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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

High-level plotting

In this book, when we mention high-level, we are referring not to some assessment of value or improvement over something, but rather to layers of abstraction, or more precisely, layers of interaction. When engaged in high-level plotting, we expect that users and developers will be creating visualizations of complex data with fewer commands or steps required than by using matplotlib's basic functionality directly. This is a result of complex tasks wrapping a greater number of smaller, simpler tasks.

Plotting itself is a high-level activity: raw data and often calculations on that data are combined, processed, some more in anticipation of user consumption, arranged or grouped in ways suitable for conveying the desired information, and then applied to some medium in ways that one hopes will render greater insight. By our definition, each activity upon that original raw data is, in some way, high-level.

Before we look at examples of modern high-level plotting, let us...

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