Data Visualization with Seaborn
summary
Seaborn unveils a ground-up objects interface that builds plots by composing marks stat moves and scales into layers, with methods like plot.add, plot.scale, plot.facet and plot.pair to map columns to color, size, shape and facets; the implementation composes dodging and other adjustments cleanly, is released as an experimental feature, and still talks to matplotlib, so it’s usable now alongside the classic API.
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chapters (8)
- 0:00Introduction to Seaborn
- 0:57History and evolution
- 3:36Classic API design
- 6:32Challenges and limitations
- 11:16The objects interface
- 14:06Using the new interface
- 17:17Ergonomics and flexibility
- 20:20Status and future
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