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Mastering Matplotlib

You're reading from   Mastering Matplotlib A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781783987542
Length 292 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Up to Speed 2. The matplotlib Architecture FREE CHAPTER 3. matplotlib APIs and Integrations 4. Event Handling and Interactive Plots 5. High-level Plotting and Data Analysis 6. Customization and Configuration 7. Deploying matplotlib in Cloud Environments 8. matplotlib and Big Data 9. Clustering for matplotlib Index

Chapter 4. Event Handling and Interactive Plots

This chapter marks the beginning of our transition into specialized topics. While we will continue making references to the preceding overview, the subsequent chapters will focus on taking you deeper into the domain of advanced matplotlib usage.

In this chapter, we will delve into matplotlib events and interactive plots and cover the following topics:

  • A general overview of event-based systems
  • The anatomy of an event loop
  • The GUI toolkit event loop basics
  • Event loops in IPython and matplotlib
  • Event handling in matplotlib
  • Events for mouse, keyboard, axes, figures, and picking
  • Compound events

The material presented here will be pulled from matplotlib's artist and backend layers, and it should provide a nice starting point for the vast world of user interaction in data visualization.

To follow along with this chapter's code, clone the notebook's repository and start up IPython by using the following code:

$ git clone https://github...
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