NumPy Tutorial · NumPy Random

Random Permutation

Learn all about Random Permutation in this comprehensive tutorial.

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Random Permutations of Elements

A permutation refers to an arrangement of elements. e.g. [3, 2, 1] is a permutation of [1, 2, 3] and vice-versa.

The NumPy Random module provides two methods for this: shuffle() and permutation().

Shuffle means changing arrangement of elements in-place. i.e. in the array itself.

python

from numpy import randomimport numpy as nparr = np.array([1, 2, 3, 
  4, 5])random.shuffle(arr)print(arr)

Note: The shuffle() method makes changes to the original array.

python

from numpy import randomimport numpy as nparr = np.array([1, 2, 3, 
  4, 5])print(random.permutation(arr))

Note: The permutation() method returns a re-arranged array (and leaves the original array un-changed).

2 questions

Which of the following is true about Random Permutation?

It is strictly typedIt is evaluated at runtimeIt requires explicit memory managementIt is deprecated

What is the most common pitfall when working with Random Permutation?

SyntaxErrorIndentationErrorNameErrorTypeError

Answer all questions to submit.