Turning DataFrames into Pretty Pictures with Plotnine
summary
Demonstrates that plotnine (Python ggplot2) lets one go from verbose plotting code to a four‑line Anscombe plot, claims it covers 95% of ggplot2 use cases, and uses polars or pandas under the hood while rendering with Matplotlib so it can plot millions of points. Provides notebooks and a GitHub repo, uses CityBike data for hands‑on exercises, and shows a working great tables pipeline that outputs publication‑style tables (tables render successfully in the demo).
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chapters (19)
- 0:00Introduction to Plotnine
- 2:25What Plotnine creates
- 7:44Visualize data first
- 9:31Plotnine basics
- 11:00Grammar of graphics
- 13:29First scatter plot
- 16:42Exercise setup
- 25:46Exercise one solutions
- 30:10Citybike dataset
- 32:44Statistical transformations
- 35:19Exercise two aggregation
- 39:38Scales and mappings
- 46:20Layers and data frames
- 49:44Exercise three colors
- 59:02Static aesthetics
- 1:05:37Exercise four layers
- 1:15:20Great Tables intro
- 1:23:16Summary and resources
- 1:24:41Q&A
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