Seaborn.diverging_palette() method

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Seaborn.diverging_palette() method is used to make a diverging plot between two HUSL colors. HUSL color system is an alternative to the HSL color system. It is currently called as HSLuv System.

The choose_diverging_palette() function helps us use this method interactively with the help of the IPython notebook.

Syntax

Following is the syntax of the diverging_palette() method −

seaborn.diverging_palette(h_neg, h_pos, s=75, l=50, sep=1, n=6, center='light', as_cmap=False)

Parameters

The parameters of this method are as follows.

Return value

This method returns a list of RGB tuples or a matplotlib colormap. Now we will see the working of this method in the following examples.

Example 1

In this example, we will see the of a brown to green palette. To do so, we will pass h_pos and h_neg values and then the number of colors to be produced in the list of RGB tuples. The following line of code can be used.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.palplot(sns.diverging_palette(200, 20, n=15))
plt.show()

Output

the output is as follows,

Example 2

In this example. We will generate another set of colors just like the above case. In this case we will get a blue-pink palette generated. but we will also understand the usage of the sep parameter which determines the size of the intermediate region.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.palplot(sns.diverging_palette(250, 349, n=15,sep=200))
plt.show()

Output

the output is as follows,

Example 3

We will create a blue to red toned palette with white in between by passing h_pos, h_neg, lightness and saturation parameters along with the number of colors in the produced output which in this case is 15.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.palplot(sns.diverging_palette(250, 10, n=15,s=50,l=20))
plt.show()

Output

The output is as follows −