Axes creation with add_subplot in Matplotlib - Mini Project: Build & Apply

Axes Creation with add_subplot in Matplotlib

📖 Scenario: You are working on a simple data visualization project. You want to create a plot with multiple sections (subplots) to compare different data sets side by side.

🎯 Goal: Build a Python script that creates a figure and adds two subplots using add_subplot. Each subplot will later hold a different plot.

📋 What You'll Learn

Create a figure object using plt.figure()

Add a first subplot to the figure using add_subplot(1, 2, 1)

Add a second subplot to the figure using add_subplot(1, 2, 2)

Print the axes objects to confirm creation

💡 Why This Matters

🌍 Real World

Creating multiple plots in one figure helps compare data sets side by side, useful in reports and presentations.

💼 Career

Data scientists and analysts often create multi-plot figures to visualize and compare different data trends clearly.

1

Create a figure object

Write code to create a figure object called fig using plt.figure().

Matplotlib

import matplotlib.pyplot as plt
# Create a figure object called fig
# Your code here

Need a hint?

Use plt.figure() to create a new figure and assign it to fig.

2

Add the first subplot

Add a subplot to the figure fig using add_subplot(1, 2, 1) and assign it to a variable called ax1.

Matplotlib

import matplotlib.pyplot as plt
fig = plt.figure()
# Add the first subplot to fig and assign it to ax1
# Your code here

Need a hint?

Use fig.add_subplot(1, 2, 1) to add the first subplot and save it as ax1.

3

Add the second subplot

Add a second subplot to the figure fig using add_subplot(1, 2, 2) and assign it to a variable called ax2.

Matplotlib

import matplotlib.pyplot as plt
fig = plt.figure()
ax1 = fig.add_subplot(1, 2, 1)
# Add the second subplot to fig and assign it to ax2
# Your code here

Need a hint?

Use fig.add_subplot(1, 2, 2) to add the second subplot and save it as ax2.

4

Print the axes objects

Print the variables ax1 and ax2 to display the axes objects created by add_subplot.

Matplotlib

import matplotlib.pyplot as plt
fig = plt.figure()
ax1 = fig.add_subplot(1, 2, 1)
ax2 = fig.add_subplot(1, 2, 2)
# Print ax1 and ax2
# Your code here

Need a hint?

Use print(ax1) and print(ax2) to show the axes objects.