seaborn.light_palette¶

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

Make a sequential palette that blends from light 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_light_palette() function.

Parameters

colorbase color for high values: hex code, html color name, or tuple in input space.
n_colorsint, optional: number of colors in the palette
reversebool, optional: if True, reverse the direction of the blend
as_cmapbool, 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.

Returns

palette or cmapseaborn 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

dark_palette: Create a sequential palette with dark low values.
diverging_palette: Create a diverging palette with two colors.

Examples

Generate a palette from an HTML color:

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

Generate a palette that increases in lightness:

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

Generate a palette from an HUSL-space seed:

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

Generate a colormap object:

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