Fix override logic to allow setting value to zero and drop all nans

src/login.py

@@ -163,13 +163,11 @@ def get_stat_overrides() -> dict[int, dict[str, dict[str, float]]]:
         usecols=[0, 1, 2, 3],
     )
     stat_overrides_map: dict[int, dict[str, dict[str, float]]] = {w: {} for w in df.week.values}
-
-    for week, df_week in df.groupby("week"):
+    for week, df_week in df.dropna().groupby("week"):
         for player_id, df_player in df_week.groupby("player_id"):
             if player_id not in stat_overrides_map[week]:
                 stat_overrides_map[week][player_id] = {}
             for row in df_player.itertuples():
-                if isinstance(row.stat_key, str) and row.stat_value:
+                if isinstance(row.stat_key, str):
                     stat_overrides_map[week][player_id][row.stat_key] = float(row.stat_value)
-
     return stat_overrides_map