Title and axis labels in Matplotlib - Mini Project: Build & Apply

Title and axis labels

📖 Scenario: You are analyzing sales data for a small store. You want to create a simple line chart to show how sales changed over a week.

🎯 Goal: Create a line chart using matplotlib with a title and labels for the x-axis and y-axis to clearly explain the chart.

📋 What You'll Learn

Create a list called days with the days of the week from Monday to Sunday.

Create a list called sales with the sales numbers for each day: 150, 200, 170, 220, 180, 190, 210.

Use matplotlib.pyplot to plot the sales data as a line chart.

Add a chart title using plt.title() with the text 'Weekly Sales'.

Add an x-axis label using plt.xlabel() with the text 'Day of the Week'.

Add a y-axis label using plt.ylabel() with the text 'Sales (units)'.

Display the chart using plt.show().

💡 Why This Matters

🌍 Real World

Adding titles and axis labels helps anyone looking at your charts understand what the data means quickly.

💼 Career

Data scientists and analysts always label their charts clearly to communicate insights effectively to others.

1

Create the sales data lists

Create a list called days with these exact values: 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'. Then create a list called sales with these exact 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 items with commas.

2

Import matplotlib and prepare to plot

Import matplotlib.pyplot as plt. This will let you create charts easily.

Matplotlib

days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
sales = [150, 200, 170, 220, 180, 190, 210]

# Import matplotlib.pyplot as plt
# Your code here

Need a hint?

Use the import statement to bring in matplotlib.pyplot and rename it as plt.

3

Plot the sales data with title and axis labels

Use plt.plot(days, sales) to create a line chart. Then add a title with plt.title('Weekly Sales'). Add an x-axis label with plt.xlabel('Day of the Week') and a y-axis label with plt.ylabel('Sales (units)').

Matplotlib

import matplotlib.pyplot as plt

days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
sales = [150, 200, 170, 220, 180, 190, 210]

# Plot the sales data
# Add title and axis labels
# Your code here

Need a hint?

Use plt.plot() to draw the line. Use plt.title(), plt.xlabel(), and plt.ylabel() to add text.

4

Display the chart

Use plt.show() to display the chart with the title and axis labels.

Matplotlib

import matplotlib.pyplot as plt

days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
sales = [150, 200, 170, 220, 180, 190, 210]

plt.plot(days, sales)
plt.title('Weekly Sales')
plt.xlabel('Day of the Week')
plt.ylabel('Sales (units)')

# Display the chart
# Your code here

Need a hint?

Call plt.show() to see the chart window pop up.