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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 lines


When you have a very specific need in mind, the figures offered by matplotlib might not be of much help to you. All the graphics made by matplotlib consist of basic primitives. When demonstrating how to change the color of a boxplot, we mention that most matplotlib plotting functions return collections of lines and shapes. Now, we are going to demonstrate how to directly use a fundamental primitive: lines.

How to do it...

The following script will show a simple but aesthetic pattern made of independent lines:

import matplotlib.pyplot as plt

N = 16
for i in range(N):
  plt.gca().add_line(plt.Line2D((0, i), (N - i, 0), color = '.75'))

plt.grid(True)
plt.axis('scaled')
plt.show()

The preceding code gives the following output:

How it works...

In this script, we plot 16 independent lines. The pyplot.Line2D() function creates a new Line2D object. The mandatory parameters are the endpoints of the line. The optional parameters are all the parameters we have seen before for line-based figures...

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