Python Matplotlib basics

1. What is Matplotlib?

Matplotlib is a Python library used to create charts and graphs.

In simple words:
👉 Matplotlib helps you see data in picture form
👉 It turns numbers into graphs
👉 Very useful in Data Science and reports

2. Why Use Matplotlib?

We use Matplotlib because:
✔ Easy to learn
✔ Makes data easy to understand
✔ Creates charts, graphs, plots
✔ Used in real-world data analysis

3. Install Matplotlib

If not installed, run:

4. Import Matplotlib

Example

👉 plt is a short name (standard practice).

5. Your First Simple Plot

Example

👉 This shows a line graph.

6. Line Chart with X and Y Values

Example

7. Add Title and Labels

Example

8. Bar Chart (Very Common)

Example

9. Pie Chart

Example

10. Scatter Plot

Example

11. Multiple Lines in One Graph

Example

12. Real-World Example: Monthly Sales Report

Example

13. Save Graph as Image

Example

14. Common Beginner Mistakes

❌ Forgetting plt.show()
❌ Not importing matplotlib
❌ Mixing x and y lengths
❌ Too much data without labels

15. Simple Practice Examples

Example 1: Temperature Chart

Example 2: Attendance Bar Chart

Example 3: Expense Pie Chart

16. Where Matplotlib is Used?

✔ Data Science
✔ Business reports
✔ School & college projects
✔ Machine Learning visualization
✔ Research & analysis

17. Summary (Python Matplotlib Basics)

✔ Matplotlib creates graphs
✔ Easy to visualize data
✔ Supports many chart types
✔ Very useful in real projects
✔ Must-learn for Data Science

📘 Perfect for Beginner Data Science eBook

This chapter is ideal for:

• Python learners

• Data Science beginners

• Students & professionals

• Project-based learning

If you want next, I can write:

• Matplotlib Styling & Colors

• Matplotlib with Pandas

• Advanced Charts

• Data Visualization Projects

Just tell me 😊