cmyt

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

Miscellaneous

Installation

with pip

python3 -m pip install cmyt

or with conda

conda install -c conda-forge cmyt

Usage

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()
ax.set(aspect="equal")

# 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()
ax.set(aspect="equal")
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 https://semver.org.

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 >= 1.0.1, < 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.