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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

Controlling the output resolution


By default, when using the output to a bitmap picture, matplotlib chooses the size and the resolution of the output for us. Depending on what the bitmap picture will be used for, we might want to choose the resolution ourselves. For instance, if a picture is to be part of a large poster, we might prefer a high resolution, or, if we want to generate a thumbnail, then the resolution would be very low. In this recipe, we will learn how to control the output resolution.

How to do it...

The pyplot.savefig() function provides an optional parameter to control the output resolution, as shown in the following script:

import numpy as np
from matplotlib import pyplot as plt

X = np.linspace(-10, 10, 1024)
Y = np.sinc(X)

plt.plot(X, Y)
plt.savefig('sinc.png', dpi = 300)

The preceding script draws a curve and outputs the result to a file. Instead of the usual 800 x 600 pixels output, it will be 2400 x 1800 pixels.

How it works...

The pyplot.savefig() function has an optional...

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