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: | color : base color for high values
hex code, html color name, or tuple in
input
space.
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.
| | --- | --- | | Returns: | 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 dark low values.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)