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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

Integrating a plot to a GTK user interface


GTK is a user interface library that is especially popular on Linux environments. GTK is very complete, and its PyGObject binding for Python is especially convenient to use. In this recipe, we demonstrate how to interface GTK with matplotlib. We use the SuperShape application for this demonstration.

Getting ready

This recipe demonstrates how to use the latest Python binding for GTK, PyGObject. Thus, you will need to install PyGObject (most Linux distributions have a standard package for it) and obviously, GTK, if you don't have them already.

How to do it...

By now, if you have gone through the previous recipes on Tkinter and WxWidget, you will see a pattern in the way matplotlib integrates with the user interface. The pattern is the same here: Matplolib provides a canvas object specific to GTK, which embeds a Figure instance. Integrating a plot to the GTK user interface can be done with the following steps:

  1. We start with the necessary import directives...

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