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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

Setting the aspect ratio


When preparing figures for a journal publication or a website, one might need a figure that has one specific aspect ratio. In this recipe, we are going to see how to control the aspect ratio of a figure.

How to do it...

The pyplot API provides a simple way to set up a custom aspect ratio, as follows:

import numpy as np
import matplotlib.pyplot as plt

X = np.linspace(-6, 6, 1024)
Y1, Y2 = np.sinc(X), np.cos(X)

plt.figure(figsize=(10.24, 2.56))
plt.plot(X, Y1, c='k', lw = 3.)
plt.plot(X, Y2, c='.75', lw = 3.)

plt.show()

The aspect ratio of the following figure is much different from what we would get by default:

How it works...

We use the pyplot.figure() function, which creates a new Figure instance. A Figure object represents a figure as a whole. Usually, this object is created implicitly, behind the scenes. However, by creating the object explicitly, we can control various aspects of a figure, including its aspect ratio. The figsize parameter allows us to specify its...

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