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A collection of Matplotlib colormaps from the yt project

Project description


PyPI Conda Version Supported Python Versions

CI CI (bleeding edge) status

yt-project Code style: black

Matplotlib colormaps from the yt project !

Colormaps overview

The following colormaps, as well as their respective reversed (*_r) versions are available

Perceptually uniform sequential colormaps

Monochromatic sequential colormaps



with pip

python3 -m pip install cmyt

or with conda

conda install -c conda-forge cmyt


cmyt integrates with matplotlib in a similar fashion to cmocean or cmasher

import numpy as np
import matplotlib.pyplot as plt
import cmyt  # that's it !

# generate example data
prng = np.random.RandomState(0x4D3D3D3)
noise = prng.random_sample((100, 100))
x, y = np.mgrid[-50:50, -50:50]
z = 5 * np.exp(-(x ** 2 + y ** 2) / 1000)

# setup the figure
fig, ax = plt.subplots()

# now we can refer to cmyt colormaps as strings
im = ax.pcolormesh(x, y, z + noise, cmap="cmyt.arbre", shading="flat")
fig.colorbar(im, ax=ax)

# alternatively, cmyt maps can also be imported as objects
from cmyt import pastel

fig, ax = plt.subplots()
im = ax.contourf(x, y, z + noise, cmap=pastel)
fig.colorbar(im, ax=ax)

A gallery of comparable examples using all colormaps from cmyt is available in the test directory.

About versionning

cmyt uses semantic versioning as defined by

In practice this means that new colormaps may be added in minor patches, and any backward incompatible change to existing colormaps will happen as a major change.

If you're developing a library that depends on cmyt, we recommend to set an explicit upper limit as well as a minimal one in your requirements as for instance

cmyt >= 1.0.3, < 2.0.0

with the minimal required version pointing to the e.g. the last colormap addition your need, and the upper limit preventing your CI to upgrade to a major change without your knowing. Also note that only the top level of the package is considered public API.

Project details

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Files for cmyt, version 1.0.3
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