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Showing content from https://github.com/matplotlib/viscm below:

matplotlib/viscm: A tool for visualizing and designing colormaps using colorspacious and matplotlib

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 <njs@pobox.com> and Stéfan van der Walt <stefanv@berkeley.edu>

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.

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]

$ 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.

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 viscm --help.

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