Creating a Histogram Plot with Pandas and Matplotlib

Last update on April 09 2025 12:56:30 (UTC/GMT +8 hours)

4. Histogram Plot with Pandas and Matplotlib

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.

For more Practice: Solve these Related Problems:

• Write a Pandas program to create a histogram with custom bin sizes and annotate the bin with the highest frequency.
• Write a Pandas program to generate overlapping histograms for two columns with transparency adjustments to compare distributions.
• Write a Pandas program to create a histogram for a DataFrame column and overlay a kernel density estimate (KDE) plot.
• Write a Pandas program to create a cumulative histogram and compare it with the original frequency distribution.

Python-Pandas Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.