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A tool for visualizing and designing colormaps using colorspacious and matplotlib

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viscm

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

Downloads:
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.

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 viscm --help.

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A tool for visualizing and designing colormaps using colorspacious and matplotlib

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