Refactor data type handling in grab_contest_data.py for improved clarity

- Updated the data type conversion in the lineups DataFrame to apply specifically to columns defined in position_inserts, enhancing clarity and maintainability.
- This change aligns with ongoing efforts to streamline data processing and ensure data integrity.

global_func/grab_contest_data.py

@@ -65,8 +65,8 @@ def grab_contest_data(sport, contest_name, contest_id_map, contest_date_map):
     lineups_df = lineups_df.rename(columns={'index': 'Rank', 'points': 'Points', 'entryNameList': 'EntryName', 'lineupHash': 'Lineup'})
     lineups_df['EntryName'] = lineups_df['EntryName'] + ' (1/1)'
     lineups_df['Lineup'] = lineups_df['Lineup'].apply(lambda x: format_lineup_string(x, position_inserts))
-    for col in lineups_df.columns[2:]:
-        lineups_df[col] = lineups_df[col].astype(int)
+    for pos_col in position_inserts:
+        lineups_df[pos_col] = lineups_df[pos_col].astype(int)
     lineups_df['Lineup'] = lineups_df['Lineup'].replace(pid_map, regex=True)
     lineups_df = lineups_df[['Rank', 'EntryId', 'EntryName', 'TimeRemaining', 'Points', 'Lineup']]