Built-in Palettes ¶ Matplotlib Palettes ¶īokeh includes the Matplotlib palettes Magma, Inferno, Plasma, Viridis, andĬividis. excluding the ones with 256Ĭolors) are collected and in a small_palettes attribute. Module attribute, and the “small” palettes (i.e. Similarly there areĪttributes d3, mpl, and colorblind that have dictionariesĬorresponding to the those groups of palettes.įinally, all palettes are collected in the all_palettes palettes The Brewer palettes are also collected and grouped by name in aīrewer dictionary, e.g.: brewer. Viridis() that can generate lists of colors ofĪrbitrary size from special larger palettes. There are also functions such as magma() and Pre-built palette can be found in the _palettes_ module attribute.

Palettes designed for color-deficient usabilityĪdditionally, you can also use any of the 256-color perceptually uniformīokeh palettes from the external colorcet package, if it is installed.Įvery pre-built palette is available as a module attributes, e.g.ī3 or 256.

The Matplotlib palettes Magma, Inferno, Plasma, and ViridisĪ Bokeh palette comprised of the Bokeh shutter logo colors This module contains the following sets of palettes:

Python colors