flopscope.

flopscope.numpy.random.shuffle

fnp.random.shuffle(x)[flopscope source]

Modify a sequence in-place by shuffling its contents.

Adapted from NumPy docs np.random.shuffle

Arearandom
Typecustom
NumPy Refnp.random.shuffle
Cost
per-operation
Flopscope Context

Shuffle; cost = n*ceil(log2(n)).

This function only shuffles the array along the first axis of a multi-dimensional array. The order of sub-arrays is changed but their contents remains the same.

Note.

New code should use the shuffle method of a Generator instance instead; please see the random-quick-start.

Parameters

x:ndarray or MutableSequence

The array, list or mutable sequence to be shuffled.

Returns

:None

See also

Examples

>>> arr = flops.arange(10)
>>> flops.random.shuffle(arr)
>>> arr
[1 7 5 2 9 4 3 6 0 8] # random

Multi-dimensional arrays are only shuffled along the first axis:

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