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 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 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 the ufunc docs. |
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Returns: |
y : bool or ndarray of bool Boolean result with the same shape as |
See also
>>> 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])
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https://docs.scipy.org/doc/numpy-1.14.2/reference/generated/numpy.logical_not.html