Refactor 'exposure_spread' function to support specific column selections for player data retrieval, enhancing flexibility in player filtering logic.

global_func/exposure_spread.py

@@ -248,7 +248,10 @@ def exposure_spread(working_frame, exposure_player, exposure_target, ignore_stac
                     comparable_players = comparable_players[remove_mask]
 
                 # Get the current row data to check for existing players
-                current_row_data = working_frame.iloc[row]
+                if specific_columns != []:
+                    current_row_data = working_frame.iloc[row][specific_columns]
+                else:
+                    current_row_data = working_frame.iloc[row]
                 
                 # Filter out players that are already present in this row
                 existing_players = set(current_row_data.values)
@@ -264,8 +267,15 @@ def exposure_spread(working_frame, exposure_player, exposure_target, ignore_stac
                 if comparable_player_list:
                     insert_player = random.choice(comparable_player_list)
                     # Find which column contains the exposure_player
-                    row_data = working_frame.iloc[row]
-                    for col in working_frame.columns:
+                    if specific_columns != []:
+                        row_data = working_frame.iloc[row][specific_columns]
+                        working_columns = specific_columns
+                    else:
+                        row_data = working_frame.iloc[row]
+                        working_columns = working_frame.columns
+                    
+                    
+                    for col in working_columns:
                         if row_data[col] == exposure_player:
                             # Get the replacement player's positions
                             replacement_player_positions = projections_df[projections_df['player_names'] == insert_player]['position'].iloc[0].split('/')