Fig, ax = plt.subplots pattern in Matplotlib - Mini Project: Build & Apply

Using the Fig, ax = plt.subplots Pattern in Matplotlib

📖 Scenario: You are a data analyst who wants to create a simple line chart to show sales over a week. You will use the fig, ax = plt.subplots() pattern to create the plot.

🎯 Goal: Build a line plot using fig, ax = plt.subplots() to display sales data for 7 days.

📋 What You'll Learn

Create a list called days with the values: 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'.

Create a list called sales with the values: 150, 200, 170, 220, 180, 190, 210.

Use fig, ax = plt.subplots() to create the figure and axes.

Plot the sales data on the axes with days on the x-axis and sales on the y-axis.

Set the title of the plot to 'Weekly Sales'.

Display the plot using plt.show().

💡 Why This Matters

🌍 Real World

Creating clear and simple charts is important for sharing data insights with others in business, science, and everyday life.

💼 Career

Data analysts and scientists use matplotlib and the fig, ax = plt.subplots() pattern to build flexible and professional plots for reports and presentations.

1

Create the sales data lists

Create a list called days with the values 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'. Also create a list called sales with the values 150, 200, 170, 220, 180, 190, 210.

Matplotlib

# Create the days and sales lists
# Your code here

Need a hint?

Use square brackets to create lists. Separate each day and sales number with commas.

2

Create the figure and axes using plt.subplots()

Import matplotlib.pyplot as plt. Then create the figure and axes by writing fig, ax = plt.subplots().

Matplotlib

days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
sales = [150, 200, 170, 220, 180, 190, 210]

# Import matplotlib.pyplot as plt
# Create fig and ax using plt.subplots()
# Your code here

Need a hint?

Use import matplotlib.pyplot as plt to import. Then call plt.subplots() to get fig and ax.

3

Plot the sales data on the axes

Use the ax.plot() method to plot days on the x-axis and sales on the y-axis. Then set the plot title to 'Weekly Sales' using ax.set_title().

Matplotlib

import matplotlib.pyplot as plt

days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
sales = [150, 200, 170, 220, 180, 190, 210]

fig, ax = plt.subplots()

# Plot sales vs days using ax.plot()
# Set the title to 'Weekly Sales' using ax.set_title()
# Your code here

Need a hint?

Use ax.plot(x, y) to draw the line. Use ax.set_title('Weekly Sales') to add the title.

4

Display the plot

Use plt.show() to display the plot on the screen.

Matplotlib

import matplotlib.pyplot as plt

days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
sales = [150, 200, 170, 220, 180, 190, 210]

fig, ax = plt.subplots()
ax.plot(days, sales)
ax.set_title('Weekly Sales')

# Display the plot using plt.show()
# Your code here

Need a hint?

Call plt.show() to open the plot window.