mindspore.numpy.select

mindspore.numpy.select(condlist, choicelist, default=0)[source]

Returns an array drawn from elements in choicelist, depending on conditions.

Parameters

condlist (Union[int, float, bool, list, tuple, Tensor]) – The list of conditions which determine from which array in choicelist the output elements are taken. When multiple conditions are satisfied, the first one encountered in condlist is used.
choicelist (Union[int, float, bool, list, tuple, Tensor]) – The list of arrays from which the output elements are taken. It has to be of the same length as condlist.
default (scalar, optional) – The element inserted in output when all conditions evaluate to False. Default: 0 .

Returns

Tensor, the output at position m is the m-th element of the array in choicelist where the m-th element of the corresponding array in condlist is True.

Raises

ValueError – If len(condlist) != len(choicelist).

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> condlist = [[True, True, True, False, False], [False, False, True, False, True]]
>>> choicelist = [[0, 1, 2, 3, 4], [0, 1, 4, 9, 16]]
>>> output = np.select(condlist, choicelist)
>>> print(output)
[ 0  1  2  0 16]