Welcome to python-colorspace's documentation!
python-colorspace is a python package to create and handle colors and color
palettes in python. Based on the Hue-Chroma-Luminance (HCL) color space
effective color palettes can be designed and implemented in your own daily
This package is based on the code and ideas of the R colorspace package as it has often been requested by python enthusiasts. More information and an interactive interface can also be found on HCLwizard.org.
.. toctree:: :maxdepth: 2 sec_gettingstarted sec_examples sec_reference sec_developer
Other Packages and Further Reading
More information and further reading:
- hclwizard.org: more information about the HCL color space, introduction to the colorspace packages (in R and python), and some interactive tools to define effective HCL-based color palettes, pick colors, and check existing plots and figures for possible problems in terms of color vision deficiencies.
- A list of scientific articles which provide more detailed insights, e.g.
- The end of the rainbow: an open letter to the climate science community by Ed Hawkins, Doug McNeall, David Stephenson, Jonny Williams & Dave Carlson.
- Better Figures: Constructive criticism of the graphics of climate science by Doug McNeall.
Scientific articles with more detailed insights:
- Stauffer, R., Mayr, G. J., Dabernig, M., & Zeileis, A. (2015). Somewhere Over the Rainbow: How to Make Effective Use o f Colors in Meteorological Visualizations. Bulletin of the American Meteorological Society, 96(2), 203–216, doi: 10.1175/BAMS-D-13-00155.1.
- Zeileis, A., Hornik, K., & Murrell, P. (2009). Escaping RGBland: Selecting colors for statistical graphics. Computational Statistics &Amp; Data Analysis , 53(9), 3259–3270, doi:10.1016/j.csda.2008.11.033.
- Ihaka, R., 2003. Colour for presentation graphics. In: Hornik, K., Leisch, F., Zeileis, A. (Eds.), Proceedings of the 3rd International Workshop on Distributed Statistical Computing, Vienna, Austria, ISSN 1609-395X, URL: http://www.ci.tuwien.ac.at/Conferences/DSC-2003/Proceedings/Ihaka.pdf.
- And others (hclwizard.org reference list).
Some other packages providing color maps in python (on top of the default color maps) wich might be of interest:
- seaborn: statistical data visualization. The package also provides access to a range of (mostly) well specified. color palettes.
- palettable: color palettes for python.
Formely known as
brewer2mpl. Provides a range of color palettes including "Brewer2" and "Carto" palettes.
- ColorBrewer2.org: the source of the brewer colors, interactive webpage by Cynthia Brewer, Mark Harrower and The Pennsylvania State University.
White point implemented but might require some additional testing.