Create a Basic Line Plot with Pandas and Matplotlib

Last update on April 09 2025 12:56:10 (UTC/GMT +8 hours)

1. Basic Line Plot with Pandas and Matplotlib

Write a Pandas program to draw a basic line plot with Pandas and Matplotlib.

This exercise demonstrates how to create a simple line plot using Pandas and Matplotlib.

Sample Solution :

Code :

import pandas as pd
import matplotlib.pyplot as plt

# Create a sample DataFrame
df = pd.DataFrame({
    'Year': [2017, 2018, 2019, 2020, 2021],
    'Sales': [200, 250, 300, 350, 400]
})

# Plot the 'Year' against 'Sales' using a line plot
plt.plot(df['Year'], df['Sales'])

# Add labels and a title
plt.xlabel('Year')
plt.ylabel('Sales')
plt.title('Yearly Sales Trend')

# Display the plot
plt.show()

Output:

Explanation:

• Created a sample DataFrame with 'Year' and 'Sales' columns.
• Used plt.plot() to plot 'Year' vs 'Sales'.
• Added axis labels and a title to the plot using plt.xlabel(), plt.ylabel(), and plt.title().
• Displayed the plot using plt.show().

For more Practice: Solve these Related Problems:

• Write a Pandas program to create a basic line plot for a DataFrame with a datetime index and multiple numerical columns.
• Write a Pandas program to draw a line plot showing the cumulative sum of a column with markers at specified intervals.
• Write a Pandas program to plot a rolling average over a specified window on a time series dataset using a line plot.
• Write a Pandas program to create a dual y-axis line plot for two different numerical columns on the same figure.

Python-Pandas Code Editor:

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