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NumPy Cookbook

You're reading from  NumPy Cookbook

Product type Book
Published in Oct 2012
Publisher Packt
ISBN-13 9781849518925
Pages 226 pages
Edition 1st Edition
Languages

Table of Contents (17) Chapters

NumPy Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Winding Along with IPython 2. Advanced Indexing and Array Concepts 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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