Matplotlib Pie Charts

🥧 Pie Chart Visualization

Pie charts are perfect for showing how parts relate to the whole. Each slice represents a proportion of the total dataset.


import matplotlib.pyplot as plt

labels = ['A', 'B', 'C', 'D']
sizes = [25, 30, 20, 25]

plt.pie(sizes, labels=labels)
plt.title('Simple Pie Chart')
plt.show()

Parts

to Whole

Auto

Percentages

Visual

Impact

Pie Chart Features

Customize your pie charts with various visual elements:

🥧

Basic Pie

Simple proportional slices

plt.pie()

🏷️

Labels & Percentages

Add text and percentage values

labels autopct

💥

Exploded Slices

Separate slices for emphasis

explode

🎨

Custom Colors

Color schemes and styling

colors colormap

🔹 Basic Pie Charts

Create simple pie charts to show proportions

# Basic pie chart
import matplotlib.pyplot as plt

labels = ['Python', 'Java', 'JavaScript', 'C++']
sizes = [40, 25, 20, 15]

plt.pie(sizes, labels=labels)
plt.title('Programming Languages Usage')
plt.show()

# With percentages
plt.pie(sizes, labels=labels, autopct='%1.1f%%')
plt.title('Languages with Percentages')
plt.show()

🔹 Exploded Pie Charts

Separate slices to emphasize specific data

# Exploded pie chart
labels = ['A', 'B', 'C', 'D']
sizes = [30, 25, 25, 20]
explode = (0.1, 0, 0, 0)  # explode 1st slice

plt.pie(sizes, explode=explode, labels=labels, 
         autopct='%1.1f%%', shadow=True)
plt.title('Exploded Pie Chart')
plt.show()

# Multiple exploded slices
explode = (0.1, 0.1, 0, 0)
plt.pie(sizes, explode=explode, labels=labels, 
         autopct='%1.1f%%')
plt.title('Multiple Exploded Slices')
plt.show()

🔹 Custom Colors and Styling

Apply colors and visual enhancements

# Custom colors
colors = ['gold', 'lightcoral', 'lightskyblue', 'lightgreen']
labels = ['Q1', 'Q2', 'Q3', 'Q4']
sizes = [25, 30, 20, 25]

plt.pie(sizes, labels=labels, colors=colors, 
         autopct='%1.1f%%', startangle=90)
plt.title('Quarterly Sales')
plt.show()

# Using colormap
import numpy as np
colors = plt.cm.Set3(np.linspace(0, 1, len(sizes)))
plt.pie(sizes, labels=labels, colors=colors, 
         autopct='%1.1f%%')
plt.title('Colormap Pie Chart')
plt.show()

🔹 Advanced Pie Chart Features

Add wedge properties and text formatting

# Advanced styling
labels = ['Category A', 'Category B', 'Category C']
sizes = [40, 35, 25]
colors = ['#ff9999', '#66b3ff', '#99ff99']

wedges, texts, autotexts = plt.pie(sizes, labels=labels, 
                                   colors=colors, autopct='%1.1f%%',
                                   startangle=90, 
                                   wedgeprops={'edgecolor': 'black'})

# Customize text
for autotext in autotexts:
    autotext.set_color('white')
    autotext.set_fontweight('bold')

plt.title('Styled Pie Chart', fontsize=16, fontweight='bold')
plt.axis('equal')  # Equal aspect ratio
plt.show()