Plt.subplots with rows and columns in Matplotlib - Mini Project: Build & Apply

Create a Grid of Plots Using plt.subplots with Rows and Columns

📖 Scenario: You are a data analyst who needs to visualize multiple sets of data side by side. To do this neatly, you want to create a grid of plots using matplotlib.

🎯 Goal: Build a 2 by 2 grid of plots using plt.subplots with rows and columns, then plot simple line charts on each subplot.

📋 What You'll Learn

Use plt.subplots to create a figure with 2 rows and 2 columns of subplots

Plot a simple line on each subplot using the provided data

Use the variables fig and axes exactly as shown

Print the figure and axes objects to confirm creation

💡 Why This Matters

🌍 Real World

Creating multiple plots in a grid helps compare different data sets side by side, like sales over months for different products.

💼 Career

Data scientists and analysts often use subplot grids to present multiple visual insights clearly in reports and presentations.

1

Create a 2x2 grid of subplots

Write code to create a figure and a 2 by 2 grid of subplots using plt.subplots. Assign the outputs to variables fig and axes.

Matplotlib

import matplotlib.pyplot as plt
# Create a 2 by 2 grid of subplots using plt.subplots
# Your code here

Need a hint?

Use plt.subplots(nrows=2, ncols=2) and assign the result to fig, axes.

2

Prepare data for plotting

Create a list called data containing four lists of numbers: [1, 2, 3], [3, 2, 1], [1, 3, 2], and [2, 1, 3].

Matplotlib

import matplotlib.pyplot as plt
fig, axes = plt.subplots(nrows=2, ncols=2)
# Create a list called data with four lists of numbers
# Your code here

Need a hint?

Make a list named data with exactly these four lists inside.

3

Plot each data list on the subplots

Use a for loop with variables ax and d to iterate over axes.flat and data simultaneously. Inside the loop, call ax.plot(d) to plot the data on each subplot.

Matplotlib

import matplotlib.pyplot as plt
fig, axes = plt.subplots(nrows=2, ncols=2)
data = [[1, 2, 3], [3, 2, 1], [1, 3, 2], [2, 1, 3]]
# Use a for loop to plot each list in data on each subplot in axes.flat
# Your code here

Need a hint?

Use zip(axes.flat, data) to loop over both together and plot each data list on its subplot.

4

Display the figure and print objects

Print the variables fig and axes on separate lines. Then call plt.show() to display the plots.

Matplotlib

import matplotlib.pyplot as plt
fig, axes = plt.subplots(nrows=2, ncols=2)
data = [[1, 2, 3], [3, 2, 1], [1, 3, 2], [2, 1, 3]]
for ax, d in zip(axes.flat, data):
    ax.plot(d)
# Print fig and axes, then show the plot
# Your code here

Need a hint?

Use print(fig) and print(axes) to show the objects, then plt.show() to display the figure.