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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

Chapter 6. Customization and Configuration

This chapter marks a conceptual dividing line for the book. We've focused on topics such as matplotlib internals and APIs, plot interaction, high-level plotting, and the use of third-party libraries. We will continue in that vein in the first part of this chapter as we discuss advanced customization techniques for matplotlib. We will finish the chapter by discussing the elements of the advanced and lesser-known matplotlib configuration. The configuration theme will continue into the next chapter and then go beyond that into the realm of deployment. As such, this chapter will mark a transition to our exploration of matplotlib in the real world and its usage in computationally intensive tasks.

This chapter will provide an overview of the following, giving you enough confidence to tackle these in more depth at your own pace:

  • Customization
    • matplotlib styles
    • Subplots
    • Further exploration
  • Configuration
    • The matplotlib run control
    • Options in IPython...
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