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Jointplot Function In Seaborn

In this article, we will discuss the jointplot function in Seaborn.

Purpose

The jointplot is used to visualize the relationship between two variables along with their distributions.

Code

import seaborn as sns
import matplotlib.pyplot as plt
data = sns.load_dataset('penguins')
sns.jointplot(x='bill_length_mm', y='bill_depth_mm', data=data)

Output

Kind Attribute

The kind parameter specifies the type of plot you want to use for the bivariate visualization between two variables. The available options for kind are – Scatter, KDE, Hist, Hex, Reg, Resid.

import seaborn as sns
import matplotlib.pyplot as plt
data = sns.load_dataset('penguins')
sns.jointplot(x='bill_length_mm', y='bill_depth_mm', data=data, kind="hex")

Picture showing the output of kind attribute in jointplot function

Posted By -	Karan Gupta

Posted On -	Thursday, October 24, 2024

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