Update src/populate.py

src/populate.py

@@ -35,8 +35,8 @@ def get_leaderboard_df(results_path: str = None, requests_path: str = None, cols
         area_cols = [task.name for task in tasks_in_area if task.name in df.columns]
         avg_col_name = AREA_AVG_COLUMN_MAP[area_name]
         if area_cols:
-            # Lidar com possíveis NaNs nas colunas antes de calcular a média
-            df[avg_col_name] = df[area_cols].mean(axis=1, skipna=True)
+            # Lidar com possíveis NaNs e substituir 0 por NaN nas colunas antes de calcular a média
+            df[avg_col_name] = df[area_cols].replace(0, np.nan).mean(axis=1, skipna=True)
             print(f"Calculada média para {area_name} usando colunas: {area_cols}")
         else:
             df[avg_col_name] = np.nan
@@ -111,3 +111,4 @@ def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
     df_running = pd.DataFrame.from_records(running_list, columns=cols)
     df_finished = pd.DataFrame.from_records(finished_list, columns=cols)
     return df_finished[cols], df_running[cols], df_pending[cols]
+