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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

Importing data from a JSON resource


This recipe will show us how we can read the JSON data format. Moreover, we will be using a remote resource in this recipe. It will add a tiny level of complexity to the recipe, but it will make it much more useful because, in real life, we will encounter more remote resources than local.

JavaScript Object Notation (JSON) is widely used as a platform-independent format to exchange data between systems or applications.

A resource, in this context, is anything we can read, be it a file or a URL endpoint (which can be the output of a remote process/program or just a remote static file). In short, we don't care who produced a resource and how; we just need it to be in a known format, such as JSON.

Getting ready

In order to get started with this recipe, we need the requests module installed and importable (in PYTHONPATH) in our virtual environment. We have installed this module in Chapter 1, Preparing Your Working Environment.

We also need Internet connectivity...

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