: button: button clicked """ if button is self._apply_btn: if not self.current_changes_saved and not self.save_colormap(): return self._apply_btn.setEnabled(False) self.SIG_APPLY_COLORMAP.emit( self.colormap_editor.get_colormap().name, self._invert_checkbox.isChecked(), ) elif button is self._save_btn: self.save_colormap() elif self.bbox.buttonRole(button) == QW.QDialogButtonBox.AcceptRole: self.accept() else: self.reject() def _on_invert_toggled(self, checked: bool) -> None: """Callback for the 'Invert colormap' checkbox toggle. Inversion is a display parameter independent of the colormap definition, so toggling it only updates the preview without marking the colormap as having unsaved changes. Args: checked: True if the checkbox is checked, False otherwise. """ self.__returned_invert = checked cmap = self.colormap_editor.get_colormap() if cmap is not None: cmap.invert = checked self.colormap_editor.colormap_widget.draw_colormap_image() def _changes_not_saved(self) -> None: """Callback function to be called when the colormap is modified. Enables the save button and sets the current_changes_saved attribute to False.""" self._save_btn.setEnabled(True) # type: ignore self._apply_btn.setEnabled(True) # type: ignore self._changes_saved = False @property def current_changes_saved(self) -> bool: """Getter to know if the current colormap has been saved or not. Returns: True if the current colormap has been saved, False otherwise. """ return self._changes_saved def set_colormap(self, index: int) -> None: """Set the current colormap to the value present at the given index in the QComboBox. Makes a copy of the colormap object so the ColorMapEditor does not mutate the original colormap object. Args: index: index of the colormap in the QComboBox. """ cmap_copy: EditableColormap = deepcopy(self._cmap_choice.itemData(index)) cmap_copy.invert = self._invert_checkbox.isChecked() self.colormap_editor.set_colormap(cmap_copy) is_custom_cmap = cmap_exists(cmap_copy.name, CUSTOM_COLORMAPS) self._remove_btn.setEnabled(is_custom_cmap) self._changes_saved = True is_new_colormap = not cmap_exists(cmap_copy.name) self._save_btn.setEnabled(is_new_colormap) # type: ignore def get_colormap(self) -> EditableColormap | None: """Return the selected colormap object. Returns: selected colormap object """ return self.__returned_colormap def get_invert(self) -> bool: """Return the current state of the 'Invert colormap' checkbox. Returns: True if the colormap should be inverted, False otherwise. """ return self.__returned_invert def __get_new_colormap_name(self, title: str, name: str) -> str | None: """Return a new colormap name that does not already exists in the list of colormaps. Args: title: title of the current action name: colormap name to check Returns: new colormap name, or None if the user canceled the action. """ new_name = name while True: new_name = ColorMapNameEdit.edit(self, title, new_name) if new_name is None: return None if cmap_exists(new_name, DEFAULT_COLORMAPS): QW.QMessageBox.warning( self, title, _( "Name %s is already used by a predefined colormap, and " "cannot be used for a custom colormap.

" "Please choose another name." ) % new_name, ) continue if cmap_exists(new_name, CUSTOM_COLORMAPS) and ( QW.QMessageBox.question( self, title, _( "Name %s is already used by a custom colormap.

" "Do you want to overwrite it?" ) % new_name, QW.QMessageBox.Yes | QW.QMessageBox.No, QW.QMessageBox.No, ) == QW.QMessageBox.No ): continue break return new_name def add_colormap(self) -> None: """Create a new colormap and set it as the current colormap.""" cmap = EditableColormap(QG.QColor(0), QG.QColor(4294967295), name=_("New")) if self.save_colormap(cmap): # If the colormap save dialog was accepted, then we enable the colormap # editor group box. # Otherwise, we leave the colormap editor group box at its current state. self._edit_gbox.setChecked(True) def remove_colormap(self) -> None: """Remove the current colormap.""" cmap = self.colormap_editor.get_colormap() if cmap is None: return name = cmap.name if name == self.active_cmap_name or cmap_exists(name, DEFAULT_COLORMAPS): if execenv.unattended: # For testing purposes only return if name == self.active_cmap_name: msg = _("Colormap %s is the active colormap.") else: msg = _("Colormap %s is a predefined colormap.") QW.QMessageBox.warning( self, _("Remove"), msg % name + "
" + _("Thus, this colormap cannot be removed."), QW.QMessageBox.Ok, ) return if execenv.unattended: # For testing purposes only if not execenv.accept_dialogs: return elif ( QW.QMessageBox.question( self, _("Remove"), _("Do you want to delete colormap %s?") % name, QW.QMessageBox.Yes | QW.QMessageBox.No, QW.QMessageBox.No, ) == QW.QMessageBox.No ): return delete_cmap(cmap) current_index = self._cmap_choice.currentIndex() self._cmap_choice.removeItem(current_index) self._changes_saved = True self._save_btn.setEnabled(False) self._cmap_choice.setCurrentIndex(max(current_index - 1, 0)) def save_colormap(self, cmap: EditableColormap | None = None) -> bool: """Saves the current colormap and handles the validation process. The saved colormaps can only be saved in the custom colormaps. Args: cmap: colormap to save. If None, will use the current colormap. Returns: True if the colormap has been saved, False otherwise. """ if cmap is None: cmap = self.colormap_editor.get_colormap() title = _("Save colormap") else: title = _("Add colormap") new_name = self.__get_new_colormap_name(title, cmap.name) if new_name is None: return False # Before modifying CUSTOM_COLORMAPS, save this boolean expression: is_existing_custom_cmap = cmap_exists(new_name, CUSTOM_COLORMAPS) # Take into account the case where the color map exists in custom colormaps # but not with the same case (e.g. "viridis" vs "Viridis"). So we need to # get the original name of the colormap: if is_existing_custom_cmap: new_name = get_cmap(new_name).name cmap.name = new_name add_cmap(cmap) icon = build_icon_from_cmap( cmap, LARGE_ICON_WIDTH, LARGE_ICON_HEIGHT, LARGE_ICON_ORIENTATION, 1 ) if is_existing_custom_cmap: self._cmap_choice.setCurrentText(new_name) current_index = self._cmap_choice.currentIndex() self._cmap_choice.setItemData(current_index, cmap) self._cmap_choice.setItemIcon(current_index, icon) else: self._cmap_choice.addItem(icon, new_name, cmap) self._cmap_choice.setCurrentText(new_name) self._save_btn.setEnabled(False) # type: ignore self._changes_saved = True return True def accept(self) -> None: """Adds logic on top of the normal QDialog.accept method to handle colormap save. """ if not self.current_changes_saved and not self.save_colormap(): return self.__returned_colormap = self.colormap_editor.get_colormap() super().accept() PlotPyStack-PlotPy-2af0906/plotpy/widgets/colormap/widget.py000066400000000000000000000604241525747167300242020ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Colormap widget --------------- This module provides a basic widget to edit a colormap that contains a multi-slider and a colorap representation. Reference ~~~~~~~~~ .. autoclass:: EditableColormap :members: .. autoclass:: ColorMapWidget :members: """ from __future__ import annotations from typing import Sequence, Tuple, TypeVar, Union import numpy as np import qtpy.QtCore as QC import qtpy.QtGui as QG import qtpy.QtWidgets as QW from guidata.qthelpers import add_actions, create_action from qwt import QwtInterval, QwtLinearColorMap, toQImage from qwt.color_map import ColorStop from plotpy.config import _ from plotpy.widgets.colormap._slider import QColorMapSlider #: Type variable for color types ColorTypeT = TypeVar("ColorTypeT", bound=Union[QG.QColor, int]) #: Type for color initialization types QColorInitTypes = Union[ QG.QColor, int, Tuple[int, int, int, int], str, QC.Qt.GlobalColor, None ] class EditableColormap(QwtLinearColorMap): """Overload of the QwtLinearColorMap class to add some features. This class is temporary and should be removed when its features are added to QwtPython. Args: *args: QwtLinearColorMap arguments name: Optional str name given to the colormap. Useful for the interactions with the rest of PlotPy, notably with the gobal colormaps dictionaries such as colormaps.ALL_COLORMAPS. If None, the colormap name will be set to "temporary". Defaults to None. """ def __init__(self, *args, name: str | None = None) -> None: super().__init__(*args) self.name = name or "temporary" self.invert = False def __deepcopy__(self, memo: dict[int, object]) -> EditableColormap: """Deepcopy method to copy the colormap object. Args: memo: dict to store the copied objects Returns: New EditableColormap instance. """ new_instance = EditableColormap(self.color1(), self.color2(), name=self.name) for stop in self.colorStops(): stop: ColorStop new_instance.addColorStop(stop.pos, stop.rgb) return new_instance def rgb(self, interval: QwtInterval, value: float) -> int: """Returns the color of the colormap at the given value. This overriden method is used to add the possibility to invert the colormap colors. Args: interval: QwtInterval of the colormap value: value to get the color from Returns: Color of the colormap at the given value. """ if self.invert: return super().rgb( interval, interval.maxValue() - value + interval.minValue() ) return super().rgb(interval, value) @property def color_stop_values(self) -> list[float]: """Returns the position values of the color stops. Returns: List of color stop positions. """ return [stop.pos for stop in self.colorStops()] def is_boundary_stop_index(self, stop_index: int) -> bool: """Checks if the given index is a boundary index (first or last). Args: stop_index: stop color index to check Returns: True if the index is a boundary index, False otherwise. """ return not ( self._can_update_next_stop(stop_index) and self._can_update_previous_stop(stop_index) ) def _can_update_next_stop(self, stop_index: int) -> bool: """Checks if the next color stop can be updated. Args: stop_index: current color stop index Returns: True if the next color stop can be updated, False otherwise. """ return stop_index < (len(self.colorStops()) - 1) def _can_update_previous_stop(self, stop_index: int) -> bool: """Checks if the previous color stop can be updated. Args: stop_index: current color stop index Returns: True if the previous color stop can be updated, False otherwise. """ return stop_index > 0 def update_stops_steps(self, stop_index: int) -> None: """Updates the steps of the previous and next color stops of the given index. The steps are the distance between the current stop and the next color stop. This method can update the given color stop index, the previous one and the next stop if necessary. Args: stop_index: current color stop index to update. """ current_stop = self.colorStops()[stop_index] if self._can_update_previous_stop(stop_index): prev_stop: ColorStop = self.colorStops()[stop_index - 1] prev_stop.updateSteps(current_stop) if self._can_update_next_stop(stop_index): next_stop: ColorStop = self.colorStops()[stop_index + 1] current_stop.updateSteps(next_stop) @classmethod def from_iterable( cls, iterable: Sequence[tuple[float, str]], name=None ) -> "EditableColormap": """Converts the given iterable of tuples to a colormap (instance of Self). The iterable must be at least of length 2. If the iterable is of length 1, the colormap will be composed of two identical colors. If the iterable is empty, the colormap will be composed of two default colors (blue and yellow). Args: iterable: Iterable of tuples composed of a float position and a hex color string. name: Name of the new colormap instance. Defaults to None. Returns: New CustomQwtLinearColormap instance. """ if len(iterable) == 1: iterable = (iterable[0],) * 2 elif len(iterable) == 0: iterable = ( (0.0, QG.QColor(QC.Qt.GlobalColor.blue)), (1.0, QG.QColor(QC.Qt.GlobalColor.yellow)), ) color_min, color_max = iterable[0][1], iterable[-1][1] colormap = cls(color_min, color_max, name=name) pos_min, pos_max = iterable[0][0], iterable[-1][0] for position, color in iterable[1:-1]: scaled_position = (position - pos_min) / pos_max colormap.addColorStop(scaled_position, color) return colormap def to_tuples(self) -> tuple[tuple[float, str], ...]: """Converts a colormap to a tuple of tuples composed of a float position and a hex color string. Returns: Tuple of tuples composed of a float position and a hex color string. """ return tuple( (stop.pos, QG.QColor(stop.rgb).name()) for stop in self.colorStops() ) def move_color_stop( self, stop_index: int, new_pos: float, new_color: QG.QColor | None = None ) -> None: """Moves a color stop to a new position and updates the steps of the previous and next color stops if necessary. Mutates the colormap object! Args: stop_index: color stop index to move new_pos: new color stop position new_color: new color stop color. If None, will use the current stop color. Defaults to None. """ try: stop: ColorStop | None = self.colorStops()[stop_index] except IndexError as e: print(e) return if stop is None: print("No Colorstops set, aborting edition.") return new_color = new_color or QG.QColor(stop.rgb) new_stop = ColorStop(new_pos, new_color) self.colorStops()[stop_index] = new_stop self.update_stops_steps(stop_index) def delete_stop(self, stop_index: int) -> None: """Deletes the color stop at given index and updates the previous color stop steps if necessary. Mutates the colormap object! Args: stop_index: color stop index to delete """ if not self.is_boundary_stop_index(stop_index): cstops: list[ColorStop] = self.colorStops() cstops.pop(stop_index) cstops[stop_index - 1].updateSteps(cstops[stop_index]) def get_stop_color(self, index: int) -> QG.QColor: """Returns the color of the given color stop index. Args: index: color stop index Returns: Color of the given color stop index. """ index = min(index, len(self.colorStops())) cstop: ColorStop = self.colorStops()[index] return QG.QColor(cstop.rgb) class ColorMapWidget(QW.QWidget): """Simple colormap widget containing a horizontal slider and a colorbar image. The slider is used to edit the colormap that changes in real time. It is possible to add/remove handles by right-clicking on the colorbar image. This widget does not provide a way to change a handle color. For this, use the ColorMapEditor widget or the ColorMapManager widget. Args: parent: parent widget cmap_width: minimum width of the widget. Defaults to 400. cmap_height: minimum height of the colorbar. Defaults to 50. color1: first color. Ignored if the 'colormap' argument is used. If None, default color is blue. Defaults to None. color2: second color. Ignored if the 'colormap' argument is used. If None, default color is yellow. Defaults to None. colormap: colormap instance. If None, color1 and color2 will be used to create a new colormap. Defaults to None. """ COLORMAP_CHANGED = QC.Signal() # type: ignore HANDLE_SELECTED = QC.Signal(int) # type: ignore HANDLE_ADDED = QC.Signal(int, float) # type: ignore HANDLE_DELETED = QC.Signal(int) # type: ignore def __init__( self, parent: QW.QWidget | None, cmap_width: int = 400, cmap_height: int = 50, color1: QG.QColor | None = None, color2: QG.QColor | None = None, colormap: EditableColormap | None = None, ) -> None: super().__init__(parent) self.cmap_width = cmap_width self.cmap_height = cmap_height self.min, self.max = 0.0, 1.0 self._tolerance = 0.05 self._px_cursor_offset = 0 # This is a patch because the cursor position is # not exactly the handle position... self._handle_selected = None self.slider_menu = self.setup_menu() multi_range_hslider = QColorMapSlider(QC.Qt.Orientation.Horizontal) multi_range_hslider.setTickPosition(QW.QSlider.TickPosition.TicksAbove) multi_range_hslider.setBarVisible(False) multi_range_hslider.setMinimum(self.min) multi_range_hslider.setMaximum(self.max) multi_range_hslider.setMaximumHeight(20) self.multi_range_hslider = multi_range_hslider self.set_handles_values((self.min, self.max)) self.setContextMenuPolicy(QC.Qt.ContextMenuPolicy.CustomContextMenu) self._last_selection: tuple[int, int] = 0, 0 self.qwt_color_interval = QwtInterval(self.min, self.max) if colormap is None: color1 = QG.QColor(QC.Qt.GlobalColor.blue) if color1 is None else color1 color2 = QG.QColor(QC.Qt.GlobalColor.yellow) if color2 is None else color2 self._colormap = EditableColormap(color1, color2) else: self._colormap = colormap self.set_handles_values(colormap.color_stop_values) self.colortable = self._colormap.colorTable(self.qwt_color_interval) colormap_label = QW.QLabel("Stylish colormap widget") colormap_label.setScaledContents(True) self._colormap_label = colormap_label self.draw_colormap_image() layout = QW.QVBoxLayout(self) layout.addWidget(colormap_label) layout.addWidget(multi_range_hslider) self.range_layout = layout self.setLayout(layout) self.setToolTip(_("Right click to add/remove a color")) self.COLORMAP_CHANGED.connect(self.draw_colormap_image) self.multi_range_hslider.valueChanged.connect( self._edit_color_map_on_slider_change ) self.multi_range_hslider.sliderPressed.connect(self.emit_handle_selected) self.multi_range_hslider.sliderReleased.connect(self.release_handle) self.customContextMenuRequested.connect(self.open_slider_menu) def set_colormap(self, colormap: EditableColormap) -> None: """Replaces the current colormap. Args: colormap: replacement colormap """ self._colormap = colormap self.set_handles_values(colormap.color_stop_values) self.COLORMAP_CHANGED.emit() def get_colormap(self) -> EditableColormap: """Get the current colormap being edited. Returns: current colormap """ return self._colormap def update_color_table(self) -> None: """Updates and caches the current color table.""" self.colortable[:] = self._colormap.colorTable(self.qwt_color_interval) def emit_handle_selected(self) -> None: """When called, computes a slider position from the current position of the mouse and maps it to slider range. Then finds which handles was selected and emits the custom signal HANDLE_SELECTED(handle_index) and caches the index.""" self._handle_selected = self.multi_range_hslider.pressed_index self.HANDLE_SELECTED.emit(self._handle_selected) def release_handle(self) -> None: """When called, unset the cached current handle index.""" self._handle_selected = None def draw_colormap_image(self) -> None: """Recomputes and redraws the colorbar image.""" # TODO: check how to update the image without having to recreate one, # just by updating the colortable self.update_color_table() self._colormap_label.setPixmap(self.cmap_to_qimage()) def get_color_from_value( self, value: float, as_type: type[ColorTypeT] = QG.QColor ) -> ColorTypeT: """Returns the color assigned to a given value using the current colormap. Args: value: value to assign a color to as_type: Color type to be returned (int or QG.QColor). Defaults to QG.QColor. Returns: The assigned color for the input value using the current colormap. """ int_color = self._colormap.rgb(self.qwt_color_interval, value) return as_type(int_color) def get_handle_color( self, handle_index: int, as_type: type[ColorTypeT] = QG.QColor ) -> ColorTypeT: """Returns the color of a handled using its index. Directly return the color of the ColorStop object of the given index. Args: handle_index: index of the handled to assign a color too. as_type: Color type to be returned (int or QG.QColor). Defaults to QG.QColor. Returns: The assigned color for the input handle index using the current colormap. """ int_color = self._colormap.get_stop_color(handle_index) return