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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

Summary


In this chapter, we covered a lot of detailed material by starting with a high-level logical overview of matplotlib's structure. We then learned about the source code and examined how the matplotlib modules were laid out. We figured out the modules that were associated with different logical layers. Finally, we peered into the depths of matplotlib by tracing the function and method calls through the code. This was done by using a sample script in an interactive Python session.

One of the most commonly recommended practices for open source developers who want to improve is to read copious amounts of source code for the projects that you use the most and care about deeply. Similarly, as you develop your mastery of matplotlib, you will find yourself spending more and more time reading the source, exploring its depths, and ultimately making contributions to the project. This chapter is your first step in this direction.

The next step is learn more about the scripting layer and its best...

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