Colormaps

This module defines some perceptually uniform sequential and several qualitative colormaps. All of them can be loaded into matplotlib by prettypyplot.colors.load_cmaps or simply using the setup function prettypyplot.style.use_style. With prettypyplot.colors.load_colors the colors of pastel5 ('pplt:blue', 'pplt:red', 'pplt:green', 'pplt:orange', 'pplt:lightblue'), of two gray shades 'pplt:gray' and 'pplt:lightgray', axes 'pplt:axes', grid 'pplt:grid' and textcolor 'pplt:text' can be accessed easily.

The qualitative colors 'pastel_autumn', 'pastel_spring', 'pastel_rainbow' are neither colorblind friendly nor suited for black-white.

Warning

In the future colormaps might change slightly.

viridis, jet, plasma are only included here for comparison. Both, macaw and bownair are modified versions of viridis. While turbo tries to be a better jet (see here), paula2 is a continuos version of paula_cbf and an alternative to plasma.

All colormaps starting with tol: were designed by Paul Tol. All of them are colorblind friendly and some are even print friendly. For a detailed discussion check out his lovely blog.

And some beautiful taken from GeoDataViz. They should be all colorblind friendly. For more info please checkout GeoDataViz. The sequential colormaps with s are based on a single hue value, while m are multi-hue, and d are diverging.

For more colormaps see matplolib colormaps.