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matplotlib Plotting Cookbook

You're reading from   matplotlib Plotting Cookbook Discover how easy it can be to create great scientific visualizations with Python. This cookbook includes over sixty matplotlib recipes together with clarifying explanations to ensure you can produce plots of high quality.

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Product type Paperback
Published in Mar 2014
Publisher Packt
ISBN-13 9781849513265
Length 222 pages
Edition Edition
Languages
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Author (1):
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Alexandre Devert Alexandre Devert
Author Profile Icon Alexandre Devert
Alexandre Devert
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Table of Contents (15) Chapters Close

matplotlib Plotting Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. First Steps FREE CHAPTER 2. Customizing the Color and Styles 3. Working with Annotations 4. Working with Figures 5. Working with a File Output 6. Working with Maps 7. Working with 3D Figures 8. User Interface Index

Introduction


Like other kinds of technical figures, scientific figures are rarely standalone documents—they are meant to be part of a document. matplotlib can render any figure to various common file formats such as PNG, EPS, SVG, and PDF. By default, a figure is shown with a minimalistic user interface, which allows you to save a figure to a file. However, this approach is not convenient if you have to generate a large batch of figures. Also, you might want to be able to generate a new figure every time some data is updated. In this chapter, we explore the file output capabilities of matplotlib. Apart from programmatically generating the file output, we are going to learn how to control important factors such as the resolution and size of the output, and dealing with transparency.

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