Matplotlib

Status: 🚧 Coming soon — chapters are being written.

Matplotlib is Python's go-to library for static, interactive, and publication-quality plots. It's the foundation most other plotting libraries (Pandas .plot, Seaborn, even sklearn's visualization helpers) build on top of.

What this section will cover

• The figure / axes / artist mental model
• Line, scatter, bar, histogram, box, heatmap basics
• Multi-panel figures with subplots
• Styling: colors, themes, fonts, legends, annotations
• Saving figures for reports and notebooks
• When to reach for Seaborn or Plotly instead

Currently available — related material

While the dedicated Matplotlib chapters are being written, plotting fragments appear in these existing tutorials:

• NumPy → Real-world examples
• Pandas → Real-world examples
• Machine Learning → EDA
• Machine Learning → Linear regression worked example

Check back soon — chapters land here as they're written.