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