Update WNBA lineup parsing in load_contest_file.py

- Added 'Remove' column to the DataFrame for WNBA lineups, ensuring accurate parsing of player positions.
- Enhanced the data cleaning process by dropping unnecessary columns after splitting the lineup, improving overall data integrity.

global_func/load_contest_file.py

@@ -124,7 +124,7 @@ def load_contest_file(upload, type, helper = None, sport = None):
                 elif sport == 'GOLF':
                     cleaned_df[['Remove', 'Guy', 'Dude', 'Pooba', 'Bub', 'Chief', 'Buddy']] = cleaned_df['Lineup'].str.split(',', expand=True)
                 elif sport == 'WNBA':
-                    cleaned_df[['Guard1', 'Guard2', 'Forward1', 'Forward2', 'Forward3', 'UTIL']] = cleaned_df['Lineup'].str.split(',', expand=True)
+                    cleaned_df[['Remove', 'Guard1', 'Guard2', 'Forward1', 'Forward2', 'Forward3', 'UTIL']] = cleaned_df['Lineup'].str.split(',', expand=True)
                 cleaned_df = cleaned_df.drop(columns=['Lineup', 'Remove'])
                 entry_counts = cleaned_df['BaseName'].value_counts()
                 cleaned_df['EntryCount'] = cleaned_df['BaseName'].map(entry_counts)