This is a Python wrapper around Fabio Crameri's perceptually uniform colour maps
http://www.fabiocrameri.ch/colourmaps.php
All credit for creating the colourmaps to Fabio. Any errors in the Python implementation of colourmaps are my own.
This version is based on Scientific Colourmaps Version 7.0 (02.02.2021)
With pip:
pip install cmcrameri
With conda:
conda config --add channels conda-forge
conda install cmcrameri
from cmcrameri import cm
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 100, 100)[None, :]
plt.imshow(x, aspect='auto', cmap=cm.batlow) # or any of the other colourmaps made by Fabio Crameri
plt.axis('off')
plt.show()
You can access all the core colourmaps from Fabio Crameri's list by cm.<colormapname>
You can use tab autocompletion on cm
if your editor supports it
For a reversed colourmap, append _r
to the colourmap name
Categorical colormaps have the suffix S
For an image of all the available colourmaps without leaving the comfort of your Python session
from cmcrameri.cm import show_cmaps
show_cmaps()
To make the underlying RGB values available, the original text files are shipped as part of the package. Find them on your system with:
from cmcrameri import cm
cm.paths
This work is licensed under an MIT license.