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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

Plotting pie charts


To compare the relative importance of quantities, nothing like a good old pie—pie chart, that is.

How to do it...

The dedicated pie-plotting function pyplot.pie() will do the job. We will use this function in the following code:

import matplotlib.pyplot as plt

data = [5, 25, 50, 20]

  plt.pie(data)
plt.show()

The preceding simple script will display the following pie diagram:

How it works...

The pyplot.pie() function simply takes a list of values as the input. Note that the input data is a list; it could be a NumPy array. You do not have to adjust the data so that it adds up to 1 or 100. You just have to give values to matplolib and it will automatically compute the relative areas of the pie chart.

You have been reading a chapter from
matplotlib Plotting Cookbook
Published in: Mar 2014
Publisher: Packt
ISBN-13: 9781849513265
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