Enhance lineup splitting logic in load_contest_file function

- Added logic to split the cleaned lineup into individual player positions, improving the organization of player data.
- This change continues the effort to refine data handling and enhance user experience within the application.

global_func/load_contest_file.py

@@ -3,7 +3,7 @@ import pandas as pd
 
 def load_contest_file(upload, sport):
     if sport == 'MLB':
-        pos_list = [' P ', ' C ', '1B ', ' 2B ', ' 3B ', ' SS', ' OF ']
+        pos_list = [' P ', ' C ', '1B ', ' 2B ', ' 3B ', ' SS ', ' OF ']
     if upload is not None:
         try:
             try:
@@ -42,6 +42,7 @@ def load_contest_file(upload, sport):
             # Create the cleaned dataframe with just the essential columns
             cleaned_df = df[['BaseName', 'EntryCount', 'Lineup']]
             cleaned_df['Lineup'] = cleaned_df['Lineup'].replace(pos_list, value=',', regex=True)
+            cleaned_df[['1B', '2B', '3B', 'C', 'OF1', 'OF2', 'OF3', 'P1', 'P2', 'SS']] = cleaned_df['Lineup'].str.split(',', expand=True)
             
             # Get unique entry names
             entry_list = list(set(df['BaseName']))