pypalettes 0.2.1

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

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:

• load_palette("palette_name"): loads a list of colors (dependency-free)
• load_cmap("palette_name"): 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 = load_cmap("Sunset2", cmap_type="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="bill_length_mm",
    y="bill_depth_mm",
    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()

Going further

Features

• Add +2500 native palettes to matplotlib and seaborn
• Load, customise and combine +2500 palettes
• Create your own palettes

To find out more about using PyPalettes, use this PyPalettes guide.

Chart made with pypalettes

Click on the image to get the associated code!

Acknowledgements

PyPalettes is highly inspired (and relies on for the first one) from

• the R package paletteer
• the python library palettable

A big thanks to Yan Holtz for creating the Color Palette Finder, a web app for browsing palettes