Seaborn.set_palette() method

---

---

Seaborn.set_palette() method is used to set the palette for plots. The one use of this method is to set the palette for the plots visualized later. Using a seaborn palette, this method sets the matplotlib color cycle.

Syntax

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

seaborn.set_palette(palette, n_colors=None, desat=None, color_codes=False)

Parameters

The parameters of the seaborn.set_palette() method are described below.

Loading the seaborn library

Let us load the seaborn library and the dataset before moving on to developing the plots.. To load or import the seaborn library the following line of code can be used.

Import seaborn as sns

Loading the dataset

In this article, we will make use of the Titanic dataset inbuilt in the seaborn library. the following command is used to load the dataset.

titanic=sns.load_dataset("titanic")

The below mentioned command is used to view the first 5 rows in the dataset. This enables us to understand what variables can be used to plot a graph.

titanic.head()

The below is the output for the above piece of code.

index,survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
0,0,3,male,22.0,1,0,7.25,S,Third,man,true,NaN,Southampton,no,false
1,1,1,female,38.0,1,0,71.2833,C,First,woman,false,C,Cherbourg,yes,false
2,1,3,female,26.0,0,0,7.925,S,Third,woman,false,NaN,Southampton,yes,true

Now that we have loaded the dataset, we will explore as few examples.

The set palette method like mentioned above is used to set the color palette for the following plots and it takes different values some of the values are as follows −

{'Accent', 'Accent_r', 'Blues', 'Blues_r', 'BrBG', 'BrBG_r', 'BuGn', 'BuGn_r', 'BuPu', 'BuPu_r', 'CMRmap', 'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', 'GnBu_r', 'Greens', 'Greens_r', 'Greys', 'Greys_r', 'OrRd', 'OrRd_r', 'Oranges', 'Oranges_r', 'PRGn', 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', 'Pastel1_r', 'Pastel2', 'Pastel2_r', 'PiYG'}

The below examples depict the usage of the seaborn.set_palette() method.

Example 1

In the below example, we will pass ice fire as the color palette to the set_palette() method and draw a plot to see the color palette.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.set_palette("icefire")
plt.show()

Next, we will draw a plot to see the color palette that is set. In this example we will use the stripplot() method and use the titanic dataset in-built in the seaborn library.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.stripplot(x="age", y="who", hue="alive",data=titanic,jitter=0.5,linewidth=1)
plt.show()

Output

Example 2

In this example, we will see the working of another color palette that is a part of the set.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.set_palette("pastel")
sns.stripplot(x="age", y="who", hue="alive",data=titanic,jitter=0.5,linewidth=1)
plt.show()

The above code contains the following palette of colors for the palette name passed.

Output

The output of the above example is as follows −

Example 3

In this example, we will see another matplotlib palette by simply passing it as an argument to the set_palette() method.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.set_palette("flare")
plt.show()

The above line of code will contain the following series of colors that are part of the palette and the plots produced later will contain similar colors.

Say the following code is used to produce a plot, the plot shown below will be obtained and as observed it contains same colors as shown in the pantone above.

import seaborn as sns
import matplotlib.pyplot as plt
titanic=sns.load_dataset("titanic")
titanic.head()
sns.stripplot(x="age", y="who", hue="alive",data=titanic)
plt.show()

Output

The output plot produced is as follows −