Matplotlib Tutorial for Python — Numpy, Pandas, Matplotlib Projects (Beginner → Advanced)
Learn Matplotlib from scratch to advanced usage in this step-by-step Python tutorial. We'll cover plotting basics, figure & axes, line/scatter/bar/hist plots, customizing colors & styles, annotations, subplots & grids, legends, formatting axes & ticks, saving high-quality images, and tips for publication-ready visuals. Perfect for beginners who want hands-on examples and for intermediate users who want to style and optimize their charts.
What you’ll learn:
• Matplotlib installation and quick start
• figure, axes, plot, scatter, bar, hist, boxplot usage
• Customizing labels, titles, legends, colors, and line styles
• Subplots, GridSpec and sharing axes
• Annotations, text, and adding images to plots
• Adjusting ticks, spines, and aspect ratio
• Saving figures (dpi, formats) and exporting for reports
• Tips for integrating Matplotlib with Pandas and Seaborn
Resources
• Example code: (add your GitHub link)
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