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Python Data Visualization Cookbook (Second Edition)
book

Python Data Visualization Cookbook (Second Edition)

by Igor Milovanovic, Dimitry Foures, Giuseppe Vettigli
November 2015
Beginner to intermediate
302 pages
6h 17m
English
Packt Publishing
Content preview from Python Data Visualization Cookbook (Second Edition)

Drawing polar plots

If the data is already represented using polar coordinates, we can also display it using polar figures. Even if the data is not in polar coordinates, we should consider converting it to polar form and draw on polar plots.

To decide whether we want to do this, we need to understand what the data represents and what we are hoping to display to the end user. Imagining what the user will read and decode from our figures usually leads us to the best visualizations.

Polar plots are commonly used to display information that is radial in nature. For example, in sun path diagrams—we see the sky in radial projection and the radiation maps of antennas radiate differently at different angles. You can learn more about this at http://www.astronwireless.com/topic-archives-antenna-radiation-patterns.asp ...

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Publisher Resources

ISBN: 9781784396695