Donut chart variation in Matplotlib - Mini Project: Build & Apply

Donut Chart Variation

📖 Scenario: You work at a bakery that sells different types of donuts. You want to show which donut flavors are most popular using a donut chart. This chart will help your team understand customer preferences visually.

🎯 Goal: Create a donut chart using matplotlib to display the sales distribution of donut flavors. You will start by setting up the sales data, then configure the chart style, create the donut chart, and finally display it.

📋 What You'll Learn

Use a dictionary called donut_sales with exact keys and values for donut flavors and their sales.

Create a variable called colors to hold a list of colors for the chart slices.

Use matplotlib.pyplot.pie to create a pie chart with a hole in the center to make it a donut chart.

Display the donut chart with labels and a legend.

💡 Why This Matters

🌍 Real World

Donut charts are useful to show parts of a whole in sales, survey results, or any category distribution in a visually appealing way.

💼 Career

Data analysts and scientists often use donut charts to communicate insights clearly to non-technical stakeholders.

1

Set up donut sales data

Create a dictionary called donut_sales with these exact entries: 'Glazed': 40, 'Chocolate': 35, 'Strawberry': 25.

Matplotlib

# Create the donut_sales dictionary with exact entries
# Your code here

Need a hint?

Use curly braces {} to create the dictionary with keys as donut flavors and values as sales numbers.

2

Configure colors for the donut chart

Create a list called colors with these exact color strings: '#ff9999', '#66b3ff', '#99ff99'.

Matplotlib

donut_sales = {'Glazed': 40, 'Chocolate': 35, 'Strawberry': 25}
# Create the colors list with exact color codes
# Your code here

Need a hint?

Colors are strings inside a list. Use square brackets [] and separate colors with commas.

3

Create the donut chart

Import matplotlib.pyplot as plt. Use plt.pie with donut_sales.values() for sizes, labels=donut_sales.keys(), colors=colors, and wedgeprops={{'width': 0.4}} to create a donut chart.

Matplotlib

donut_sales = {'Glazed': 40, 'Chocolate': 35, 'Strawberry': 25}
colors = ['#ff9999', '#66b3ff', '#99ff99']
# Import matplotlib.pyplot as plt
# Create a donut chart using plt.pie with wedgeprops to make a hole
# Your code here

Need a hint?

Use import matplotlib.pyplot as plt at the top. The wedgeprops with {'width': 0.4} creates the donut hole.

4

Display the donut chart

Add plt.title("Donut Sales Distribution") to set the chart title. Then call plt.show() to display the chart.

Matplotlib

import matplotlib.pyplot as plt

donut_sales = {'Glazed': 40, 'Chocolate': 35, 'Strawberry': 25}
colors = ['#ff9999', '#66b3ff', '#99ff99']

plt.pie(donut_sales.values(), labels=donut_sales.keys(), colors=colors, wedgeprops={'width': 0.4})
# Add a title and show the plot
# Your code here

Need a hint?

Use plt.title() to add a title. plt.show() displays the chart window.