Create a Basic Line Plot with Pandas and Matplotlib

Last update on December 21 2024 07:40:54 (UTC/GMT +8 hours)

Pandas: Visualization Integration Exercise-1 with Solution

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().

Python-Pandas Code Editor:

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