ASCEE
/
pyqtgraph
4
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Clean up redundancy in README

This commit is contained in:
Kenneth Lyons 2021-07-11 09:50:03 -07:00
parent 6b4385ce0d
commit bb94290d8e
1 changed files with 8 additions and 17 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

25
README.md
View File

@ -35,22 +35,13 @@ Currently this means:
* Python 3.7+
* Qt 5.12-5.15, 6.1
* Required
* [PyQt5](https://www.riverbankcomputing.com/software/pyqt/), [PyQt6](https://www.riverbankcomputing.com/software/pyqt/), [PySide2](https://wiki.qt.io/Qt_for_Python) or [PySide6](https://wiki.qt.io/Qt_for_Python)
* [`numpy`](https://github.com/numpy/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`](https://docs.cupy.dev/en/stable/install.html) for CUDA-enhanced image processing
* On Windows, CUDA toolkit must be >= 11.1
* [`numba`] used to accelerate repeated image display for ImageItem
* [PyQt5](https://www.riverbankcomputing.com/software/pyqt/),
[PyQt6](https://www.riverbankcomputing.com/software/pyqt/),
[PySide2](https://wiki.qt.io/Qt_for_Python), or
[PySide6](https://wiki.qt.io/Qt_for_Python)
* [`numpy`](https://github.com/numpy/numpy) 1.17+
Optional added functionalities
------------------------------
### Optional added functionalities
Through 3rd part libraries, additional functionality may be added to PyQtGraph, see the table below for a summary.
@ -100,7 +91,7 @@ Support
Installation Methods
--------------------
* From PyPI:
* From PyPI:
* Last released version: `pip install pyqtgraph`
* Latest development version: `pip install git+https://github.com/pyqtgraph/pyqtgraph@master`
* From conda
@ -115,7 +106,7 @@ Documentation
The official documentation lives at [pyqtgraph.readthedocs.io](https://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.
The easiest way to learn PyQtGraph is to browse through the examples; run `python -m pyqtgraph.examples` to launch the examples application.
Used By
-------