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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

Exchanging data with MATLAB and Octave


MATLAB and its open source alternative Octave are popular mathematical applications. The scipy.io package has the savemat function, which allows you to store NumPy arrays in a .mat file as a value of a dictionary.

Getting ready

Installing MATLAB or Octave is outside of the scope of this book. The Octave website has some pointers for installing: http://www.gnu.org/software/octave/download.html. Check the See Also section of this recipe, for instructions on installing SciPy, if necessary.

How to do it...

Once you have installed MATLAB or Octave, you need to follow the subsequent steps to store NumPy arrays:

  1. Call savemat.

    Create a NumPy array, and call savemat to store the array in a .mat file. This function has two parameters—a file name and a dictionary containing variable names and values.

    a = numpy.arange(7)
    scipy.io.savemat("a.mat", {"array": a})
  2. Load the .mat file.

    Navigate to the directory where you created the file. Load the file, and check the array...

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