Percentage labels in Matplotlib - Mini Project: Build & Apply

Percentage labels

📖 Scenario: You work in a small bakery and want to show how much each type of pastry contributes to total sales. You want to create a pie chart that shows the percentage share of each pastry type.

🎯 Goal: Create a pie chart using matplotlib that displays the percentage labels for each pastry type's sales.

📋 What You'll Learn

Create a dictionary called pastry_sales with exact entries for pastry types and their sales numbers.

Create a variable called labels that holds the pastry names from the dictionary.

Create a variable called sizes that holds the sales numbers from the dictionary.

Use matplotlib.pyplot.pie to create a pie chart with percentage labels shown.

Print the pie chart to display it.

💡 Why This Matters

🌍 Real World

Pie charts with percentage labels are useful to show parts of a whole in sales reports, surveys, and business presentations.

💼 Career

Data analysts and business intelligence professionals often create pie charts to communicate data insights clearly to stakeholders.

1

Create the pastry sales data

Create a dictionary called pastry_sales with these exact entries: 'Croissant': 120, 'Muffin': 90, 'Danish': 60, 'Eclair': 30.

Matplotlib

# Create the pastry_sales dictionary with exact values
# Your code here

Need a hint?

Use curly braces {} to create the dictionary with the exact pastry names and sales numbers.

2

Extract labels and sizes

Create a list called labels that contains the keys from pastry_sales. Create a list called sizes that contains the values from pastry_sales.

Matplotlib

pastry_sales = {'Croissant': 120, 'Muffin': 90, 'Danish': 60, 'Eclair': 30}
# Create labels list from pastry_sales keys
# Create sizes list from pastry_sales values
# Your code here

Need a hint?

Use list() with pastry_sales.keys() and pastry_sales.values() to get the lists.

3

Create the pie chart with percentage labels

Import matplotlib.pyplot as plt. Use plt.pie with sizes and labels. Add the argument autopct='%1.1f%%' to show percentage labels on the pie slices.

Matplotlib

pastry_sales = {'Croissant': 120, 'Muffin': 90, 'Danish': 60, 'Eclair': 30}
labels = list(pastry_sales.keys())
sizes = list(pastry_sales.values())
# Import matplotlib.pyplot as plt
# Create pie chart with sizes, labels, and autopct='%1.1f%%'
# Your code here

Need a hint?

Use import matplotlib.pyplot as plt and then plt.pie() with the correct arguments.

4

Display the pie chart

Use plt.show() to display the pie chart.

Matplotlib

import matplotlib.pyplot as plt

pastry_sales = {'Croissant': 120, 'Muffin': 90, 'Danish': 60, 'Eclair': 30}
labels = list(pastry_sales.keys())
sizes = list(pastry_sales.values())

plt.pie(sizes, labels=labels, autopct='%1.1f%%')
# Display the pie chart
# Your code here

Need a hint?

Call plt.show() to open the window with the pie chart.