numpy.not_equal — NumPy v1.13 Manual (original) (raw)

numpy. not_equal(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, _subok=True_[, signature, _extobj_]) = <ufunc 'not_equal'>¶

Return (x1 != x2) element-wise.

Parameters:	x1, x2 : array_like Input arrays. out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see theufunc docs.
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.

Parameters:

x1, x2 : array_like Input arrays. out : ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs. where : array_like, optional Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see theufunc docs.

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)