Multi-line text in Matplotlib - Mini Project: Build & Apply

Adding Multi-line Text to a Matplotlib Plot

📖 Scenario: You are creating a simple plot to show sales data for two products. You want to add a multi-line text note on the plot to explain the data.

🎯 Goal: Build a plot with two lines and add a multi-line text annotation inside the plot area.

📋 What You'll Learn

Create a plot with two lines representing sales data.

Add a multi-line text note inside the plot using plt.text.

Use newline characters \n to create multiple lines in the text.

💡 Why This Matters

🌍 Real World

Adding multi-line text notes on plots helps explain data clearly in reports and presentations.

💼 Career

Data scientists and analysts often annotate plots with multi-line text to highlight insights or provide context.

1

Create sales data lists

Create two lists called sales_product_a and sales_product_b with these exact values: [10, 15, 20, 25] and [12, 18, 22, 28] respectively.

Matplotlib

# Create sales data lists
# Your code here

Need a hint?

Use square brackets to create lists with the exact numbers given.

2

Create x-axis values

Create a list called months with these exact values: [1, 2, 3, 4] representing four months.

Matplotlib

sales_product_a = [10, 15, 20, 25]
sales_product_b = [12, 18, 22, 28]
# Create months list
# Your code here

Need a hint?

Use a list with the numbers 1 to 4 for months.

3

Plot the sales data lines

Import matplotlib.pyplot as plt. Use plt.plot to plot months vs sales_product_a and months vs sales_product_b. Add labels 'Product A' and 'Product B' respectively.

Matplotlib

sales_product_a = [10, 15, 20, 25]
sales_product_b = [12, 18, 22, 28]
months = [1, 2, 3, 4]
# Import matplotlib.pyplot as plt
# Plot sales_product_a and sales_product_b against months with labels
# Your code here

Need a hint?

Use plt.plot(x, y, label='name') to plot lines with labels.

4

Add multi-line text and show plot

Use plt.text to add multi-line text at position (2, 15) with the exact text: 'Sales Data\nProduct A and B'. Then add plt.legend() and plt.show() to display the plot.

Matplotlib

import matplotlib.pyplot as plt

sales_product_a = [10, 15, 20, 25]
sales_product_b = [12, 18, 22, 28]
months = [1, 2, 3, 4]

plt.plot(months, sales_product_a, label='Product A')
plt.plot(months, sales_product_b, label='Product B')
# Add multi-line text at (2, 15) with 'Sales Data\nProduct A and B'
# Add legend and show the plot
# Your code here

Need a hint?

Use plt.text(x, y, 'line1\nline2') to add multi-line text.