Label, title, and axis names in Matplotlib - Mini Project: Build & Apply

Label, title, and axis names

📖 Scenario: You are analyzing monthly sales data for a small store. You want to create a simple line chart to show how sales changed over the first six months of the year.

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

📋 What You'll Learn

Create a list called months with the values: 'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun'

Create a list called sales with the values: 250, 300, 280, 350, 400, 420

Use plt.plot() to create a line chart with months on the x-axis and sales on the y-axis

Add the x-axis label 'Month' using plt.xlabel()

Add the y-axis label 'Sales' using plt.ylabel()

Add the chart title 'Monthly Sales Data' using plt.title()

Display the chart using plt.show()

💡 Why This Matters

🌍 Real World

Labeling charts clearly helps people understand data trends quickly, such as sales over months or temperatures over days.

💼 Career

Data scientists and analysts often create charts with clear labels and titles to communicate insights effectively to teams and clients.

1

Create the data lists

Create a list called months with these exact values: 'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun'. Also create a list called sales with these exact values: 250, 300, 280, 350, 400, 420.

Matplotlib

# Create the lists months and sales with the exact values
# 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 to prepare for plotting the data.

Matplotlib

months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']
sales = [250, 300, 280, 350, 400, 420]
# Import matplotlib.pyplot as plt
# Your code here

Need a hint?

Use import matplotlib.pyplot as plt to import the plotting library.

3

Create the line chart with labels and title

Use plt.plot() with months and sales to create the line chart. Then add the x-axis label 'Month' with plt.xlabel(), the y-axis label 'Sales' with plt.ylabel(), and the chart title 'Monthly Sales Data' with plt.title().

Matplotlib

import matplotlib.pyplot as plt

months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']
sales = [250, 300, 280, 350, 400, 420]
# Plot the line chart and add labels and title
# Your code here

Need a hint?

Use plt.plot(x, y) to create the line chart. Use plt.xlabel(), plt.ylabel(), and plt.title() to add labels and title.

4

Display the chart

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

Matplotlib

import matplotlib.pyplot as plt

months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']
sales = [250, 300, 280, 350, 400, 420]

plt.plot(months, sales)
plt.xlabel('Month')
plt.ylabel('Sales')
plt.title('Monthly Sales Data')
# Display the chart
# Your code here

Need a hint?

Use plt.show() to open the window with the chart.