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Python Data Visualization Cookbook (Second Edition)

You're reading from   Python Data Visualization Cookbook (Second Edition) Visualize data using Python's most popular libraries

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781784396695
Length 302 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

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 the Right Plots to Understand Data 8. More on matplotlib Gems 9. Visualizations on the Clouds with Plot.ly 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 with using matplotlib are. 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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