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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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Toc

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

Drawing barbs


A barb is a representation of the speed and direction of wind, and is mainly deployed by meteorology scientists. In theory they can be used to visualize any type of two-dimensional vector quantities. They are similar to arrows (quivers), but the difference is that arrows represent vector magnitude by the length of the arrow, while barbs give more information about the vector's magnitude by employing lines or triangles as increments of magnitude.

We will explain what barbs are, how to read them, and how to visualize them using Python and matplotlib. Here's a typical set of barbs:

In the preceding diagram, the triangle, also known as flag, represents the largest increment. A full line or barb, represents a smaller increment; a half line is the smallest increment.

The increments are in the order of 5, 10, and 65 for a half-line, line, and triangle respectively. The values here represent, for meteorologists at least, wind speed in nautical miles per hour (knots).

We ordered the barbs...

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