Seaborn.set_hls_values() method

---

---

Seaborn.set_hls_values() method is used to saturate a color and then this saturated color is returned. In other words, the method independently manipulates the h, l and s channels of a color.

The h, l and s channels of color represent the hue, lightness and saturation components of an image. The hue depicts the color of the image, the saturation is the pureness of this color and the lightness is density of the hue.

Syntax

Following is the syntax of the seaborn.set_hls_values() method −

seaborn.set_hls_values(color,h=None,l=None,s=None)

Parameters

The parameters of this seaborn.set_hls_values() method are given below.

Return value

The return value of this method is an rgb-tuple which contains the saturated color of the color passed.

Example 1

Now we will see how the method works by passing a color to it and also hue and saturation values rsanging bgetwen 1 and 0.

sns.set_hls_values("green",h=0.5,s=0.5)

Output

The output produced is as follows. An rgb tuple of the color after setting values to given values is given as output.

(0.12549019607843137, 0.37647058823529406, 0.3764705882352941)

Example 2

Example 2 In this example we will saturate another color and obtain the modified color. We can use the palplot method to visualize the rgb tuples sent by the set_hls_values() method.

The following line of code can be used to do so.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
# 1st example
#sns.set_hls_values("green",h=0.5,s=0.5)
# 2nd example
#sns.palplot(sns.set_hls_values("green",h=0.5,s=0.5,l=0.8))
# 3rd example
#sns.palplot(sns.set_hls_values("yellow",h=0.44,l=0.2,s=0.1))
plt.show()

Output

The output is as follows −

Example 3

We will use the palplot method to visualize a color after modfigying its hue, saturation and lightness. In this case, the color is purple. The below line of code was used to do so.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.palplot(sns.set_hls_values("yellow",h=0.44,l=0.2,s=0.1))
plt.show()

Output

The output is as follows −