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

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

Compute the truth value of NOT x element-wise.

Parameters:	x : array_like Logical NOT is applied to the elements of x. 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:	y : bool or ndarray of bool Boolean result with the same shape as x of the NOT operation on elements of x.

Parameters:

x : array_like Logical NOT is applied to the elements of x. 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:

y : bool or ndarray of bool Boolean result with the same shape as x of the NOT operation on elements of x.

Examples

np.logical_not(3) False np.logical_not([True, False, 0, 1]) array([False, True, True, False], dtype=bool)

x = np.arange(5) np.logical_not(x<3) array([False, False, False, True, True], dtype=bool)