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README.md

PyQtGraph

A pure-Python graphics library for PyQt5/PyQt6/PySide2/PySide6

http://www.pyqtgraph.org

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, PyQt6, PySide2 or PySide6
- numpy 1.17+
Optional
- scipy for image processing
- pyopengl for 3D graphics
  - pyopengl on macOS Big Sur only works with python 3.9.1+
- hdf5 for large hdf5 binary format support
- colorcet for supplemental colormaps
- cupy for 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	❌	❌	✅
PyQt6-6.0	❌	❌	✅

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
From conda
- Last released version: conda install -c conda-forge pyqtgraph
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.