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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_distance_to(self, origin=None, other_atoms=None, sort=False):
 """Return a Cartesian with a column for the distance from origin. """

        if origin is None:
            origin = np.zeros(3)
        elif pd.api.types.is_list_like(origin):
            origin = np.array(origin, dtype='f8')
        else:
            origin = self.loc[origin, ['x', 'y', 'z']]

        if other_atoms is None:
            other_atoms = self.index

        new = self.loc[other_atoms, :].copy()
        norm = np.linalg.norm
        try:
            new['distance'] = norm((new - origin).loc[:, ['x', 'y', 'z']],
                                   axis=1)
        except AttributeError:
            # Happens if molecule consists of only one atom
            new['distance'] = norm((new - origin).loc[:, ['x', 'y', 'z']])
        if sort:
            new.sort_values(by='distance', inplace=True)
        return new