cleaned the future warning message.

Scripts/generate_signals.py

@@ -171,7 +171,7 @@ class SignalGenerator():
             self.history    = pd.read_csv(os.path.join(self.path_tables, 'TL_IF_SIGL_CYCL.csv'), dtype=loading_dtype)
             self.inter_node = pd.read_csv(os.path.join(self.path_tables, 'inter_node.csv'), dtype=loading_dtype)
             self.matching   = pd.read_csv(os.path.join(self.path_intermediates, 'matching.csv'), dtype=loading_dtype)
-            self.match1  = pd.read_csv(os.path.join(self.path_intermediates, 'match1.csv'), dtype=loading_dtype)
+            self.match1     = pd.read_csv(os.path.join(self.path_intermediates, 'match1.csv'), dtype=loading_dtype)
             self.match6     = pd.read_csv(os.path.join(self.path_intermediates, 'match6.csv'), dtype=loading_dtype)
 
             # 신호이력 컬럼 변경 등
@@ -822,8 +822,8 @@ class SignalGenerator():
 
             SIG = pd.merge(csig_A, csig_B, on=['start_time', 'start_unix'], how='outer')
             SIG = SIG.sort_values(by='start_time').reset_index(drop=True)
-            SIG[['phas_A', 'state_A']] = SIG[['phas_A', 'state_A']].fillna(method='ffill')
-            SIG[['phas_B', 'state_B']] = SIG[['phas_B', 'state_B']].fillna(method='ffill')
+            SIG[['phas_A', 'state_A']] = SIG[['phas_A', 'state_A']].ffill()
+            SIG[['phas_B', 'state_B']] = SIG[['phas_B', 'state_B']].ffill()
             SIG['phase'] = SIG['phas_A'] + "_" + SIG['phas_B']
             SIG['node_id'] = node_id
             SIG = SIG[['node_id', 'start_unix', 'start_time', 'phase', 'state_A', 'state_B']]

Scripts/preprocess_daily.py

@@ -61,7 +61,7 @@ class DailyPreprocessor():
             # 테이블 불러오기
             self.inter_node = pd.read_csv(os.path.join(self.path_tables, 'inter_node.csv'), dtype=loading_dtype)
             self.turn_type  = pd.read_csv(os.path.join(self.path_tables, 'turn_type.csv'), dtype=loading_dtype)
-            self.uturn     = pd.read_csv(os.path.join(self.path_tables, 'uturn.csv'), dtype=loading_dtype)
+            self.uturn      = 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, 'coord.csv'), dtype=loading_dtype)