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.

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.


For other keyword-only arguments, see the ufunc docs.

y : bool or ndarray of bool

Boolean result with the same shape as x of the NOT operation on elements of x. This is a scalar if x is a scalar.


>>> np.logical_not(3)
>>> 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])

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