Enhance load_contest_file function to include EntryCount in cleaned dataframe

- Updated the cleaned dataframe to calculate and include 'EntryCount' based on the frequency of 'BaseName', improving data insights for further processing.
- This change continues the effort to refine data handling and enhance the overall functionality of the application.

global_func/load_contest_file.py

@@ -40,11 +40,13 @@ def load_contest_file(upload, sport):
             pos_df = df[['Player', 'Pos']]
             
             # Create the cleaned dataframe with just the essential columns
-            cleaned_df = df[['BaseName', 'EntryCount', 'Lineup']]
+            cleaned_df = df[['BaseName', 'Lineup']]
             cleaned_df['Lineup'] = cleaned_df['Lineup'].replace(pos_list, value=',', regex=True)
             check_lineups = cleaned_df.copy()
             cleaned_df[['Remove', '1B', '2B', '3B', 'C', 'OF1', 'OF2', 'OF3', 'P1', 'P2', 'SS']] = 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)
             cleaned_df = cleaned_df[['BaseName', 'EntryCount', 'P1', 'P2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']]
             
             # Get unique entry names