You can use the following basic syntax to create subplots in the seaborn data visualization library in Python:
#define dimensions of subplots (rows, columns)
fig, axes = plt.subplots(2, 2)
#create chart in each subplot
sns.boxplot(data=df, x='team', y='points', ax=axes[0,0])
sns.boxplot(data=df, x='team', y='assists', ax=axes[0,1])
...
The following example shows how to use this syntax in practice.
Example: Creating Subplots in Seaborn
Suppose we have the following pandas DataFrame:
import pandas as pd #create DataFrame df = pd.DataFrame({'team': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'], 'points': [19, 12, 15, 14, 19, 23, 25, 29], 'assists': [13, 15, 11, 8, 6, 8, 11, 14], 'rebounds': [11, 7, 8, 12, 13, 7, 6, 8], 'blocks': [1, 2, 2, 3, 5, 4, 3, 3]}) #view DataFrame print(df) team points assists rebounds blocks 0 A 19 13 11 1 1 A 12 15 7 2 2 A 15 11 8 2 3 A 14 8 12 3 4 B 19 6 13 5 5 B 23 8 7 4 6 B 25 11 6 3 7 B 29 14 8 3
The following code shows how to define a plotting region with two rows and two columns and create a boxplot in each subplot for each of the four numeric variables in the DataFrame:
import matplotlib.pyplot as plt import seaborn as sns #set seaborn plotting aesthetics as default sns.set() #define plotting region (2 rows, 2 columns) fig, axes = plt.subplots(2, 2) #create boxplot in each subplot sns.boxplot(data=df, x='team', y='points', ax=axes[0,0]) sns.boxplot(data=df, x='team', y='assists', ax=axes[0,1]) sns.boxplot(data=df, x='team', y='rebounds', ax=axes[1,0]) sns.boxplot(data=df, x='team', y='blocks', ax=axes[1,1])
In this example, we created a plotting region with two rows and two columns and filled each subplot with boxplots.
However, we can use similar syntax to create a plotting region with different dimensions and fill in the subplots with different charts.
For example, the following code shows how to create a plotting region with one row and two columns and fill in each plot with a violin plot:
import matplotlib.pyplot as plt import seaborn as sns #set seaborn plotting aesthetics as default sns.set() #define plotting region (1 row, 2 columns) fig, axes = plt.subplots(1, 2) #create boxplot in each subplot sns.violinplot(data=df, x='team', y='points', ax=axes[0]) sns.violinplot(data=df, x='team', y='assists', ax=axes[1])
Additional Resources
The following tutorials explain how to perform other common functions in seaborn:
How to Add a Title to Seaborn Plots
How to Save Seaborn Plot to a File
How to Change the Position of a Legend in Seaborn