https://github.com/matplotlib/viscm

A tool for visualizing and designing colormaps using colorspacious and matplotlib
https://github.com/matplotlib/viscm

Last synced: 1 day ago
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A tool for visualizing and designing colormaps using colorspacious and matplotlib

• Host: GitHub
• URL: https://github.com/matplotlib/viscm
• Owner: matplotlib
• License: mit
• Created: 2015-07-04T07:06:05.000Z (over 9 years ago)
• Default Branch: main
• Last Pushed: 2023-06-13T17:11:53.000Z (over 1 year ago)
• Last Synced: 2024-11-06T19:24:35.227Z (7 days ago)
• Language: Python
• Size: 659 KB
• Stars: 166
• Watchers: 17
• Forks: 33
• Open Issues: 12
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

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README

        
viscm

=====

This is a little tool for analyzing colormaps and creating new colormaps.

Downloads:

  * https://pypi.python.org/pypi/viscm/

  * https://anaconda.org/conda-forge/viscm/

Code and bug tracker:

  https://github.com/matplotlib/viscm

Contact:

  Nathaniel J. Smith  and Stéfan van der Walt 

Dependencies:

  * Python 3.9+

  * `colorspacious `_ 1.1+

  * Matplotlib 3.5+

  * NumPy 1.22+

  * SciPy 1.8+

  * one of PyQt6, PySide6

License:

  MIT, see `LICENSE `__ for details.

Installation

------------

This is a GUI application, and requires Qt Python bindings.

They can be provided by PyQt (GPL) or PySide (LGPL)::

  $ pip install viscm[PySide]

...or::

  $ pip install viscm[PyQt]

Usage

-----

::

  $ viscm view jet

  $ viscm edit

There is some information available about how to interpret the

resulting visualizations and use the editor tool `on this website

`_.

Reproducing viridis

^^^^^^^^^^^^^^^^^^^

Load `viridis AKA option_d.py `__ using::

  viscm --uniform-space buggy-CAM02-UCS -m Bezier edit /tmp/option_d.py

Note that there was a small bug in the assumed sRGB viewing conditions

while designing viridis. It does not affect the outcome by much. Also

see :code:`viscm --help`.