Creating a Histogram Plot with Pandas and Matplotlib

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

Pandas: Visualization Integration Exercise-4 with Solution

Write a Pandas program to create a Histogram Plot with Pandas and Matplotlib.

This exercise demonstrates how to create a histogram to show the distribution of numerical data using Pandas and Matplotlib.

Sample Solution :

Code :

import pandas as pd
import matplotlib.pyplot as plt

# Create a sample DataFrame
df = pd.DataFrame({
    'Ages': [22, 25, 29, 30, 35, 40, 45, 22, 25, 33]
})

# Create a histogram to show the distribution of ages
df['Ages'].plot(kind='hist', bins=5)

# Add a title
plt.title('Age Distribution')

# Display the plot
plt.show()

Output:

Explanation:

• Created a DataFrame with 'Ages' data.
• Used the plot() function with kind='hist' to create a histogram for the age distribution.
• Set the number of bins to 5 and displayed the plot.

Python-Pandas Code Editor:

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