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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

The intermediate matplotlib user

If you've read the preface, then you know who this book is for—developers with intermediate or advanced knowledge of matplotlib as well as the motivated beginners. But who are they exactly? What do such users know?

Answers to such questions are fairly open-ended. We have the following guidelines. The intermediate matplotlib user should have some limited knowledge to passing experience with the following:

  • Installation of matplotlib in multiple environments
  • Creation of basic to moderately complicated matplotlib plots
  • Basic matplotlib APIs, styling, backends, and customizations
  • Using matplotlib objects, subplots, and overlays
  • Advanced third-party tools such as Seaborn, Pandas, ggplot, distributed IPython, and StarCluster
  • Completed reading most or all of the following books, Matplotlib for Python Developers, Sandro Tosi, Packt Publishing, and matplotlib Plotting Cookbook, Alexandre Devert, Packt Publishing
You have been reading a chapter from
Mastering Matplotlib
Published in: Jun 2015
Publisher:
ISBN-13: 9781783987542
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