as_type(int_color) def get_hex_color(self, handle_index: int) -> str: """Same as self.get_handle_color but returns the color as a hex color string. Args: handle_index: index of the handled to assign a color too. Returns: Handle's hex color string """ return self.get_handle_color(handle_index, QG.QColor).name() def edit_color_stop( self, index: int, new_pos: float | None = None, new_color: QG.QColor | int | None = None, ) -> None: """Edit an existing color stop in the current colormap. Mutates the colormap object. Also edits the slider handle position. Args: index: color stop index to mutate new_pos: new color stop position. If not set will remain the same. Defaults to None. new_color: new color. If not set will remain the same. Defaults to None. """ if new_pos is None: new_pos = self.get_handles_tuple()[index] if isinstance(new_color, int): new_color = QG.QColor(self.colortable[new_color]) self._colormap.move_color_stop(index, new_pos, new_color) self.set_handles_values(self._colormap.color_stop_values) self.COLORMAP_CHANGED.emit() def _edit_color_map_on_slider_change(self, raw_values: tuple[float, ...]) -> None: """Modifies the colormap depending on the currently selected handle. Tiggered on hanle movement. Args: raw_values: tuple of handles position """ handle_index = self._handle_selected values = self.multi_range_hslider.filter_first_last_positions(raw_values) if handle_index is not None: handle_pos = values[handle_index] if handle_index == 0 or handle_index == len(values): return self._colormap.move_color_stop(handle_index, handle_pos) self.COLORMAP_CHANGED.emit() def _get_closest_handle_index(self, pos: float) -> tuple[int, float]: """Return the index of the closest handle from the given position Args: pos: position along the slider axis and coordinate space Returns: index and distance of the closest point (distance can be negative) """ values = self.get_handles_tuple() closest_handle = min(range(len(values)), key=lambda i: abs(values[i] - pos)) return closest_handle, abs(pos - values[closest_handle]) def _get_neighbour_positions(self, pos: float) -> tuple[float, float]: """Return the positions of the previous and next handles from the given position. If no handle is found, the method can return self.min and/or self.max Args: pos: position from which to look for the previous and next handles Returns: previous and next handle positions """ values = self.get_handles_tuple() previous_pos = max( filter(lambda val: val <= pos, values[::-1]), default=self.min ) next_pos = min(filter(lambda val: val > pos, values), default=self.max) return previous_pos, next_pos def _new_available_pos(self, pos: float) -> float: """Computes the most position to insert a new handle. This method takes into account the input position, the prefered offset if handles are too close, previous and next handles from the current position to output the best position possible. Args: pos: requested position Returns: Best position for insertion according to parameters cited above. """ previous_pos, next_pos = self._get_neighbour_positions(pos) if (neighbour_diff := next_pos - previous_pos) < self._tolerance * 2: return previous_pos + (neighbour_diff / 2) if (pos - previous_pos) < self._tolerance: return previous_pos + self._tolerance if (next_pos - pos) < self._tolerance: return next_pos - self._tolerance return pos def _add_handle_at_click(self) -> None: """Adds a new handle at last right-clicked position thanks to the attribute self._last_selection. Mutates the colormap object. """ x, _ = self._last_selection new_handle_value = self.multi_range_hslider.widget_pos_to_value(x) values = self.get_handles_list() new_handle_value = self._new_available_pos(new_handle_value) new_color = self.get_color_from_value(new_handle_value) self._colormap.addColorStop(new_handle_value, new_color) values.append(new_handle_value) values.sort() self.set_handles_values(values) self.HANDLE_ADDED.emit(values.index(new_handle_value), new_handle_value) def _delete_handle_at_click(self) -> None: """Tries to delete an existing handle at the right-clicked position thanks to the attribute self._last_selection. Does nothing if the click is too far from a handle. Mutates the colormap object. """ x, _ = self._last_selection values: list[float] = self.get_handles_list() x_handle_coor_space = self.multi_range_hslider.widget_pos_to_value(x) closest_handle_index, click_distance = self._get_closest_handle_index( x_handle_coor_space ) if ( abs(click_distance) > self._tolerance or len(values) <= 2 or closest_handle_index in (0, len(values) - 1) ): return values.pop(closest_handle_index) self.set_handles_values(tuple(values)) self._colormap.delete_stop(closest_handle_index) self.HANDLE_DELETED.emit(closest_handle_index) self.COLORMAP_CHANGED.emit() def setup_menu(self) -> QW.QMenu: """Setups the contextual menu used to insert and delete handles. Returns: Colorbar contextual menu """ new_handle_action = create_action( self, title=_("Add new color"), icon=None, triggered=self._add_handle_at_click, ) delete_handle_action = create_action( self, title=_("Remove color"), icon=None, triggered=self._delete_handle_at_click, ) actions = (new_handle_action, delete_handle_action) menu = QW.QMenu(self) add_actions(menu, actions) return menu def add_handle_at_relative_pos( self, relative_pos: float, new_color: QG.QColor | int | None = None ) -> None: """Insert a handle in the widget at the relative position (between 0. and 1.). Mutates the colormap object. If the relative position is already occupied by a handle, the new handle will be inserted at the closest available position then will be moved back to the requested position. Args: relative_pos: insertion position """ if new_color is None: new_color = self._colormap.color(self.qwt_color_interval, relative_pos) new_relative_pos = self._new_available_pos(relative_pos) self._colormap.addColorStop(new_relative_pos, new_color) values = self.get_handles_list() values.append(new_relative_pos) values.sort() new_value_index = values.index(new_relative_pos) self.edit_color_stop(new_value_index, relative_pos, None) self.HANDLE_ADDED.emit(new_value_index, relative_pos) def get_handles_count(self) -> int: """Number of slider handles. Returns: handles count """ return len(self.multi_range_hslider.value()) def get_handles_list(self) -> list[float]: """Return the current handles as a mutable list. If the data doesn't need to be mutated, prefer the method self.get_handles_tuple() that directly returns the handles tuple without making a conversion to a list. Returns: Mutable list of handles position """ return list(self.multi_range_hslider.value()) def get_handles_tuple(self) -> tuple[float, ...]: """Passthrough to get the tuple of handles position. Returns: Immutable tuple of handles position """ return self.multi_range_hslider.value() def set_handles_values(self, values: Sequence[float]) -> None: """Passthrough to set handles position. Args: values: sequence of values with a minimum length of 2 (min and max). """ self.multi_range_hslider.setValue(values) def cmap_to_qimage(self) -> QG.QPixmap: """Build the horizontal colorab pixmap from the current colormap.""" data = np.zeros((self.cmap_height, self.cmap_width), np.uint8) line = np.linspace(0, 255, self.cmap_width) data[:, :] = line[np.newaxis, :] img = toQImage(data) img.setColorTable(self.colortable) return QG.QPixmap.fromImage(img) def open_slider_menu(self, pos: QC.QPoint) -> None: """Opens the contextual menu at input position. Args: pos: contextual menu position """ slider_pos = self.multi_range_hslider.mapFrom(self, pos) self._last_selection = ( slider_pos.x(), slider_pos.y(), ) glob_pos = self.mapToGlobal(pos) self.slider_menu.popup(glob_pos) PlotPyStack-PlotPy-2af0906/plotpy/widgets/fit.py000066400000000000000000000756211525747167300216720ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) # pylint: disable=C0103 """ Curve fitting widgets ===================== Overview -------- The :mod:`.widgets.fit` module provides interactive curve fitting widgets allowing: * to fit data manually (by moving sliders) * or automatically (with standard optimization algorithms provided by `scipy`). The :func:`guifit` function is a factory function that returns a dialog box allowing to fit data with a given function. Example ------- Here is an example of use of the :func:`guifit` function: .. literalinclude:: ../../plotpy/tests/features/test_fit.py :start-after: guitest: .. image:: /images/screenshots/fit.png Reference --------- .. autofunction:: guifit .. autoclass:: FitDialog :members: .. autoclass:: FitParam :members: .. autoclass:: AutoFitParam :members: """ from __future__ import annotations from collections.abc import Callable from typing import TYPE_CHECKING, Any import guidata import numpy as np from guidata.configtools import get_icon from guidata.dataset import ( BoolItem, ChoiceItem, DataSet, FloatItem, IntItem, StringItem, restore_dataset, update_dataset, ) from guidata.qthelpers import create_groupbox, exec_dialog # Do not remove this import (used by optimization funcs) from numpy import inf # noqa: F401 from qtpy import QtCore as QC from qtpy import QtWidgets as QW from qtpy.QtWidgets import QWidget # only to help intersphinx find QWidget from scipy.optimize import fmin, fmin_bfgs, fmin_cg, fmin_l_bfgs_b, fmin_powell, leastsq from plotpy.builder import make from plotpy.config import _ from plotpy.plot import PlotDialog, PlotOptions, PlotWidget if TYPE_CHECKING: from plotpy.items import XRangeSelection from plotpy.panels import PanelWidget class AutoFitParam(DataSet): """Automatic fit parameters""" xmin = FloatItem("xmin", default=0.0) xmax = FloatItem("xmax", default=1.0) method = ChoiceItem( _("Method"), [ ("simplex", "Simplex"), ("powel", "Powel"), ("bfgs", "BFGS"), ("l_bfgs_b", "L-BFGS-B"), ("cg", _("Conjugate Gradient")), ("lq", _("Least squares")), ], default="lq", ) err_norm = StringItem( "enorm", default="2.0", help=_("for simplex, powel, cg and bfgs norm used by the error function"), ) xtol = FloatItem( "xtol", default=0.0001, help=_("for simplex, powel, least squares") ) ftol = FloatItem( "ftol", default=0.0001, help=_("for simplex, powel, least squares") ) gtol = FloatItem("gtol", default=0.0001, help=_("for cg, bfgs")) norm = StringItem( "norm", default="inf", help=_("for cg, bfgs. inf is max, -inf is min") ) class FitParamDataSet(DataSet): """Fit parameter dataset""" name = StringItem(_("Name"), default="") value = FloatItem(_("Value"), default=0.0) min = FloatItem(_("Min"), default=-1.0) max = FloatItem(_("Max"), default=1.0).set_pos(col=1) steps = IntItem(_("Steps"), default=5000) format = StringItem(_("Format"), default="%.3f").set_pos(col=1) logscale = BoolItem(_("Logarithmic"), _("Scale")) unit = StringItem(_("Unit"), default="").set_pos(col=1) locked = BoolItem(_("Fixed value during optimization"), _("Lock")) class FitParam: """Fit parameters Args: name: name of the parameter value: value of the parameter min: minimum value of the parameter max: maximum value of the parameter logscale: if True, the parameter is fitted in logscale. Default is False. steps: number of steps for the slider. Default is 5000. format: format of the parameter. Default is "%.3f". size_offset: size offset of the parameter. Default is 0. unit: unit of the parameter. Default is "". locked: if True, the parameter value is locked and will not be modified by the automatic fit. Default is False. """ def __init__( self, name: str, value: float, min: float, max: float, logscale: bool = False, steps: int = 5000, format: str = "%.3f", size_offset: int = 0, unit: str = "", locked: bool = False, ): self.name = name self.value = value self.min = min self.max = max self.logscale = logscale self.steps = steps self.format = format self.unit = unit self.locked = locked self.prefix_label = None self.lineedit = None self.unit_label = None self.slider = None self.button = None self._widgets = [] self._size_offset = size_offset self._refresh_callback = None self.dataset = FitParamDataSet(title=_("Curve fitting parameter")) def copy(self) -> FitParam: """Return a copy of this fitparam Returns: Copy of this fitparam """ return self.__class__( self.name, self.value, self.min, self.max, self.logscale, self.steps, self.format, self._size_offset, self.unit, self.locked, ) def create_widgets(self, parent: QWidget, refresh_callback: Callable) -> None: """Create widgets Args: parent: parent widget refresh_callback: callback function to refresh the plot """ self._refresh_callback = refresh_callback self.prefix_label = QW.QLabel() font = self.prefix_label.font() font.setPointSize(font.pointSize() + self._size_offset) self.prefix_label.setFont(font) self.button = QW.QPushButton() self.button.setIcon(get_icon("settings.png")) self.button.setToolTip( _("Edit '{name}' fit parameter properties").format(name=self.name) ) self.button.clicked.connect(lambda: self.edit_param(parent)) self.lineedit = QW.QLineEdit() self.lineedit.editingFinished.connect(self.line_editing_finished) self.unit_label = QW.QLabel(self.unit) self.slider = QW.QSlider() self.slider.setOrientation(QC.Qt.Horizontal) self.slider.setRange(0, self.steps - 1) self.slider.valueChanged.connect(self.slider_value_changed) self.update(refresh=False) self.add_widgets( [ self.prefix_label, self.lineedit, self.unit_label, self.slider, self.button, ] ) def add_widgets(self, widgets: list[QWidget]) -> None: """Add widgets Args: widgets: list of widgets to add """ self._widgets += widgets def get_widgets(self) -> list[QWidget]: """Get widgets Returns: List of widgets """ return self._widgets def set_scale(self, state: int) -> None: """Set scale Args: state: state """ self.logscale = state > 0 self.update_slider_value() def set_text(self, fmt: str = None) -> None: """Set text Args: fmt: format (default: None) """ style = "{}" if self.locked: style = "{} ๐Ÿ”’" self.prefix_label.setText(style.format(self.name)) if self.value is None: value_str = "" else: if fmt is None: fmt = self.format value_str = fmt % self.value self.lineedit.setText(value_str) is_disabled = bool( self.locked or (self.value == self.min and self.max == self.min) ) self.lineedit.setDisabled(is_disabled) def line_editing_finished(self): """Line editing finished""" try: self.value = float(self.lineedit.text()) except ValueError: self.set_text() self.update_slider_value() self._refresh_callback() def slider_value_changed(self, int_value: int) -> None: """Slider value changed Args: int_value: integer value """ if self.logscale: total_delta = np.log10(1 + self.max - self.min) self.value = ( self.min + 10 ** (total_delta * int_value / (self.steps - 1)) - 1 ) else: total_delta = self.max - self.min self.value = self.min + total_delta * int_value / (self.steps - 1) self.set_text() self._refresh_callback() def update_slider_value(self): """Update slider value""" if self.value is None or self.min is None or self.max is None: self.slider.setEnabled(False) if self.slider.parentWidget() and self.slider.parentWidget().isVisible(): self.slider.show() elif self.value == self.min and self.max == self.min: self.slider.hide() else: self.slider.setEnabled(not self.locked) if self.slider.parentWidget() and self.slider.parentWidget().isVisible(): self.slider.show() if self.logscale: value_delta = max([np.log10(1 + self.value - self.min), 0.0]) total_delta = np.log10(1 + self.max - self.min) else: value_delta = self.value - self.min total_delta = self.max - self.min intval = int(self.steps * value_delta / total_delta) self.slider.blockSignals(True) self.slider.setValue(intval) self.slider.blockSignals(False) def edit_param(self, parent: QWidget) -> None: """Edit param Args: parent: parent widget """ update_dataset(self.dataset, self) if self.dataset.edit(parent=parent): restore_dataset(self.dataset, self) if self.value > self.max: self.max = self.value if self.value < self.min: self.min = self.value self.update() def update(self, refresh: bool = True) -> None: """Update Args: refresh: refresh (default: True) """ self.unit_label.setText(self.unit) self.slider.setRange(0, self.steps - 1) self.update_slider_value() self.set_text() if refresh: self._refresh_callback() def add_fitparam_widgets_to( layout: QW.QGridLayout, fitparams: list[FitParam], refresh_callback: Callable, param_cols: int = 1, stretch_col: int = 1, ) -> None: """Add fitparam widgets to layout Args: layout: layout fitparams: list of fitparams refresh_callback: refresh callback param_cols: number of columns (default: 1) stretch_col: stretch column (default: 1) """ row_contents = [] row_nb = 0 col_nb = 0 for i, param in enumerate(fitparams): param.create_widgets(layout.parentWidget(), refresh_callback) widgets = param.get_widgets() w_colums = len(widgets) + 1 row_contents += [ (widget, row_nb, j + col_nb * w_colums) for j, widget in enumerate(widgets) ] col_nb += 1 if col_nb == param_cols: row_nb += 1 col_nb = 0 for widget, row, col in row_contents: layout.addWidget(widget, row, col) if fitparams: for col_nb in range(param_cols): layout.setColumnStretch(stretch_col + col_nb * w_colums, 5) if col_nb > 0: layout.setColumnStretch(col_nb * w_colums - 1, 1) class FitWidget(QWidget): """Fit widget Args: parent: parent widget (default: None) param_cols: number of columns (default: 1) legend_anchor: legend anchor (default: "TR") auto_fit: auto fit (default: False) """ SIG_TOGGLE_VALID_STATE = QC.Signal(bool) def __init__( self, parent: QWidget = None, param_cols: int = 1, legend_anchor: str = "TR", auto_fit: bool = False, ) -> None: super().