seaborn.diverging_palette¶

seaborn.diverging_palette(h_neg, h_pos, s=75, l=50, sep=1, n=6, center='light', as_cmap=False)¶

Make a diverging palette between two HUSL colors.

If you are using the IPython notebook, you can also choose this palette interactively with the choose_diverging_palette() function.

Parameters

h_neg, h_posfloat in [0, 359]: Anchor hues for negative and positive extents of the map.
sfloat in [0, 100], optional: Anchor saturation for both extents of the map.
lfloat in [0, 100], optional: Anchor lightness for both extents of the map.
sepint, optional: Size of the intermediate region.
nint, optional: Number of colors in the palette (if not returning a cmap)
center{“light”, “dark”}, optional: Whether the center of the palette is light or dark
as_cmapbool, optional: If True, return a matplotlib.colors.Colormap.

Returns

list of RGB tuples or matplotlib.colors.Colormap

See also

dark_palette: Create a sequential palette with dark values.
light_palette: Create a sequential palette with light values.

Examples

Generate a blue-white-red palette:

>>> import seaborn as sns; sns.set_theme()
>>> sns.palplot(sns.diverging_palette(240, 10, n=9))

../_images/seaborn-diverging_palette-1.png

Generate a brighter green-white-purple palette:

>>> sns.palplot(sns.diverging_palette(150, 275, s=80, l=55, n=9))

../_images/seaborn-diverging_palette-2.png

Generate a blue-black-red palette:

>>> sns.palplot(sns.diverging_palette(250, 15, s=75, l=40,
...                                   n=9, center="dark"))

../_images/seaborn-diverging_palette-3.png

Generate a colormap object:

>>> from numpy import arange
>>> x = arange(25).reshape(5, 5)
>>> cmap = sns.diverging_palette(220, 20, as_cmap=True)
>>> ax = sns.heatmap(x, cmap=cmap)

../_images/seaborn-diverging_palette-4.png