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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

IPython support


We have already used IPython throughout the chapter, and we saw how useful it is. Therefore, we want to give it a better introduction.

Matplotlib tends to defer drawing till the end, since it's an expensive operation, and updating the plot at every property change would slow down the execution.

That's fine for batch operations, but when we're working with the Python shell, we want to see updates at every command we type. Easy to say, but difficult to implement.

Most GUI libraries need to control the main loop of execution of Python, thus preventing any further interaction (that is, you can't type while viewing the image). The only GUI that plays nice with Python's standard shell is Tkinter.

Note

Tkinter is the standard Python interface to the Tk GUI library.

So you might want to set the backend property to TkAgg and interactive to True when using the Python interpreter interactively.

IPython uses a smart method to handle this situation—it spawns a thread to execute GUI library...

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