__init__(parent) self.x = None self.y = None self.fitfunc = None self.fitargs = None self.fitkwargs = None self.fitparams = None self.autofit_prm = None self.data_curve = None self.fit_curve = None self.legend = None self.legend_anchor = legend_anchor self.xrange = None self.show_xrange = False self.param_cols = param_cols self.auto_fit_enabled = auto_fit self.button_list: list[QW.QPushButton] = [] self.params_layout: QW.QGridLayout = None self.plot_widget: PlotWidget = None self.setup_widget() def set_plot_widget(self, plot_widget: PlotWidget) -> None: """Set plot widget Args: plot_widget: plot widget """ self.plot_widget = plot_widget plot_widget.plot.SIG_RANGE_CHANGED.connect(self.range_changed) self.refresh() def resizeEvent(self, event) -> None: """Reimplement Qt method Args: event: event """ super().resizeEvent(event) if self.plot_widget is not None: self.plot_widget.plot.replot() def setup_widget(self) -> None: """Setup widget""" fit_layout = QW.QHBoxLayout() self.params_layout = QW.QGridLayout() params_group = create_groupbox( self, _("Fit parameters"), layout=self.params_layout ) if self.auto_fit_enabled: auto_group = self.create_autofit_group() fit_layout.addWidget(auto_group) fit_layout.addWidget(params_group) self.setLayout(fit_layout) def create_autofit_group(self) -> QW.QGroupBox: """Create autofit group Returns: Autofit group """ auto_button = QW.QPushButton(get_icon("apply.png"), _("Run"), self) auto_button.clicked.connect(self.autofit) autoprm_button = QW.QPushButton(get_icon("settings.png"), _("Settings"), self) autoprm_button.clicked.connect(self.edit_parameters) xrange_button = QW.QPushButton(get_icon("xrange.png"), _("Bounds"), self) xrange_button.setCheckable(True) xrange_button.toggled.connect(self.toggle_xrange) auto_layout = QW.QVBoxLayout() auto_layout.addWidget(auto_button) auto_layout.addWidget(autoprm_button) auto_layout.addWidget(xrange_button) self.button_list += [auto_button, autoprm_button, xrange_button] return create_groupbox(self, _("Automatic fit"), layout=auto_layout) # Public API --------------------------------------------------------------- def set_data( self, x: np.ndarray, y: np.ndarray, fitfunc: Callable = None, fitparams: list[FitParam] | None = None, fitargs: tuple | None = None, fitkwargs: dict | None = None, ) -> None: """Set fit data Args: x: x data y: y data fitfunc: fit function. Defaults to None. fitparams: fit parameters. Defaults to None. fitargs: fit args. Defaults to None. fitkwargs: fit kwargs. Defaults to None. """ if self.fitparams is not None and fitparams is not None: self.clear_params_layout() self.x = x self.y = y if fitfunc is not None: self.fitfunc = fitfunc if fitparams is not None: self.fitparams = fitparams if fitargs is not None: self.fitargs = fitargs if fitkwargs is not None: self.fitkwargs = fitkwargs self.autofit_prm = AutoFitParam(title=_("Automatic fitting options")) self.autofit_prm.xmin = x.min() self.autofit_prm.xmax = x.max() self.compute_imin_imax() if self.fitparams is not None and fitparams is not None: self.populate_params_layout() self.refresh() def set_fit_data( self, fitfunc: Callable, fitparams: list[FitParam], fitargs: tuple | None = None, fitkwargs: dict | None = None, ) -> None: """Set fit data Args: fitfunc: fit function fitparams: fit parameters fitargs: fit args. Defaults to None. fitkwargs: fit kwargs. Defaults to None. """ if self.fitparams is not None: self.clear_params_layout() self.fitfunc = fitfunc self.fitparams = fitparams self.fitargs = fitargs self.fitkwargs = fitkwargs self.populate_params_layout() self.refresh() def clear_params_layout(self) -> None: """Clear params layout""" for i, param in enumerate(self.fitparams): for widget in param.get_widgets(): if widget is not None: self.params_layout.removeWidget(widget) widget.hide() def populate_params_layout(self) -> None: """Populate params layout""" add_fitparam_widgets_to( self.params_layout, self.fitparams, self.refresh, param_cols=self.param_cols ) def get_fitfunc_arguments(self) -> tuple[list, dict]: """Return fitargs and fitkwargs Returns: Fitargs and fitkwargs """ fitargs = self.fitargs if self.fitargs is None: fitargs = [] fitkwargs = self.fitkwargs if self.fitkwargs is None: fitkwargs = {} return fitargs, fitkwargs def refresh(self) -> None: """Refresh Fit Tool dialog box""" # Update button states enable = ( self.x is not None and self.y is not None and self.x.size > 0 and self.y.size > 0 and self.fitfunc is not None and self.fitparams is not None and len(self.fitparams) > 0 ) for btn in self.button_list: btn.setEnabled(enable) self.SIG_TOGGLE_VALID_STATE.emit(enable) if not enable: # Fit widget is not yet configured return fitargs, fitkwargs = self.get_fitfunc_arguments() yfit = self.fitfunc( self.x, [p.value for p in self.fitparams], *fitargs, **fitkwargs ) plot = self.plot_widget.plot if self.legend is None: self.legend = make.legend(anchor=self.legend_anchor) plot.add_item(self.legend) if self.xrange is None: self.xrange = make.xrange(0.0, 1.0) plot.add_item(self.xrange) self.xrange.set_range(self.autofit_prm.xmin, self.autofit_prm.xmax) self.xrange.setVisible(self.show_xrange) if self.data_curve is None: self.data_curve = make.curve([], [], _("Data"), color="b", linewidth=2.0) plot.add_item(self.data_curve) self.data_curve.set_data(self.x, self.y) if self.fit_curve is None: self.fit_curve = make.curve([], [], _("Fit"), color="r", linewidth=2.0) plot.add_item(self.fit_curve) self.fit_curve.set_data(self.x, yfit) plot.replot() plot.disable_autoscale() def range_changed( self, xrange_obj: XRangeSelection, xmin: float, xmax: float ) -> None: # pylint: disable=unused-argument """Range changed Args: xrange_obj: xrange object xmin: xmin xmax: xmax """ self.autofit_prm.xmin, self.autofit_prm.xmax = xmin, xmax self.compute_imin_imax() def toggle_xrange(self, state: bool) -> None: """Toggle xrange visibility Args: state: state """ self.xrange.setVisible(state) self.plot_widget.plot.replot() if state: self.plot_widget.plot.set_active_item(self.xrange) else: # If the button is unckeked then set to the complete range self.autofit_prm.xmin = self.x.min() self.autofit_prm.xmax = self.x.max() self.xrange.set_range(self.autofit_prm.xmin, self.autofit_prm.xmax) self.show_xrange = state def edit_parameters(self) -> None: """Edit fit parameters""" if self.autofit_prm.edit(parent=self): self.xrange.set_range(self.autofit_prm.xmin, self.autofit_prm.xmax) self.plot_widget.plot.replot() self.compute_imin_imax() def compute_imin_imax(self) -> None: """Compute i_min and i_max""" self.i_min = self.x.searchsorted(self.autofit_prm.xmin) self.i_max = self.x.searchsorted(self.autofit_prm.xmax, side="right") def get_full_params(self, free_params: np.ndarray) -> list[float]: """Build full parameter list from free parameters Args: free_params: values of unlocked parameters only Returns: Full parameter list with locked parameters at their fixed values """ full_params = [] free_idx = 0 for p in self.fitparams: if p.locked: full_params.append(p.value) else: full_params.append(free_params[free_idx]) free_idx += 1 return full_params def errorfunc(self, free_params: np.ndarray) -> np.ndarray: """Get error function Args: free_params: values of unlocked fit parameters Returns: Error function """ x = self.x[self.i_min : self.i_max] y = self.y[self.i_min : self.i_max] fitargs, fitkwargs = self.get_fitfunc_arguments() params = self.get_full_params(free_params) return y - self.fitfunc(x, params, *fitargs, **fitkwargs) def autofit(self) -> None: """Autofit""" meth = self.autofit_prm.method # Extract only unlocked parameters for optimization free_params = np.array([p.value for p in self.fitparams if not p.locked]) # If all parameters are locked, nothing to optimize if len(free_params) == 0: return if meth == "lq": x = self.autofit_lq(free_params) elif meth == "simplex": x = self.autofit_simplex(free_params) elif meth == "powel": x = self.autofit_powel(free_params) elif meth == "bfgs": x = self.autofit_bfgs(free_params) elif meth == "l_bfgs_b": x = self.autofit_l_bfgs(free_params) elif meth == "cg": x = self.autofit_cg(free_params) else: return # Restore optimized values only to unlocked parameters free_idx = 0 for p in self.fitparams: if not p.locked: p.value = x[free_idx] free_idx += 1 self.refresh() for prm in self.fitparams: prm.update() def get_norm_func(self) -> Callable: """Get norm function Returns: Norm function """ prm = self.autofit_prm err_norm = eval(prm.err_norm) def func(params): """ :param params: :return: """ err = np.linalg.norm(self.errorfunc(params), err_norm) return err return func def autofit_simplex(self, x0: np.ndarray) -> np.ndarray: """Autofit using simplex Args: x0: initial value Returns: Fitted values """ prm = self.autofit_prm x = fmin(self.get_norm_func(), x0, xtol=prm.xtol, ftol=prm.ftol) return x def autofit_powel(self, x0: np.ndarray) -> np.ndarray: """Autofit using Powell Args: x0: initial value Returns: Fitted values """ prm = self.autofit_prm x = fmin_powell(self.get_norm_func(), x0, xtol=prm.xtol, ftol=prm.ftol) return x def autofit_bfgs(self, x0: np.ndarray) -> np.ndarray: """Autofit using BFGS Args: x0: initial value Returns: Fitted values """ prm = self.autofit_prm x = fmin_bfgs(self.get_norm_func(), x0, gtol=prm.gtol, norm=eval(prm.norm)) return x def autofit_l_bfgs(self, x0: np.ndarray) -> np.ndarray: """Autofit using L-BFGS-B Args: x0: initial value Returns: Fitted values """ prm = self.autofit_prm # Build bounds only for unlocked parameters bounds = [(p.min, p.max) for p in self.fitparams if not p.locked] x, _f, _d = fmin_l_bfgs_b( self.get_norm_func(), x0, pgtol=prm.gtol, approx_grad=1, bounds=bounds ) return x def autofit_cg(self, x0: np.ndarray) -> np.ndarray: """Autofit using conjugate gradient Args: x0: initial value Returns: Fitted values """ prm = self.autofit_prm x = fmin_cg(self.get_norm_func(), x0, gtol=prm.gtol, norm=eval(prm.norm)) return x def autofit_lq(self, x0: np.ndarray) -> np.ndarray: """Autofit using leastsq Args: x0: initial value Returns: Fitted values """ prm = self.autofit_prm def func(params: list[float]) -> np.ndarray: """Error function Args: params: fit parameter values Returns: Error function """ err = self.errorfunc(params) return err x, _ier = leastsq(func, x0, xtol=prm.xtol, ftol=prm.ftol) return x def get_values(self) -> list[float]: """Convenience method to get fit parameter values Returns: Fit parameter values """ return [param.value for param in self.fitparams] class FitDialog(PlotDialog): """Fit dialog box Args: title: window title. Defaults to None. icon: window icon. Defaults to "plotpy.svg". edit: enable/disable edit menu. Defaults to True. toolbar: enable/disable toolbar. Defaults to False. auto_tools: enable/disable auto tools. Defaults to True. options: plot options. Defaults to None. parent: parent widget. Defaults to None. panels: list of panel widgets. Defaults to None. param_cols: number of columns for parameter table. Defaults to 1. legend_anchor: legend anchor. Defaults to "TR". auto_fit: enable/disable auto fit. Defaults to False. """ def __init__( self, title: str | None = None, icon: str = "plotpy.svg", edit: bool = True, toolbar: bool = False, auto_tools: bool = True, options: PlotOptions | dict[str, Any] | None = None, parent: QWidget | None = None, panels: list[PanelWidget] | None = None, param_cols: int = 1, legend_anchor: str = "TR", auto_fit: bool = False, ): super().__init__( title=title if title is not None else _("Curve fitting"), icon=icon, edit=edit, toolbar=toolbar, auto_tools=auto_tools, options=options, parent=parent, panels=panels, ) self.fit_widget = fitw = FitWidget( self, param_cols=param_cols, legend_anchor=legend_anchor, auto_fit=auto_fit, ) fitw.set_plot_widget(self.plot_widget) self.add_widget(self.fit_widget) ok_btn = self.button_box.button(QW.QDialogButtonBox.Ok) self.fit_widget.SIG_TOGGLE_VALID_STATE.connect(ok_btn.setEnabled) self.setWindowFlags(QC.Qt.Window) def set_data( self, x: np.ndarray, y: np.ndarray, fitfunc: Callable = None, fitparams: list[FitParam] | None = None, fitargs: tuple | None = None, fitkwargs: dict | None = None, ) -> None: """Set fit data Args: x: x data y: y data fitfunc: fit function. Defaults to None. fitparams: fit parameters. Defaults to None. fitargs: fit args. Defaults to None. fitkwargs: fit kwargs. Defaults to None. """ self.fit_widget.set_data(x, y, fitfunc, fitparams, fitargs, fitkwargs) def get_values(self) -> list[float]: """Returns fit parameter values Returns: Fit parameter values """ return self.fit_widget.get_values() def autofit(self) -> None: """Autofit""" self.fit_widget.autofit() def guifit( x: np.ndarray, y: np.ndarray, fitfunc: Callable, fitparams: list[FitParam] | None = None, fitargs: tuple | None = None, fitkwargs: dict | None = None, wintitle: str | None = None, title: str | None = None, xlabel: str | None = None, ylabel: str | None = None, param_cols: int = 1, auto_fit: bool = True, winsize: tuple[int, int] | None = None, winpos: tuple[int, int] | None = None, ) -> list[float] | None: """GUI-based curve fitting tool Args: x: x data y: y data fitfunc: fit function fitparams: fit parameters. Defaults to None. fitargs: fit args. Defaults to None. fitkwargs: fit kwargs. Defaults to None. wintitle: window title. Defaults to None. title: plot title. Defaults to None. xlabel: x label. Defaults to None. ylabel: y label. Defaults to None. param_cols: number of columns for fit parameters. Defaults to 1. auto_fit: auto fit. Defaults to True. winsize (tuple[int, int] | None): window size. Defaults to None. winpos (tuple[int, int] | None): window position. Defaults to None. Returns: Fit parameter values or None if the user cancels the dialog """ _app = guidata.qapplication() win = FitDialog( edit=True, title=wintitle, toolbar=True, param_cols=param_cols, auto_fit=auto_fit, options=PlotOptions(title=title, xlabel=xlabel, ylabel=ylabel, type="curve"), ) win.set_data(x, y, fitfunc, fitparams, fitargs, fitkwargs) if winsize is not None: win.resize(*winsize) if winpos is not None: win.move(*winpos) if exec_dialog(win): return win.get_values() if __name__ == "__main__": x = np.linspace(-10, 10, 1000) y = np.cos(1.5 * x) + np.random.rand(x.shape[0]) * 0.2 def fit(x: np.ndarray, params: list[float]) -> np.ndarray: """ Fit function Args: x: x data params: fit parameter values Returns: Fit values """ a, b = params return np.cos(b * x) + a a = FitParam("Offset", 1.0, 0.0, 2.0) b = FitParam("Frequency", 1.05, 0.0, 10.0, logscale=True) params = [a, b] values = guifit(x, y, fit, params, auto_fit=True) print(values) print([param.value for param in params]) PlotPyStack-PlotPy-2af0906/plotpy/widgets/fliprotate.py000066400000000000000000000205471525747167300232560ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Flip/rotate dialog ------------------ The `FlipRotate` module provides a dialog box providing essential GUI elements for rotating (arbitrary angle) and cropping an image: * :py:class:`.widgets.fliprotate.FlipRotateDialog`: dialog box * :py:class:`.widgets.fliprotate.FlipRotateWidget`: equivalent widget Reference ~~~~~~~~~ .. autoclass:: FlipRotateDialog :members: .. autoclass:: FlipRotateWidget :members: """ from __future__ import annotations from typing import TYPE_CHECKING, Any import numpy as np from guidata.configtools import get_icon from guidata.qthelpers import create_toolbutton, win32_fix_title_bar_background from qtpy import QtCore as QC from qtpy import QtWidgets as QW from qtpy.QtWidgets import QWidget # Helping out python_qt_documentation from plotpy.config import _ from plotpy.widgets import basetransform if TYPE_CHECKING: from plotpy.plot import PlotOptions from plotpy.plot.manager import PlotManager class FlipRotateTransform(basetransform.BaseTransform): """Rotate & Crop mixin class, to be mixed with a class providing the get_plot method, like PlotDialog or FlipRotateWidget (see below) Args: parent (QWidget): Parent widget manager (PlotManager): Plot manager """ def __init__(self, parent: FlipRotateWidget, manager: PlotManager) -> None: super().__init__(parent, manager) self.parent = parent self.manager = manager # ------BaseTransformMixin API---------------------------------------------- def apply_transformation(self) -> None: """Apply transformation, e.g. crop or rotate""" angle, hflip, vflip = self.parent.get_parameters() x, y, _a, px, py, _hf, _vf = self.item.get_transform() self.item.set_transform(x, y, angle * np.pi / 180, px, py, hflip, vflip) self.manager.get_plot().replot() def compute_transformation(self) -> np.ndarray: """Compute transformation, return compute output array Returns: Output array """ angle, hflip, vflip = self.parent.get_parameters() data = self.item.data.copy() if hflip: data = np.fliplr(data) if vflip: data = np.flipud(data) if angle: k = int((-angle % 360) / 90) data = np.rot90(data, k) return data class FlipRotateDialog(QW.QDialog): """Flip & Rotate Dialog Flip and rotate a :py:class:`.TrImageItem` plot item Args: parent: Parent widget title: Window title options: Options resize_to: Resize to (width, height) edit: Edit mode toolbar: Show toolbar """ def __init__( self, parent: QWidget, title: str | None = None, options: PlotOptions | dict[str, Any] | None = None, resize_to: tuple[int, int] | None = None, edit: bool = True, toolbar: bool = False, ) -> None: super().__init__(parent) win32_fix_title_bar_background(self) if resize_to is not None: width, height = resize_to self.resize(width, height) self.button_box = None if title is None: title = _("Flip & Rotate") self.setWindowTitle(title) self.widget = FlipRotateWidget(parent=parent, options=options, toolbar=toolbar) self.setWindowFlags(QC.Qt.WindowType.Window) buttonhlayout = QW.QHBoxLayout() self.add_buttons_to_layout(buttonhlayout, edit) dialogvlayout = QW.QVBoxLayout() dialogvlayout.addWidget(self.widget.plot_widget.toolbar) dialogvlayout.addWidget(self.widget) dialogvlayout.addLayout(buttonhlayout) self.setLayout(dialogvlayout) self.transform = self.widget.transform self.plot_widget = plot_widget = self.widget.plot_widget self.manager = plot_widget.manager self.toolbar = plot_widget.toolbar self.accepted.connect(self.transform.accept_changes) self.rejected.connect(self.transform.reject_changes) def add_buttons_to_layout(self, layout: QW.QBoxLayout, edit: bool) -> None: """Add buttons to layout Args: layout: Layout edit: Edit mode """ if edit: self.button_box = bbox = QW.QDialogButtonBox( QW.QDialogButtonBox.Ok | QW.QDialogButtonBox.Cancel ) bbox.accepted.connect(self.accept) bbox.rejected.connect(self.reject) layout.addWidget(bbox) class FlipRotateWidget(basetransform.BaseTransformWidget): """Flip & Rotate Widget Flip and rotate a :py:class:`.TrImageItem` plot item Args: parent: Parent widget toolbar: Show toolbar options: Plot options """ ROTATION_ANGLES = [str((i - 1) * 90) for i in range(4)] def __init__( self, parent: QWidget, toolbar: bool = False, options: PlotOptions | dict[str, Any] | None = None, ): self.angle_combo = None self.hflip_btn = None self.vflip_btn = None super().