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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
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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

Scaling both the axes equally


By default, matplotlib will use a different scale for both the axes of a figure. In this recipe, we are going to see how to use the same scale for the two axes of a figure.

How to do it...

To accomplish this, we will need to play with the pyplot API and the Axes object, as shown in the following code:

import numpy as np
import matplotlib.pyplot as plt
T = np.linspace(0, 2 * np.pi, 1024)

plt.plot(2. * np.cos(T), np.sin(T), c = 'k', lw = 3.)
plt.axes().set_aspect('equal')

plt.show()

The preceding script draws an ellipse with its real aspect ratio, as follows:

How it works...

In this example, we display an ellipse where the major axis is twice the length of the minor axis. Indeed, the rendered ellipse follows those proportions.

The pyplot.axes() function returns an instance of the Axes object, the object in charge of the axes. The Axes instance have a set_aspect method, which we set to 'equal'. Now, both axes use the same scale. If we did not set the same aspect, the...

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