seaborn.dark_palette(color, n_colors=6, reverse=False, as_cmap=False, input='rgb')

Make a sequential palette that blends from dark to color.

This kind of palette is good for data that range between relatively uninteresting low values and interesting high values.

The color parameter can be specified in a number of ways, including all options for defining a color in matplotlib and several additional color spaces that are handled by seaborn. You can also use the database of named colors from the XKCD color survey.

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


color : base color for high values

hex, rgb-tuple, or html color name

n_colors : int, optional

number of colors in the palette

reverse : bool, optional

if True, reverse the direction of the blend

as_cmap : bool, optional

if True, return as a matplotlib colormap instead of list

input : {‘rgb’, ‘hls’, ‘husl’, xkcd’}

Color space to interpret the input color. The first three options apply to tuple inputs and the latter applies to string inputs.


palette or cmap : seaborn color palette or matplotlib colormap

List-like object of colors as RGB tuples, or colormap object that can map continuous values to colors, depending on the value of the as_cmap parameter.

See also

Create a sequential palette with bright low values.
Create a diverging palette with two colors.


Generate a palette from an HTML color:

>>> import seaborn as sns; sns.set()
>>> sns.palplot(sns.dark_palette("purple"))

Generate a palette that decreases in lightness:

>>> sns.palplot(sns.dark_palette("seagreen", reverse=True))

Generate a palette from an HUSL-space seed:

>>> sns.palplot(sns.dark_palette((260, 75, 60), input="husl"))

Generate a colormap object:

>>> from numpy import arange
>>> x = arange(25).reshape(5, 5)
>>> cmap = sns.dark_palette("#2ecc71", as_cmap=True)
>>> ax = sns.heatmap(x, cmap=cmap)