How to plot multiple Seaborn Jointplot in Subplot using Matplotlib?

Matplotlib Server Side Programming Programming

To plot multiple Seaborn jointplot, we can use the jointplot() method.

Steps

Add a subplot to the current figure.
Create a dictionary, with some keys.
Create a dataframe using Pandas.
Make a jointplot using the jointplot() method.
To plot the curves, use the plot() method.
To display the figure, use the show() method.

Example

from matplotlib import pyplot as plt
import pandas as pd
import seaborn as sns
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
plt.subplot()
d = {
   'y=1/x': [1 / i for i in range(1, 10)],
   'y=x': [i for i in range(1, 10)],
   'y=x^2': [i * i for i in range(1, 10)],
   'y=x^3': [i * i * i for i in range(1, 10)]
}
df = pd.DataFrame(d)
jg = sns.jointplot(data=df)
jg.plot(sns.scatterplot, sns.histplot)
plt.show()

Output

Rishikesh Kumar Rishi

Updated on: 2021-04-09T13:02:04+05:30

2K+ Views

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