Update app.py

app.py

@@ -1026,7 +1026,7 @@ sentiment_pipeline = pipeline("sentiment-analysis", model=MODEL_SENTIMENT)
 
 # --- LOAD DATASET ---
 df_multi = pd.DataFrame(load_dataset(HF_DATASET)["train"])
-df_multi['date'] = pd.to_datetime(df_multi['Data'], errors='coerce')
+df_multi['date'] = pd.to_datetime(df_multi['Date'], errors='coerce')
 df_multi['date_merge'] = df_multi['date'].dt.normalize()
 df_multi.sort_values('date', inplace=True)
 
@@ -1101,12 +1101,12 @@ for company in companies:
     dfs_final[company] = df_c
 
 # --- PLOT STRATEGIES ---
-df_plot_A = pd.concat([df[['Data','StrategyA_Cumulative']].assign(Company=company) for company, df in dfs_final.items()], ignore_index=True)
+df_plot_A = pd.concat([df[['Date','StrategyA_Cumulative']].assign(Company=company) for company, df in dfs_final.items()], ignore_index=True)
 #df_plot_B = pd.concat([df[['Data','StrategyB_Cumulative']].assign(Company=company) for company, df in dfs_final.items()], ignore_index=True)
 
-fig_strategy_A = px.line(df_plot_A, x='Data', y='StrategyA_Cumulative', color='Company',
+fig_strategy_A = px.line(df_plot_A, x='Date', y='StrategyA_Cumulative', color='Company',
                          title="Portfolio Evolution Following Strategy A (Sentiment)",
-                         labels={'StrategyA_Cumulative':'Cumulative Value','Data':'Date'})
+                         labels={'StrategyA_Cumulative':'Cumulative Value','Date':'Date'})
 #fig_strategy_B = px.line(df_plot_B, x='Data', y='StrategyB_Cumulative', color='Company',
 #                         title="Portfolio Evolution Following Strategy B (Regression)",
 #                         labels={'StrategyB_Cumulative':'Cumulative Value','Data':'Date'})
@@ -1125,14 +1125,14 @@ def show_company_data(selected_companies):
     
     # --- Strategy plots ---
     df_plot_A = pd.concat(
-        [dfs_final[c][['Data','StrategyA_Cumulative']].assign(Company=c) for c in selected_companies if c in dfs_final],
+        [dfs_final[c][['Date','StrategyA_Cumulative']].assign(Company=c) for c in selected_companies if c in dfs_final],
         ignore_index=True
     )
     # df_plot_B = pd.concat([dfs_final[c][['Data','StrategyB_Cumulative']].assign(Company=c) for c in selected_companies if c in dfs_final], ignore_index=True)
     
     fig_A = px.line(
         df_plot_A, 
-        x='Data', 
+        x='Date', 
         y='StrategyA_Cumulative', 
         color='Company', 
         title="Portfolio Evolution - Strategy A (Sentiment)"