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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

Summary

In this chapter, you got to learn a little more about matplotlib's origins and the latest features that were released at the time of writing this book. You've seen the software that we're going to use, including the version of the Python programming language that we've chosen. Furthermore, we've given you a peek into the future of this book (and matplotlib) with a custom IPython Notebook, which highlights the Seaborn and Pandas projects.

In the next couple of chapters, we're going to focus on matplotlib's internals. In particular, Chapter 2, The matplotlib Architecture will cover the architecture of the project, giving you an insight into how it all works together.

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