PyPalettes

A dependency-free large (+2500) collection of colormaps and palettes for Python.

All available palettes can be found in the Color Palette Finder.
To learn more about how to use pypalettes, please refer to the official documentation.

This package is based on the R package paletteer, and all associated sub-packages (with original palettes) mentioned in the LICENSE file.

Installation

With pip:

pip install pypalettes

With conda:

conda install conda-forge::pypalettes

Quick start

pypalettes primarly offers 2 functions:

loadpalette("palettename"): loads a list of colors (dependency-free)
loadcmap("palettename"): loads a colormap object (for matplotlib/seaborn/etc)

Continuous colormap for matplotlib/seaborn

import matplotlib.pyplot as plt
import numpy as np
from pypalettes import load_cmap
cmap = loadcmap("Sunset2", cmaptype="continuous")
data = np.random.randn(20, 20)
plt.imshow(data, cmap=cmap) plt.colorbar()

Categorical palette

import matplotlib.pyplot as plt
import seaborn as sns
from pypalettes import load_palette
palette = load_palette("Fun")
df = sns.load_dataset("penguins")
g = sns.lmplot(     data=df,     x="billlengthmm",     y="billdepthmm",     hue="species",     palette=palette, )

Your own colormap for matplotlib/seaborn

import matplotlib.pyplot as plt
from pypalettes import create_cmap
import numpy as np
cmap = create_cmap(     colors=["#D57A6DFF", "#E8B762FF", "#9CCDDFFF", "#525052FF"],     cmap_type="continuous", )
x = np.linspace(0, 20, 1000) y = np.sin(x)
plt.scatter(x, y, c=y, cmap=cmap) plt.colorbar()