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NumPy Cookbook

You're reading from   NumPy Cookbook If you're a Python developer with basic NumPy skills, the 70+ recipes in this brilliant cookbook will boost your skills in no time. Learn to raise productivity levels and code faster and cleaner with the open source mathematical library.

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Product type Paperback
Published in Oct 2012
Publisher Packt
ISBN-13 9781849518925
Length 226 pages
Edition 1st Edition
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Toc

Table of Contents (17) Chapters Close

NumPy Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Winding Along with IPython 2. Advanced Indexing and Array Concepts FREE CHAPTER 3. Get to Grips with Commonly Used Functions 4. Connecting NumPy with the Rest of the World 5. Audio and Image Processing 6. Special Arrays and Universal Functions 7. Profiling and Debugging 8. Quality Assurance 9. Speed Up Code with Cython 10. Fun with Scikits Index

Using the array interface


The array interface is a yet another mechanism to communicate with other Python applications. This protocol, as its name suggests, is only applicable to array-like objects. A demonstration is in order. Let's use PIL again, but without saving files.

Getting ready

We will be reusing part of the code from the previous recipe, so the prerequisites are similar. We will skip the first step of the previous step here, and assume it is already known.

How to do it...

The following steps will let us explore the array interface:

  1. The PIL image array interface attribute.

    The PIL image object has a __array_interface__ attribute. Let's inspect its contents. The value of this attribute is a dictionary:

    array_interface = img.__array_interface__
    print "Keys", array_interface.keys() 
    print "Shape", array_interface['shape'] 
    print "Typestr", array_interface['typestr']

    This code prints the following information:

    Keys ['shape', 'data', 'typestr']
    Shape (512, 512, 4)
    Typestr |u1
    
  2. The NumPy array...

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