6fed6d42b3
* update to working * cupy tests, too * doubling up and down * add more realism to the benchmarks * name to reflect scale * use different numbers to mean different numbers (that sure does sound tautological) * more sensible: order, error * thorough check of lots of makeARGB arg combos * docstring for tool usage * no print needed * better error messages * test makeARGB using cupy, too * skip without cupy available * switch from conda to venv * skip cupy runs when not available * use endian-proof makeARGB shim in tests * generate the asv conf to suit the system * document running asv * comments for future matrix goals * put all makeARGB tests together; name for clarity * subprocess.check_output is standard for all supported pythons * better handle lack of git version * use makeARGB shim * small fixes and improvements |
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| .github | ||
| benchmarks | ||
| doc | ||
| examples | ||
| pyqtgraph | ||
| tools | ||
| .coveragerc | ||
| .flake8 | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| .readthedocs.yml | ||
| CHANGELOG | ||
| CONTRIBUTING.md | ||
| LICENSE.txt | ||
| MANIFEST.in | ||
| pytest.ini | ||
| README.md | ||
| setup.py | ||
| test.py | ||
| tox.ini | ||
PyQtGraph
A pure-Python graphics library for PyQt5/PyQt6/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, PyQt6, 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 | ❌ | ❌ | ✅ |
| 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
- 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.
Used By
Here is a partial listing of some of the applications that make use of PyQtGraph!
- ACQ4
- Orange3
- neurotic
- ephyviewer
- Joulescope
- rapidtide
- argos
- PySpectra
- Semi-Supervised Semantic Annotator
Do you use PyQtGraph in your own project, and want to add it to the list? Submit a pull request to update this listing!