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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

Summary

With this chapter, we reached the culmination of our adventure through the advanced topics in the world of matplotlib. Many of the topics covered in the latter half of this book crossed into other domains, as is often the case with the advanced usage of any software. These topics explored systems that did not have a direct and obvious connection with the narrow scope of matplotlib as a library. Rather, they reflected the usage patterns that are requested of software engineers working on real-world problems.

This bears further reflection. Often, computing problems in both research settings and start-ups are initially tackled quickly to get the results and examine the data as soon as possible. The next round of usage might require the addition of a bit more functionality or some other code tweaks. After a few months, you may be in any of the following situations:

  • You may end up with one or two functions of enormous size with no obvious or clear path towards something that would be more...
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