Update model_predictor.py

model_predictor.py

@@ -64,7 +64,7 @@ class StockPredictor:
         taiwan_stock = yf.Ticker('2330.TW')
         taiwan_data = taiwan_stock.history(start=start_date, end=end_date)
         
-        # 新增: 移除時區，使索引為 tz-naive
+        # 移除時區，使索引為 tz-naive
         taiwan_data.index = taiwan_data.index.tz_localize(None)
 
         if taiwan_data.empty:
@@ -86,7 +86,7 @@ class StockPredictor:
                 ticker = yf.Ticker(symbol)
                 data = ticker.history(start=start_date, end=end_date)
                 
-                # 新增: 移除時區，使索引為 tz-naive
+                # 移除時區，使索引為 tz-naive
                 data.index = data.index.tz_localize(None)
                 
                 if not data.empty:
@@ -97,7 +97,7 @@ class StockPredictor:
                 print(f"獲取 {name} 數據時發生錯誤: {e}")
 
         # 合併數據
-        main_df = pd.DataFrame(index=taiwan_data.index)  # 現在 index 已 tz-naive
+        main_df = pd.DataFrame(index=taiwan_data.index)
         main_df['close'] = taiwan_data['Close']
         main_df['volume'] = taiwan_data['Volume']
 
@@ -106,7 +106,6 @@ class StockPredictor:
 
         # 添加美國市場數據
         for name, data in us_data.items():
-            # 重新索引以匹配台灣股市交易日
             main_df[name] = data.reindex(main_df.index, method='ffill')
 
         return main_df