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:

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.

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.

>>> 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]])

Links:

doc_NumPy

2017-01-10 18:18:09

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