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seaborn.color_palette#
Return a list of colors or continuous colormap defining a palette.
- Name of a seaborn palette (deep, muted, bright, pastel, dark, colorblind)
- Name of matplotlib colormap
- ‘husl’ or ‘hls’
- ‘ch:’
- ‘light:’, ‘dark:’, ‘blend:,’,
- A sequence of colors in any format matplotlib accepts
Calling this function with palette=None will return the current matplotlib color cycle.
This function can also be used in a with statement to temporarily set the color cycle for a plot or set of plots.
See the tutorial for more information.
Parameters : palette None, string, or sequence, optional
Name of palette or None to return current palette. If a sequence, input colors are used but possibly cycled and desaturated.
n_colors int, optional
Number of colors in the palette. If None , the default will depend on how palette is specified. Named palettes default to 6 colors, but grabbing the current palette or passing in a list of colors will not change the number of colors unless this is specified. Asking for more colors than exist in the palette will cause it to cycle. Ignored when as_cmap is True.
desat float, optional
Proportion to desaturate each color by.
as_cmap bool
Returns : list of RGB tuples or class: matplotlib.colors.ListedColormap
Set the default color cycle for all plots.
Reassign color codes like “b” , “g” , etc. to colors from one of the seaborn palettes.
Calling with no arguments returns all colors from the current default color cycle:
sns.color_palette()
Other variants on the seaborn categorical color palette can be referenced by name:
sns.color_palette("pastel")
Return a specified number of evenly spaced hues in the “HUSL” system:
sns.color_palette("husl", 9)
Return all unique colors in a categorical Color Brewer palette:
sns.color_palette("Set2")
Return a diverging Color Brewer palette as a continuous colormap:
sns.color_palette("Spectral", as_cmap=True)
sns.color_palette("flare")
Return one of the perceptually-uniform palettes included in seaborn as a continuous colormap:
sns.color_palette("flare", as_cmap=True)
Return a customized cubehelix color palette:
sns.color_palette("ch:s=.25,rot=-.25", as_cmap=True)
Return a light sequential gradient:
sns.color_palette("light:#5A9", as_cmap=True)
sns.color_palette("dark:#5A9_r", as_cmap=True)
sns.color_palette("blend:#7AB,#EDA", as_cmap=True)
with sns.color_palette("Set3"): sns.relplot(x=x, y=y, hue=hue, s=500, legend=False, height=1.3, aspect=4) sns.relplot(x=x, y=y, hue=hue, s=500, legend=False, height=1.3, aspect=4)
See the underlying color values as hex codes:
print(sns.color_palette("pastel6").as_hex())
['#a1c9f4', '#8de5a1', '#ff9f9b', '#d0bbff', '#fffea3', '#b9f2f0']
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