Book Image

NumPy: Beginner's Guide

By : Ivan Idris
Book Image

NumPy: Beginner's Guide

By: Ivan Idris

Overview of this book

Table of Contents (21 chapters)
NumPy Beginner's Guide Third Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
NumPy Functions' References
Index

Time for action – dividing arrays


Let's see the array division in action:

  1. The divide() function does truncated integer division and normal floating-point division:

    a = np.array([2, 6, 5])
    b = np.array([1, 2, 3])
    print("Divide", np.divide(a, b), np.divide(b, a))

    The result of the divide() function is shown as follows:

    Divide [2 3 1] [0 0 0]
    

    As you can see, truncation took place.

  2. The true_divide() function comes closer to the mathematical definition of division. Integer division returns a floating-point result and no truncation occurs:

    print("True Divide", np.true_divide(a, b), np.true_divide(b, a))

    The result of the true_divide() function is as follows:

    True Divide [ 2.          3.          1.66666667] [ 0.5         0.33333333  0.6       ]
    
  3. The floor_divide() function always returns an integer result. It is equivalent to calling the floor() function after calling the divide() function. The floor() function discards the decimal part of a floating-point number and returns an integer:

    print("Floor Divide...