glasbeyish 0.1.0

A library for generating color palettes with distinct colors

glasbeyish

This is a library that implements a method described in the paper "Colour Displays for Categorical Images" by Glasbey et al. for finding optimal distinct color palettes of a specified size.

Unlike the glasbey library, this library implements the simulated annealing method described in the paper rather, than the iterative method. The simulated annealing method can often give better color palettes at the expense of longer run times.

Examples

Generate a color palette with two colors.

from glasbey import glasbey
from matplotlib.colors import ListedColorMap

cm = ListedColorMap([c.to_rgb() for c in glasbey(2)])

Generate a color palette with twelve colors.

cm = ListedColorMap([c.to_rgb() for c in glasbey(12)])

Provide a random seed for reproducibility.

cm = ListedColorMap([c.to_rgb() for c in glasbey(12, seed=485)])
cm2 = cm = ListedColorMap([c.to_rgb() for c in glasbey(12, seed=485)])
assert cm1 == cm2