docs: def import_static_data(self):
          """ Imports static data into NetworkDing0 such as equipment.
  
          Returns
          -------
          Dictionary with equipment data
          """
  
          package_path = ding0.__path__[0]
  
          static_data = {}
  
          equipment_mv_parameters_trafos = cfg_ding0.get('equipment',
                                                         'equipment_mv_parameters_trafos')
          static_data['MV_trafos'] = pd.read_csv(os.path.join(package_path, 'data',
                                     equipment_mv_parameters_trafos),
                                     comment='#',
                                     delimiter=',',
                                     decimal='.',
                                     converters={'S_nom': lambda x: int(x)})
  
          # import equipment
          equipment_mv_parameters_lines = cfg_ding0.get('equipment',
                                                        'equipment_mv_parameters_lines')
          static_data['MV_overhead_lines'] = pd.read_csv(os.path.join(package_path, 'data',
                                             equipment_mv_parameters_lines),
                                             comment='#',
                                             converters={'I_max_th': lambda x: int(x),
                                                         'U_n': lambda x: int(x),
                                                         'reinforce_only': lambda x: int(x)})
  
          equipment_mv_parameters_cables = cfg_ding0.get('equipment',
                                                         'equipment_mv_parameters_cables')
          static_data['MV_cables'] = pd.read_csv(os.path.join(package_path, 'data',
                                     equipment_mv_parameters_cables),
                                     comment='#',
                                     converters={'I_max_th': lambda x: int(x),
                                                 'U_n': lambda x: int(x),
                                                 'reinforce_only': lambda x: int(x)})
  
          equipment_lv_parameters_cables = cfg_ding0.get('equipment',
                                                         'equipment_lv_parameters_cables')
          static_data['LV_cables'] = pd.read_csv(os.path.join(package_path, 'data',
                                     equipment_lv_parameters_cables),
                                     comment='#',
                                     index_col='name',
                                     converters={'I_max_th': lambda x: int(x), 'U_n': lambda x: int(x)})
  
          equipment_lv_parameters_trafos = cfg_ding0.get('equipment',
                                                         'equipment_lv_parameters_trafos')
          static_data['LV_trafos'] = pd.read_csv(os.path.join(package_path, 'data',
                                     equipment_lv_parameters_trafos),
                                     comment='#',
                                     delimiter=',',
                                     decimal='.',
                                     converters={'S_nom': lambda x: int(x)})
  
          # import LV model grids
          model_grids_lv_string_properties = cfg_ding0.get('model_grids',
                                                           'model_grids_lv_string_properties')
          static_data['LV_model_grids_strings'] = pd.read_csv(os.path.join(package_path, 'data',
                                                  model_grids_lv_string_properties),
                                                  comment='#',
                                                  delimiter=';',
                                                  decimal=',',
                                                  index_col='string_id',
                                                  converters={'string_id': lambda x: int(x),
                                                              'type': lambda x: int(x),
                                                              'Kerber Original': lambda x: int(x),
                                                              'count house branch': lambda x: int(x),
                                                              'distance house branch': lambda x: int(x),
                                                              'cable width': lambda x: int(x),
                                                              'string length': lambda x: int(x),
                                                              'length house branch A': lambda x: int(x),
                                                              'length house branch B': lambda x: int(x),
                                                              'cable width A': lambda x: int(x),
                                                              'cable width B': lambda x: int(x)})
  
          model_grids_lv_apartment_string = cfg_ding0.get('model_grids',
                                                          'model_grids_lv_apartment_string')
          converters_ids = {}
          for id in range(1,47):  # create int() converter for columns 1..46
              converters_ids[str(id)] = lambda x: int(x)
          static_data['LV_model_grids_strings_per_grid'] = pd.read_csv(os.path.join(package_path, 'data',
                                                           model_grids_lv_apartment_string),
                                                           comment='#',
                                                           delimiter=';',
                                                           decimal=',',
                                                           index_col='apartment_count',
                                                           converters=dict({'apartment_count': lambda x: int(x)},
                                                                           **converters_ids))
  
          return static_data