def greater_than_obs_constraints(self):
        """get the names of the observations that
        are listed as greater than inequality constraints.  Zero-
        weighted obs are skipped

        Returns
        -------
        pandas.Series : obsnme of obseravtions that are non-zero weighted
                        greater than constraints

        """



        obs = self.observation_data
        gt_obs = obs.loc[obs.apply(lambda x: self._is_greater_const(x.obgnme) \
                                             and x.weight != 0.0,axis=1),"obsnme"]
        return gt_obs
def greater_than_obs_constraints ( self ) : obs = self . observation_data gt_obs = obs . loc [ obs . apply ( lambda x : self . _is_greater_const ( x . obgnme ) and x . weight != 0.0 , axis = 1 ) , "obsnme" ] return gt_obs
get the names of the observations that
        are listed as greater than inequality constraints.  Zero-
        weighted obs are skipped

        Returns
        -------
        pandas.Series : obsnme of obseravtions that are non-zero weighted
                        greater than constraints