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pyqtgraph

Python

pyqtgraph-0.13.7

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PyQtGraph

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

https://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.
Qt5 5.15, and Qt6 6.2+

Currently this means:

Python 3.10+
Qt 5.15, 6.2+
PyQt5, PyQt6, PySide2, or PySide6
numpy 1.24+

Optional added functionalities

Through 3rd party libraries, additional functionality may be added to PyQtGraph, see the table below for a summary.

Library	Added functionality
`scipy`	Image processing through `ndimage` Data array filtering through `signal`
`pyopengl`	3D graphics Faster image processing
`h5py`	Export in hdf5 format
`colorcet`	Add a collection of perceptually uniform colormaps
`matplotlib`	Export of PlotItem in matplotlib figure Add matplotlib collection of colormaps
`cupy`	CUDA-enhanced image processing Note: On Windows, CUDA toolkit must be >= 11.1
`numba`	Faster image processing
`jupyter_rfb`	Jupyter Notebook support

Support

Report issues on the GitHub issue tracker
Post questions to
- mailing list / forum
- StackOverflow
- GitHub Discussions
- Python Discord

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
Many linux package repositories have release versions.