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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 FREE CHAPTER 2. The matplotlib Architecture 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

Event loops in matplotlib

In the chapter on matplotlib architecture, we mentioned the event loops that the GUI toolkits use and which are integrated with matplotlib. As you dig through the matplotlib libraries, you will eventually come across several mentions with regard to the event loops that are not from the GUI toolkits. So that we can better understand the difference between these and, more importantly, the event handling and user interaction with plots, we're going to spend some time learning more about these event loops in matplotlib.

Event-based systems

In general, event loops are part of a recurring set of patterns that are used together in various computing frameworks. Often, they comprise of the following:

  • An incoming event
  • A mechanism that is used to respond to an event
  • A looping construct (for example, the while loop, listener, and the message dispatch mechanism)

Event-based systems are typically asynchronous in nature, allowing events to be sent to the system and then responded...

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