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Showing content from https://numpy.org/doc/stable/reference/random/generated/numpy.random.Generator.shuffle.html below:

numpy.random.Generator.shuffle — NumPy v2.3 Manual

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:

xndarray or MutableSequence

The array, list or mutable sequence to be shuffled.

axisint, optional

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

Returns:

None

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]])

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