Update app.py

app.py

@@ -79,12 +79,21 @@ def predict_7_days(sell_features, buy_features, linear_model, scaler):
     )
 
 
-    # Harga terakhir
-    last_price = [sell_features[7], buy_features[7]]
-
+    # Harga terakhir dari data sebelumnya
+    last_price = [sell_features[7], buy_features[7]]  # Harga jual dan beli terakhir
+    
     # Hitung persentase perubahan harian
-    predictions_df['sell_change'] = predictions_df['sell'].pct_change().fillna(0) * 100
-    predictions_df['buy_change'] = predictions_df['buy'].pct_change().fillna(0) * 100
+    # Data pertama dihitung berdasarkan last_price
+    predictions_df['sell_change'] = predictions_df['sell'].pct_change() * 100
+    predictions_df['buy_change'] = predictions_df['buy'].pct_change() * 100
+    
+    # Perubahan untuk data pertama dihitung manual
+    predictions_df.loc[predictions_df.index[0], 'sell_change'] = ((predictions_df['sell'].iloc[0] - last_price[0]) / last_price[0]) * 100
+    predictions_df.loc[predictions_df.index[0], 'buy_change'] = ((predictions_df['buy'].iloc[0] - last_price[1]) / last_price[1]) * 100
+    
+    # Ganti nilai NaN untuk baris lainnya dengan 0
+    predictions_df['sell_change'] = predictions_df['sell_change'].fillna(0)
+    predictions_df['buy_change'] = predictions_df['buy_change'].fillna(0)
 
     # Hitung perubahan total dari hari ini ke hari ketujuh
     total_sell_change = ((predictions_df['sell'].iloc[-1] - last_price[0]) / last_price[0]) * 100