Refactor player information mapping in app.py for consistency and clarity

- Updated the player information DataFrame to rename 'Display Name' to 'Player', ensuring consistent terminology across the codebase.
- Adjusted the construction of various dictionaries to utilize the new 'Player' column, enhancing readability and maintainability of the player data mappings.
- Maintained existing functionality while improving the clarity of player data handling during contest processing.

app.py

@@ -42,13 +42,14 @@ def grab_contest_player_info(db, sport, type, contest_name, contest_id_map):
 
     player_info = pd.DataFrame(list(cursor)).drop('_id', axis=1)
     player_info = player_info[player_info['Contest ID'] == contest_id_map[contest_name]]
+    player_info = player_info.rename(columns={'Display Name': 'Player'})
 
     info_maps = {
-        'position_dict': dict(zip(player_info['Display Name'], player_info['Position'])),
-        'salary_dict': dict(zip(player_info['Display Name'], player_info['Salary'])),
-        'team_dict': dict(zip(player_info['Display Name'], player_info['Team'])),
-        'opp_dict': dict(zip(player_info['Display Name'], player_info['Opp'])),
-        'fpts_avg_dict': dict(zip(player_info['Display Name'], player_info['Avg FPTS']))
+        'position_dict': dict(zip(player_info['Player'], player_info['Position'])),
+        'salary_dict': dict(zip(player_info['Player'], player_info['Salary'])),
+        'team_dict': dict(zip(player_info['Player'], player_info['Team'])),
+        'opp_dict': dict(zip(player_info['Player'], player_info['Opp'])),
+        'fpts_avg_dict': dict(zip(player_info['Player'], player_info['Avg FPTS']))
     }
     
     return player_info, info_maps