bqplot Interactive Data Visualization in Jupyter

on YouTube ↗31m

" summary

bqplot is an interactive 2D plotting library for Jupyter that exposes every chart attribute as an ipywidget and links Python to D3.js/SVG in the browser, claiming bi-directional widgets so Python callbacks react to selection and edits. Two APIs arrive: a pyplot-like convenience layer and a grammar-of-graphics object model. Demos show a Gapminder recreation, streaming training plots, dashboard widgets and a market-map and they all run inside the notebook with no JavaScript required and live updates working.

AI-written summary · about

" chapters (12)

1. 0:00BQPlot introduction
2. 3:10Live scatter plot demo
3. 6:23Object model and grammar
4. 8:30Plot types and geo viz
5. 11:29Model debugging with BQPlot
6. 13:59Hans Rosling wealth viz
7. 18:35Streaming data monitoring
8. 21:47Interactions and selections
9. 24:36Market map visualizations
10. 27:07Tooltips and widgets
11. 29:21Outlier filtering heat maps
12. 31:06Q&A

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