Launch a binder here to run our notebooks and import custom colormaps:
Effective Use of Color in Climate Science Visualizations
This repository holds materials for a 90-minute workshop on building and utilizing effective colormaps for climate science visualizations. The workshop begins with a 15-minute presentation on colormap basics (e.g., different types of colormaps with examples and best practices for usage), followed by a 15-minute presentation on the more quantitative aspects of evaluating colormaps, and then a 60-minute period (including presentations) where participants use online tools to build their own colormaps.
You can find the color usage documentation for
proplot here as well as installation instructions.
proplot is a
matplotlib wrapper written by Luke Davis with an extremely robust colormapping and color cycling module. We use it under the hood in this tutorial, but you can find more details on the documentation for building your own colormaps and color cycles through
Here you can download colormaps for your language/GUI of choice.
- cpt-city - Not well screened for good colormaps, but a huge library of them to look through.
- SciVisColor - Science-focused colormaps created by the viz team at UT Austin.
- cmocean - Perceptually uniform colormaps for oceangoraphy.
- Fabio Crameri - Perceptually uniform colormaps for geosciences.
- Color Brewer - One of the original resources for perceptually uniform colormaps. The strings from this page can be passed directly into
Can serve as inspiration when making qualitative colormaps (color cycles).
Design Your Own Colormaps
Resources for making your own colormaps from scratch.
Design Your Own Color Cycles
Resources for making your own color cycles from scratch.
Testing Your Colormaps and Color Cycles
It's always good to test your colormaps and color cycles to check that they are perceptually uniform and colorblind-friendly.