Refactor player filtering logic in exposure_spread function to directly apply a mask for removing rows without the exposure_player, enhancing clarity and ensuring accurate player selection during exposure calculations.

global_func/exposure_spread.py

@@ -333,12 +333,12 @@ def exposure_spread(working_frame, exposure_player, exposure_target, exposure_st
                             lambda row: not any(team in list(row) for team in remove_teams), axis=1
                         )
                     comparable_players = comparable_players[remove_mask]
-
-                # Get the current row data to check for existing players
-                current_row_data = working_frame.iloc[row]
                 
-                # Filter out players that are already present in this row
-                # existing_players = set(current_row_data.values)
+                remove_mask = working_frame.apply(
+                    lambda row: exposure_player not in list(row), axis=1
+                )
+                working_frame = working_frame[remove_mask]
+                
                 comparable_players = comparable_players[comparable_players['player_names'] != exposure_player]
 
                 # Create a list of comparable players