numpy.logical_not¶

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 ofx. out:ndarray, None, or tuple of ndarray and None, optional A location into which the result is stored. If provided, it must havea shape that the inputs broadcast to. If not provided orNone,a freshly-allocated array is returned. A tuple (possible only as akeyword 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, valuesof 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 asx of the NOT operationon elements ofx.This is a scalar ifx is a scalar.

See also

logical_and,logical_or,logical_xor

Examples

>>>np.logical_not(3)False>>>np.logical_not([True,False,0,1])array([False,  True,  True, False])

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