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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

Adding a legend


A proper figure is not complete without its own legend. matplotlib provides a way to generate a legend with the minimal amount of effort. In this recipe, we will see how to add a legend to a graph.

How to do it...

For this recipe, we use the pyplot.legend() function as well as the label optional parameter:

import numpy as np
import matplotlib.pyplot as plt

X = np.linspace(0, 6, 1024)
Y1 = np.sin(X)
Y2 = np.cos(X)

plt.xlabel('X')
plt.ylabel('Y')

plt.plot(X, Y1, c = 'k',  lw = 3.,              label = 'sin(X)')
plt.plot(X, Y2, c = '.5', lw = 3., ls = '--', label = 'cos(X)')

plt.legend()
plt.show()

The preceding code gives the following output:

How it works...

Each pyplot function has an optional label parameter to name an element, such as curve, histogram, and so on, of a figure. matplotlib keeps a track of these labels. The pyplot.legend() function will render a legend. The legend is automatically generated from the labels.

There's more...

The pyplot.legend function has a couple...

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