logical_not(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])
Logical NOT is applied to the elements of x
.
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.
This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out`
array will be set to the ufunc result. Elsewhere, the :None:None:`out`
array will retain its original value. Note that if an uninitialized :None:None:`out`
array is created via the default out=None
, locations within it where the condition is False will remain uninitialized.
For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs>
.
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.
Compute the truth value of NOT x element-wise.
>>> np.logical_not(3) FalseThis example is valid syntax, but we were not able to check execution
>>> np.logical_not([True, False, 0, 1]) array([False, True, True, False])This example is valid syntax, but we were not able to check execution
>>> x = np.arange(5)See :
... np.logical_not(x<3) array([False, False, False, True, True])
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.ma.core.logical_xor
numpy.ma.core.logical_or
numpy.ma.core.logical_and
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