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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

Introduction


Although we have already drawn our first plots using matplotlib, we didn't go into the details about how they work, how to set them up, or what the possibilities are with using matplotlib. We explore and exercise most common types of data visualizations: line graphs, bar charts, histograms, pies, and variations thereof.

matplotlib is a powerful toolbox that satisfies almost all our needs for 2D and some 3D plotting needs as well. The best way the authors intend for you to learn matplotlib is through examples. When we need to draw a plot, we look for a similar example and try to change it to fit our needs. In this way, we are also going to present you with some useful examples and believe that this example will help you find a plot most similar to what you need.

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