distinctipy 1.2.0

A lightweight package for generating visually distinct colours.

distinctipy is a lightweight python package providing functions to generate colours that are visually distinct from one another.

Commonly available qualitative colormaps provided by the likes of matplotlib generally have no more than 20 colours, but for some applications it is useful to have many more colours that are clearly different from one another. distinctipy can generate lists of colours of any length, with each new colour added to the list being as visually distinct from the pre-existing colours in the list as possible.

Installation

distinctipy is designed for Python 3 and can be installed with pip by running:

pip install distinctipy

Alternatively clone the repo and install it locally:

git clone https://github.com/alan-turing-institute/distinctipy.git
cd distinctipy
pip install .

Usage and Examples

distinctipy can:

• Generate N visually distinct colours: distinctipy.get_colors(N)
• Generate colours that are distinct from an existing list of colours: distinctipy.get_colors(N, existing_colors)
• Generate pastel colours: distinctipy.get_colors(N, pastel_factor=0.7)
• Select black or white as the best font colour for any background colour: distinctipy.get_text_color(background_color)
• Convert lists of colours into matplotlib colormaps: distinctipy.get_colormap(colors)
• Invert colours: distinctipy.invert_colors(colors)
• Nicely display generated colours: distinctipy.color_swatch(colors)
• Compare distinctipy colours to other common colormaps: examples.compare_clusters() and examples.compare_colors()
• Simulate how colours look for someone with colourblindness: colorblind.simulate_colors(colors, colorblind_type='Deuteranomaly')
• Attempt to generate colours as distinct as possible for someone with colourblindness distinctipy.get_colors(N, existing_colors, colorblind_type="Deuteranomaly")

For example, to create and then display N = 36 visually distinct colours:

from distinctipy import distinctipy

# number of colours to generate
N = 36

# generate N visually distinct colours
colors = distinctipy.get_colors(N)

# display the colours
distinctipy.color_swatch(colors)

More detailed usage and example output can be found in the notebook examples.ipynb and examples gallery.

References

distinctipy was heavily influenced and inspired by several web sources and stack overflow answers. In particular:

• Random generation of distinct colours: Andrew Dewes on GitHub
• Colour distance metric: Thiadmer Riemersma at CompuPhase
• Best text colour for background: Mark Ransom on Stack Overflow
• Colourblindness Filters: Matthew Wickline and the Human-Computer Interaction Resource Network (web archive)

Thanks!