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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

Importing data from a JSON resource

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

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 they did it; we just need it to be in a known format like 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...

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