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PyQtGraph
A pure-Python graphics library for PyQt5/PySide2/PySide6
Copyright 2020 Luke Campagnola, University of North Carolina at Chapel Hill
PyQtGraph is intended for use in mathematics / scientific / engineering applications. Despite being written entirely in python, the library is fast due to its heavy leverage of numpy for number crunching, Qt's GraphicsView framework for 2D display, and OpenGL for 3D display.
Requirements
pyqtgraph has adopted NEP 29.
This project supports:
- All minor versions of Python released 42 months prior to the project, and at minimum the two latest minor versions.
- All minor versions of numpy released in the 24 months prior to the project, and at minimum the last three minor versions.
- All minor versions of Qt 5 and Qt 6 currently supported by upstream Qt
Currently this means:
- Python 3.7+
- Qt 5.12-6.0
- Required
- PyQt5, PySide2 or PySide6
numpy1.17+
- Optional
scipyfor image processingpyopenglfor 3D graphicspyopenglon macOS Big Sur only works with python 3.9.1+
hdf5for large hdf5 binary format supportcolorcetfor supplemental colormapscupyfor CUDA-enhanced image processing- On Windows, CUDA toolkit must be >= 11.1
Qt Bindings Test Matrix
The following table represents the python environments we test in our CI system. Our CI system uses Ubuntu 20.04, Windows Server 2019, and macOS 10.15 base images.
| Qt-Bindings | Python 3.7 | Python 3.8 | Python 3.9 |
|---|---|---|---|
| PySide2-5.12 | ✅ | ❌ | ❌ |
| PyQt5-5.12 | ✅ | ❌ | ❌ |
| PySide2-5.15 | ❌ | ✅ | ❌ |
| PyQt5-5.15 | ❌ | ✅ | ✅ |
| PySide6-6.0 | ❌ | ❌ | ✅ |
Support
- Report issues on the GitHub issue tracker
- Post questions to the mailing list / forum or StackOverflow
Installation Methods
- From PyPI:
- Last released version:
pip install pyqtgraph - Latest development version:
pip install git+https://github.com/pyqtgraph/pyqtgraph@master
- Last released version:
- From conda
- Last released version:
conda install -c conda-forge pyqtgraph
- Last released version:
- To install system-wide from source distribution:
python setup.py install - Many linux package repositories have release versions.
- To use with a specific project, simply copy the pyqtgraph subdirectory anywhere that is importable from your project.
Documentation
The official documentation lives at pyqtgraph.readthedocs.io
The easiest way to learn pyqtgraph is to browse through the examples; run python -m pyqtgraph.examples to launch the examples application.