Tuesday, 17 February 2026

๐Ÿฅง Day 25: Pie Chart in Python

 

๐Ÿฅง Day 25: Pie Chart in Python

๐Ÿ”น What is a Pie Chart?

A Pie Chart is a circular visualization that shows how different categories contribute to a whole (100%).


๐Ÿ”น When Should You Use It?

Use a pie chart when:

  • You want to show percentage distribution

  • Categories are limited

  • Highlighting dominant portions

Avoid it when precise comparison is needed.


๐Ÿ”น Example Scenario

You want to visualize:

  • Market share of products

  • Budget allocation

  • Time spent on activities

A pie chart instantly shows which category has the largest share.


๐Ÿ”น Key Idea Behind It

๐Ÿ‘‰ Entire circle represents 100%
๐Ÿ‘‰ Each slice shows relative contribution
๐Ÿ‘‰ Focus is on visual comparison, not exact values


๐Ÿ”น Python Code (Pie Chart)

import matplotlib.pyplot as plt labels = ['Product A', 'Product B', 'Product C', 'Product D'] sizes = [40, 25, 20, 15] plt.pie( sizes,
labels=labels,
autopct='%1.1f%%',
startangle=90 ) plt.title('Market Share Distribution')
plt.axis('equal')
plt.show()

๐Ÿ”น Output Explanation

  • Larger slices represent higher percentages

  • Percent values are displayed on the chart

  • Equal axis ensures a perfect circle


๐Ÿ”น Pie Chart vs Bar Chart

AspectPie ChartBar Chart
PurposeShow proportionsCompare values
AccuracyLowHigh
Data sizeSmallAny
Trend

๐Ÿ”น Key Takeaways

  • Best for simple percentage breakdowns

  • Avoid too many categories

  • Not suitable for precise comparisons

  • Use labels and percentages clearly


0 Comments:

Post a Comment

Popular Posts

Categories

100 Python Programs for Beginner (118) AI (200) Android (25) AngularJS (1) Api (7) Assembly Language (2) aws (28) Azure (8) BI (10) Books (262) Bootcamp (1) C (78) C# (12) C++ (83) Course (84) Coursera (299) Cybersecurity (29) data (1) Data Analysis (25) Data Analytics (18) data management (15) Data Science (285) Data Strucures (15) Deep Learning (117) Django (16) Downloads (3) edx (21) Engineering (15) Euron (30) Events (7) Excel (18) Finance (9) flask (3) flutter (1) FPL (17) Generative AI (59) Git (9) Google (47) Hadoop (3) HTML Quiz (1) HTML&CSS (48) IBM (41) IoT (3) IS (25) Java (99) Leet Code (4) Machine Learning (241) Meta (24) MICHIGAN (5) microsoft (9) Nvidia (8) Pandas (13) PHP (20) Projects (32) Python (1254) Python Coding Challenge (1030) Python Mistakes (50) Python Quiz (422) Python Tips (5) Questions (3) R (72) React (7) Scripting (3) security (4) Selenium Webdriver (4) Software (19) SQL (46) Udemy (17) UX Research (1) web application (11) Web development (8) web scraping (3)

Followers

Python Coding for Kids ( Free Demo for Everyone)