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Matplotlib for Python Developers

You're reading from   Matplotlib for Python Developers Python developers who want to learn Matplotlib need look no further. This book covers it all with a practical approach including lots of code and images. Take this chance to learn 2D plotting through real-world examples.

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Product type Paperback
Published in Nov 2009
Publisher Packt
ISBN-13 9781847197900
Length 308 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (14) Chapters Close

Matplotlib for Python Developers
Credits
About the Author
About the Reviewers
1. Preface
1. Introduction to Matplotlib FREE CHAPTER 2. Getting Started with Matplotlib 3. Decorate Graphs with Plot Styles and Types 4. Advanced Matplotlib 5. Embedding Matplotlib in GTK+ 6. Embedding Matplotlib in Qt 4 7. Embedding Matplotlib in wxWidgets 8. Matplotlib for the Web 9. Matplotlib in the Real World

Saving plots to a file


Saving a plot to a file is an easy task. The following example shows how:

In [1]: import matplotlib.pyplot as plt
In [2]: plt.plot([1, 2, 3])
Out[2]: [<matplotlib.lines.Line2D object at 0x22a2f10>]
In [3]: plt.savefig('plot123.png')

Just a call to savefig() with the filename as the parameter, and we can find the saved plot in the current directory.

$ file plot123.png
plot123.png: PNG image, 800 x 600, 8-bit/color RGBA, non-interlaced

The file format is based on the filename extension (so in the previous example, we saved a PNG image).

Two values govern the resulting image size in pixels—the figure size and the DPI.

Here, we can see the default values for Matplotlib:

In [1]: import matplotlib as mpl
In [2]: mpl.rcParams['figure.figsize']
Out[2]: [8.0, 6.0]
In [3]: mpl.rcParams['savefig.dpi']
Out[3]: 100

So, an 8x6 inches figure with 100 DPI results in an 800x600 pixels image (as seen in the previous example).

When an image is displayed on the screen, the length units...

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