Widgets and Traitlets for Interactivity
We talk about the basics of using Traitlets and data binding in visualization.
Basics of Interaction and Engines of Visualization
This week we covered the ways that we can build out interactivity and connect
variables to widgets and widgets to visualization outputs in Jupyter. We also
spent some time starting using bqplot to explore data.
References and Reading List
- Intro to ipywidgets
- Example Widgets Notebooks
- VAD Ch. 7: Arrange Tables
- FDV Ch 7: Visualizing Distributions
Data
- UFO Sitings Dataset (13 Mb)
- Michigan Depth Map (86 Mb)
Lectures
We introduce the basics of bqplot
Examples
Traitlets and Widgets - (download)
We start with some traitlets, linking and widgets stuff, and then move toward matplotlib and linking multiple widgets together
Basic bqplot - (download)
This shows some basics of bqplot, and how it works with traits and widgets
Assignments
Visualize the building inventory dataset