JosephBARBIERDARNAL / pypalettes

A large (+2500) collection of color maps for Python

pypalettes

A large (+2500) collection of color maps for Python.

All available palettes can be found on the dedicated website

Installation

pip install pypalettes

Quick start

Once the cmap is loaded, you can use it as any other color map in matplotlib or seaborn.

import matplotlib.pyplot as plt
import seaborn as sns
from pypalettes import load_cmap
import numpy as np

data = np.random.rand(10, 12)

cmap = load_cmap('Anemone')

sns.heatmap(data, cmap=cmap)
plt.show()

Getting started

• Load a color map:

from pypalettes import load_cmap
cmap = load_cmap('Chaetodon_sedentarius')
cmap

• Transform a qualitative color map into a continuous one:

from pypalettes import load_cmap
cmap = load_cmap('Chaetodon_sedentarius', type='continuous')
cmap

• Invert a color map:

from pypalettes import load_cmap
cmap = load_cmap('Chaetodon_sedentarius', reverse=True)
cmap

• Reverse and continuous:

from pypalettes import load_cmap
cmap = load_cmap('Chaetodon_sedentarius', reverse=True, type='continuous')
cmap

• Keep only the first 3 colors of a color map:

from pypalettes import load_cmap
cmap = load_cmap('Chaetodon_sedentarius', keep_first_n=3)
cmap

• Keep only specific colors of a color map:

from pypalettes import load_cmap
cmap = load_cmap('Chaetodon_sedentarius', keep=[True, True, False, False, True])
cmap

• Load a random color map:

from pypalettes import load_cmap 
cmap = load_cmap()
cmap

• Get hex values of a color map:

from pypalettes import get_hex
get_hex('pupitar')

['#7098C0FF', '#88C0E8FF', '#285880FF', '#B8E0F8FF', '#F8F8F8FF', '#404060FF', '#A8A8A8FF', '#C8C8D0FF', '#B04000FF']

• Get rgb values of a color map:

from pypalettes import get_rgb
get_rgb('AirNomads')

[(255, 153, 51), (194, 72, 65), (255, 255, 51), (139, 91, 69), (135, 175, 209), (238, 176, 90), (219, 197, 160)]

More examples can be found in the how to use notebook

Chart made with pypalettes

Click on the image to get the associated code!

Related projects

pypalettes is highly inspired from the R package paletteer and the python package palettable.

How data has been collected

• Sites used
  • https://coolors.co/palettes/trending
  • https://pmassicotte.github.io/paletteer_gallery/

Learn more in the dedicated directory