Pandas - Creating a Pair Plot using Seaborn for Multiple variable analysis

Last update on December 21 2024 07:41:16 (UTC/GMT +8 hours)

Pandas: Visualization Integration Exercise-6 with Solution

Write a Pandas program to create a Pair Plot with Seaborn.

This exercise demonstrates how to create a pair plot using Seaborn to visualize relationships between all numerical columns in a DataFrame.

Sample Solution :

Code :

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

# Create a sample DataFrame
df = pd.DataFrame({
    'Height': [150, 160, 170, 180, 190],
    'Weight': [50, 60, 70, 80, 90],
    'Age': [22, 25, 30, 35, 40]
})

# Create a pair plot to visualize relationships between columns
sns.pairplot(df)

# Display the plot
plt.show()

Output:

Explanation:

• Created a DataFrame with numerical columns.
• Used sns.pairplot() to generate scatter plots for every pair of numerical columns, visualizing the relationships.
• Displayed the resulting pair plot.

Python-Pandas Code Editor:

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