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Mastering Matplotlib

Mastering Matplotlib

By : Duncan M. McGreggor, Duncan M McGreggor
3.5 (8)
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Mastering Matplotlib

Mastering Matplotlib

3.5 (8)
By: Duncan M. McGreggor, Duncan M McGreggor

Overview of this book

If you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you.
Table of Contents (11 chapters)
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10
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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