From plotting to chart porn - Creating slick charts with Matplotlib

on YouTube ↗30m

" summary

Recreates ggplot2 aesthetics in Matplotlib by showing concrete code: loads Iris and Boston datasets, uses style.use('ggplot') and a custom ggplot-like style file (font sizes, dotted grids, seven complementary colors), builds large figure and axes objects with plt.subplots to control pixel sizes and layout, flattens axes array to place specific histograms, and maps a third variable to color with colormaps and helper functions to get legend handles; demonstrates a plotted scatter that aims for chart porn quality and works as a reproducible Matplotlib pipeline.

AI-written summary · about

" chapters (6)

1. 0:00Introduction to chart porn
2. 4:22Data preparation
3. 5:45Working with styles
4. 14:48Figures and axes objects
5. 22:01Advanced layout control
6. 25:02Color mapping and visualization

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