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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 wxWidgets user interface


Using Tkinter, we can combine the plotting abilities of matplotlib and a fully featured GUI library. This solution has the advantage of relying on standard Python only. However, a classical argument against Tkinter is how it looks: the user interface has a look and feel of its own, not the look and feel of the platform it runs on.

The wxWidgets user interface is another GUI module for Python, binding the wx library. The wx library exposes a common API to create graphical interfaces on Windows, OS X, and Linux. The graphical interfaces created with wx will have the look and feel of the platform they run on. In this recipe, we will look at how we can interface wxWidgets with matplotlib.

How to do it...

The general idea is very similar to what has been done with the matplotlib/Tkinter integration. matplotlib provides a special wxWidget widget that embeds a Figure object. Creating and updating that Figure object works the same way as before, as shown...

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