- nlcpy.logical_not = <ufunc 'nlcpy_logical_not'>
Computes the logical NOT of the input array element-wise.
Logical NOT is applied to the elements of x.
- outndarray or 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.
- wherearray_like, optional
This condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if an uninitialized 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 section Optional Keyword Arguments.
Boolean result with the same shape as x of the logical NOT operation on elements of x. If x is a scalar, this function returns the result as a 0-dimension ndarray.
>>> import nlcpy as vp >>> vp.logical_not(3) array(False) >>> vp.logical_not([True, False, 0, 1]) array([False, True, True, False]) >>> x = vp.arange(5) >>> vp.logical_not(x<3) array([False, False, False, True, True])