You can use the following basic syntax to create an area chart in :

import matplotlib.pyplotas plt
import seaborn as sns

#set seaborn style
sns.set_theme()

#create seaborn area chart
plt.stackplot(df.x, df.y1, df.y2, df.y3)

The following examples show how to use this syntax in practice.

Example 1: Create Basic Area Chart in Seaborn

The following code shows how to create a basic area chart in seaborn:

import pandas as pd
import matplotlib.pyplotas plt
import seaborn as sns

#set seaborn style
sns.set_theme()
 
#define DataFrame
df = pd.DataFrame({'period': [1, 2, 3, 4, 5, 6, 7, 8],
                   'team_A': [20, 12, 15, 14, 19, 23, 25, 29],
                   'team_B': [5, 7, 7, 9, 12, 9, 9, 4],
                   'team_C': [11, 8, 10, 6, 6, 5, 9, 12]})

#create area chart
plt.stackplot(df.period, df.team_A, df.team_B, df.team_C)

The x-axis displays the period variable and the y-axis displays the values for each of the three teams over time.

Example 2: Create Custom Area Chart in Seaborn

The following code shows how to modify the colors of the area chart and add a legend with specific labels:

import pandas as pd
import matplotlib.pyplotas plt
import seaborn as sns

#set seaborn style
sns.set_theme()
 
#define DataFrame
df = pd.DataFrame({'period': [1, 2, 3, 4, 5, 6, 7, 8],
                   'team_A': [20, 12, 15, 14, 19, 23, 25, 29],
                   'team_B': [5, 7, 7, 9, 12, 9, 9, 4],
                   'team_C': [11, 8, 10, 6, 6, 5, 9, 12]})

#define colors to use in chart
color_map = ['red', 'steelblue', 'pink']
    
#create area chart
plt.stackplot(df.period, df.team_A, df.team_B, df.team_C,
              labels=['Team A', 'Team B', 'Team C'],
              colors=color_map)

#add legend
plt.legend(loc='upper left')

#add axis labels
plt.xlabel('Period')
plt.ylabel('Points Scored')

#display area chart
plt.show()

Note that the colors argument accepts color names along with hex color codes.

The following tutorials explain how to create other common plots in seaborn: