Seaborn.hls_palette() method

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Seaborn.hls_palette() method is used to get a set of evenly spaced colors that are a part of the HSL color space.

The HSL system contains images that are measured with hue, saturation and lightness. The hue represents the color of the image, the saturation is the amount of pureness in the color and the lightness is the strength in hue.

These hues are usually even spread along a curcular path. Therefore, the resulting palette will represent the categorical and cyclical data. The values of h, s and l must always lie in the range of 0 and 1.

Syntax

Following is the syntax of the hls_palette() method −

seaborn.hls_palette(n_colors=6, h=0.01, l=0.6, s=0.65, as_cmap=False)

Parameters

The parameters of the HLS palette method are described below.

Return value

It returns a list of RGB tuples a matplotlib colormap.

Example 1

In this example, we will understand the working of hls_palette() method. This method basically allows the user to create a custom palette by changing the hue, lightness and saturations of the colors.

To plot the custom created palette, palplot() method is used. This seaborn.palplot() method enables the user to plot a custom palette and see the pantones that are part of a particular palette. The difference between the color_palette and the palplto() method are that the color_palette() method plots the colors of the matplotlib palettes whereas the palplot() method is used to plot custom palettes.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.palplot(sns.hls_palette(15))
plt.show()

Output

The output obtained is as follows −

Example 2

In this example, we will pass the hue value to the hls_paletee() method along with the n_colors value. Here, the hue value is set to 0.4 which is the value of the first hue in the custom series of colors.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.palplot(sns.hls_palette(15,h=0.4))
plt.show()

Output

the output obtained is the following series of colors,

Example 3

Here, we will pass the saturation value along with the n-colors value to the method. The saturation is set to 0.2 in this example.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
#sns.palplot(sns.hls_palette(16, s=.2))
plt.show()

Output

the output produced is as follow,

Example 4

here, we will pass the lightness value along with the n_colors value to the method. The lightness is set to 0.5 in this example.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.palplot(sns.hls_palette(11, l=.5))
plt.show()

Output

the output produced is as follows,

Example 5

Here, we will pass all the parameters to the hls_palette() method and later plot the colors.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.palplot(sns.hls_palette(10, l=.7,s=.5,h=0.1))
plt.show()

Output

the output produced is as follows,