pypet/trajectory.py
def f_load_skeleton(self):
        """Loads the full skeleton from the storage service.

        This needs to be done after a successful exploration in order to update the
        trajectory tree with all results and derived parameters from the individual single runs.
        This will only add empty results and derived parameters (i.e. the skeleton)
        and load annotations.

        """
        self.f_load(self.v_name, as_new=False, load_parameters=pypetconstants.LOAD_SKELETON,
                    load_derived_parameters=pypetconstants.LOAD_SKELETON,
                    load_results=pypetconstants.LOAD_SKELETON,
                    load_other_data=pypetconstants.LOAD_SKELETON,
                    with_run_information=False)
def f_load_skeleton(self):
        self.f_load(self.v_name, as_new=False, load_parameters=pypetconstants.LOAD_SKELETON,
                    load_derived_parameters=pypetconstants.LOAD_SKELETON,
                    load_results=pypetconstants.LOAD_SKELETON,
                    load_other_data=pypetconstants.LOAD_SKELETON,
                    with_run_information=False)
def f_load_skeleton ( self ) : self . f_load ( self . v_name , as_new = False , load_parameters = pypetconstants . LOAD_SKELETON , load_derived_parameters = pypetconstants . LOAD_SKELETON , load_results = pypetconstants . LOAD_SKELETON , load_other_data = pypetconstants . LOAD_SKELETON , with_run_information = False )
Loads the full skeleton from the storage service.

        This needs to be done after a successful exploration in order to update the
        trajectory tree with all results and derived parameters from the individual single runs.
        This will only add empty results and derived parameters (i.e. the skeleton)
        and load annotations.
Loads the full skeleton from the storage service .