numpy.not_equal()

numpy.not_equal(x1, x2[, out]) =

Return (x1 != x2) element-wise.

Parameters:

Parameters:	x1, x2 : array_like Input arrays. out : ndarray, optional A placeholder the same shape as `x1` to store the result. See `doc.ufuncs` (Section ?Output arguments?) for more details.
Returns:	not_equal : ndarray bool, scalar bool For each element in `x1, x2`, return True if `x1` is not equal to `x2` and False otherwise.

x1, x2 : array_like

Input arrays.

out : ndarray, optional

A placeholder the same shape as x1 to store the result. See doc.ufuncs (Section ?Output arguments?) for more details.

Returns:

not_equal : ndarray bool, scalar bool

For each element in x1, x2, return True if x1 is not equal to x2 and False otherwise.

Examples

>>> np.not_equal([1.,2.], [1., 3.])
array([False,  True], dtype=bool)
>>> np.not_equal([1, 2], [[1, 3],[1, 4]])
array([[False,  True],
       [False,  True]], dtype=bool)

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.not_equal.html

doc_NumPy

2017-01-10 18:16:21

Comments