Creating a Scatter Plot with Pandas and Seaborn

Last update on April 09 2025 12:56:08 (UTC/GMT +8 hours)

5. Box Plot with Pandas and Seaborn

Write a Pandas program to create a Box Plot with Pandas and Seaborn.

This exercise creates a box plot to visualize the distribution and outliers in a dataset using Pandas and Seaborn.

Sample Solution :

Code :

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

# Create a sample DataFrame
df = pd.DataFrame({
    'Scores': [50, 55, 60, 65, 70, 75, 80, 85, 90, 100]
})

# Create a box plot of 'Scores'
sns.boxplot(y='Scores', data=df)

# Add a title
plt.title('Score Distribution Box Plot')

# Display the plot
plt.show()

Output:

Explanation:

• Created a DataFrame with 'Scores' data.
• Used sns.boxplot() to create a box plot that visualizes the distribution of scores and highlights any outliers.
• Added a title and displayed the plot.

For more Practice: Solve these Related Problems:

• Write a Pandas program to create a box plot grouped by a categorical column and display the outlier values.
• Write a Pandas program to create side-by-side box plots for multiple numerical columns in one figure.
• Write a Pandas program to generate a box plot with custom whisker lengths and different color codes for each group.
• Write a Pandas program to plot a box plot and overlay data points as a swarm plot using Seaborn.

Python-Pandas Code Editor:

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