This repository is dedicated to my hands-on learning and practice with Matplotlib — one of the most widely used data visualization libraries in Python.
Matplotlib provides an extensive set of tools for creating a wide variety of plots, ranging from basic line and bar charts to complex multi-plot layouts. It’s highly customizable, supports different output formats (.png, .jpg, .pdf, etc.), and integrates well with libraries like NumPy and Pandas.
Through this repo, I aim to explore Matplotlib step by step — starting from the basics (simple plots, labels, legends) and gradually moving into styling, advanced customization, and real-world datasets.
This will serve as my personal reference library of examples, experiments, and reusable code snippets for future data analysis and machine learning projects.
- To build a solid foundation in data visualization with Python.
- To collect all my practice scripts in one place for future reference.
- To explore different chart types, customizations, and tricks with Matplotlib.
- To eventually use this knowledge in data science, analytics, and ML projects.
Here are some of the plots I’ve created while learning Matplotlib:
video.mp4
