Creating a Bar Plot with Pandas and Matplotlib

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

3. Scatter Plot with Seaborn and Pandas

Write a Pandas program that scatters Plot with Seaborn and Pandas.

This exercise shows how to create a scatter plot using Pandas and Seaborn to visualize relationships between two variables.

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]
})

# Create a scatter plot of 'Height' vs 'Weight'
sns.scatterplot(x='Height', y='Weight', data=df)

# Add a title
plt.title('Height vs Weight')

# Display the plot
plt.show()

Output:

Explanation:

• Created a DataFrame with 'Height' and 'Weight' columns.
• Used sns.scatterplot() to plot 'Height' vs 'Weight' as a scatter plot.
• Added a title and displayed the plot using plt.show().

For more Practice: Solve these Related Problems:

• Write a Pandas program to create a scatter plot using Seaborn with the hue parameter set to a categorical column.
• Write a Pandas program to plot a scatter graph that includes a regression line and displays the confidence interval.
• Write a Pandas program to generate a scatter plot where marker size is proportional to a third variable from the DataFrame.
• Write a Pandas program to create a scatter plot with jitter added to handle overlapping points in a dense dataset.

Python-Pandas Code Editor:

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