(PyPI)

(conda-forge)

This is a Python wrapper around Fabio Crameri's perceptually uniform colormaps.

https://www.fabiocrameri.ch/colourmaps/

All credit for creating the colormaps to Fabio. Any errors in the Python implementation of colormaps are my own.

This version is based on Scientific colour maps version 7.0 (02.02.2021).

With pip:

pip install cmcrameri

With conda:

conda install -c conda-forge cmcrameri

import cmcrameri.cm as cmc
import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 1, 100)[np.newaxis, :]

plt.imshow(x, aspect='auto', cmap=cmc.batlow)
plt.axis('off')
plt.show()

Alternatively, the registered name string can be used.

import cmrameri  # required in order to register the colormaps with Matplotlib
...
plt.imshow(x, aspect='auto', cmap='cmc.batlow')

You can access all the core colormaps from Fabio Crameri's list by cmcrameri.cm.<colormapname>.

You can use tab autocompletion on cmcrameri.cm if your editor supports it.

For a reversed colormap, append _r to the colormap name.

Categorical colormaps have the suffix S.

For an image of all the available colormaps without leaving the comfort of your Python session:

from cmcrameri import show_cmaps

show_cmaps()

The original colormap text files are shipped as part of the package. Find them on your system with:

from cmcrameri.cm import paths

paths

This work is licensed under an MIT license.