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You're reading from  Python Data Visualization Cookbook

Product typeBook
Published inNov 2013
Reading LevelIntermediate
PublisherPackt
ISBN-139781782163367
Edition1st Edition
Languages
Python
Tools
Matplotlib
Concepts
Data Visualization
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Author (1)
Igor Milovanovic
Igor Milovanovic
author image
Igor Milovanovic

Igor Milovanović is an experienced developer, with strong background in Linux system knowledge and software engineering education. He is skilled in building scalable data-driven distributed software rich systems. An evangelist for high-quality systems design, he has a strong interest in software architecture and development methodologies. Igor is always committed to advocating methodologies that promote high-quality software, such as test-driven development, one-step builds, and continuous integration. He also possesses solid knowledge of product development. With field experience and official training, he is capable of transferring knowledge and communication flow from business to developers and vice versa. Igor is most grateful to his girlfriend for letting him spend hours on work instead with her and being an avid listener to his endless book monologues. He thanks his brother for being the strongest supporter. He is also thankful to his parents for letting him develop in various ways to become a person he is today.
Read more about Igor Milovanovic

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Plotting data on a map using Google Map API

In this recipe, we will diverge from the desktop environment and show how we can output for the Web. Although, the main language for the web frontend is not Python but HTML, CSS, and JavaScript, we can still use Python for heavy lifting: fetch data, process it, perform intensive computations, and render data in a format(s) suitable for web output, that is, create HTML pages with the required JavaScript version to render our visualization(s).

Getting ready

We will use Google Data Visualization Library for Python to help us prepare data for the frontend interface, where we will use another Google Visualization API to render data in the desired visualization, that is, a map and a table.

Before we start, we need to install the google-visualization-python module. Download the latest stable version from https://code.google.com/p/google-visualization-python/downloads/detail?name=gviz_api_py-1.8.2.tar.gz&can=2&q=, unpack the archive and install...

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Python Data Visualization Cookbook
Published in: Nov 2013Publisher: PacktISBN-13: 9781782163367
© 2013 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Igor Milovanovic

Igor Milovanović is an experienced developer, with strong background in Linux system knowledge and software engineering education. He is skilled in building scalable data-driven distributed software rich systems. An evangelist for high-quality systems design, he has a strong interest in software architecture and development methodologies. Igor is always committed to advocating methodologies that promote high-quality software, such as test-driven development, one-step builds, and continuous integration. He also possesses solid knowledge of product development. With field experience and official training, he is capable of transferring knowledge and communication flow from business to developers and vice versa. Igor is most grateful to his girlfriend for letting him spend hours on work instead with her and being an avid listener to his endless book monologues. He thanks his brother for being the strongest supporter. He is also thankful to his parents for letting him develop in various ways to become a person he is today.
Read more about Igor Milovanovic

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