__init__(parent, toolbar=toolbar, options=options) self.transform = FlipRotateTransform(self, self.plot_widget.manager) self.manager = self.plot_widget.manager def add_buttons_to_layout(self, layout: QW.QBoxLayout) -> None: """Add tool buttons to layout Args: layout: Layout """ # Image orientation angle_label = QW.QLabel(_("Angle %s:") % "(ยฐ)") layout.addWidget(angle_label) self.angle_combo = QW.QComboBox(self) self.angle_combo.addItems(self.ROTATION_ANGLES) self.angle_combo.setCurrentIndex(1) self.angle_combo.currentIndexChanged.connect( lambda index: self.transform.apply_transformation() ) layout.addWidget(self.angle_combo) layout.addSpacing(10) # Image flipping flip_label = QW.QLabel(_("Flip:")) layout.addWidget(flip_label) hflip = create_toolbutton( self, text="", icon=get_icon("hflip.png"), toggled=lambda state: self.transform.apply_transformation(), autoraise=False, ) self.hflip_btn = hflip layout.addWidget(hflip) vflip = create_toolbutton( self, text="", icon=get_icon("vflip.png"), toggled=lambda state: self.transform.apply_transformation(), autoraise=False, ) self.vflip_btn = vflip layout.addWidget(vflip) layout.addSpacing(15) # self.add_reset_button(layout) basetransform.BaseTransformWidget.add_buttons_to_layout( self, layout, apply=False ) def apply_transformation(self) -> None: """Apply transformation""" self.transform.apply_transformation() def reset(self) -> None: """Reset transformation""" self.angle_combo.setCurrentIndex(1) self.hflip_btn.setChecked(False) self.vflip_btn.setChecked(False) def set_parameters(self, angle: float, hflip: bool, vflip: bool) -> None: """Set transform parameters Args: angle: Angle hflip: Horizontal flip vflip: Vertical flip """ angle_index = self.ROTATION_ANGLES.index(str(angle)) self.angle_combo.setCurrentIndex(angle_index) self.hflip_btn.setChecked(hflip) self.vflip_btn.setChecked(vflip) def get_parameters(self) -> tuple[float, bool, bool]: """Return transform parameters Returns: Tuple of angle, horizontal flip, vertical flip """ angle = int(str(self.angle_combo.currentText())) hflip = self.hflip_btn.isChecked() vflip = self.vflip_btn.isChecked() return angle, hflip, vflip class MultipleFlipRotateWidget(basetransform.BaseMultipleTransformWidget): """Multiple Flip & Rotate Widget Flip and rotate several :py:class:`.image.TrImageItem` plot items""" TRANSFORM_WIDGET_CLASS = FlipRotateWidget PlotPyStack-PlotPy-2af0906/plotpy/widgets/imagefile.py000066400000000000000000000140601525747167300230200ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Image file dialog helpers ------------------------- Overview ^^^^^^^^ The :py:mod:``.imagefile`` module provides helper functions for opening and saving image files using Qt dialogs and plotpy's I/O features. Ready-to-use open/save dialogs: :py:func:`.imagefile.exec_image_save_dialog` Executes an image save dialog box (QFileDialog.getSaveFileName) :py:func:`.imagefile.exec_image_open_dialog` Executes an image open dialog box (QFileDialog.getOpenFileName) :py:func:`.imagefile.exec_images_open_dialog` Executes an image*s* open dialog box (QFileDialog.getOpenFileNames) Reference ^^^^^^^^^ .. autofunction:: exec_image_save_dialog .. autofunction:: exec_image_open_dialog .. autofunction:: exec_images_open_dialog """ from __future__ import annotations import os.path as osp import sys import numpy as np from qtpy import QtWidgets as QW from qtpy.QtWidgets import QWidget # only to help intersphinx find QWidget from plotpy import io from plotpy.config import _ # =============================================================================== # Ready-to-use open/save dialogs # =============================================================================== def exec_image_save_dialog( parent: QWidget, data: np.ndarray, template: dict | None = None, basedir: str = "", app_name: str | None = None, ) -> str | None: """Executes an image save dialog box (QFileDialog.getSaveFileName) Args: parent: parent widget (None means no parent) data: image pixel array data template: image template (pydicom dataset) for DICOM files basedir: base directory ('' means current directory) app_name: application name (used as a title for an eventual error message box in case something goes wrong when saving image) Returns: Filename if dialog is accepted, None otherwise """ saved_in, saved_out, saved_err = sys.stdin, sys.stdout, sys.stderr sys.stdout = None filename, _filter = QW.QFileDialog.getSaveFileName( parent, _("Save as"), basedir, io.iohandler.get_filters("save", dtype=data.dtype, template=template), ) sys.stdin, sys.stdout, sys.stderr = saved_in, saved_out, saved_err if filename: filename = str(filename) kwargs = {} if osp.splitext(filename)[1].lower() == ".dcm": kwargs["template"] = template try: io.imwrite(filename, data, **kwargs) return filename except Exception as msg: import traceback traceback.print_exc() message = _("{filename} could not be written:\n{msg}").format( filename=osp.basename(filename), msg=msg ) QW.QMessageBox.critical( parent, _("Error") if app_name is None else app_name, message ) return def exec_image_open_dialog( parent: QWidget, basedir: str = "", app_name: str | None = None, to_grayscale: bool = True, dtype: np.dtype | None = None, ) -> tuple[str, np.ndarray] | None: """Executes an image open dialog box (QFileDialog.getOpenFileName) Args: parent: parent widget (None means no parent) basedir: base directory ('' means current directory) app_name: application name (used as a title for an eventual error message box in case something goes wrong when saving image) to_grayscale (bool | None): convert image to grayscale dtype: data type of the image Returns: (filename, data) tuple if dialog is accepted, None otherwise """ saved_in, saved_out, saved_err = sys.stdin, sys.stdout, sys.stderr sys.stdout = None filename, _filter = QW.QFileDialog.getOpenFileName( parent, _("Open"), basedir, io.iohandler.get_filters("load", dtype=dtype) ) sys.stdin, sys.stdout, sys.stderr = saved_in, saved_out, saved_err filename = str(filename) try: data = io.imread(filename, to_grayscale=to_grayscale) except Exception as msg: import traceback traceback.print_exc() message = _("{filename} could not be opened:\n{msg}").format( filename=osp.basename(filename), msg=msg ) QW.QMessageBox.critical( parent, _("Error") if app_name is None else app_name, message ) return return filename, data def exec_images_open_dialog( parent: QWidget, basedir: str = "", app_name: str | None = None, to_grayscale: bool = True, dtype: np.dtype | None = None, ) -> list[tuple[str, np.ndarray]] | None: """Executes an image*s* open dialog box (QFileDialog.getOpenFileNames) Args: parent: parent widget (None means no parent) basedir: base directory ('' means current directory) app_name: application name (used as a title for an eventual error message box in case something goes wrong when saving image) to_grayscale (bool | None): convert image to grayscale dtype: data type Returns: (filename, data) tuples if dialog is accepted, None otherwise """ saved_in, saved_out, saved_err = sys.stdin, sys.stdout, sys.stderr sys.stdout = None filenames, _filter = QW.QFileDialog.getOpenFileNames( parent, _("Open"), basedir, io.iohandler.get_filters("load", dtype=dtype) ) sys.stdin, sys.stdout, sys.stderr = saved_in, saved_out, saved_err filenames = [str(fname) for fname in list(filenames)] for filename in filenames: try: data = io.imread(filename, to_grayscale=to_grayscale) except Exception as msg: import traceback traceback.print_exc() message = _("{filename} could not be opened:\n{msg}").format( filename=osp.basename(filename), msg=msg ) QW.QMessageBox.critical( parent, _("Error") if app_name is None else app_name, message ) return yield filename, data PlotPyStack-PlotPy-2af0906/plotpy/widgets/qtdesigner.py000066400000000000000000000101011525747167300232330ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ plotpy.widgets.qtdesigner ----------------------------- The `qtdesigner` module provides QtDesigner helper functions for :mod:`plotpy`: * :py:func:`.qtdesigner.loadui` * :py:func:`.qtdesigner.compileui` * :py:func:`.qtdesigner.create_qtdesigner_plugins` Reference ~~~~~~~~~ .. autofunction:: loadui .. autofunction:: compileui .. autofunction:: create_qtdesigner_plugin """ import io from guidata.configtools import get_icon from qtpy import QtGui as QG from qtpy import uic from qtpy.QtDesigner import QPyDesignerCustomWidgetPlugin def loadui(fname, replace_class="QwtPlot"): """ Return Widget or Window class from QtDesigner ui file 'fname' The loadUiType function (PyQt5.uic) doesn't work correctly with plotpy QtDesigner plugins because they don't inheritate from a PyQt5.QtGui object. """ with open(fname) as f: uifile_text = f.read().replace(replace_class, "QFrame") ui, base_class = uic.loadUiType(io.StringIO(uifile_text)) class Form(base_class, ui): """ """ def __init__(self, parent=None): super().__init__(parent) self.setupUi(self) return Form def compileui(fname, replace_class="QwtPlot"): """ :param fname: :param replace_class: """ with open(fname) as f: uifile_text = f.read().replace("QwtPlot", "QFrame") with open(fname.replace(".ui", "_ui.py"), "w") as pyfile: uic.compileUi(io.StringIO(uifile_text), pyfile, pyqt3_wrapper=True) def create_qtdesigner_plugin( group, module_name, class_name, plot_options={}, icon=None, tooltip="", whatsthis="", ): """Return a custom QtDesigner plugin class Example: create_qtdesigner_plugin(group = "plotpy", module_name = "plotpy.baseplot", class_name = "PlotWidget", plot_options=PlotOptions(type="image")), icon = "image.png", tooltip = "", whatsthis = ""): """ Widget = getattr(__import__(module_name, fromlist=[class_name]), class_name) class CustomWidgetPlugin(QPyDesignerCustomWidgetPlugin): """ """ def __init__(self, parent=None): QPyDesignerCustomWidgetPlugin.__init__(self) self.initialized = False def initialize(self, core): """ :param core: :return: """ if self.initialized: return self.initialized = True def isInitialized(self): """ :return: """ return self.initialized def createWidget(self, parent): """ :param parent: :return: """ return Widget(parent, options=plot_options) def name(self): """ :return: """ return class_name def group(self): """ :return: """ return group def icon(self): """ :return: """ if icon is not None: return get_icon(icon) else: return QG.QIcon() def toolTip(self): """ :return: """ return tooltip def whatsThis(self): """ :return: """ return whatsthis def isContainer(self): """ :return: """ return False def domXml(self): """ :return: """ return f'\n' def includeFile(self): """ :return: """ return module_name return CustomWidgetPlugin PlotPyStack-PlotPy-2af0906/plotpy/widgets/resizedialog.py000066400000000000000000000115741525747167300235660ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Resize dialog ------------- The `resizedialog` module provides a dialog box providing essential GUI for entering parameters needed to resize an image: :py:class:`.widgets.resizedialog.ResizeDialog`. Reference ~~~~~~~~~ .. autoclass:: ResizeDialog :members: """ from guidata.qthelpers import win32_fix_title_bar_background from qtpy import QtGui as QG from qtpy import QtWidgets as QW from qtpy.QtCore import Qt from plotpy.config import _ def is_edit_valid(edit): """ :param edit: :return: """ text = edit.text() state = edit.validator().validate(text, 0) if isinstance(state, (tuple, list)): state = state[0] return state == QG.QIntValidator.Acceptable class ResizeDialog(QW.QDialog): """Resize dialog box""" def __init__(self, parent, new_size, old_size, text="", keep_original_size=False): QW.QDialog.__init__(self, parent) win32_fix_title_bar_background(self) def intfunc(tup): return [int(val) for val in tup] if intfunc(new_size) == intfunc(old_size): self.keep_original_size = True else: self.keep_original_size = keep_original_size self.width, self.height = new_size self.old_width, self.old_height = old_size self.ratio = self.width / self.height layout = QW.QVBoxLayout() self.setLayout(layout) formlayout = QW.QFormLayout() layout.addLayout(formlayout) if text: label = QW.QLabel(text) label.setAlignment(Qt.AlignHCenter) formlayout.addRow(label) self.w_edit = w_edit = QW.QLineEdit(self) w_valid = QG.QIntValidator(w_edit) w_valid.setBottom(1) w_edit.setValidator(w_valid) self.h_edit = h_edit = QW.QLineEdit(self) h_valid = QG.QIntValidator(h_edit) h_valid.setBottom(1) h_edit.setValidator(h_valid) zbox = QW.QCheckBox(_("Original size"), self) formlayout.addRow(_("Width (pixels)"), w_edit) formlayout.addRow(_("Height (pixels)"), h_edit) formlayout.addRow("", zbox) formlayout.addRow(_("Original size:"), QW.QLabel("%d x %d" % old_size)) self.z_label = QW.QLabel() formlayout.addRow(_("Zoom factor:"), self.z_label) # Button box self.bbox = bbox = QW.QDialogButtonBox( QW.QDialogButtonBox.Ok | QW.QDialogButtonBox.Cancel ) bbox.accepted.connect(self.accept) bbox.rejected.connect(self.reject) layout.addWidget(bbox) self.w_edit.setText(str(int(self.width))) self.h_edit.setText(str(int(self.height))) self.update_widgets() self.setWindowTitle(_("Resize")) w_edit.textChanged.connect(self.width_changed) h_edit.textChanged.connect(self.height_changed) zbox.toggled.connect(self.toggled_no_zoom) zbox.setChecked(self.keep_original_size) def update_widgets(self): """ """ valid = True for edit in (self.w_edit, self.h_edit): if not is_edit_valid(edit): valid = False self.bbox.button(QW.QDialogButtonBox.Ok).setEnabled(valid) self.z_label.setText("%d %s" % (100 * self.width / self.old_width, "%")) def width_changed(self, text): """ :param text: """ if is_edit_valid(self.sender()): self.width = int(text) self.height = int(self.width / self.ratio) self.h_edit.blockSignals(True) self.h_edit.setText(str(self.height)) self.h_edit.blockSignals(False) self.update_widgets() def height_changed(self, text): """ :param text: """ if is_edit_valid(self.sender()): self.height = int(text) self.width = int(self.ratio * self.height) self.w_edit.blockSignals(True) self.w_edit.setText(str(self.width)) self.w_edit.blockSignals(False) self.update_widgets() def toggled_no_zoom(self, state): """ :param state: """ self.keep_original_size = state if state: self.z_label.setText("100 %") self.bbox.button(QW.QDialogButtonBox.Ok).setEnabled(True) else: self.update_widgets() for widget in (self.w_edit, self.h_edit): widget.setDisabled(state) def get_zoom(self): """ :return: """ if self.keep_original_size: return 1 elif self.width > self.height: return self.width / self.old_width else: return self.height / self.old_height PlotPyStack-PlotPy-2af0906/plotpy/widgets/rotatecrop.py000066400000000000000000000176251525747167300232720ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ Rotate/crop dialog ------------------ The `rotatecrop` module provides a dialog box providing essential GUI elements for rotating (arbitrary angle) and cropping an image: * :py:class:`.widgets.rotatecrop.RotateCropDialog`: dialog box * :py:class:`.widgets.rotatecrop.RotateCropWidget`: equivalent widget Reference ~~~~~~~~~ .. autoclass:: RotateCropDialog :members: .. autoclass:: RotateCropWidget :members: """ from __future__ import annotations from typing import TYPE_CHECKING, Any from guidata.qthelpers import win32_fix_title_bar_background from qtpy import QtCore as QC from qtpy import QtWidgets as QW from qtpy.QtWidgets import QWidget # Helping out python_qt_documentation from plotpy.builder import make from plotpy.config import _ from plotpy.items import get_image_in_shape from plotpy.widgets import basetransform if TYPE_CHECKING: import numpy as np from plotpy.items import AnnotatedRectangle, TrImageItem from plotpy.plot import PlotOptions from plotpy.plot.manager import PlotManager class RotateCropTransform(basetransform.BaseTransform): """Rotate & Crop utils class, to be mixed with a class providing the get_plot method, like PlotDialog or RotateCropWidget (see below) Args: parent: Parent widget manager: Plot manager """ def __init__(self, parent: RotateCropWidget, manager: PlotManager) -> None: super().__init__(parent, manager) self.crop_rect: AnnotatedRectangle = None self.manager = manager # ------BaseTransformUtils API---------------------------------------------- def set_item(self, item: TrImageItem) -> None: """Set associated item Args: item: Associated item """ super().set_item(item) crect: AnnotatedRectangle = make.annotated_rectangle( 0, 0, 1, 1, _("Cropping rectangle") ) self.crop_rect = crect crect.annotationparam.format = "%.1f cm" plot = self.manager.get_plot() plot.add_item(crect) plot.set_active_item(crect) x0, y0, x1, y1 = self.item.get_crop_coordinates() crect.set_rect(x0, y0, x1, y1) plot.replot() def reset_transformation(self) -> None: """Reset transformation""" x0, y0, x1, y1 = self.item.border_rect.get_rect() self.crop_rect.set_rect(x0, y0, x1, y1) def apply_transformation(self) -> None: """Apply transformation, e.g. crop or rotate""" # Let's crop! i_points = self.item.border_rect.get_points() xmin, ymin = i_points.min(axis=0) xmax, ymax = i_points.max(axis=0) xc0, yc0, xc1, yc1 = self.crop_rect.shape.get_rect() left = max([0, xc0 - xmin]) right = max([0, xmax - xc1]) top = max([0, yc0 - ymin]) bottom = max([0, ymax - yc1]) self.item.set_crop(left, top, right, bottom) # print "set_crop:", left, top, right, bottom self.item.compute_bounds() self.manager.get_plot().replot() def compute_transformation(self) -> np.ndarray: """Compute transformation, return compute output array Returns: Compute output array """ return get_image_in_shape(self.crop_rect, apply_interpolation=False) # ------Private API--------------------------------------------------------- def show_crop_rect(self, state: bool) -> None: """Show/hide cropping rectangle shape Args: state: Show/hide state """ self.crop_rect.setVisible(state) self.crop_rect.label.setVisible(state) self.manager.get_plot().replot() class RotateCropDialog(QW.QDialog): """Rotate & Crop Dialog Rotate and crop a :py:class:`.TrImageItem` plot item Args: parent: Parent widget title: Dialog title options: Options dict resize_to: Resize dialog to (width, height) edit: Show "Edit" button toolbar: Show toolbar """ def __init__( self, parent: QWidget, title: str | None = None, options: PlotOptions | dict[str, Any] | None = None, resize_to: tuple[int, int] | None = None, edit: bool = True, toolbar: bool = False, ) -> None: super().__init__(parent) win32_fix_title_bar_background(self) if resize_to is not None: width, height = resize_to self.resize(width, height) self.button_box = None if title is None: title = _("Rotate & Crop") self.setWindowTitle(title) self.widget = RotateCropWidget(parent=parent, options=options, toolbar=toolbar) self.setWindowFlags(QC.Qt.WindowType.Window) buttonhlayout = QW.QHBoxLayout() self.add_buttons_to_layout(buttonhlayout, edit) dialogvlayout = QW.QVBoxLayout() dialogvlayout.addWidget(self.widget.plot_widget.toolbar) dialogvlayout.addWidget(self.widget) dialogvlayout.addLayout(buttonhlayout) self.setLayout(dialogvlayout) self.transform = self.widget.transform self.plot_widget = self.widget.plot_widget self.manager = self.widget.plot_widget.manager self.accepted.connect(self.transform.accept_changes) self.rejected.connect(self.transform.reject_changes) def add_buttons_to_layout(self, layout: QW.QBoxLayout, edit: bool) -> None: """Add buttons to layout Args: layout: Layout """ if edit: self.button_box = bbox = QW.QDialogButtonBox( QW.QDialogButtonBox.Ok | QW.QDialogButtonBox.Cancel ) bbox.accepted.connect(self.accept) bbox.rejected.connect(self.reject) layout.addWidget(bbox) class RotateCropWidget(basetransform.BaseTransformWidget): """Rotate & Crop Widget Rotate and crop a :py:class:`.TrImageItem` plot item Args: parent: Parent widget toolbar: Show toolbar options: Plot options """ def __init__( self, parent: QWidget, toolbar: bool = False, options: PlotOptions | dict[str, Any] | None = None, ) -> None: super().__init__(parent, toolbar=toolbar, options=options) self.transform = RotateCropTransform(self, self.plot_widget.manager) self.manager = self.plot_widget.manager def add_buttons_to_layout(self, layout: QW.QBoxLayout) -> None: """Add tool buttons to layout Args: layout: Layout """ # Show crop rectangle checkbox show_crop = QW.QCheckBox(_("Show cropping rectangle"), self.plot_widget) show_crop.setChecked(True) show_crop.toggled.connect(self.show_crop_rect) layout.addWidget(show_crop) layout.addSpacing(15) basetransform.BaseTransformWidget.add_buttons_to_layout(self, layout) def apply_transformation(self) -> None: """Apply transformation""" self.transform.apply_transformation() def reset(self) -> None: """Reset transformation""" self.transform.reset() def reject_changes(self) -> None: """Reject changes""" self.transform.reject_changes() def show_crop_rect(self, state: bool) -> None: """Show/hide cropping rectangle shape Args: state: Show/hide state """ self.transform.show_crop_rect(state) class MultipleRotateCropWidget(basetransform.BaseMultipleTransformWidget): """Multiple Rotate & Crop Widget Rotate and crop several :py:class:`.TrImageItem` plot items""" TRANSFORM_WIDGET_CLASS = RotateCropWidget PlotPyStack-PlotPy-2af0906/plotpy/widgets/selectdialog.py000066400000000000000000000131001525747167300235270ustar00rootroot00000000000000# -*- coding: utf-8 """ Select dialog ------------- The `selectdialog` module provides a dialog box to select an area of the plot using a tool: * :py:class:`.widgets.selectdialog.SelectDialog`: dialog box * :py:func:`.widgets.selectdialog.select_with_shape_tool`: function to select an area with a shape tool and return the rectangle * :py:func:`.widgets.selectdialog.set_items_unselectable`: function to set items unselectable except for the given item Example: get segment ~~~~~~~~~~~~~~~~~~~~ .. literalinclude:: ../../plotpy/tests/tools/test_get_segment.py Example: get rectangle ~~~~~~~~~~~~~~~~~~~~~~ .. literalinclude:: ../../plotpy/tests/tools/test_get_rectangle.py Example: get rectangle with SVG ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ .. literalinclude:: ../../plotpy/tests/tools/test_get_rectangle_with_svg.py Reference ~~~~~~~~~ .. autoclass:: SelectDialog :members: .. autofunction:: select_with_shape_tool .. autofunction:: set_items_unselectable """ from __future__ import annotations from typing import TYPE_CHECKING, Any from guidata.configtools import get_icon from guidata.qthelpers import exec_dialog from qtpy import QtWidgets as QW from qtpy.QtWidgets import QWidget # only to help intersphinx find QWidget from qwt.plot import QwtPlotItem from plotpy.items import AbstractShape, ImageItem from plotpy.panels.base import PanelWidget from plotpy.plot import BasePlot, PlotDialog, PlotOptions from plotpy.tools import RectangularShapeTool, SelectTool if TYPE_CHECKING: from plotpy.panels.base import PanelWidget class SelectDialog(PlotDialog): """Plot dialog box to select an area of the plot using a tool Args: parent: parent widget toolbar: show/hide toolbar options: plot options panels: additionnal panels auto_tools: If True, the plot tools are automatically registered. If False, the user must register the tools manually. title: The window title icon: The window icon edit: If True, the plot is editable """ def __init__( self, parent: QWidget | None = None, toolbar: bool = False, options: PlotOptions | dict[str, Any] | None = None, panels: list[PanelWidget] | None = None, auto_tools: bool = True, title: str = "PlotPy", icon: str = "plotpy.svg", edit: bool = False, ) -> None: super().