akronix / colormap

Utilities to visualise and create matplotlib colormaps and various color codecs

COLORMAP documentation

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

version:	Python 2.7, 3.3, 3.4, 3.5, 3.6
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

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', 'white', 'green(w3c)')
  cmap = c.test_colormap(mycmap)
  

• check out the available colormaps:

  c = Colormap()
  c.plot_colormap('diverging')
  

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