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Ogi Moore a6971c768d Move and Update test-data repo into pyqtgraph repo
To reduce complexity, and make it easier to add more images and tests,
the images in the `test-data` repository should be merged with the main
repository.  Furthermore, we can remove a lot of the subprocess work in
the image_testing.py file, as we no longer need to have it interact with
git.

The images are not the same.  Images were regenerated with Qt6, and now
have proper big and little endian handling thanks to @pijyoi

Second commit is a slightly modified variant of
2e135ab282d6007b34a3854921be54d0e9efb241 authored by @pijyoi
it is to convert qimages to RGBA8888 for testing.  Image
files were regenerated images for the big/little handling

Fixed issue with bogus test from test_NonUniformImage and generated a
new image
2021-05-31 21:05:00 -07:00
.github Move and Update test-data repo into pyqtgraph repo 2021-05-31 21:05:00 -07:00
benchmarks Bypass makeARGB in some cases (#1786) 2021-05-19 17:21:12 -07:00
doc Make plotting with gradients more fun (#1742) 2021-05-06 23:20:21 -07:00
examples Revert Point.angle behavior change (#1806) 2021-05-27 08:51:06 -07:00
pyqtgraph Move and Update test-data repo into pyqtgraph repo 2021-05-31 21:05:00 -07:00
tests Move and Update test-data repo into pyqtgraph repo 2021-05-31 21:05:00 -07:00
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.coveragerc MNT: hard code the coverage report location 2015-08-01 11:54:15 -04:00
.flake8 Improve target item - incorporate bits from PR 313 (#1318) 2021-04-10 22:42:44 -07:00
.gitignore Protect makeARGB with tests and benchmarks (#1697) 2021-04-15 15:51:21 -07:00
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LICENSE.txt - Major reorganization; we now follow the standard python package structure. 2012-12-26 17:51:52 -05:00
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PyQtGraph

PyPi conda-forge Build Status CodeQL Status Documentation Status Total alerts Language grade: Python

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

Copyright 2020 Luke Campagnola, University of North Carolina at Chapel Hill

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
  • - Not compatible
  • - Tested

Support

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.

Used By

Here is a partial listing of some of the applications that make use of PyQtGraph!

Do you use PyQtGraph in your own project, and want to add it to the list? Submit a pull request to update this listing!