A comprehensive repository demonstrating data visualization using Matplotlib, one of Python's most powerful plotting libraries. This repository contains practical examples of different chart types, customization techniques, and visualization concepts for data analysis.
- 📈 Line Plot
- 📊 Bar Plot
- 🥧 Pie Chart
- 🎨 Plot Customization
- 📝 Titles & Labels
- 🌈 Colors & Styles
- 📏 Figure Size
- 📍 Legends
- 📐 Grid
- 💾 Jupyter Notebook Examples
- Python 3
- Matplotlib
- Jupyter Notebook
Matplotlib/
│
├── Line Plot/
├── Bar Plot/
├── Pie Chart/
├── Simple Plot/
├── README.md
└── requirements.txt
git clone https://github.com/Muhammad-Abubakar147/Matplotlib.gitcd Matplotlibpip install matplotlibOpen any notebook using Jupyter Notebook or VS Code.
Example:
jupyter notebookThen open any .ipynb file and run the cells.
- Creating Line Plots
- Creating Bar Charts
- Creating Pie Charts
- Adding Titles
- Adding Axis Labels
- Customizing Colors
- Using Grid
- Legends
- Figure Size
- Markers
- Basic Data Visualization
Contributions, suggestions, and improvements are welcome.
Feel free to fork the repository and submit a pull request.
If you found this repository helpful, consider giving it a ⭐ on GitHub.
Muhammad Abubakar