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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 database


Very often, our work on data analysis and visualization is at the consumer end of the data pipeline. We most often use the already produced data, rather than producing the data ourselves. A modern application, for example, holds different datasets inside relational databases (or other databases), and we use these databases and produce beautiful graphs.

This recipe will show you how to use SQL drivers from Python to access data.

We will demonstrate this recipe using a SQLite database because it requires the least effort to setup, but the interface is similar to most other SQL-based database engines (MySQL and PostgreSQL). There are, however, differences in the SQL dialect that those database engines support. This example uses simple SQL language and should be reproducible on most common SQL database engines.

Getting ready

To be able to execute this recipe, we need to install the SQLite library.

$ sudo apt-get install sqlite3

Python support for SQLite is there by...

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