Matplotlib course

[Haleshot]

We're seeking contributors for a comprehensive course on Matplotlib! Contributors will be credited as authors in the course's directory and in the notebooks they contribute.

Claiming a notebook.

Any notebook without an assigned author needs a contributor. To get started, leave a comment to claim a notebook you'd like to contribute, and then create a pull request with your draft.

Please let us know if you have feedback on the proposed notebooks; we are open to changing the course structure as well.

Notebook	Description	Status	Author
Why Matplotlib	Introduction to Matplotlib's place in the Python visualization ecosystem and its design philosophy	🚧
Matplotlib Architecture	Understanding Figure, Axes, Artists, and the object-oriented vs pyplot interfaces	🚧
Basic Line and Scatter Plots	Creating customized line and scatter plots with markers, styles, and colors	🚧
Bar Charts and Histograms	Building vertical, horizontal, stacked, and grouped bar charts with labels	🚧
Statistical Visualization	Box plots, violin plots, error bars, and kernel density estimates	🚧
Fill Between and Area Charts	Highlighting regions between curves and creating filled area plots with transparency	🚧
Text and Annotations	Adding rich text elements, mathematical equations, arrows, and annotations	🚧
Working with Images	Displaying, transforming, and analyzing images using imshow and related functions	🚧
Contour Plots and Heatmaps	Creating contour lines, filled contours, and customized heatmaps	🚧
Multiple Subplots and Layouts	Creating complex layouts with GridSpec, nested layouts, and insets	🚧
3D Plotting Fundamentals	Creating 3D scatter, surface, wireframe, and contour plots	🚧
Custom Colormaps and Color Management	Working with colormaps, normalizations, and creating custom color schemes	🚧
Vector Fields and Stream Plots	Creating quiver plots, streamplots, and barbs for vector data visualization	🚧
Event Handling and Interactivity	Working with mouse clicks, hover events, and building interactive plots	🚧
Animation Techniques	Creating frame-based animations, real-time plots, and saving animations	🚧
Specialty Plots	Radar charts, Sankey diagrams, Hinton diagrams, and other specialized visualizations	🚧
Performance Optimization	Path simplification, marker subsampling, chunking, and other techniques for large datasets	🚧
Style Sheets and Customization	Using built-in styles, creating custom styles, and controlling plot aesthetics	🚧
Polar and Geographic Plotting	Working with polar coordinates and map projections	🚧
Matplotlib for Scientific Publication	Creating publication-quality figures and adhering to visual best practices	🚧

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