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Python Data Visualization Cookbook

You're reading from   Python Data Visualization Cookbook As a developer with knowledge of Python you are already in a great position to start using data visualization. This superb cookbook shows you how in plain language and practical recipes, culminating with 3D animations.

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Product type Paperback
Published in Nov 2013
Publisher Packt
ISBN-13 9781782163367
Length 280 pages
Edition 1st Edition
Languages
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Author (1):
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Igor Milovanovic Igor Milovanovic
Author Profile Icon Igor Milovanovic
Igor Milovanovic
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Table of Contents (15) Chapters Close

Python Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Preparing Your Working Environment FREE CHAPTER 2. Knowing Your Data 3. Drawing Your First Plots and Customizing Them 4. More Plots and Customizations 5. Making 3D Visualizations 6. Plotting Charts with Images and Maps 7. Using Right Plots to Understand Data 8. More on matplotlib Gems Index

Plotting with images


Images can be used to highlight the strengths of your visualization in addition to pure data values. Many examples have proven that by using symbolic images, we map deeper into the viewer's mental model, thereby helping the viewer to remember the visualizations better and for a longer time. One way to do so is to place images where your data is, to map the values to what they represent. The matplotlib library is capable of delivering this functionality, thus we will demonstrate how to do it.

Getting ready

Use the fictional example from the story The Gospel of the Flying Spaghetti Monster, by Bobby Henderson where the author correlates number of pirates with sea-surface temperature. To highlight this correlation, we will display the size of the pirate ship proportional to the value representing the number of pirates in the year the sea-surface temperature is measured.

We will use Python matplotlib library's ability to annotate using images and text with advanced location...

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