numpy.random.shuffle — NumPy v1.13 Manual (original) (raw)

numpy.random. shuffle(x)

Modify a sequence in-place by shuffling its contents.

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.

Parameters: x : array_like The array or list to be shuffled.
Returns: None

Examples

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

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

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