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Numpy Beginner's Guide (Update)

You're reading from   Numpy Beginner's Guide (Update) Build efficient, high-speed programs using the high-performance NumPy mathematical library

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781785281969
Length 348 pages
Edition 1st Edition
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (16) Chapters Close

Preface 1. NumPy Quick Start 2. Beginning with NumPy Fundamentals FREE CHAPTER 3. Getting Familiar with Commonly Used Functions 4. Convenience Functions for Your Convenience 5. Working with Matrices and ufuncs 6. Moving Further with NumPy Modules 7. Peeking into Special Routines 8. Assuring Quality with Testing 9. Plotting with matplotlib 10. When NumPy Is Not Enough – SciPy and Beyond 11. Playing with Pygame A. Pop Quiz Answers B. Additional Online Resources C. NumPy Functions' References
Index

Time for action – reading and writing files

As an example of file I/O, we will create an identity matrix and store its contents in a file.

Note

In this and other chapters, we will use the following line by convention to import NumPy:

import numpy as np

Perform the following steps to do so:

  1. The identity matrix is a square matrix with ones on the main diagonal and zeros for the rest (see https://www.khanacademy.org/math/precalculus/precalc-matrices/zero-identity-matrix-tutorial/v/identity-matrix).

    The identity matrix can be created with the eye() function. The only argument that we need to give the eye() function is the number of ones. So, for instance, for a two-by-two matrix, write the following code:

    i2 = np.eye(2)
    print(i2)

    The output is:

    [[ 1.  0.]
    [ 0.  1.]]
  2. Save the data in a plain text file with the savetxt() function. Specify the name of the file that we want to save the data in and the array containing the data itself:
    np.savetxt("eye.txt", i2)

A file called eye.txt should...

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