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PyPalettes

pypalettes logo

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

All available palettes can be found on the dedicated website

You can find an introduction to PyPalettes in the Python Graph Gallery, with code samples and explanations about how to use this library in many different cases.



Installation

You can install pypalettes directly from PyPI with:

pip install --upgrade pypalettes

Alternatively you can install the development version with:

pip install git+https://github.com/JosephBARBIERDARNAL/pypalettes.git



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
from pypalettes import load_cmap
import seaborn as sns
import numpy as np

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

cmap = load_cmap('Anemone', cmap_type='continuous')

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

heatmap example



Getting started


  • Load a color map:
from pypalettes import load_cmap
cmap = load_cmap('Chaetodon_sedentarius')
cmap

Darjeeling2


  • Transform a qualitative color map into a continuous one:
from pypalettes import load_cmap
cmap = load_cmap('Chaetodon_sedentarius', cmap_type='continuous')
cmap

Darjeeling2


  • Invert a color map:
from pypalettes import load_cmap
cmap = load_cmap('Chaetodon_sedentarius', reverse=True)
cmap

Darjeeling2


  • 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)]


  • Combine multiple colormaps
from pypalettes import get_hex
get_hex(['Alacena', 'Antique'])

['#693829FF', '#894B33FF', '#A56A3EFF', '#CFB267FF', '#D9C5B6FF', '#9CA9BAFF', '#5480B5FF', '#3D619DFF', '#405A95FF', '#345084FF', '#855C75FF', '#D9AF6BFF', '#AF6458FF', '#736F4CFF', '#526A83FF', '#625377FF', '#68855CFF', '#9C9C5EFF', '#A06177FF', '#8C785DFF', '#467378FF', '#7C7C7CFF']


More examples can be found in this introduction to PyPalettes.



Chart made with pypalettes

Click on the image to get the associated code!

choropleth map of europe stacked area chart of natural disasters
gapminder bubble chart



Contributing

Since the core code of the library is currently quite short and simple, it does not require any major changes. However, if you feel like you have a good idea/suggestion, please open an issue.

BUT, more palettes is one easy way to make pypalettes better! Here is the best way to get started:

Note: the following steps are for Mac, but not much different in other OS.

  • Fork this repo
  • git clone https://github.com/yourusername/pypalettes.git
  • cd pypalettes
  • python -m venv venv
  • source venv/bin/activate
  • pip install -r requirements.txt
  • pip install -e .
  • git checkout -b feature-name

Then open your code editor and open parsers/list_manual_palettes.py. You will find a dictionnary of dictionnary of manually defined palettes. Add yours at the end with the following elements:

  • "name": the name of your palette
  • "palette": the colors of your palette, in the following format: ["['#123456', '#654321', '#162534']"]
  • "source": where does your palette come from? If you created it, your name or a link to your portfolio is valid!
  • "kind": the kind of your palette. View examples at https://python-graph-gallery.com/color-palette-finder/
  • "paletteer-kind": just put "unknown"

For a large number of palettes, please open an issue first.



Acknowledgements

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

A big thanks to Yan Holtz for:



How data has been collected

99% of the palettes come from the Paletteer R package.

Learn more in the dedicated directory.