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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 in a Pyglet application


Pyglet is a very well written Python module to use OpenGL on any platform. Using Pyglet (and thus OpenGL) allows you to use the graphic hardware of your computer to its maximum. For instance, it would be fairly easy with Pyglet to show figures on three adjacent screens with fancy transition effects. In this recipe, we are going to see how to interface matplotlib with Pyglet. As in the previous example, we are going to display the SuperShape curve on the full screen and without any widgets.

How to do it...

Pyglet does not have the same functionality with widgets as Tkinter and wxWidgets have. This script will render a curve to an in-memory image. That image will then be simply shown on the whole screen surface. Thus, the figure will be shown on a full screen mode. Let's see how this is done using the following code:

import pyglet, StringIO
import numpy as np

from matplotlib.figure import Figure
from matplotlib.backends.backend_agg import FigureCanvasAgg...
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