Creating and Customizing Pie Charts in Python with Matplotlib

Hello and welcome! In today's lesson, we dive into the world of Pie Charts in Python. Pie charts enable you to depict proportions visually, illustrating populations by continents where each slice represents a part of the total, for instance. Today, you'll learn to create and customize pie charts in Python using Matplotlib.

Pie charts are a type of graphic where the circle (the "pie") is divided into "slices," each of which represents a different category. Imagine a pizza where each slice is a fruit type - apples, oranges, bananas, and grapes. The size of each slice corresponds to the quantity of each fruit. To create pie charts, we'll be using the well-established Python data visualization library: Matplotlib.

Let's create a pie chart depicting the favorite fruits of a group of people, which could represent consumer preferences in a market survey. We will use this dataset:

import matplotlib.pyplot as plt
import pandas as pd

# Dataframe for plotting
df = pd.DataFrame({'Fruits': ['Apples', 'Bananas', 'Cherries', 'Dates'],
                   'Counts': [15, 30, 45, 10]})
labels = df['Fruits']
sizes = df['Counts']

Let's start crafting a pie chart for this dataset.

Pie Chart Components:

• Slices: Portions of each fruit preference.
• Labels: Names of the fruits.

Crafting a Pie Chart: With the Matplotlib library, we can create an informative and appealing pie chart. It takes the data array and labels for it. We will also pass the startangle parameter, which rotates the graph, to make its layout fancier.

plt.pie(sizes, labels=labels, startangle=20)
plt.title('Fruits Preferences')
plt.axis('equal')  # ensures the pie chart is a perfect circle
plt.show()

Result:

This chart helps us visualize the division of preferences, much like how market shares are illustrated in business.