__init__( parent, toolbar, options, panels, auto_tools, title, icon, edit ) self.sel_tool: RectangularShapeTool | None = None def set_image_and_tool( self, item: ImageItem, toolclass: RectangularShapeTool, **kwargs ) -> None: """Set the image item to be displayed and the tool to be used Args: item: Image item toolclass: Tool class kwargs: Keyword arguments for the tool class """ default = self.manager.add_tool(SelectTool) self.manager.set_default_tool(default) self.sel_tool: RectangularShapeTool = self.manager.add_tool( toolclass, switch_to_default_tool=True, **kwargs, ) # pylint: disable=attribute-defined-outside-init self.sel_tool.activate() set_ok_btn_enabled = self.button_box.button(QW.QDialogButtonBox.Ok).setEnabled set_ok_btn_enabled(False) self.sel_tool.SIG_TOOL_JOB_FINISHED.connect(lambda: set_ok_btn_enabled(True)) plot = self.get_plot() plot.add_item(item) plot.set_active_item(item) item.set_selectable(False) item.set_readonly(True) plot.unselect_item(item) def get_new_shape(self) -> AbstractShape: """Get newly created shape Returns: Newly created shape """ return self.sel_tool.get_last_final_shape() def set_items_unselectable(plot: BasePlot, except_item: QwtPlotItem = None) -> None: """Set items unselectable except for the given item""" for item_i in plot.get_items(): if except_item is None: item_i.set_selectable(False) else: item_i.set_selectable(item_i is except_item) def select_with_shape_tool( parent: QW.QWidget, toolclass: RectangularShapeTool, item: ImageItem, title: str = None, size: tuple[int, int] = None, other_items: list[QwtPlotItem] = [], tooldialogclass: SelectDialog = SelectDialog, toolbar: bool = False, options: PlotOptions | dict[str, Any] | None = None, icon=None, **kwargs, ) -> AbstractShape: """Select an area with a shape tool and return the rectangle Args: parent: Parent widget toolclass: Tool class item: Image item title: Dialog title size: Dialog size other_items: Other items to be displayed tooldialogclass: Tool dialog class toolbar: show/hide toolbar options: plot options icon: Icon kwargs: Keyword arguments for the tool class Returns: Selected shape """ if title is None: title = "Select an area then press OK to accept" if icon is not None: icon = get_icon(icon) if isinstance(icon, str) else icon win: SelectDialog = tooldialogclass( parent, title=title, edit=True, toolbar=toolbar, options=options, icon=icon ) win.set_image_and_tool(item, toolclass, **kwargs) plot = win.get_plot() for other_item in other_items: plot.add_item(other_item) set_items_unselectable(plot) if size is not None: win.resize(*size) win.show() if exec_dialog(win): return win.get_new_shape() return None PlotPyStack-PlotPy-2af0906/pyproject.toml000066400000000000000000000101011525747167300204330ustar00rootroot00000000000000# plotpy setup configuration file [build-system] requires = ["setuptools", "wheel", "cython >= 3.0.0", "numpy >= 2.0.0"] build-backend = "setuptools.build_meta" [project] name = "PlotPy" authors = [{ name = "Codra", email = "p.raybaut@codra.fr" }] description = "Curve and image plotting tools for Python/Qt applications" readme = "README.md" license = { file = "LICENSE" } classifiers = [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Education", "Intended Audience :: Science/Research", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows :: Windows 7", "Operating System :: Microsoft :: Windows :: Windows 8", "Operating System :: Microsoft :: Windows :: Windows 10", "Operating System :: Microsoft :: Windows :: Windows 11", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Image Processing", "Topic :: Scientific/Engineering :: Human Machine Interfaces", "Topic :: Scientific/Engineering :: Visualization", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Software Development :: User Interfaces", "Topic :: Software Development :: Widget Sets", "Topic :: Utilities", ] requires-python = ">=3.9, <4" dependencies = [ "guidata >= 3.14.1", "PythonQwt >= 0.16", "numpy >= 1.22", "SciPy >= 1.7.3", "scikit-image >= 0.19", "Pillow", "tifffile", ] dynamic = ["version"] [project.urls] Homepage = "https://github.com/PlotPyStack/plotpy/" Documentation = "https://plotpy.readthedocs.io/en/latest/" [project.gui-scripts] plotpy-tests = "plotpy.tests:run" plotpy-benchmarks = "plotpy.tests.benchmarks:run" [project.optional-dependencies] qt = ["PyQt5>5.15.5"] dev = ["build", "babel", "Coverage", "Cython>=3.0", "pylint", "ruff", "pre-commit", "setuptools", "wheel"] doc = [ "sphinx", "myst_parser", "sphinx-copybutton", "sphinx_qt_documentation", "python-docs-theme", ] test = ["pytest", "pytest-xvfb"] [tool.setuptools.packages.find] include = ["plotpy*"] [tool.setuptools.package-data] "*" = ["*.png", "*.svg", "*.mo", "*.cfg", "*.toml", "*.dcm", "*.ui", "*.json", "*.txt"] [tool.setuptools.dynamic] version = { attr = "plotpy.__version__" } [tool.pytest.ini_options] addopts = "--import-mode=importlib" testpaths = ["plotpy"] # addopts = "--import-mode=importlib --show-windows" # Disable offscreen mode [tool.ruff] exclude = [".git", ".vscode", "build", "dist","venv*",".venv*"] line-length = 88 # Same as Black. indent-width = 4 # Same as Black. target-version = "py39" # Assume Python 3.9. [tool.ruff.lint] # all rules can be found here: https://beta.ruff.rs/docs/rules/ select = [ "D202", # No blank lines allowed after function docstring. "D403", # First word of docstring should be properly capitalized. "E", # Pycodestyle error "F", # Pyflakes "I", # Isort "NPY201", # Numpy-specific checks "RUF022", # Unsorted __all__ "W" # Pycodestyle warning ] ignore = [ "E203", # space before : (needed for how black formats slicing) ] [tool.ruff.format] quote-style = "double" # Like Black, use double quotes for strings. indent-style = "space" # Like Black, indent with spaces, rather than tabs. skip-magic-trailing-comma = false # Like Black, respect magic trailing commas. line-ending = "auto" # Like Black, automatically detect the appropriate line ending. [tool.ruff.lint.per-file-ignores] "doc/*" = ["E402"] [tool.ruff.lint.pydocstyle] convention = "google" [tool.cibuildwheel] build = ["cp39-*", "cp310-*", "cp311-*", "cp312-*", "cp313-*", "cp314-*"] skip = ["*-manylinux_i686", "*-musllinux*"] PlotPyStack-PlotPy-2af0906/qtdesigner/000077500000000000000000000000001525747167300176735ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/qtdesigner/plotplugin.py000066400000000000000000000005531525747167300224450ustar00rootroot00000000000000# -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/LICENSE for details) """ plotplugin ========== A plotpy plot widget plugin for Qt Designer """ from plotpy.widgets.qtdesigner import create_qtdesigner_plugin Plugin = create_qtdesigner_plugin( "plotpy", "plotpy.plot", "PlotWidget", icon="curve.png" ) PlotPyStack-PlotPy-2af0906/requirements.txt000066400000000000000000000004361525747167300210150ustar00rootroot00000000000000Coverage Cython>=3.0 Pillow PyQt5>5.15.5 PythonQwt >= 0.16 SciPy >= 1.7.3 babel build guidata >= 3.14.1 myst_parser numpy >= 1.22 pre-commit pylint pytest pytest-xvfb python-docs-theme ruff scikit-image >= 0.19 setuptools sphinx sphinx-copybutton sphinx_qt_documentation tifffile wheel PlotPyStack-PlotPy-2af0906/scripts/000077500000000000000000000000001525747167300172155ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/scripts/build-wheels.sh000066400000000000000000000026641525747167300221450ustar00rootroot00000000000000#!/bin/bash set -e -u -x ARCH=$(uname -m) export PLAT=manylinux_2_24_$ARCH # Accurately check if Python version is 3.9 or greater function is_python_version_ge_39 { local pydir="$1" if [[ $pydir =~ cp([0-9]+)([0-9]+)-cp ]]; then local version="${BASH_REMATCH[1]}.${BASH_REMATCH[2]}" # Use sort with version sort flag to compare version against 3.9 if [[ $(echo -e "3.9\n$version" | sort -V | head -n1) == "3.9" ]]; then return 0 # True, version is >= 3.9 fi fi return 1 # False, version is < 3.9 } # Compile wheels, only for CPython 3.9+ for PYDIR in /opt/python/*; do if is_python_version_ge_39 "$PYDIR"; then PYBIN="$PYDIR/bin" "${PYBIN}/pip" install -r /io/requirements.txt "${PYBIN}/pip" wheel /io/ --no-deps -w wheelhouse/ fi done # Bundle external shared libraries into the wheels for wheel in wheelhouse/*.whl; do if auditwheel show "$wheel"; then auditwheel repair "$wheel" --plat "$PLAT" -w /io/wheelhouse/ fi done # Install packages and test, only for CPython 3.9+ for PYDIR in /opt/python/*; do if is_python_version_ge_39 "$PYDIR"; then PYBIN="$PYDIR/bin" "${PYBIN}/pip" install plotpy --no-index -f /io/wheelhouse (cd "$HOME"; INSTDIR=$("${PYBIN}/python" -c "import plotpy, os.path as osp; print(osp.dirname(plotpy.__file__))"); export QT_QPA_PLATFORM=offscreen; "${PYBIN}/pytest" "$INSTDIR") fi done PlotPyStack-PlotPy-2af0906/scripts/build_inplace.bat000066400000000000000000000043151525747167300225020ustar00rootroot00000000000000@echo off REM This script was copied from PythonQwt project REM ====================================================== REM Package build script REM ====================================================== REM Licensed under the terms of the MIT License REM Copyright (c) 2020 Pierre Raybaut REM (see PythonQwt LICENSE file for more details) REM ====================================================== setlocal enabledelayedexpansion set FUNC=%~dp0utils.bat call %FUNC% GetScriptPath SCRIPTPATH call %FUNC% GetModName MODNAME REM call %FUNC% SetPythonPath REM Go to project root cd /d "%~dp0.." if exist MANIFEST ( del /q MANIFEST ) set "BUILD_DONE=" :: Iterate over all directories in the grandparent directory :: (WinPython base directories) call %FUNC% GetPythonExeGrandParentDir DIR0 if defined DIR0 ( for /D %%d in ("%DIR0%*") do ( :: Get the directory name without the path for %%n in (%%d) do set "DIRNAME=%%~nxn" :: Check if the directory ends with "-PyQt6" or "-PySide6" if not "!DIRNAME:~-6!"=="-PyQt6" ( if not "!DIRNAME:~-8!"=="-PySide6" ( if exist "%%d\scripts\env.bat" ( set WINPYDIRBASE=%%d set OLD_PATH=!PATH! call !WINPYDIRBASE!\scripts\env.bat echo ****************************************************************************** echo Building %MODNAME% from "%%d" echo ****************************************************************************** python setup.py build_ext --inplace echo ---- set PATH=!OLD_PATH! set BUILD_DONE=1 ) ) ) ) ) REM Fallback: run in current environment if no WinPython build occurred if not defined BUILD_DONE ( echo ****************************************************************************** echo Building %MODNAME% in current environment echo ****************************************************************************** if defined PYTHON ( "%PYTHON%" setup.py build_ext --inplace ) else ( python setup.py build_ext --inplace ) ) call %FUNC% EndOfScriptPlotPyStack-PlotPy-2af0906/scripts/build_wheels.bat000066400000000000000000000040231525747167300223520ustar00rootroot00000000000000@echo off REM This script was copied from PythonQwt project REM ====================================================== REM Package build script REM ====================================================== REM Licensed under the terms of the MIT License REM Copyright (c) 2020 Pierre Raybaut REM (see PythonQwt LICENSE file for more details) REM ====================================================== setlocal enabledelayedexpansion set FUNC=%~dp0utils.bat call %FUNC% GetScriptPath SCRIPTPATH call %FUNC% GetModName MODNAME REM Go to project root cd /d "%~dp0.." if exist MANIFEST ( del /q MANIFEST ) set "BUILD_DONE=" REM Try to detect WinPython environment call %FUNC% GetPythonExeGrandParentDir DIR0 if defined DIR0 ( for /D %%d in ("%DIR0%*") do ( for %%n in (%%d) do set "DIRNAME=%%~nxn" REM Check if directory seems to be a WinPython directory (heuristic) if not "!DIRNAME:~-6!"=="-PyQt6" ( if not "!DIRNAME:~-8!"=="-PySide6" ( if exist "%%d\scripts\env.bat" ( set WINPYDIRBASE=%%d set OLD_PATH=!PATH! call !WINPYDIRBASE!\scripts\env.bat echo ****************************************************************************** echo Building %MODNAME% from "%%d" echo ****************************************************************************** python -m build echo ---- set PATH=!OLD_PATH! set BUILD_DONE=1 ) ) ) ) ) REM Fallback: run in current environment if no WinPython build occurred if not defined BUILD_DONE ( echo ****************************************************************************** echo Building %MODNAME% in current environment echo ****************************************************************************** if defined PYTHON ( "%PYTHON%" -m build ) else ( python -m build ) ) call %FUNC% EndOfScriptPlotPyStack-PlotPy-2af0906/scripts/reinstall_dev.py000066400000000000000000000066431525747167300224330ustar00rootroot00000000000000# script/reinstall_dev.py """ Reinstall multiple local libraries in editable mode for development. Workflow: 1) Try to uninstall all target libraries in one command (ignore errors if some are not installed). 2) Reinstall each library in editable mode from a sibling folder: ../. This script uses the same Python interpreter that runs it (sys.executable), so pip operations happen in the same environment (e.g., your active venv). """ from __future__ import annotations import os import shutil import subprocess import sys import sysconfig from typing import Iterable # Absolute path to the Python executable that runs this script. # Using sys.executable ensures pip targets the same environment (e.g., your venv). PY = sys.executable def run(cmd: list[str]) -> None: """ Echo and execute a subprocess command. Raises: subprocess.CalledProcessError: if the command returns a non-zero exit code. """ print("$", " ".join(cmd), flush=True) subprocess.check_call(cmd) def uninstall_many(packages: Iterable[str]) -> None: """ Attempt to uninstall multiple packages at once. If uninstall fails (e.g., a package is not installed), we keep going. Args: packages: An iterable of package names (pip distribution names). """ pkgs = list(packages) if not pkgs: return try: run([PY, "-m", "pip", "uninstall", "-y", *pkgs]) except subprocess.CalledProcessError as e: # Continue even if the uninstall step fails (for one or more packages) print(f"[WARN] Uninstall returned {e.returncode} โ€” continuing...", flush=True) def install_editable_many(packages: Iterable[str]) -> None: """ Install each package in editable mode from ../. Assumes your project layout has sibling folders one level up, e.g.: ../guidata Args: packages: An iterable of package names (also used as directory names). """ for pkg in packages: run([PY, "-m", "pip", "install", "-e", f"../{pkg}"]) def remove_residual_dirs(packages: Iterable[str]) -> None: """ Force remove residual package directories from site-packages. This mimics: rm -rf .venv/Lib/site-packages/ to ensure a clean slate before reinstalling. """ # Locates site-packages, e.g. .venv/Lib/site-packages site_packages = sysconfig.get_path("purelib") for pkg in packages: target = os.path.join(site_packages, pkg) if os.path.isdir(target): print(f"Removing residual directory: {target}", flush=True) try: shutil.rmtree(target) except OSError as e: print(f"[WARN] Failed to remove {target}: {e}", flush=True) def reinstall_packages(packages: list[str]) -> None: """ High-level orchestration for many packages: - Uninstall all of them (ignore failures) - Force remove residual directories from site-packages - Install each in editable mode """ # 1) Uninstall (ignore if not installed) uninstall_many(packages) # 2) Force remove residual directories (essential for clean reinstall) remove_residual_dirs(packages) # 3) Editable installs install_editable_many(packages) if __name__ == "__main__": # โญ Fixed, editable local libraries to manage (edit as needed) PACKAGES = ["guidata"] print("๐Ÿƒ Reinstalling editable packages:", ", ".join(PACKAGES)) reinstall_packages(PACKAGES) PlotPyStack-PlotPy-2af0906/scripts/run_with_env.py000066400000000000000000000170451525747167300223050ustar00rootroot00000000000000# Copyright (c) DataLab Platform Developers, BSD 3-Clause license, see LICENSE file. """Run a command with environment variables loaded from a .env file. This script automatically detects the best Python interpreter to use: 1. ``PYTHON`` variable in ``.env`` file (e.g. for WinPython distributions) 2. ``WINPYDIRBASE`` variable (legacy WinPython base directory) 3. ``VENV_DIR`` variable (explicit virtual environment directory) 4. A local virtual environment (``.venv*`` directory in the project root) 5. Falls back to ``sys.executable`` (the Python that launched this script) This ensures that VS Code tasks always use the correct Python environment regardless of which interpreter is configured globally or in VS Code. """ from __future__ import annotations import glob import os import subprocess import sys from pathlib import Path def _find_venv_python(project_root: Path) -> str | None: """Find a Python executable in a ``.venv*`` directory. Searches for directories matching ``.venv*`` in the project root and returns the first valid Python executable found. Args: project_root: The root directory of the project. Returns: Absolute path to the venv Python executable, or None if not found. """ # Sort to prefer ".venv" over ".venv-xyz" etc. venv_dirs = sorted(glob.glob(str(project_root / ".venv*"))) for venv_dir in venv_dirs: venv_path = Path(venv_dir) if not venv_path.is_dir(): continue result = _get_venv_python(venv_path) if result: return result return None def _get_venv_python(venv_dir: Path) -> str | None: """Get the Python executable from a specific venv directory. Args: venv_dir: Path to the virtual environment directory. Returns: Absolute path to the Python executable, or None if not found. """ if not venv_dir.is_dir(): return None # Windows: Scripts/python.exe โ€” Unix: bin/python candidates = [ venv_dir / "Scripts" / "python.exe", venv_dir / "bin" / "python", ] for candidate in candidates: if candidate.is_file(): # Keep the venv-local executable path without resolving symlinks: # on Linux/WSL, ``bin/python`` is often a symlink to a global # interpreter (e.g. /usr/bin/python3.x). Resolving it would lose # venv context and site-packages selection. return str(candidate.absolute()) return None def resolve_python(project_root: Path) -> str: """Resolve the best Python interpreter for the project. Priority order: 1. ``PYTHON`` environment variable (set in ``.env`` or externally) 2. ``WINPYDIRBASE`` environment variable (legacy WinPython base directory) 3. ``VENV_DIR`` environment variable (explicit venv directory) 4. ``.venv*`` directory in *project_root* (auto-discovery) 5. ``sys.executable`` (the interpreter running this script) Args: project_root: The root directory of the project. Returns: Absolute path to the Python executable to use. """ # 1. Explicit PYTHON variable (e.g. WinPython distribution) python_env = os.environ.get("PYTHON") if python_env: python_path = Path(python_env) if python_path.is_file(): # Do not resolve symlinks for the same reason as in # ``_get_venv_python``. resolved = str(python_path.absolute()) print(f" ๐Ÿ Using PYTHON from .env: {resolved}") return resolved print(f" โš ๏ธ PYTHON variable set but not found: {python_env}") # 2. Legacy WINPYDIRBASE variable (WinPython distribution) winpy_base = os.environ.get("WINPYDIRBASE") if winpy_base and Path(winpy_base).is_dir(): # Search for python.exe in the WinPython directory structure # Patterns: python-3.11.5.amd64/python.exe (old) or python/python.exe (new) for pattern in ("python-*/python.exe", "python/python.exe"): for candidate in sorted(Path(winpy_base).glob(pattern)): if candidate.is_file(): resolved = str(candidate.absolute()) print(f" ๐Ÿ Using WINPYDIRBASE (legacy): {resolved}") return resolved # Also try direct python.exe in the base directory direct = Path(winpy_base) / "python.exe" if direct.is_file(): resolved = str(direct.absolute()) print(f" ๐Ÿ Using WINPYDIRBASE (legacy): {resolved}") return resolved print(f" โš ๏ธ WINPYDIRBASE set but no Python found in: {winpy_base}") # 3. Explicit VENV_DIR variable (e.g. for multiple local venvs) venv_dir_env = os.environ.get("VENV_DIR") if venv_dir_env: venv_dir = Path(venv_dir_env) if not venv_dir.is_absolute(): venv_dir = project_root / venv_dir venv_python = _get_venv_python(venv_dir) if venv_python: print(f" ๐Ÿ Using VENV_DIR from .env: {venv_python}") return venv_python print(f" โš ๏ธ VENV_DIR set but no Python found in: {venv_dir}") # 4. Auto-discover local venv venv_python = _find_venv_python(project_root) if venv_python: print(f" ๐Ÿ Using venv Python: {venv_python}") return venv_python # 5. Fallback print(f" ๐Ÿ Using caller Python: {sys.executable}") return sys.executable def load_env_file(env_path: str | None = None) -> None: """Load environment variables from a .env file.""" if env_path is None: env_path = Path.cwd() / ".env" if not Path(env_path).is_file(): raise FileNotFoundError(f"Environment file not found: {env_path}") print(f"Loading environment variables from: {env_path}") with open(env_path, encoding="utf-8") as f: for line in f: line = line.strip() if not line or line.startswith("#") or "=" not in line: continue key, value = line.split("=", 1) value = value.strip().strip('"').strip("'") os.environ[key.strip()] = value print(f" Loaded variable: {key.strip()}={value}") def execute_command(command: list[str], python_exe: str) -> int: """Execute a command, replacing ``python`` placeholders. Any argument that is the bare word ``python`` or that points to a Python executable (checked via filename) is replaced by *python_exe* so that the subprocess uses the resolved interpreter rather than the global one. Args: command: The command and its arguments. python_exe: The resolved Python interpreter path. Returns: The subprocess exit code. """ resolved: list[str] = [] for arg in command: if arg.lower() == "python" or ( Path(arg).name.lower().startswith("python") and Path(arg).is_file() and arg.lower() != python_exe.lower() ): resolved.append(python_exe) else: resolved.append(arg) print("Executing command:") print(" ".join(resolved)) print("") result = subprocess.call(resolved) print(f"Process exited with code {result}") return result def main() -> None: """Main function to load environment variables and execute a command.""" if len(sys.argv) < 2: print("Usage: python run_with_env.py [args ...]") sys.exit(1) print("๐Ÿƒ Running with environment variables") project_root = Path.cwd() load_env_file() python_exe = resolve_python(project_root) return execute_command(sys.argv[1:], python_exe) if __name__ == "__main__": main() PlotPyStack-PlotPy-2af0906/scripts/utils.bat000066400000000000000000000065201525747167300210500ustar00rootroot00000000000000@echo off set FUNC=%0 call:%* goto Exit REM ====================================================== REM Utilities for deployment, test and build scripts REM ====================================================== REM Licensed under the terms of the MIT License REM Copyright (c) 2020 Pierre Raybaut REM (see LICENSE file for more details) REM ====================================================== :GetScriptPath set _tmp_=%~dp0 if %_tmp_:~-1%==\ set %1=%_tmp_:~0,-1% EXIT /B 0 :GetLibName pushd %~dp0.. powershell -Command "(Get-Content 'pyproject.toml' | Select-String '^name = ') -replace '^name = \"', '' -replace '\"$', ''" > _tmp_.txt set /p %1=<_tmp_.txt del _tmp_.txt popd goto:eof :GetModName pushd %~dp0.. for /D %%I in (*) DO ( if exist %%I\__init__.py ( set %1=%%I goto :found_module ) ) :found_module popd goto:eof :GetVersion call:GetModName MODNAME call:SetPythonPath echo import %MODNAME%;print(%MODNAME%.__version__) | python > _tmp_.txt set /p %1=<_tmp_.txt del _tmp_.txt goto:eof :GetVersionWithoutAlphaBeta call:GetModName MODNAME call:SetPythonPath echo import %MODNAME%;ver=%MODNAME%.__version__;print(ver.split("b")[0] if "b" in ver else ver.split("a")[0] if "a" in ver else ver) | python > _tmp_.txt set /p %1=<_tmp_.txt del _tmp_.txt goto:eof :SetPythonPath set ORIGINAL_PYTHONPATH=%PYTHONPATH% cd %~dp0.. for /F "tokens=*" %%A in (.env) do ( set %%A ) set PYTHONPATH=%PYTHONPATH%;%ORIGINAL_PYTHONPATH% goto:eof :GetPythonExeGrandParentDir for %%i in (%PYTHON%) do set DIR2=%%~dpi set DIR2=%DIR2:~0,-1% for %%j in (%DIR2%) do set DIR1=%%~dpj set DIR1=%DIR1:~0,-1% for %%k in (%DIR1%) do set %1=%%~dpk goto:eof :UsePython if defined WINPYVER (goto:eof) if not defined PYTHON (goto :nopython) for %%a in ("%PYTHON%") do set "p_dir=%%~dpa" if exist "%p_dir%\activate.bat" (goto :venvpython) for %%a in (%p_dir:~0,-1%) do set "WINPYDIRBASE=%%~dpa" if exist "%WINPYDIRBASE%\scripts\env.bat" (goto :nopython) goto :python :venvpython call "%p_dir%\activate.bat" call :ShowTitle "Using Python Virtual Environment from %p_dir%" goto:eof :python set PATH=%p_dir%;%PATH% call :ShowTitle "Using Python from %p_dir%" goto:eof :nopython if defined WINPYDIRBASE ( call %WINPYDIRBASE%\scripts\env.bat call :ShowTitle "Using WinPython from %WINPYDIRBASE%" ) else ( echo Warning: WINPYDIRBASE environment variable is not defined, switching to system Python echo ******** echo (if nothing happens, that's probably because Python is not installed either: echo please set the WINPYDIRBASE variable to select WinPython directory, or install Python) ) goto:eof :ShowTitle @echo: @echo ========= %~1 ========= @echo: goto:eof :EndOfScript @echo: @echo ********************************************************************************** @echo: if not defined UNATTENDED ( @echo End of script pause ) goto:eof :Exit exit /bPlotPyStack-PlotPy-2af0906/setup.py000066400000000000000000000045411525747167300172440ustar00rootroot00000000000000# -*- coding: utf-8 -*- import os import os.path as osp import platform import sys import numpy from Cython.Compiler import Main from setuptools import Distribution, Extension, setup LIBNAME = "plotpy" SRCPATH = osp.join(".", "src") def is_msvc(): """Detect if Microsoft Visual C++ compiler was chosen to build package""" dist = Distribution() dist.parse_config_files() bld = dist.get_option_dict("build") if bld: comp = bld.get("compiler") if comp is not None and "mingw32" in comp: return False # mingw is the compiler return os.name == "nt" and "mingw" not in "".join(sys.argv) def compile_cython_extensions(): """Compile Cython extensions""" for fname in os.listdir(SRCPATH): if osp.splitext(fname)[1] == ".pyx": Main.compile(osp.join(SRCPATH, fname), language_level=2) compile_cython_extensions() INCLUDE_DIRS = [SRCPATH, numpy.get_include()] MACROS_CYTHON = [("NPY_NO_DEPRECATED_API", "NPY_1_7_API_VERSION")] CFLAGS_CYTHON = [] MACROS_CPP = [("NPY_NO_DEPRECATED_API", "NPY_1_7_API_VERSION")] CFLAGS_CPP = ["/EHsc", "/fp:fast"] if is_msvc() else ["-Wall"] if platform.system() == "Darwin": CFLAGS_CPP += ["-std=c++11"] setup( ext_modules=[ Extension( name=f"{LIBNAME}.mandelbrot", sources=[osp.join(SRCPATH, "mandelbrot.c")], include_dirs=INCLUDE_DIRS, extra_compile_args=CFLAGS_CYTHON, define_macros=MACROS_CYTHON, ), Extension( name=f"{LIBNAME}.histogram2d", sources=[osp.join(SRCPATH, "histogram2d.c")], include_dirs=INCLUDE_DIRS, extra_compile_args=CFLAGS_CYTHON, define_macros=MACROS_CYTHON, ), Extension( name=f"{LIBNAME}._scaler", sources=[osp.join(SRCPATH, "scaler.cpp"), osp.join(SRCPATH, "pcolor.cpp")], extra_compile_args=CFLAGS_CPP, depends=[ osp.join(SRCPATH, "traits.hpp"), osp.join(SRCPATH, "points.hpp"), osp.join(SRCPATH, "arrays.hpp"), osp.join(SRCPATH, "scaler.hpp"), osp.join(SRCPATH, "debug.hpp"), ], include_dirs=INCLUDE_DIRS, define_macros=MACROS_CPP, ), ] ) PlotPyStack-PlotPy-2af0906/src/000077500000000000000000000000001525747167300163155ustar00rootroot00000000000000PlotPyStack-PlotPy-2af0906/src/arrays.hpp000066400000000000000000000130541525747167300203320ustar00rootroot00000000000000/* -*- coding: utf-8;mode:c++;c-file-style:"stroustrup" -*- */ /* Licensed under the terms of the BSD 3-Clause (see plotpy/__init__.py for details) */ #ifndef __ARRAYS_HPP__ #define __ARRAYS_HPP__ #include "debug.hpp" template class PixelIterator { public: typedef typename Image::value_type value_type; PixelIterator(Image &_img) : img(_img), cur(_img.base) { } value_type &operator()() { check_img_ptr("pixeliter:", cur, out, img); return *cur; } value_type &operator()(int dx, int dy) { return *(cur + dy * img.si + dx * img.sj); } void move(int dx, int dy) { cur += dy * img.si + dx * img.sj; } void moveto(int x, int y) { cur = img.base + y * img.si + x * img.sj; } protected: Image &img; value_type *cur; value_type out; }; template class Array1D { public: typedef T value_type; // The type of pixel data from the image class iterator : public std::iterator { public: iterator() : pos(0L), stride(0) {} iterator(const Array1D &arr) : pos(arr.base), stride(arr.si) {} iterator(const iterator &it, int n = 0) : pos(it.pos), stride(it.stride) { *this += n; } T &operator*() { return *pos; } const T &operator*() const { return *pos; } T &operator[](int n) { return *(pos + n * stride); } const T &operator[](int n) const { return *(pos + n * stride); } iterator &operator+=(int n) { pos += stride * n; return *this; } int operator-(const iterator &it) { return (pos - it.pos) / stride; } iterator operator+(int n) { return iterator(*this, n); } iterator operator-(int n) { return iterator(*this, -n); } iterator &operator=(const iterator &it) { pos = it.pos; stride = it.stride; return *this; } iterator &operator++() { pos += stride; return *this; } iterator &operator--() { pos += stride; return *this; } iterator operator++(int) { iterator it(*this); pos += stride; return it; } iterator operator--(int) { iterator it(*this); pos += stride; return it; } bool operator<(const iterator &it) { return pos < it.pos; } bool operator==(const iterator &it) { return pos == it.pos; } bool operator!=(const iterator &it) { return pos != it.pos; } protected: T *pos; int stride; }; Array1D() {} Array1D(PyArrayObject *arr) { base = (value_type *)PyArray_DATA(arr); ni = PyArray_DIM(arr, 0); si = PyArray_STRIDE(arr, 0) / sizeof(value_type); } Array1D(value_type *_base, int _ni, int _si) : base(_base), ni(_ni), si(_si / sizeof(value_type)) { } iterator begin() { return iterator(*this); } iterator end() { iterator it(*this); it += ni; return it; } void init(value_type *_base, int _ni, int _si) { base = _base; ni = _ni; si = _si; } // Pixel accessors value_type &value(int x) { check("array1d:", x, ni, outside); return *(base + x * si); } const value_type &value(int x) const { check("array1d:", x, ni, outside); return *(base + x * si); } public: value_type outside; value_type *base; int ni; // dimensions int si; // strides in sizeof(value_type) }; template class Array2D { public: typedef T value_type; // The type of pixel data from the image Array2D() {} Array2D(PyArrayObject *arr) { base = (value_type *)PyArray_DATA(arr); ni = PyArray_DIM(arr, 0); nj = PyArray_DIM(arr, 1); si = PyArray_STRIDE(arr, 0) / sizeof(value_type); sj = PyArray_STRIDE(arr, 1) / sizeof(value_type); } Array2D(value_type *_base, int _ni, int _nj, int _si, int _sj) : base(_base), ni(_ni), nj(_nj), si(_si / sizeof(value_type)), sj(_sj / sizeof(value_type)) { } void init(value_type *_base, int _ni, int _nj, int _si, int _sj) { base = _base; ni = _ni; nj = _nj; si = _si; sj = _sj; } // Pixel accessors value_type &value(int x, int y) { check("array2d x:", x, nj, outside); check("array2d y:", y, ni, outside); return *(base + x * sj + y * si); } const value_type &value(int x, int y) const { check("array2d x:", x, nj, outside); check("array2d y:", y, ni, outside); return *(base + x * sj + y * si); } public: value_type outside; value_type *base; int ni, nj; // dimensions int si, sj; // strides in sizeof(value_type) }; template void set_array(Image &img, PyArrayObject *arr) { img.init((typename Image::value_type *)PyArray_DATA(arr), PyArray_DIM(arr, 0), PyArray_DIM(arr, 1), PyArray_STRIDE(arr, 0) / sizeof(typename Image::value_type), PyArray_STRIDE(arr, 1) / sizeof(typename Image::value_type)); } #endif PlotPyStack-PlotPy-2af0906/src/debug.hpp000066400000000000000000000022121525747167300201110ustar00rootroot00000000000000/* -*- coding: utf-8;mode:c++;c-file-style:"stroustrup" -*- */ /* Licensed under the terms of the BSD 3-Clause (see plotpy/__init__.py for details) */ #ifndef __DEBUG_HPP__ #define __DEBUG_HPP__ #define DEBUG 0 #if DEBUG #define check(msg, x, n, r) \ if (x < 0 || x >= n) \ { \ printf(msg "%d out of bound (%d)\n", x, n); \ return r; \ } #define check_img_ptr(msg, p, r, img) \ if (p < img.base || p > (img.base + (img.ni - 1) * img.si + (img.nj - 1) * img.sj)) \ { \ printf(msg "%p out of bound (%p,%dx%d, %dx%d\n", p, img.base, img.ni, img.si, img.nj, img.sj); \ return r; \ } #else #define check(msg, x, n, r) ; #define check_img_ptr(msg, p, r, img) ; #endif #endif PlotPyStack-PlotPy-2af0906/src/histogram2d.pyx000066400000000000000000000065531525747167300213130ustar00rootroot00000000000000# cython: language_level=3 # -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/__init__.py for details) """2D-Histogram algorithm""" cimport cython cimport numpy as cnp from libc.math cimport log cnp.import_array() cdef inline double double_max(double a, double b): return a if a >= b else b cdef inline double double_min(double a, double b): return a if a <= b else b @cython.profile(False) @cython.boundscheck(False) def histogram2d(cnp.ndarray[double, ndim=1] X, cnp.ndarray[double, ndim=1] Y, double i0, double i1, double j0, double j1, cnp.ndarray[double, ndim=2] data, logscale): """Compute 2-D Histogram from data X, Y""" cdef double cx, cy, nmax, ix, iy cdef unsigned int i cdef Py_ssize_t n = X.shape[0] cdef Py_ssize_t nx = data.shape[1] cdef Py_ssize_t ny = data.shape[0] cx = nx/(i1-i0) cy = ny/(j1-j0) for i in range(n): # Centered bins => - .5 ix = (X[i] - i0) * cx - .5 iy = (Y[i] - j0) * cy - .5 if ix >= 0 and ix <= nx-1 and iy >= 0 and iy <= ny-1: data[ iy, ix] += 1 nmax = 0. if logscale: for j in range(ny): for i in range(nx): data[j, i] = log(1+data[j, i]) nmax = double_max(nmax, data[j, i]) else: for j in range(ny): for i in range(nx): nmax = double_max(nmax, data[j, i]) return nmax @cython.profile(False) @cython.boundscheck(False) def histogram2d_func(cnp.ndarray[double, ndim=1] X, cnp.ndarray[double, ndim=1] Y, cnp.ndarray[double, ndim=1] Z, double i0, double i1, double j0, double j1, cnp.ndarray[double, ndim=2] data_tmp, cnp.ndarray[double, ndim=2] data, int computation): """Compute 2-D Histogram from data X, Y""" cdef double cx, cy, nmax, ix, iy cdef unsigned int i, u, v cdef Py_ssize_t n = X.shape[0] cdef Py_ssize_t nx = data.shape[1] cdef Py_ssize_t ny = data.shape[0] cx = nx/(i1-i0) cy = ny/(j1-j0) for i in range(n): # Centered bins => - .5 ix = (X[i] - i0) * cx - .5 iy = (Y[i] - j0) * cy - .5 if ix >= 0 and ix <= nx-1 and iy >= 0 and iy <= ny-1: u, v = iy, ix if computation == 0: # max data_tmp[u, v] += 1 data[u, v] = double_max(data[u, v], Z[i]) elif computation == 1: # min data_tmp[u, v] += 1 data[u, v] = double_min(data[u, v], Z[i]) elif computation == 2: # sum data_tmp[u, v] += 1 data[u, v] += Z[i] elif computation == 3: # prod data_tmp[u, v] += 1 data[u, v] *= Z[i] elif computation == 4: # avg data_tmp[u, v] += 1 data[u, v] += (Z[i]-data[u, v])/data_tmp[u, v] elif computation == 5: # argmin if data[u, v] > Z[i]: data_tmp[u, v] = i data[u, v] = Z[i] elif computation == 6: # argmax if data[u, v] < Z[i]: data_tmp[u, v] = i data[u, v] = Z[i] PlotPyStack-PlotPy-2af0906/src/mandelbrot.pyx000066400000000000000000000021661525747167300212130ustar00rootroot00000000000000# cython: language_level=3 # -*- coding: utf-8 -*- # # Licensed under the terms of the BSD 3-Clause # (see plotpy/__init__.py for details) """Mandelbrot algorithm""" cimport cython cimport numpy as np @cython.profile(False) cdef inline int mandel(double real, double imag, int nmax): cdef double z_real=0., z_imag=0. cdef int i for i in range(nmax): z_real, z_imag = (z_real*z_real - z_imag*z_imag + real, 2*z_real*z_imag + imag) if z_real*z_real + z_imag*z_imag > 4: return i return -1 @cython.boundscheck(False) def mandelbrot(double x1, double y1, double x2, double y2, data, unsigned int nmax): """Compute Mandelbrot fractal""" cdef double dx, dy, real, imag cdef unsigned int row, col cdef unsigned int rows = data.shape[0] cdef unsigned int cols = data.shape[1] dx = (x2-x1)/(cols-1) dy = (y2-y1)/(rows-1) for col in range(cols): real = x1 + col*dx for row in range(rows): imag = y1 + row*dy data[row, col] = mandel(real, imag, nmax) PlotPyStack-PlotPy-2af0906/src/pcolor.cpp000066400000000000000000000353721525747167300203310ustar00rootroot00000000000000/* -*- coding: utf-8;mode:c++;c-file-style:"stroustrup" -*- */ /* Licensed under the terms of the BSD 3-Clause (see plotpy/__init__.py for details) */ #include #define NO_IMPORT_ARRAY #define PY_ARRAY_UNIQUE_SYMBOL PyScalerArray #include #ifdef _MSC_VER #include #else #include #endif #include #if defined(_MSC_VER) || defined(__MINGW32__) #define isnan(x) _isnan(x) #endif #include #include #include #include "arrays.hpp" #include "scaler.hpp" using std::max; using std::min; using std::swap; using std::vector; #if 0 /** return min(max(a,b,c,d),bound) */ static int max4(int a, int b, int c, int d, int bound) { int x, y, z; x = (a>b ? a : b); y = (c>d ? c : d); z = (x>y ? x : y); return (z>bound ? bound : z); } /** return max(min(a,b,c,d),bound) */ static int min4(int a, int b, int c, int d, int bound) { int x, y, z; x = (a &imin, vector &imax, bool draw, npy_uint32 col, Array2D &D) { int x0 = lrint(_x0); int y0 = lrint(_y0); int x1 = lrint(_x1); int y1 = lrint(_y1); int dx = abs(x1 - x0); int dy = abs(y1 - y0); int sx, sy; int NY = imin.size() - 1; int err, e2; bool visible = false; NX = NX - 1; if (x0 < x1) sx = 1; else sx = -1; if (y0 < y1) sy = 1; else sy = -1; err = dx - dy; do { if (y0 >= 0 && y0 <= NY) { int _min = min(imin[y0], x0); int _max = max(imax[y0], x0); if (draw) { if (x0 >= 0 && x0 <= NX) { D.value(x0, y0) = col; } } imin[y0] = max(0, _min); imax[y0] = min(NX, _max); if (_min <= NX && _max >= 0) { visible = true; } } if ((x0 == x1) && (y0 == y1)) break; e2 = 2 * err; if (e2 > -dy) { err = err - dy; x0 = x0 + sx; } if (e2 < dx) { err = err + dx; y0 = y0 + sy; } } while (true); return visible; } template struct QuadHelper { const Array2D &X; const Array2D &Y; const Array2D &Z; Array2D &D; LutScale &scale; double x1, x2, y1, y2, m_dx, m_dy; npy_uint32 bgcolor; bool border; bool flat; double uflat, vflat; int ixmin, ixmax, iymin, iymax; QuadHelper(const Array2D &X_, const Array2D &Y_, const Array2D &Z_, Array2D &D_, LutScale &scale_, double x1_, double x2_, double y1_, double y2_, bool _border, bool _flat, double _uflat, double _vflat) : X(X_), Y(Y_), Z(Z_), D(D_), scale(scale_), x1(x1_), x2(x2_), y1(y1_), y2(y2_), bgcolor(0xff000000), border(_border), flat(_flat), uflat(_uflat), vflat(_vflat) { m_dx = D.nj / (x2 - x1); m_dy = D.ni / (y2 - y1); } void draw_triangles() { int i, j; vector imin, imax; imin.resize(D.ni); imax.resize(D.ni); ixmin = D.nj; iymin = D.ni; ixmax = -1; iymax = -1; for (i = 0; i < X.ni - 1; ++i) { for (j = 0; j < X.nj - 1; ++j) { draw_quad(i, j, imin, imax); } } } void draw_quad(int qi, int qj, vector &imin, vector &imax) { int i, j; double u, v; double v0, v1, v2, v3, v4; // Coordonnees du quad dans l'offscreen double ax = (X.value(qj + 0, qi + 0) - x1) * m_dx, ay = (Y.value(qj + 0, qi + 0) - y1) * m_dy; double bx = (X.value(qj + 0, qi + 1) - x1) * m_dx, by = (Y.value(qj + 0, qi + 1) - y1) * m_dy; double cx = (X.value(qj + 1, qi + 1) - x1) * m_dx, cy = (Y.value(qj + 1, qi + 1) - y1) * m_dy; double dx = (X.value(qj + 1, qi + 0) - x1) * m_dx, dy = (Y.value(qj + 1, qi + 0) - y1) * m_dy; // indice des sommets (A,B,C,D)<->0,1,2,3<->(qi,qj),(qi+1,qj),(qi+1,qj+1),(qi,qj+1) // trie par ordre x croissant ou y croissant (selon xarg, yarg) double ymin = min(ay, min(by, min(cy, dy))); double ymax = max(ay, max(by, max(cy, dy))); int i0 = int(ymin + .5); int i1 = int(ymax + .5); // printf("Quads: i=%d->%d\n", i0, i1); if (i0 < 0) i0 = 0; if (i1 >= D.ni) i1 = D.ni - 1; if (i1 < i0) return; iymin = min(iymin, i0); iymax = max(iymax, i1); for (i = i0; i <= i1; ++i) { imax[i] = -1; imin[i] = D.nj; } // Compute the rasterized border of the quad bool visible = false; visible |= vert_line(ax, ay, bx, by, D.nj, imin, imax, border, 0xff000000, D); visible |= vert_line(bx, by, cx, cy, D.nj, imin, imax, border, 0xff000000, D); visible |= vert_line(cx, cy, dx, dy, D.nj, imin, imax, border, 0xff000000, D); visible |= vert_line(dx, dy, ax, ay, D.nj, imin, imax, border, 0xff000000, D); if (!visible) return; double ex = ax + cx - dx - bx; double ey = ay + cy - dy - by; double n = 1. / sqrt((cx - ax) * (cx - ax) + (cy - ay) * (cy - ay)); if (n > 1e2) n = 1.0; // Normalize vectors with ||AC|| ax *= n; ay *= n; bx = bx * n - ax; by = by * n - ay; cx = cx * n - ax; cy = cy * n - ay; dx = dx * n - ax; dy = dy * n - ay; ex *= n; ey *= n; v1 = Z.value(qj, qi); v2 = Z.value(qj + 1, qi); v3 = Z.value(qj + 1, qi + 1); v4 = Z.value(qj, qi + 1); if (isnan(v1) || isnan(v2) || isnan(v3) || isnan(v4)) { // XXX Color = Alpha return; } int dm = 0, dM = 0; if (border) { dm = 1; dM = -1; } npy_uint32 col = scale.eval(v1 * (1 - vflat) * (1 - uflat) + v2 * vflat * (1 - uflat) + v3 * vflat * uflat + v4 * (1 - vflat) * uflat); for (i = i0 + dm; i <= i1 + dM; ++i) { ixmin = min(ixmin, imin[i]); ixmax = max(ixmax, imax[i]); int jmin = max(0, imin[i]) + dm; int jmax = min(imax[i], D.nj - 1) + dM; for (j = jmin; j <= jmax; ++j) { if (!flat) { params(j * n, i * n, ax, ay, bx, by, cx, cy, dx, dy, ex, ey, u, v); if (u < 0) u = 0.; else if (u > 1.) u = 1.; if (v < 0) v = 0.; else if (v > 1.) v = 1.; /* v0 = v1*(1-v)*(1-u) + v2*v*(1-u) + v3*v*u + v4*(1-v)*u; */ v0 = u * (v * (v1 - v2 + v3 - v4) + v4 - v1) + v * (v2 - v1) + v1; col = scale.eval(v0); } D.value(j, i) = col; } } } void params(double x, double y, double ax, double ay, double bx, double by, double cx, double cy, double dx, double dy, double ex, double ey, double &u, double &v) { /* solves AM=u.AB+v.AD+uv.AE with A,B,C,D quad, AE=DC+BA M = (x,y) with u^2.(AB^AE) +u.(AB^AD+AE^AM)+AD^AM=0 v = (AM-u.AB)/(AD+u.AE) */ double mx = x - ax, my = y - ay; double a1, a2, b, c, delta; if (false && (ex * ex + ey * ey) < 1e-8) { // fast case : parallelogram if (fabs(dy) > 1e-16) { double a = dx / dy; u = (mx - a * y) / (bx - a * by); v = (my - u * by) / dy; return; } else { double a = dy / dx; u = (my - a * x) / (by - a * bx); v = (mx - u * bx) / dx; return; } } a1 = bx * ey - ex * by; a2 = dx * ey - ex * dy; if (a1 > a2) { b = bx * dy - dx * by + ex * my - mx * ey; c = dx * my - mx * dy; if (fabs(a1) > 1e-8) { delta = b * b - 4 * a1 * c; u = (-b + sqrt(delta)) / (2 * a1); } else { u = -c / b; } double den = (dx + u * ex); if (fabs(den) > 1e-8) { v = (mx - u * bx) / den; } else { den = (dy + u * ey); v = (my - u * by) / den; } } else { b = dx * by - bx * dy + ex * my - mx * ey; c = bx * my - mx * by; if (fabs(a2) > 1e-8) { delta = b * b - 4 * a2 * c; v = (-b + sqrt(delta)) / (2 * a2); } else { v = -c / b; } double den = (bx + v * ex); if (fabs(den) > 1e-8) { u = (mx - v * dx) / den; } else { den = (by + v * ey); u = (my - v * dy) / den; } } #if 0 if (isnan(u)) { printf("AM=(%g,%g)\n", mx, my); printf("AB=(%g,%g)\n", bx, by); printf("AC=(%g,%g)\n", cx, cy); printf("AD=(%g,%g)\n", dx, dy); printf("AE=(%g,%g)\n", ex, ey); printf("a1=%g, a2=%g, b=%g, c=%g\n", a1, a2, b, c); printf("u=%g v=%g\n", u, v); } #endif } }; /** Draw a structured grid composed of quads (xy[i,j],xy[i+1,j],xy[i+1,j+1],xy[i,j+1] ) */ PyObject *py_scale_quads(PyObject *self, PyObject *args) { PyArrayObject *p_src_x = 0, *p_src_y = 0, *p_src_z = 0, *p_dst = 0; PyObject *p_lut_data, *p_dst_data, *p_interp_data, *p_src_data; double x1, x2, y1, y2; int border = 0, flat = 0; double uflat = 0.5; double vflat = 0.5; if (!PyArg_ParseTuple(args, "OOOOOOOO|i:_scale_quads", &p_src_x, &p_src_y, &p_src_z, &p_src_data, &p_dst, &p_dst_data, &p_lut_data, &p_interp_data, &border)) { return NULL; } if (!PyArg_ParseTuple(p_interp_data, "i|dd", &flat, &uflat, &vflat)) { PyErr_SetString(PyExc_ValueError, "Interpolation should be a tuple (type[,uflat,vflat])"); return NULL; } if (!check_arrays(p_src_x, p_dst)) { return NULL; } if (!PyArg_ParseTuple(p_src_data, "dddd:_scale_quads", &x1, &y1, &x2, &y2)) { return NULL; } if (PyArray_TYPE(p_src_x) != NPY_FLOAT64 || PyArray_TYPE(p_src_y) != NPY_FLOAT64 || PyArray_TYPE(p_src_z) != NPY_FLOAT64) { PyErr_SetString(PyExc_TypeError, "Only support float X,Y,Z"); return NULL; } if (PyArray_TYPE(p_dst) != NPY_UINT32) { PyErr_SetString(PyExc_TypeError, "Only support RGB dest for now"); return NULL; } double a = 1.0, b = 0.0; PyObject *p_bg; PyArrayObject *p_cmap; bool apply_bg = true; if (!PyArg_ParseTuple(p_lut_data, "ddO|O", &a, &b, &p_bg, &p_cmap)) { PyErr_SetString(PyExc_ValueError, "Can't interpret pixel transformation tuple"); return NULL; } if (p_bg == Py_None) apply_bg = false; Array2D X(p_src_x), Y(p_src_y), Z(p_src_z); /* Destination is RGB */ unsigned long bg = 0; Array2D dest(p_dst); if (apply_bg) { #if PY_MAJOR_VERSION >= 3 bg = PyLong_AsUnsignedLongMask(p_bg); #else bg = PyInt_AsUnsignedLongMask(p_bg); #endif if (PyErr_Occurred()) return NULL; } if (!check_lut(p_cmap)) { return NULL; } Array1D cmap(p_cmap); LutScale scale(a, b, cmap, bg, apply_bg); QuadHelper quad(X, Y, Z, dest, scale, x1, x2, y1, y2, border, flat, uflat, vflat); quad.draw_triangles(); // examine source type return Py_BuildValue("iiii", quad.ixmin, quad.iymin, quad.ixmax, quad.iymax); } PyObject *py_vert_line(PyObject *self, PyObject *args) { double x0, y0, x1, y1; int xmax; PyArrayObject *p_min, *p_max; if (!PyArg_ParseTuple(args, "ddddiOO:_vert_line", &x0, &y0, &x1, &y1, &xmax, &p_min, &p_max)) { return NULL; } if (!PyArray_Check(p_min) || !PyArray_Check(p_max)) { PyErr_SetString(PyExc_TypeError, "imin, imax must be ndarray"); return NULL; } if (PyArray_TYPE(p_min) != NPY_INT32 || PyArray_TYPE(p_max) != NPY_INT32) { PyErr_SetString(PyExc_TypeError, "imin, imax must be int ndarray"); return NULL; } Array1D pmin(p_min), pmax(p_max); vector imin, imax; int nx = int(max(y0, y1)) + 1; if (pmin.ni < nx || pmax.ni < nx) { PyErr_SetString(PyExc_TypeError, "imin, imax not large enough"); return NULL; } if (y0 < 0 || y1 < 0) { PyErr_SetString(PyExc_ValueError, "y bounds must be positive"); } imin.resize(nx); imax.resize(nx); for (int i = 0; i < nx; ++i) { imin[i] = pmin.value(i); imax[i] = pmax.value(i); } Array2D dummy; vert_line(x0, y0, x1, y1, xmax, imin, imax, false, 0, dummy); for (int i = 0; i < nx; ++i) { pmin.value(i) = imin[i]; pmax.value(i) = imax[i]; } Py_INCREF(Py_None); return Py_None; } PlotPyStack-PlotPy-2af0906/src/points.hpp000066400000000000000000000171511525747167300203470ustar00rootroot00000000000000/* -*- coding: utf-8;mode:c++;c-file-style:"stroustrup" -*- */ /* Licensed under the terms of the BSD 3-Clause (see plotpy/__init__.py for details) */ #ifndef __POINTS_HPP__ #define __POINTS_HPP__ #include "traits.hpp" /* This file defines several classes of 2D points which are used by other algorithms */ class Point { public: typedef double real; typedef num_trait trait; Point() : _ix(0), _iy(0), _x(0.0), _y(0.0) {} real x() const { return _x; } real y() const { return _y; } int ix() const { return _ix; } int iy() const { return _iy; } void setx(real x) { _x = x; _ix = trait::toint(x); } void sety(real y) { _y = y; _iy = trait::toint(y); } void set(real x, real y) { setx(x); sety(y); } void copy(const Point &p) { _ix = p._ix; _iy = p._iy; _x = p._x; _y = p._y; } Point &operator=(const Point &p) { copy(p); return *this; } protected: int _ix, _iy; real _x, _y; }; /* A point that keep track of it's coordinates as double and integers */ class Point2DRectilinear : public Point { public: Point2DRectilinear() : _insidex(true), _insidey(true) {} bool inside() const { return _insidex && _insidey; } void testx(int _m, int _M) { if (_ix < _m || _ix >= _M) { _insidex = false; } else { _insidex = true; } } void testy(int _m, int _M) { if (_iy < _m || _iy >= _M) { _insidey = false; } else { _insidey = true; } } void copy(const Point2DRectilinear &p) { Point::copy(p); _insidex = p._insidex; _insidey = p._insidey; } Point2DRectilinear &operator=(const Point2DRectilinear &p) { copy(p); return *this; } protected: bool _insidex, _insidey; }; /* A special transformation operation that transforms i,j (int) coordinates with a translation and scale */ class ScaleTransform { public: typedef Point2DRectilinear point; typedef point::real real; ScaleTransform(int _nx, int _ny, real _x0, real _y0, real _dx, real _dy) : nx(_nx), ny(_ny), x0(_x0), y0(_y0), dx(_dx), dy(_dy) {} void set(point &p, int x, int y) const { p.set(x0 + x * dx, y0 + y * dy); p.testx(0, nx); p.testy(0, ny); } void incx(point &p, real k = 1) const { p.setx(p.x() + k * dx); p.testx(0, nx); } void incy(point &p, real k = 1) const { p.sety(p.y() + k * dy); p.testy(0, ny); } public: int nx, ny; real x0, y0; real dx, dy; }; class Point2D : public Point { public: Point2D() : _inside(true) {} bool inside() const { return _inside; } void copy(const Point2D &p) { Point::copy(p); _inside = p._inside; } Point2D &operator=(const Point2D &p) { copy(p); return *this; } void test(int _xm, int _xM, int _ym, int _yM) { if ((_ix < _xm) || (_ix >= _xM) || (_iy < _ym) || (_iy >= _yM)) { _inside = false; } else { _inside = true; } } bool _inside; }; class LinearTransform { public: typedef Point2D point; typedef point::real real; LinearTransform(int _nx, int _ny, real _x0, real _y0, real _xx, real _xy, real _yx, real _yy) : nx(_nx), ny(_ny), x0(_x0), y0(_y0), xx(_xx), xy(_xy), yx(_yx), yy(_yy) { } void set(point &p, int x, int y) const { p.set(x0 + x * xx + y * xy, y0 + x * yx + y * yy); p.test(0, nx, 0, ny); } void incx(point &p, real k = 1) const { p.set(p.x() + k * xx, p.y() + k * yx); p.test(0, nx, 0, ny); } void incy(point &p, real k = 1) const { p.set(p.x() + k * xy, p.y() + k * yy); p.test(0, nx, 0, ny); } public: int nx, ny; real x0, y0; real xx, xy, yx, yy; }; template class Point2DAxis : public Point { public: Point2DAxis() : _insidex(true), _insidey(true) {} bool inside() const { return _insidex && _insidey; } void set(const axis_type &ax, real x, const axis_type &ay, real y) { setx(ax, x); sety(ay, y); } void setx(const axis_type &ax, real x) { _ix = -1; _x = x; while (_ix < ax.ni - 1 && ax.value(_ix + 1) < x) { ++_ix; } } void sety(const axis_type &ay, real y) { _iy = -1; _y = y; while (_iy < ay.ni - 1 && ay.value(_iy + 1) < y) { ++_iy; } } void incx(const axis_type &ax, real dx) { _x += dx; if (dx < 0) { while (_ix >= 0 && ax.value(_ix) >= _x) { --_ix; } } else { while (_ix < ax.ni - 1 && ax.value(_ix + 1) < _x) { ++_ix; } } } void incy(const axis_type &ay, real dy) { _y += dy; if (dy < 0) { while (_iy >= 0 && ay.value(_iy) >= _y) { --_iy; } } else { while (_iy < ay.ni - 1 && ay.value(_iy + 1) < _y) { ++_iy; } } } void copy(const Point2DAxis &p) { Point::copy(p); _insidex = p._insidex; _insidey = p._insidey; } Point2DAxis &operator=(const Point2DAxis &p) { copy(p); return *this; } bool _insidex, _insidey; }; template class XYTransform { public: typedef Point2DAxis point; typedef typename point::real real; XYTransform(int _nx, int _ny, const axis_type &_ax, const axis_type &_ay, real _x0, real _y0, real _dx, real _dy) : nx(_nx), ny(_ny), ax(_ax), ay(_ay), x0(_x0), y0(_y0), dx(_dx), dy(_dy) {} void testx(point &p) const { if (p.ix() < 0 || p.ix() >= nx) { p._insidex = false; } else { p._insidex = true; } } void testy(point &p) const { if (p.iy() < 0 || p.iy() >= ny) { p._insidey = false; } else { p._insidey = true; } } void set(point &p, int x, int y) const { p.set(ax, x0 + x * dx, ay, y0 + y * dy); testx(p); testy(p); } void incx(point &p, real k = 1) const { p.incx(ax, k * dx); testx(p); } void incy(point &p, real k = 1) const { p.incy(ay, k * dy); testy(p); } public: int nx, ny; const axis_type &ax; const axis_type &ay; real x0, y0; real dx, dy; }; #endif PlotPyStack-PlotPy-2af0906/src/scaler.cpp000066400000000000000000000620611525747167300202770ustar00rootroot00000000000000/* -*- coding: utf-8;mode:c++;c-file-style:"stroustrup" -*- */ /* Licensed under the terms of the BSD 3-Clause (see plotpy/__init__.py for details) */ #include #undef NO_IMPORT_ARRAY #define PY_ARRAY_UNIQUE_SYMBOL PyScalerArray #include #ifdef _MSC_VER #include #define FE_TOWARDZERO _RC_CHOP #define fegetround() (_controlfp(0, 0) & _MCW_RC) int fesetround(int r) { if ((r & _MCW_RC) == r) { /* check the supplied value is one of those allowed */ int result = _controlfp(r, _MCW_RC) & _MCW_RC; return !(r == result); } return !0; } #else #include #endif #include #if defined(_MSC_VER) || defined(__MINGW32__) #define isnan(x) _isnan(x) #endif #include #include #include #include #include "points.hpp" #include "arrays.hpp" #include "scaler.hpp" using std::max; using std::min; using std::swap; using std::vector; enum { INTERP_NEAREST = 0, INTERP_LINEAR = 1, INTERP_AA = 2 }; typedef union { npy_uint32 v; npy_uint8 c[4]; } rgba_t; typedef XYTransform> XYScale; template struct params { typedef Transform transform_type; params(PyArrayObject *_src, PyArrayObject *_dst, PyObject *_dst_data, PyObject *_lut, PyObject *_interp, Transform &_trans) : p_dst(_dst), p_dst_data(_dst_data), p_src(_src), p_lut(_lut), p_interpolation(_interp), trans(_trans) { } // Source, dest, coordinate transformation PyArrayObject *p_dst; PyObject *p_dst_data; PyArrayObject *p_src; PyObject *p_lut; // Pixel value transformation tuple PyObject *p_interpolation; Transform &trans; int dx1, dx2, dy1, dy2; }; template struct NearestInterpolation { T operator()(const Array2D &src, const TR &tr, const typename TR::point &p) { int nx = p.ix(); int ny = p.iy(); return src.value(nx, ny); } }; template struct LinearInterpolation { T operator()(const Array2D &src, const TR &tr, const typename TR::point &p) { int nx = p.ix(); int ny = p.iy(); double v = src.value(nx, ny); double a = 0; // The following couple of lines were commented out to avoid disabling // the linear interpolation on image edges. Demonstrating the effect of // this change is quite easy: just try to show a very small image // (e.g. 10x10) with pyplot.imshow for example. // if (nx==0||nx==src.nj-1) return (T)v; // if (ny==0||ny==src.ni-1) return (T)v; if (nx < src.nj - 1) { a = p.x() - nx; v = (1 - a) * v + a * src.value(nx + 1, ny); } if (ny >= src.ni - 1) return (T)v; double v2 = src.value(nx, ny + 1); double b = p.y() - ny; if (nx < src.nj - 1) { v2 = (1 - a) * v2 + a * src.value(nx + 1, ny + 1); } return (T)(v * (1 - b) + b * v2); } }; template struct LinearInterpolation { npy_uint32 operator()(const Array2D &src, const TR &tr, const typename TR::point &p) { int k; int nx = p.ix(); int ny = p.iy(); rgba_t p1, p2, p3, p4, r; p1.v = src.value(nx, ny); float v[4], v2[4]; double a = 0; if (nx < src.nj - 1) { p2.v = src.value(nx + 1, ny); a = p.x() - nx; for (k = 0; k < 4; ++k) { v[k] = (1 - a) * p1.c[k] + a * p2.c[k]; } } else { for (k = 0; k < 4; ++k) { v[k] = p1.c[k]; } } if (ny >= src.ni - 1) { for (k = 0; k < 4; ++k) { r.c[k] = (npy_uint8)(v[k]); } return r.v; } p3.v = src.value(nx, ny + 1); double b = p.y() - ny; if (nx < src.nj - 1) { p4.v = src.value(nx + 1, ny + 1); for (k = 0; k < 4; ++k) { v2[k] = (1 - a) * p3.c[k] + a * p4.c[k]; } } else { for (k = 0; k < 4; ++k) { v2[k] = p3.c[k]; } } for (k = 0; k < 4; ++k) { float px = v[k] * (1 - b) + b * v2[k]; if (px < 0.0) px = 0.0; if (px > 255.0) px = 255.0; r.c[k] = (npy_uint8)px; } return r.v; } }; #if 0 template struct QuadInterpolation { T operator()(const Array2D& src, const TR& tr, const typename TR::point& p) { int nx = p.ix(); int ny = p.iy(); double v = src.value(nx, ny); double a=0; if (nx==0||nx==src.nj-1) return src.value(nx,ny); if (ny==0||ny==src.ni-1) return src.value(nx,ny); v0 = interp(src.value(nx-1,ny-1)); if (nx=src.ni-1) return v; double v2 = src.value(nx,ny+1); double b = p.y()-ny; if (nx struct LinearInterpolation { T operator()(const Array2D &src, const XYScale &tr, const typename XYScale::point &p) { int nx = p.ix(); int ny = p.iy(); double v = src.value(nx, ny); double a = 0; if (nx == 0 || nx == src.nj - 1) return (T)v; if (ny == 0 || ny == src.ni - 1) return (T)v; if (nx < src.nj - 1) { double x0 = tr.ax.value(nx); double x1 = tr.ax.value(nx + 1); a = (p.x() - x0) / (x1 - x0); v = (1 - a) * v + a * src.value(nx + 1, ny); } if (ny >= src.ni - 1) return (T)v; double v2 = src.value(nx, ny + 1); double y0 = tr.ay.value(ny); double y1 = tr.ay.value(ny + 1); double b = (p.y() - y0) / (y1 - y0); if (nx < src.nj - 1) { v2 = (1 - a) * v2 + a * src.value(nx + 1, ny + 1); } return (T)(v * (1 - b) + b * v2); } }; template <> struct LinearInterpolation { npy_uint32 