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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


Plot.ly is an online data visualization tool. It makes it possible for us to create and share interactive charts. Plot.ly can be used in two ways: you can either login into the website, upload your data, and use the web interface to create a chart, or use their API. In this chapter, we will focus on how to use their API.

The difference with matplotlib is that our charts are now created online and not on our machine. This means that we will be able to access them from the Plot.ly website. With a free account, all the charts that you make are made public and anyone can access them.

To try the recipes that will be presented in this chapter, you need a Plot.ly account and an API key. You can create a Plot.ly account by going on https://plot.ly/ and clicking on Sign in. After the account is created, you can go in the Settings section and generate an API key.

After this, the API binding for Python can be installed using pip, as we saw in the first chapter:

$ pip install plotly

Now we...

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