A data set containing the RGB values of the color maps included in the package. These are:

  • 'magma', 'inferno', 'plasma', and 'viridis' as defined in Matplotlib for Python. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness. They were created by Stéfan van der Walt and Nathaniel Smith;

  • 'cividis', a corrected version of 'viridis', 'cividis', developed by Jamie R. Nuñez, Christopher R. Anderton, and Ryan S. Renslow, and originally ported to R by Marco Sciaini. It is designed to be perceived by readers with all forms of color blindness;

  • 'rocket' and 'mako' as defined in Seaborn for Python;

  • 'turbo', an improved Jet rainbow color map for reducing false detail, banding and color blindness ambiguity.



A data frame with 2048 rows and 4 variables:

  • R: Red value;

  • G: Green value;

  • B: Blue value;

  • opt: The colormap "option" (A: magma; B: inferno; C: plasma; D: viridis; E: cividis; F: rocket; G: mako; H: turbo).


  • 'magma', 'inferno', 'plasma', and 'viridis': https://bids.github.io/colormap/

  • 'cividis': https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0199239

  • 'rocket' and 'mako': https://seaborn.pydata.org/index.html

  • 'turbo': https://ai.googleblog.com/2019/08/turbo-improved-rainbow-colormap-for.html


Simon Garnier: garnier@njit.edu / @sjmgarnier