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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

Understanding the difference between pyplot and OO API


This recipe will try to explain some of the programming interfaces in matplotlib and make a comparison of pyplot and object-oriented API (Application Programming Interface). Depending on the task at hand, this will allow us to decide why and when to use either of those interfaces.

Getting ready

When the matplotlib library started, it was similar to many open source projects—there was no proper (free) solution to the problem a person had, so he wrote one. The problem encountered with MATLAB® was with performance for the task in hand (http://www.aosabook.org/en/matplotlib.html), and the original author already had knowledge of both MATLAB® and Python, so he started writing matplotlib as a solution for his need for the current project.

This is the main reason matplotlib has a MATLAB®-like interface that allows one to quickly plot data without worrying about background details, which platform matplotlib is running on, which are the underlying...

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