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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

First plots with Matplotlib


One of the strong points of Matplotlib is how quickly we can start producing plots out of the box. Here is our first example:

$ ipython
In [1]: import matplotlib.pyplot as plt
In [2]: plt.plot([1, 3, 2, 4])
Out[2]: [<matplotlib.lines.Line2D object at 0x2544f10>]
In [3]: plt.show()

This code snippet gives the output shown in the following screenshot:

As you can see, we are using IPython. This will be the case throughout the book, so we'll skip the command execution line (and the heading) as you can easily recognize IPython output.

Let's look at each line of the previous code in detail:

In [1]: import matplotlib.pyplot as plt

This is the preferred format to import the main Matplotlib submodule for plotting, pyplot. It's the best practice and in order to avoid pollution of the global namespace, it's strongly encouraged to never import like:

from <module> import *

The same import style is used in the official documentation, so we want to be consistent with...

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