Refactor lineup processing in `load_file.py` to enhance data extraction and cleanliness

- Updated the logic to dynamically determine the maximum number of players in any lineup, allowing for more flexible data handling.
- Cleaned up the DataFrame by dropping unnecessary columns before returning, improving the usability of the output data.

global_func/load_file.py

@@ -33,16 +33,21 @@ def load_file(upload):
             df['Lineup'] = df['Lineup'].str.replace(r'\b(' + '|'.join(pos_values) + r')\b', r'\1,', regex=True)
             
             # Split into individual columns and remove position indicators
-            for i in range(0,11):
+            # First, determine the maximum number of players in any lineup
+            max_players = df['Lineup'].str.split(',').str.len().max()
+            
+            # Create columns for each player
+            for i in range(max_players):
                 df[i] = df['Lineup'].str.split(',').str[i].str.strip()
                 # Remove position indicators from the end of each entry
                 df[i] = df[i].str.replace(r'\s+(' + '|'.join(pos_values) + r')$', '', regex=True)
             position_dict = dict(zip(df['Player'], df['Pos']))
             ownership_dict = dict(zip(df['Player'], df['Own']))
+            cleaned_df = df.drop(columns=['EntryId', 'EntryName', 'TimeRemaining', 'Points', 'Lineup', 'Player', 'Pos', 'Own', 'FPTS'])
             entry_list = list(set(df['BaseName']))
             entry_list.sort()
             
-            return df, position_dict, ownership_dict, entry_list
+            return cleaned_df, position_dict, ownership_dict, entry_list
         except Exception as e:
             st.error(f'Error loading file: {str(e)}')
             return None