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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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Author (1):
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Duncan M. McGreggor Duncan M. McGreggor
Author Profile Icon Duncan M. McGreggor
Duncan M. McGreggor
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Table of Contents (16) Chapters Close

Mastering matplotlib
Credits
About the Author
About the Reviewers
www.PacktPub.com
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

The supporting components of the matplotlib stack


In addition to the three major components of the matplotlib stack, there are supporting components. These include the following:

  • Configuration support

  • Utility modules and functions

  • C extensions

  • External libraries upon which matplotlib depends

We will touch on these in the coming chapters. They are related to the given topics at hand, but they do not impact the structure or nature of matplotlib's overall architecture.

Combining the details uncovered in the previous sections, the following diagram portrays a logical architecture for matplotlib that glosses over the finer details:

To make this more of a living reality, we will follow this high-level description with some more detailed examinations, which consist of the following:

  • Learning about matplotlib modules and associated namespaces

  • Creating a sample import graph

  • Following the execution of the pyplot functions through the matplotlib stack

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