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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

Animating in matplotlib


In this recipe, we will explore how to animate our figures. Sometimes it is more descriptive to have pictures moving in animations to explain what is going on when we change values of variables. Our main library has limited but usually sufficient animation capabilities and we will explain how to use them.

Getting ready

A framework for animation is added to the standard matplotlib from version 1.1 and its main class is matplotlib.animation.Animation. This class is a base class; it is to be subclassed for specific behavior as is the case with the already provided classes: TimedAnimation, ArtistAnimation, and FuncAnimation. The following table gives the description of the classes:

Class name (parent class)

Description

Animation (object)

This class wraps the creation of an animation using matplotlib. It is only a base class that should be subclassed to provide the needed behavior.

TimedAnimation (Animation)

This animation subclass supports time-based animation...

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