# numpy.random.Generator.shuffle

method

random.Generator.shuffle(x, axis=0)

  Modify an array or sequence in-place by shuffling its contents.

  The order of sub-arrays is changed but their contents remains the same.

  Parameters:
    x ndarray or MutableSequence

      The array, list or mutable sequence to be shuffled.

    axis int, optional

      The axis which x is shuffled along. Default is 0. It is only supported on `ndarray` objects.

  Returns:
    None

  See also

  `permuted`
  `permutation`

  Notes

  An important distinction between methods `shuffle` and `permuted` is how they both treat the `axis` parameter which can be found at Handling the axis parameter.

  Examples

      >>> rng = np.random.default_rng()
      >>> arr = np.arange(10)
      >>> arr
      array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
      >>> rng.shuffle(arr)
      >>> arr
      array([2, 0, 7, 5, 1, 4, 8, 9, 3, 6]) # random

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

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