Time series with filled area and custom facetting in Matplotlib: Shows how to create a legend with both lines and patches and how to place it in an arbitrary position in a visualization with multiple panels.The Office Ratings with Python and Matplotlib: Shows how to mimic a legend from scratch when built-in functions aren't enough.Mario Kart 64 World Records with Python and Matplotlib: Showcases how to put both a legend and a colormap.Shows how to position a legend in a visualization with multiple panels and customize several aspects.
Chris Claremont's X-Men comics exploration with streamcharts in Matplotlib: One of the most beautiful charts in this collection.This function makes it easy to change properties of all text handles with a single command, for example to alter the font size or style. Text may appear in a figure window in several different contexts. In MATLAB it is possible to create function handles with something like. Radar chart with Matplotlib: Shows how to manually overlay lines and dots in the same handle. How do I create a legend and include loop variable values in the labels Follow 2,037 views (last 30 days) Show older comments Doron on Vote 4 Link Edited: Nasim Hasanpour on Accepted Answer: Kevin Holst I created the matrix P with 400 rows, 3 columns (which I call X, Y and Z). Provides a simple way to change properties of all label text in a figure window.Circular barplot with Matplotlib: Actually not a legend, but a colorbar with discrete scales that looks very cool. Add titles, axis labels, informative text, and other graph annotations.Wouldn't it be really cool to see how these things are used in real-life examples? Of course it would! The following is a list of highly customized visualizations made in Matplotlib that contain beautiful legends made with the tricks shown above.
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