changed the expression 'from' and 'to' to 'inc' and 'out'. But some error occurs.'

Data/tables/uturn.csv

@@ -1,4 +1,4 @@
-parent_id,child_id,adj_from_edge_id,adj_to_edge_id,from_edge_id,to_edge_id
+parent_id,child_id,adj_inc_edge_id,adj_out_edge_id,inc_edge_id,out_edge_id
 i0,u00,-571500487_01,571500487_01,571500487_02,571500487_01.32
 i2,u20,571542811_02,571542811_01,571542810_01.51,571542810_02
 i3,u30,571556450_02,571556450_01,571556452_01,571556452_02

Scripts/preprocess_daily.py

@@ -59,7 +59,6 @@ class DailyPreprocessor():
         self.angle      = pd.read_csv(os.path.join(self.path_tables, 'angle.csv'), dtype=loading_dtype)
         self.plan       = pd.read_csv(os.path.join(self.path_tables, 'plan.csv'), dtype=loading_dtype)
         self.inter_node = pd.read_csv(os.path.join(self.path_tables, 'inter_node.csv'), dtype=loading_dtype)
-        self.uturn      = pd.read_csv(os.path.join(self.path_tables, 'child_uturn.csv'), dtype=loading_dtype)
         self.u_turn     = pd.read_csv(os.path.join(self.path_tables, 'uturn.csv'), dtype=loading_dtype)
         self.u_condition= pd.read_csv(os.path.join(self.path_tables, 'u_condition.csv'), dtype=loading_dtype)
         self.coord      = pd.read_csv(os.path.join(self.path_tables, 'child_coord.csv'), dtype=loading_dtype)
@@ -191,7 +190,7 @@ class DailyPreprocessor():
     def restore_objects(self):
         self.parent_ids = sorted(self.inter_node[self.inter_node.inter_type=='parent'].node_id.unique())
         self.child_ids = sorted(self.inter_node[self.inter_node.inter_type=='child'].node_id.unique())
-        self.uturn_ids = sorted(self.uturn.child_id.unique())
+        self.u_turn_ids = sorted(self.u_turn.child_id.unique())
         self.coord_ids = sorted(self.coord.child_id.unique())
 
         # node2inter : node_id to inter_no
@@ -217,7 +216,7 @@ class DailyPreprocessor():
         ids = {'node_ids'  : self.node_ids,
                'parent_ids': self.parent_ids,
                'child_ids' : self.child_ids,
-               'uturn_ids' : self.uturn_ids,
+               'uturn_ids' : self.u_turn_ids,
                'coord_ids' : self.coord_ids,
                'inter_nos' : self.inter_nos}
         with open(os.path.join(self.path_intermediates, 'ids.json'), 'w') as file:
@@ -460,10 +459,10 @@ class DailyPreprocessor():
             parent_id = row.parent_id
             child_id = row.child_id
             condition = row.condition
-            inc_edge_id = row.from_edge_id
-            out_edge_id = row.to_edge_id
-            adj_inc_edge_id = row.adj_from_edge_id
-            adj_out_edge_id = row.adj_to_edge_id
+            inc_edge_id = row.inc_edge_id
+            out_edge_id = row.out_edge_id
+            adj_inc_edge_id = row.adj_inc_edge_id
+            adj_out_edge_id = row.adj_out_edge_id
 
             # match5에서 부모노드id에 해당하는 행들을 가져옴 (cmatch)
             cmatch = self.match5.copy()[self.match5.node_id==parent_id] # match dataframe for a child node
@@ -707,7 +706,7 @@ class DailyPreprocessor():
                     if index >= 0:
                         self.node2init[node_id][index] = 'r'
         # 유턴교차로
-        for _, row in self.uturn.iterrows():
+        for _, row in self.u_turn.iterrows():
             node_id = row.child_id
             inc_edge_id = row.inc_edge_id
             out_edge = row.out_edge_id
@@ -785,7 +784,7 @@ class DailyPreprocessor():
         print('2-3. 직진 및 좌회전(G)을 배정했습니다.')
 
         uid2uindex = {}
-        for uid in self.uturn_ids:
+        for uid in self.u_turn_ids:
             states = self.match6[self.match6.node_id==uid].state.unique()
             for state in states:
                 if 'G' in state: