Skip to main content

Optimized color schemes for data display

Project description

# color_tol: Colour maps for analysis

This Python package is meant to complement the wonderful work by [Cynthia Brewer](http://colorbrewer2.org/), using the work of [Paul Tol](https://personal.sron.nl/~pault/), where he introduced a very rigorous set of colors that were clearly identifyable for those with or without color-blindness. [His work](https://personal.sron.nl/~pault/colourschemes.pdf) can also be found under the docs folder of this package.


## Use

Three different color maps - qualitative, sequential, and diverging - are available, either in RGB or HTML codes.

To access any of them, you call the functions

qualitative(<number>)

sequential(<number>)

diverging(<number>)

where the <number> represents the number of colors you wish.

E.g.,

>>> my_map = qualitative(7)
>>> my_map.html_colors
['#332288', '#88CCEE', '#44AA99', '#117733', '#DDCC77', '#CC6677', '#AA4499']
>>> my_map.rgb_colors
[(51, 34, 136), (136, 204, 238), (68, 170, 153), (17, 119, 51), (221, 204, 119), (204, 102, 119), (170, 68, 153)]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

color_tol-0.1.3.tar.gz (1.8 MB view hashes)

Uploaded Source

Built Distribution

color_tol-0.1.3-py2.py3-none-any.whl (6.7 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page