operator()(const Array2D &src, const XYScale &tr, const XYScale::point &p) { return 0; } }; template struct SubSampleInterpolation { SubSampleInterpolation(const Array2D &_mask) : mask(_mask) { ki = 1. / (mask.ni - 1); kj = 1. / (mask.nj - 1); } T operator()(const Array2D &src, const TR &tr, const typename TR::point &p0) { int i, j; typename TR::point p, p1; typename num_trait::large_type value = 0; typename num_trait::large_type count = 0, msk, val; p1.copy(p0); tr.incy(p1, -0.5); tr.incx(p1, -0.5); for (i = 0; i < mask.ni; ++i) { p.copy(p1); for (j = 0; j < mask.nj; ++j) { if (p.inside()) { msk = mask.value(j, i); val = src.value(p.ix(), p.iy()); value += msk * val; count += msk; // printf("i,j=%d,%d : %f,%f / %d,%d = %lfx%lf\n", i, j, p.x(), p.y(), p.ix(), p.iy(), (double)val, (double)msk ); } tr.incx(p, kj); } tr.incy(p1, ki); } // printf("%d/%d\n", (int)value, (int)count); if (count) return value / count; else return value; } typename TR::real ki, kj; const Array2D &mask; }; template void _scale_rgb(DEST &dest, Array2D &src, const Scale &scale, const Trans &tr, int dx1, int dy1, int dx2, int dy2, Interpolation &interpolate) { int i, j; ST val; int round = fegetround(); PixelIterator it(dest); typename Trans::point p, p0; fesetround(FE_TOWARDZERO); /* printf("SRC: ni=%d nj=%d\n", src.ni, src.nj); printf("TR: dx=%lf dy=%lf\n", tr.dx, tr.dy); printf("DST: ni=%d nj=%d si=%d sj=%d\n", dest.ni, dest.nj, dest.si, dest.sj); */ tr.set(p0, dx1, dy1); for (i = dy1; i < dy2; ++i) { it.moveto(dx1, i); p = p0; for (j = dx1; j < dx2; ++j) { if (!p.inside()) { scale.set_bg(it()); } else { val = interpolate(src, tr, p); if (isnan(val)) { scale.set_bg(it()); } else { it() = scale.eval(val); } } tr.incx(p); it.move(1, 0); } tr.incy(p0); } fesetround(round); } static bool check_dispatch_type(const char *name, PyArrayObject *p_src) { if (PyArray_TYPE(p_src) != NPY_DOUBLE && PyArray_TYPE(p_src) != NPY_FLOAT && PyArray_TYPE(p_src) != NPY_UINT64 && PyArray_TYPE(p_src) != NPY_INT64 && PyArray_TYPE(p_src) != NPY_UINT32 && PyArray_TYPE(p_src) != NPY_INT32 && PyArray_TYPE(p_src) != NPY_UINT16 && PyArray_TYPE(p_src) != NPY_INT16 && PyArray_TYPE(p_src) != NPY_UINT8 && PyArray_TYPE(p_src) != NPY_INT8 && PyArray_TYPE(p_src) != NPY_BOOL) { PyErr_Format(PyExc_TypeError, "%s data type must be one of the following:" " double, float, uint64, int64, uint32, int32, uint16, int16, uint8, int8, bool", name); return false; } return true; } static bool check_array_2d(const char *name, PyArrayObject *arr, int dtype) { if (!PyArray_Check(arr)) { PyErr_Format(PyExc_TypeError, "%s must be a ndarray", name); return false; } if (PyArray_NDIM(arr) != 2) { PyErr_Format(PyExc_TypeError, "%s must be 2-D array", name); return false; } if (dtype >= 0 && PyArray_TYPE(arr) != dtype) { PyErr_Format(PyExc_TypeError, "%s data type must be %d", name, dtype); return false; } return true; } bool check_arrays(PyArrayObject *p_src, PyArrayObject *p_dest) { if (!PyArray_Check(p_src) || !PyArray_Check(p_dest)) { PyErr_SetString(PyExc_TypeError, "src and dst must be ndarrays"); return false; } if (PyArray_TYPE(p_dest) != NPY_UINT32 && PyArray_TYPE(p_dest) != NPY_FLOAT32 && PyArray_TYPE(p_dest) != NPY_FLOAT64) { PyErr_SetString(PyExc_TypeError, "dst data type must be uint32 or float"); return false; } if (PyArray_NDIM(p_src) != 2 || PyArray_NDIM(p_dest) != 2) { PyErr_SetString(PyExc_TypeError, "dst and src must be 2-D arrays"); return false; } return check_dispatch_type("src", p_src); } bool check_lut(PyArrayObject *p_lut) { if (!PyArray_Check(p_lut)) { PyErr_SetString(PyExc_TypeError, "lut must be an ndarray"); return false; } if (PyArray_NDIM(p_lut) != 1) { PyErr_SetString(PyExc_TypeError, "lut must be a 1D array"); return false; } if (PyArray_TYPE(p_lut) != NPY_UINT32) { PyErr_SetString(PyExc_TypeError, "lut data type must be uint32"); return false; } return true; } static bool check_transform(PyArrayObject *p_tr) { if (!PyArray_Check(p_tr)) { PyErr_SetString(PyExc_TypeError, "transform must be an ndarray"); return false; } if (PyArray_TYPE(p_tr) != NPY_DOUBLE) { PyErr_SetString(PyExc_TypeError, "transform data type must be float"); return false; } int ni = PyArray_DIM(p_tr, 0); int nj = PyArray_DIM(p_tr, 1); if (ni != 3 || nj != 3) { PyErr_SetString(PyExc_TypeError, "transform must be 3x3"); return false; } return true; } static void check_image_bounds(int ni, int nj, int &dx, int &dy) { if (dx < 0) dx = 0; if (dy < 0) dy = 0; if (dx > nj) dx = nj; if (dy > ni) dy = ni; } template static bool scale_src_dst_interp(Params &p, PixelScale &pixel_scale, Interp &interp) { typedef typename PixelScale::source_type ST; typedef typename PixelScale::dest_type DT; Array2D src(p.p_src); Array2D
dst(p.p_dst); _scale_rgb(dst, src, pixel_scale, p.trans, p.dx1, p.dy1, p.dx2, p.dy2, interp); return true; } template static bool scale_src_dst(Params &p, PixelScale &pixel_scale) { typedef typename PixelScale::source_type ST; typedef typename Params::transform_type TR; typedef NearestInterpolation Nearest; typedef SubSampleInterpolation SubAA; typedef LinearInterpolation Linear; int interpolation; PyArrayObject *p_mask = 0; if (!PyArg_ParseTuple(p.p_interpolation, "i|O", &interpolation, &p_mask)) { PyErr_SetString(PyExc_ValueError, "Can't interpret interpolation"); return false; } switch (interpolation) { case INTERP_NEAREST: { Nearest interp; return scale_src_dst_interp(p, pixel_scale, interp); } case INTERP_AA: { if (!check_array_2d("AA Mask", p_mask, PyArray_TYPE(p.p_src))) return false; Array2D mask(p_mask); SubAA interp(mask); return scale_src_dst_interp(p, pixel_scale, interp); } case INTERP_LINEAR: { Linear interp; return scale_src_dst_interp(p, pixel_scale, interp); } default: PyErr_SetString(PyExc_ValueError, "Unknown interpolation type"); return false; }; } /* we know the transformation and source type, now we dispatch on the destination type, which determines the LUT transformation */ template static bool scale_src_bw(Params &p) { typedef LutScale color_scale; typedef LinearScale bw32_scale; typedef LinearScale bw64_scale; double a, b; PyObject *p_bg; PyArrayObject *p_cmap = 0; bool apply_bg = true; if (!PyArg_ParseTuple(p.p_lut, "ddO|O", &a, &b, &p_bg, &p_cmap)) { PyErr_SetString(PyExc_ValueError, "Can't interpret pixel transformation tuple"); return false; } if (p_bg == Py_None) apply_bg = false; switch (PyArray_TYPE(p.p_dst)) { case NPY_UINT32: { /* Destination is RGB */ unsigned long bg = 0; if (apply_bg) { #if PY_MAJOR_VERSION >= 3 bg = PyLong_AsUnsignedLongMask(p_bg); #else bg = PyInt_AsUnsignedLongMask(p_bg); #endif if (PyErr_Occurred()) return false; } if (!check_lut(p_cmap)) { return false; } Array1D cmap(p_cmap); color_scale scale(a, b, cmap, bg, apply_bg); return scale_src_dst(p, scale); } case NPY_FLOAT32: { double bg = 0.0; if (apply_bg) { bg = PyFloat_AsDouble(p_bg); if (PyErr_Occurred()) return false; } bw32_scale scale(a, b, bg, apply_bg); return scale_src_dst(p, scale); } case NPY_FLOAT64: { double bg = 0.0; if (apply_bg) { bg = PyFloat_AsDouble(p_bg); if (PyErr_Occurred()) return false; } bw64_scale scale(a, b, bg, apply_bg); return scale_src_dst(p, scale); } default: PyErr_SetString(PyExc_TypeError, "Destination array must be uint32 (rgb) or float (BW)"); return false; } } template static bool scale_src_rgb(Params &p) { // Special case p_lut = None NoScale scale(0, false); return scale_src_dst>(p, scale); } template static PyObject *dispatch_source(Params &p) { bool ok; int dni = PyArray_DIM(p.p_dst, 0); int dnj = PyArray_DIM(p.p_dst, 1); if (!PyArg_ParseTuple(p.p_dst_data, "iiii", &p.dx1, &p.dy1, &p.dx2, &p.dy2)) { PyErr_SetString(PyExc_ValueError, "Invalid destination rectangle (expected tuple of 4 integers)"); return NULL; } if (p.dx2 < p.dx1) swap(p.dx1, p.dx2); if (p.dy2 < p.dy1) swap(p.dy1, p.dy2); check_image_bounds(dni, dnj, p.dx1, p.dy1); check_image_bounds(dni, dnj, p.dx2, p.dy2); switch (PyArray_TYPE(p.p_src)) { case NPY_FLOAT32: ok = scale_src_bw(p); break; case NPY_FLOAT64: ok = scale_src_bw(p); break; case NPY_UINT64: ok = scale_src_bw(p); break; case NPY_INT64: ok = scale_src_bw(p); break; case NPY_INT32: ok = scale_src_bw(p); break; case NPY_UINT32: // RGBA ok = scale_src_rgb(p); break; case NPY_UINT16: ok = scale_src_bw(p); break; case NPY_INT16: ok = scale_src_bw(p); break; case NPY_UINT8: ok = scale_src_bw(p); break; case NPY_INT8: ok = scale_src_bw(p); break; case NPY_BOOL: ok = scale_src_bw(p); break; default: PyErr_SetString(PyExc_TypeError, "Unknown source data type"); return NULL; } if (!ok) return NULL; return Py_BuildValue("iiii", p.dx1, p.dy1, p.dx2, p.dy2); } /* Input data : SRC, SRC_DATA, DST, DST_DATA, LUT_DATA SRC : PyArrayObject (i8,u8,i16,u16,float32,float64) DST : PyArrayObject : u32 -> rgb, float32 : bw SRC_DATA : varies : Scale : source rect (x1,y1,x2,y2) Transform : transformation matrix XY : source rect, X array, Y array DST_DATA : dest rect (dx1,dy1,dx2,dy2) LUT_DATA : (a,b,bg) if DST is bw or (a,b,bg,cmap) if DST is rgb */ static PyObject *py_scale_xy(PyObject *self, PyObject *args) { typedef params Params; PyArrayObject *p_src = 0, *p_dst = 0, *p_ax = 0, *p_ay = 0; PyObject *p_lut_data, *p_src_data, *p_dst_data, *p_interp_data; double x1, y1, x2, y2; if (!PyArg_ParseTuple(args, "OOOOOO:_scale_xy", &p_src, &p_src_data, &p_dst, &p_dst_data, &p_lut_data, &p_interp_data)) { return NULL; } if (!check_arrays(p_src, p_dst)) { return NULL; } if (!PyArg_ParseTuple(p_src_data, "OO(dddd):_scale_xy", &p_ax, &p_ay, &x1, &y1, &x2, &y2)) { return NULL; } int ni = PyArray_DIM(p_src, 0); int nj = PyArray_DIM(p_src, 1); int dni = PyArray_DIM(p_dst, 0); int dnj = PyArray_DIM(p_dst, 1); double dx = (x2 - x1) / dnj; double dy = (y2 - y1) / dni; Array1D ax(p_ax), ay(p_ay); XYScale trans(nj, ni, ax, ay, x1, y1, dx, dy); Params scale_params(p_src, p_dst, p_dst_data, p_lut_data, p_interp_data, trans); // examine source type return dispatch_source(scale_params); } static PyObject *py_scale_tr(PyObject *self, PyObject *args) { typedef params Params; PyArrayObject *p_src = 0, *p_dst = 0, *p_tr; PyObject *p_lut_data, *p_dst_data, *p_interp_data; if (!PyArg_ParseTuple(args, "OOOOOO:_scale_tr", &p_src, &p_tr, &p_dst, &p_dst_data, &p_lut_data, &p_interp_data)) { return NULL; } if (!check_arrays(p_src, p_dst)) { return NULL; } if (!check_transform(p_tr)) { return NULL; } int ni = PyArray_DIM(p_src, 0); int nj = PyArray_DIM(p_src, 1); Array2D tr(p_tr); LinearTransform trans(nj, ni, tr.value(2, 0), tr.value(2, 1), // x0, y0 tr.value(0, 0), tr.value(1, 0), // xx, xy tr.value(0, 1), tr.value(1, 1) // yx, yy ); Params scale_params(p_src, p_dst, p_dst_data, p_lut_data, p_interp_data, trans); // examine source type return dispatch_source(scale_params); } static PyObject *py_scale_rect(PyObject *self, PyObject *args) { typedef params Params; PyArrayObject *p_src = 0, *p_dst = 0; PyObject *p_lut_data, *p_dst_data, *p_interp_data, *p_src_data; double x1, x2, y1, y2; if (!PyArg_ParseTuple(args, "OOOOOO:_scale_rect", &p_src, &p_src_data, &p_dst, &p_dst_data, &p_lut_data, &p_interp_data)) { return NULL; } if (!check_arrays(p_src, p_dst)) { return NULL; } if (!PyArg_ParseTuple(p_src_data, "dddd:_scale_rect", &x1, &y1, &x2, &y2)) { return NULL; } int ni = PyArray_DIM(p_src, 0); int nj = PyArray_DIM(p_src, 1); int dni = PyArray_DIM(p_dst, 0); int dnj = PyArray_DIM(p_dst, 1); double dx = (x2 - x1) / dnj; double dy = (y2 - y1) / dni; ScaleTransform trans(nj, ni, x1, y1, dx, dy); Params scale_params(p_src, p_dst, p_dst_data, p_lut_data, p_interp_data, trans); // examine source type return dispatch_source(scale_params); } class Histogram { public: Histogram(PyArrayObject *_data, PyArrayObject *_bins, PyArrayObject *_res, int ignore_bounds) : p_data(_data), p_bins(_bins), p_res(_res), mode(ignore_bounds) { } template void run() { Array1D res(p_res); Array1D data(p_data); Array1D bins(p_bins); typename Array1D::iterator it, end, bin, bin0, bin1; end = data.end(); bin0 = bins.begin(); bin1 = bins.end(); for (it = data.begin(); it < end; ++it) { bin = std::lower_bound(bin0, bin1, *it); res.value(bin - bin0)++; } } PyArrayObject *p_data, *p_bins, *p_res; int mode; }; static PyObject *py_histogram(PyObject *self, PyObject *args) { PyArrayObject *p_data = 0, *p_bins = 0, *p_res = 0; int ignore_bounds = 0; if (!PyArg_ParseTuple(args, "OOO|i:_histogram", &p_data, &p_bins, &p_res, &ignore_bounds)) { return NULL; } if (!PyArray_Check(p_data) || !PyArray_Check(p_bins) || !PyArray_Check(p_res)) { PyErr_SetString(PyExc_TypeError, "data, bins, dest must be ndarray"); return NULL; } if (!check_dispatch_type("data", p_data)) { return NULL; } Histogram hist(p_data, p_bins, p_res, ignore_bounds); dispatch_array(PyArray_TYPE(p_data), hist); Py_INCREF(Py_None); return Py_None; } PyObject *py_vert_line(PyObject *self, PyObject *args); PyObject *py_scale_quads(PyObject *self, PyObject *args); static PyMethodDef _meths[] = { {"_scale_xy", py_scale_xy, METH_VARARGS, "transform source to destination with arbitrary X and Y scale"}, {"_scale_tr", py_scale_tr, METH_VARARGS, "Linear transformation of source to destination"}, {"_scale_rect", py_scale_rect, METH_VARARGS, "Linear rescale of source to destination parallel to axes"}, {"_scale_quads", py_scale_quads, METH_VARARGS, "Linear rescale of a structured grid to destination parallel to axes"}, {"_histogram", py_histogram, METH_VARARGS, "Compute histogram of 1d data"}, {"_line_test", py_vert_line, METH_VARARGS, "Rasterize lines"}, {NULL, NULL, 0, NULL} /* Sentinel */ }; #if PY_MAJOR_VERSION >= 3 static struct PyModuleDef moduledef = { PyModuleDef_HEAD_INIT, "_scaler", /* m_name */ "Scaler module", /* m_doc */ -1, /* m_size */ _meths, /* m_methods */ NULL, /* m_reload */ NULL, /* m_traverse */ NULL, /* m_clear */ NULL, /* m_free */ }; #endif PyMODINIT_FUNC #if PY_MAJOR_VERSION >= 3 PyInit__scaler(void) #else init_scaler() #endif { PyObject *m; #if PY_MAJOR_VERSION >= 3 m = PyModule_Create(&moduledef); #else m = Py_InitModule("_scaler", _meths); #endif import_array(); PyModule_AddIntConstant(m, "INTERP_NEAREST", INTERP_NEAREST); PyModule_AddIntConstant(m, "INTERP_LINEAR", INTERP_LINEAR); PyModule_AddIntConstant(m, "INTERP_AA", INTERP_AA); #if PY_MAJOR_VERSION >= 3 return m; #endif } PlotPyStack-PlotPy-2af0906/src/scaler.hpp000066400000000000000000000047731525747167300203120ustar00rootroot00000000000000/* -*- coding: utf-8;mode:c++;c-file-style:"stroustrup" -*- */ /* Licensed under the terms of the BSD 3-Clause (see plotpy/__init__.py for details) */ #ifndef _SCALER_HPP #define _SCALER_HPP #include "points.hpp" #include "arrays.hpp" /* Scaler evaluates int(a*x+b) */ template ::is_integer> struct Scaler { typedef num_trait trait; Scaler(double _a, double _b) : a(trait::fromdouble(_a)), b(trait::fromdouble(_b)) {} int scale(T x) const { return trait::toint(a * x + b); } typename trait::value_type a, b; }; template struct Scaler { typedef num_trait trait; Scaler(double _a, double _b) : a(trait::fromdouble(_a)), b(trait::fromdouble(_b)) {} int scale(T x) const { return trait::toint(a * x + b); } typename trait::value_type a, b; }; template class LinearScale { public: typedef T source_type; typedef D dest_type; LinearScale(double _a, double _b, D _bg, bool apply_bg) : a(_a), b(_b), bg(_bg), has_bg(apply_bg) {} D eval(T x) const { return a * x + b; } void set_bg(D &dest) const { if (has_bg) dest = bg; } protected: D a, b; D bg; bool has_bg; }; template class LutScale { public: typedef T source_type; typedef D dest_type; LutScale(double _a, double _b, Array1D &_lut, D _bg, bool apply_bg) : s(_a, _b), lut(_lut), bg(_bg), has_bg(apply_bg) {} D eval(T x) const { int val = s.scale(x); if (val < 0) { return lut.value(0); } else if (val >= lut.ni) { return lut.value(lut.ni - 1); } return lut.value(val); } void set_bg(D &dest) const { if (has_bg) dest = bg; } protected: Scaler s; Array1D &lut; D bg; bool has_bg; }; template class NoScale { public: typedef T source_type; typedef D dest_type; NoScale(dest_type _bg, bool apply_bg) : bg(_bg), has_bg(apply_bg) {} dest_type eval(source_type x) const { return x; } void set_bg(dest_type &dest) const { if (has_bg) dest = bg; } protected: dest_type bg; bool has_bg; }; bool check_arrays(PyArrayObject *p_src, PyArrayObject *p_dest); bool check_lut(PyArrayObject *p_lut); #endif // _SCALER_HPP PlotPyStack-PlotPy-2af0906/src/traits.hpp000066400000000000000000000100111525747167300203250ustar00rootroot00000000000000/* -*- coding: utf-8;mode:c++;c-file-style:"stroustrup" -*- */ /* Licensed under the terms of the BSD 3-Clause (see plotpy/__init__.py for details) Two lines of the following code are distributed under LGPL license terms and with a different copyright. These two lines are the Visual Studio x86_64 (_M_X64) inline versions of lrint() and lrintf() functions, and were adapted from fast_convert.h (SpanDSP), which is: Copyright ยฉ 2009 Steve Underwood All rights reserved. This program is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License version 2.1, as published by the Free Software Foundation. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. */ #ifndef __TRAITS_HPP__ #define __TRAITS_HPP__ #include /* this class (real_trait) is used to make the code somewhat independent of the real type used (float or double). we don't provide a template parameter on the Point* class to avoid clutter but changing a simple typedef is all it takes to switch from float to double type */ /* MSVC does not have lrint/lrintf */ #ifdef _MSC_VER #if _MSC_VER < 1900 // (Visual Studio 2015 version 14.0) #include __inline long int lrint(double f) { #ifdef _M_X64 return (long int)_mm_cvtsd_si64x(_mm_loadu_pd((const double *)&f)); #else int i; _asm { fld f fistp i } return i; #endif } __inline long int lrintf(float f) { #ifdef _M_X64 return _mm_cvt_ss2si(_mm_load_ss((const float *)&f)); #else int i; _asm { fld f fistp i } return i; #endif } #endif #endif typedef int fixed; template struct num_trait { typedef T value_type; typedef long large_type; static int toint(value_type v) { return (int)v; } static value_type fromdouble(double v) { return (value_type)v; } static const bool is_integer = true; }; template <> struct num_trait { typedef float value_type; typedef float large_type; static int toint(value_type v) { return lrintf(v); } static value_type fromdouble(double v) { return (value_type)v; } static const bool is_integer = false; }; template <> struct num_trait { typedef double value_type; typedef double large_type; static int toint(value_type v) { return lrint(v); } static value_type fromdouble(double v) { return (value_type)v; } static const bool is_integer = false; }; template <> struct num_trait { typedef fixed value_type; typedef fixed large_type; static int toint(value_type v) { return (v >> 15); } static value_type fromdouble(double v) { return lrint(v * 32768.); } static const bool is_integer = false; }; template static void dispatch_array(int npy_type, A &algo) { switch (npy_type) { case NPY_FLOAT32: algo.template run(); break; case NPY_FLOAT64: algo.template run(); break; case NPY_UINT64: algo.template run(); break; case NPY_INT64: algo.template run(); break; case NPY_UINT32: algo.template run(); break; case NPY_INT32: algo.template run(); break; case NPY_UINT16: algo.template run(); break; case NPY_INT16: algo.template run(); break; case NPY_UINT8: algo.template run(); break; case NPY_INT8: algo.template run(); break; case NPY_BOOL: algo.template run(); break; } } #endif