code: def copy(self, with_time=True, ignore_standard_types=False):
          
  
          override_components, override_component_attrs = self._retrieve_overridden_components()
  
          network = self.__class__(ignore_standard_types=ignore_standard_types,
                                   override_components=override_components,
                                   override_component_attrs=override_component_attrs)
  
          for component in self.iterate_components(["Bus", "Carrier"] + sorted(self.all_components - {"Bus","Carrier"})):
              df = component.df
              #drop the standard types to avoid them being read in twice
              if not ignore_standard_types and component.name in self.standard_type_components:
                  df = component.df.drop(network.components[component.name]["standard_types"].index)
  
              import_components_from_dataframe(network, df, component.name)
  
          if with_time:
              network.set_snapshots(self.snapshots)
              for component in self.iterate_components():
                  pnl = getattr(network, component.list_name+"_t")
                  for k in iterkeys(component.pnl):
                      pnl[k] = component.pnl[k].copy()
  
          #catch all remaining attributes of network
          for attr in ["name", "srid"]:
              setattr(network,attr,getattr(self,attr))
  
          network.snapshot_weightings = self.snapshot_weightings.copy()
  
          return network
docs: Returns a deep copy of the Network object with all components and
          time-dependent data.
  
          Returns
          --------
          network : pypsa.Network
  
          Parameters
          ----------
          with_time : boolean, default True
              Copy snapshots and time-varying network.component_names_t data too.
          ignore_standard_types : boolean, default False
              Ignore the PyPSA standard types.
  
          Examples
          --------
          >>> network_copy = network.copy()