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 <[email protected]> and Stéfan van der Walt <[email protected]>
- 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.