'Return the normalized version of ``self``.
See Also
norm'

def normalized(self):

    if ((self.rows != 1) and (self.cols != 1)):
        raise ShapeError('A    Matrix    must    be    a    vector    to    normalize.')
    norm = self.norm()
    out = self.applyfunc((lambda i: (i / norm)))
    return out
