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Matplotlib for Python Developers. - Second Edition

You're reading from  Matplotlib for Python Developers. - Second Edition

Product type Book
Published in Apr 2018
Publisher Packt
ISBN-13 9781788625173
Pages 300 pages
Edition 2nd Edition
Languages
Authors (3):
Aldrin Yim Aldrin Yim
Profile icon Aldrin Yim
Claire Chung Claire Chung
Profile icon Claire Chung
Allen Yu Allen Yu
Profile icon Allen Yu
View More author details

Table of Contents (16) Chapters

Title Page
Dedication
Packt Upsell
Contributors
Preface
1. Introduction to Matplotlib 2. Getting Started with Matplotlib 3. Decorating Graphs with Plot Styles and Types 4. Advanced Matplotlib 5. Embedding Matplotlib in GTK+3 6. Embedding Matplotlib in Qt 5 7. Embedding Matplotlib in wxWidgets Using wxPython 8. Integrating Matplotlib with Web Applications 9. Matplotlib in the Real World 10. Integrating Data Visualization into the Workflow Index

Saving plots to a file


To save a figure, we put plt.savefig(outputpath) at the end of plotting commands. It can be used in place of plt.show(), to directly save the figure without displaying it.

If you want to save the figure as a file as well as display it on the notebook output, you can call both plt.savefig() and plt.show().

Note

Reversing the order can result in the plot elements being cleaned up, leaving a blank canvas for the saved figure file.

Setting the output format

plt.savefig() automatically detects the file extension of the specified output path, and generates the corresponding file format if it is supported. If no file extension is specified in the input, a PNG format file would be obtained as output with the default backend. This supports a number of image formats, including PNG, JPG, PDF, and PostScript:

import numpy as np
import matplotlib.pyplot as plt
y = np.linspace(1,2000)
x = 1.0/np.sin(y)
plt.plot(x,y,'green')
plt.xlim(-20,20)
plt.ylim(1000,2400)
plt.show()
plt.savefig(...
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