#### Previous topic

numpy.random.shuffle

#### Next topic

numpy.random.beta

# numpy.random.permutation

`numpy.random.``permutation`(x)

  Randomly permute a sequence, or return a permuted range.

  If x is a multi-dimensional array, it is only shuffled along its first index.

  Parameters : | x : int or array_like If x is an integer, randomly permute `np.arange(x)`. If x is an array, make a copy and shuffle the elements randomly.
  Returns : | out : ndarray Permuted sequence or array range.

  Examples

      >>> np.random.permutation(10)
      array([1, 7, 4, 3, 0, 9, 2, 5, 8, 6])

      >>> np.random.permutation([1, 4, 9, 12, 15])
      array([15,  1,  9,  4, 12])

      >>> arr = np.arange(9).reshape((3, 3))
      >>> np.random.permutation(arr)
      array([[6, 7, 8],
             [0, 1, 2],
             [3, 4, 5]])