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Python Data Visualization Cookbook (Second Edition)

You're reading from  Python Data Visualization Cookbook (Second Edition)

Product type Book
Published in Nov 2015
Publisher
ISBN-13 9781784396695
Pages 302 pages
Edition 1st Edition
Languages

Table of Contents (16) Chapters

Python Data Visualization Cookbook Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
1. Preparing Your Working Environment 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 the Right Plots to Understand Data 8. More on matplotlib Gems 9. Visualizations on the Clouds with Plot.ly 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 happens if we change the values of variables. Our main library has limited but usually sufficient animation capabilities and we will explain how to use them.

Getting ready

The framework for animation is added to standard matplotlib from version 1.1 and its main class is matplotlib.animation.Animation. This class is the base class, which is to be subclassed for specific behavior, as is the case with the classes already provided: TimedAnimation, ArtistAnimation, and FuncAnimation.

Class name (parent class)

Description

Animation (object)

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

TimedAnimation (Animation)

The Animation subclass supports time-based animation, drawing a new frame every *interval* milliseconds.

ArtistAnimation...

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