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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 3. matplotlib APIs and Integrations

In the previous chapter, we examined the architecture of matplotlib by using the library itself to visualize some aspects of the structure of module imports, particularly the ones related to the scripting, artist, and backend layers of the matplotlib architecture. In this chapter, we are going to examine the developer interfaces against the backdrop of this architectural discussion.

The matplotlib module comes with what are essentially three different application programming interfaces:

  • The pylab interface, a MATLAB analog (deprecated)
  • The pyplot interface, which is synonymous with the scripting layer from the last chapter
  • The matplotlib object-oriented interface

We will define these and talk more about them in the following sections. Since they are covered in great detail elsewhere, we won't spend much time going over each of the functions that is available in the API. Rather we will demonstrate typical good usage for each API type...

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