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Interactive Data Visualization with Python - Second Edition

You're reading from  Interactive Data Visualization with Python - Second Edition

Product type Book
Published in Apr 2020
Publisher
ISBN-13 9781800200944
Pages 362 pages
Edition 2nd Edition
Languages
Authors (4):
Abha Belorkar Abha Belorkar
Profile icon Abha Belorkar
Sharath Chandra Guntuku Sharath Chandra Guntuku
Profile icon Sharath Chandra Guntuku
Shubhangi Hora Shubhangi Hora
Profile icon Shubhangi Hora
Anshu Kumar Anshu Kumar
Profile icon Anshu Kumar
View More author details
Toc

Table of Contents (9) Chapters close

Preface 1. Introduction to Visualization with Python – Basic and Customized Plotting 2. Static Visualization – Global Patterns and Summary Statistics 3. From Static to Interactive Visualization 4. Interactive Visualization of Data across Strata 5. Interactive Visualization of Data across Time 6. Interactive Visualization of Geographical Data 7. Avoiding Common Pitfalls to Create Interactive Visualizations Appendix

Other Interactive Plots in altair

Now that we know how to add interactivity to scatter plots, let's learn how to introduce interactivity to two other important visualization types – bar plots and heatmaps. We also encourage you to read the official documentation and look at the official example gallery at https://altair-viz.github.io/gallery/index.html to explore altair so as to be aware of the wide variety of visualization types possible in it.

Exercise 33: Adding a Zoom-In and Zoom-Out Feature and Calculating the Mean on a Static Bar Plot

In this exercise, first, we will generate a simple (static) bar plot and then explore interactivity such as zooming in and out. Then, we'll use the same bar plot and find out the mean of the Happy Planet Index of each region. We'll use the altair library here and the Happy Planet Index dataset:

  1. Import the altair module as alt:
    import altair as alt
  2. Read from the dataset:
    hpi_url = "https://raw.githubusercontent...
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