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Utilities to ease manipulation of matplotlib colormaps and color codecs (e.g., hex2rgb)

Project description

https://secure.travis-ci.org/cokelaer/colormap.png https://coveralls.io/repos/cokelaer/colormap/badge.png?branch=master https://landscape.io/github/cokelaer/colormap/master/landscape.png https://badge.waffle.io/cokelaer/colormap.png?label=ready&title=Ready
version:Python 2.7, 3.3, 3.4, 3.5
contributions:Please join https://github.com/cokelaer/colormap
issues:Please use https://github.com/cokelaer/colormap/issues
notebook:Please see https://github.com/cokelaer/colormap/tree/master/notebooks

Please see : http://colormap.readthedocs.io/ for an up-to-date documentation.

What is it ?

colormap package provides simple utilities to convert colors between RGB, HEX, HLS, HUV and a class to easily build colormaps for matplotlib. All matplotlib colormaps and some R colormaps are available altogether. The plot_colormap method (see below) is handy to quickly pick up a colormaps and the test_colormap is useful to see test a new colormap.

Installation

pip install colormap

Example

  • Create your own colormap from red to green colors with intermediate color as whitish (diverging map from red to green):

    c = Colormap()
    mycmap = c.cmap( {'red':[1,1,0], 'green':[0,1,.39], 'blue':[0,1,0]})
    cmap = c.test_colormap(mycmap)
    
  • Even simpler if the colormap is linear:

    c = Colormap()
    mycmap = c.cmap_linear('red', 'black', 'green')
    cmap = c.test_colormap(mycmap)
    
http://colormap.readthedocs.io/en/latest/_images/index-1.png
  • check out the available colormaps:

    c = Colormap()
    c.plot_colormap('diverging')
    
http://colormap.readthedocs.io/en/latest/_images/colormaps.png

See online documentation for details: http://colormap.readthedocs.io/

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