numpy.random.RandomState.permutation
-
RandomState.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: -
x : int or array_like
-
If
x
is an integer, randomly permutenp.arange(x)
. Ifx
is an array, make a copy and shuffle the elements randomly.
Returns: -
out : ndarray
-
Permuted sequence or array range.
Examples
>>> 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]])
-
© 2005–2019 NumPy Developers
Licensed under the 3-clause BSD License.
https://docs.scipy.org/doc/numpy-1.15.4/reference/generated/numpy.random.RandomState.permutation.html