Update src/populate.py

src/populate.py

@@ -49,7 +49,8 @@ def get_leaderboard_df(results_path: str = None, requests_path: str = None, cols
         if area in AREA_AVG_COLUMN_MAP and AREA_AVG_COLUMN_MAP[area] in df.columns
     ]
     if plue_avg_cols_to_consider:
-        df[AutoEvalColumn.plue_avg.name] = df[plue_avg_cols_to_consider].mean(axis=1, skipna=True)
+        # Substitui 0 por NaN antes de calcular a média PLUE
+        df[AutoEvalColumn.plue_avg.name] = df[plue_avg_cols_to_consider].replace(0, np.nan).mean(axis=1, skipna=True)
         print(f"Calculada Média PLUE usando colunas: {plue_avg_cols_to_consider}")
     else:
         df[AutoEvalColumn.plue_avg.name] = np.nan
@@ -58,7 +59,8 @@ def get_leaderboard_df(results_path: str = None, requests_path: str = None, cols
     # Calcular Média Geral (baseada nas médias de TODAS as áreas)
     avg_area_cols = [col for col in AREA_AVG_COLUMN_MAP.values() if col in df.columns]
     if avg_area_cols:
-        df[AutoEvalColumn.average.name] = df[avg_area_cols].mean(axis=1, skipna=True)
+        # Substitui 0 por NaN antes de calcular a média Geral
+        df[AutoEvalColumn.average.name] = df[avg_area_cols].replace(0, np.nan).mean(axis=1, skipna=True)
         print(f"Calculada Média Geral usando colunas: {avg_area_cols}")
     else: 
         df[AutoEvalColumn.average.name] = np.nan