Data visualization with plotly py: Version 3 and beyond
summary
Plotly.py version 3 adds two-way widget sync so figures become live FigureWidget objects with an imperative property-assignment API, real-time hover and selection callbacks, and improved validation and autocompletion. It ships a packaged Electron image exporter called Orca electron image exporter to create publication-quality SVG/PDF and raster outputs. New traces (barpolar, histogram2dcontour, 3D cone/streamtube, parallel categories), theming, LaTeX mathjax in notebook, and binary transfer that handles ~1e6 points are demonstrated working end-to-end.
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chapters (14)
- 0:00Introduction
- 2:03Plotly.js background
- 5:34Version 3 key features
- 6:59Scatter plot demo
- 11:13Notebook views demo
- 15:13Overplotting and contours demo
- 17:21Sliders demo
- 18:27Hover tooltips demo
- 21:58Selection callbacks demo
- 24:06Updates and features since version 3 release
- 28:24Theming support demo
- 30:41Static image export demo
- 31:51LaTeX in labels demo
- 33:16Summary
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