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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

Inserting subfigures


Inserting a small, embedded figure can be helpful in showing a detail of a figure, or more generally, to emphasize a particular part of a graphic. In this recipe, we are going to see how to insert a subfigure into a figure.

How to do it...

matplotlib allows us to create subregions in any part of a figure, and assign a figure to that subregion. In the following example, a subregion is created to show a detail of the curve:

import numpy as np
from matplotlib import pyplot as plt

X = np.linspace(-6, 6, 1024)
Y = np.sinc(X)

X_detail = np.linspace(-3, 3, 1024)
Y_detail = np.sinc(X_detail)

plt.plot(X, Y, c = 'k')

sub_axes = plt.axes([.6, .6, .25, .25])
sub_axes.plot(X_detail, Y_detail, c = 'k')
plt.setp(sub_axes)

plt.show()

The subregion is shown on the upper-right part of the figure.

How it works...

We start by creating a subregion on the figure as follows:

sub_axes = plt.axes([.6, .6, .25, .25])

The region is in figure-wise coordinates; that is, (0, 0) is the bottom-left corner...

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