| Name | PlotPy JSON |
| Version |
2.7.5
JSON |
| download |
| home_page | None |
| Summary | Curve and image plotting tools for Python/Qt applications |
| upload_time | 2025-07-15 13:40:51 |
| maintainer | None |
| docs_url | https://pythonhosted.org/PlotPy/ |
| author | None |
| requires_python | <4,>=3.9 |
| license | BSD 3-Clause License
Copyright (c) 2023, CEA-Codra, Pierre Raybaut.
All rights reserved.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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| keywords |
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| VCS |
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| requirements |
Coverage
Cython
Pillow
PyQt5
PythonQwt
SciPy
babel
build
guidata
myst_parser
numpy
pylint
pytest
pytest-xvfb
python-docs-theme
ruff
scikit-image
sphinx
sphinx-copybutton
sphinx_qt_documentation
tifffile
|
| Travis-CI |
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|
# PlotPy: Curve and image plotting tools for Python/Qt applications
[](https://pypi.org/project/plotpy/)
[](https://github.com/PlotPyStack/plotpy/)
[](https://pypi.python.org/pypi/plotpy/)
[](https://www.anaconda.com/download/)
âšī¸ Created in 2016 by [Pierre Raybaut](https://github.com/PierreRaybaut) and maintained by the [PlotPyStack](https://github.com/PlotPyStack) organization.
âšī¸ PlotPy ***V2*** is the new major release of [`guiqwt`](https://github.com/PierreRaybaut/guiqwt): same team đī¸, same goal đ¯, same long-term support âŗ.
## 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
<img src="https://raw.githubusercontent.com/PlotPyStack/plotpy/master/doc/images/panorama.png">
See [documentation](https://plotpy.readthedocs.io/en/latest/) for more details on the library and [changelog](https://github.com/PlotPyStack/PlotPy/blob/master/CHANGELOG.md) for recent history of changes.
Copyrights and licensing:
* Copyright Š 2023 [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, 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, ...
* 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 | â
| â ī¸ | â | â ī¸ |
| Latest | â
| â
| â | â
|
### Other dependencies and installation
See [Installation](https://plotpy.readthedocs.io/en/latest/intro/installation.html) section in the documentation for more details.
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"description": "# PlotPy: Curve and image plotting tools for Python/Qt applications\n\n[](https://pypi.org/project/plotpy/)\n[](https://github.com/PlotPyStack/plotpy/)\n[](https://pypi.python.org/pypi/plotpy/)\n[](https://www.anaconda.com/download/)\n\n\u2139\ufe0f Created in 2016 by [Pierre Raybaut](https://github.com/PierreRaybaut) and maintained by the [PlotPyStack](https://github.com/PlotPyStack) organization.\n\n\u2139\ufe0f PlotPy ***V2*** is the new major release of [`guiqwt`](https://github.com/PierreRaybaut/guiqwt): same team \ud83c\udfcb\ufe0f, same goal \ud83c\udfaf, same long-term support \u23f3.\n\n## Overview\n\n`plotpy` is is a Python library providing efficient 2D data-plotting features for interactive computing and signal/image processing application development.\nIt is part of the [PlotPyStack](https://github.com/PlotPyStack) project, aiming at providing a unified framework for creating scientific GUIs with Python and Qt.\n\n`plotpy` is based on:\n\n* [Python](http://www.python.org) language and [Qt](https://doc.qt.io/) GUI toolkit\n* [guidata](https://pypi.python.org/pypi/guidata) automatic GUI generation library\n* [PythonQwt](https://pypi.python.org/pypi/PythonQwt) plotting widgets library\n* [NumPy](https://pypi.python.org/pypi/NumPy) and [SciPy](https://pypi.python.org/pypi/SciPy) scientific computing libraries\n\n<img src=\"https://raw.githubusercontent.com/PlotPyStack/plotpy/master/doc/images/panorama.png\">\n\nSee [documentation](https://plotpy.readthedocs.io/en/latest/) for more details on the library and [changelog](https://github.com/PlotPyStack/PlotPy/blob/master/CHANGELOG.md) for recent history of changes.\n\nCopyrights and licensing:\n\n* Copyright \u00a9 2023 [CEA](https://www.cea.fr), [Codra](https://codra.net/), [Pierre Raybaut](https://github.com/PierreRaybaut).\n* Licensed under the terms of the BSD 3-Clause (see [LICENSE](https://github.com/PlotPyStack/PlotPy/blob/master/LICENSE)).\n\n## Features\n\nThe `plotpy` library also provides the following features.\n\nGeneral plotting features:\n\n* Ready-to-use [plot widgets and dialog boxes](https://plotpy.readthedocs.io/en/latest/features/plot/index.html)\n* [pyplot](https://plotpy.readthedocs.io/en/latest/features/pyplot.html): interactive plotting widgets, equivalent to `matplotlib.pyplot`, at least for the implemented functions\n* Supported [plot items](https://plotpy.readthedocs.io/en/latest/features/items/index.html): curves, images, contours, histograms, labels, shapes, annotations, ...\n\nInteractive features (i.e. not only programmatic plotting but also with mouse/keyboard):\n\n* Multiple object selection for moving objects or editing their properties through automatically generated dialog boxes\n* Item list panel: move objects from foreground to background, show/hide objects, remove objects, ...\n* Customizable aspect ratio for images\n* Tons of ready-to-use tools: plot canvas export to image file, image snapshot, interval selection, image rectangular filter, etc.\n* Curve fitting tool with automatic fit, manual fit with sliders, ...\n* Contrast adjustment panel for images: select the LUT by moving a range selection object on the image levels histogram, eliminate outliers, ...\n* X-axis and Y-axis cross-sections: support for multiple images, average cross-section tool on a rectangular area, ...\n* Apply any affine transform to displayed images in real-time (rotation, magnification, translation, horizontal/vertical flip, ...)\n\nApplication development helpers:\n\n* Ready-to-use [plot widgets and dialog boxes](https://plotpy.readthedocs.io/en/latest/features/plot/index.html)\n* Load/save graphical objects (curves, images, shapes) into HDF5, JSON or INI files\n* A lot of test scripts which demonstrate `plotpy` features (see [examples](https://plotpy.readthedocs.io/en/latest/intro/examples.html))\n\n## Dependencies and installation\n\n### Supported Qt versions and bindings\n\nThe 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).\n\nCompatibility table:\n\n| PlotPy version | PyQt5 | PyQt6 | PySide2 | PySide6 |\n|----------------|-------|-------|---------|---------|\n| 2.0-2.5 | \u2705 | \u26a0\ufe0f | \u274c | \u26a0\ufe0f |\n| Latest | \u2705 | \u2705 | \u274c | \u2705 |\n\n### Other dependencies and installation\n\nSee [Installation](https://plotpy.readthedocs.io/en/latest/intro/installation.html) section in the documentation for more details.\n",
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