Refactor scoring percentage calculations in app.py to drop unnecessary columns for DraftKings and FanDuel, enhancing data clarity and consistency across slate types.

app.py

@@ -350,8 +350,10 @@ with tab1:
     scoring_percentages = scoring_percentages.sort_values(by='8+ runs', ascending=False)
     if site_var == 'Draftkings':
         scoring_percentages = scoring_percentages.rename(columns={'DK LevX': 'LevX', 'DK Own%': 'Own%', 'Avg Score': 'Runs', 'Win Percentage': 'Win%', '8+ runs': '8+ Runs'})
+        scoring_percentages = scoring_percentages.drop(['FD Own%'], axis=1)
     elif site_var == 'Fanduel':
         scoring_percentages = scoring_percentages.rename(columns={'FD LevX': 'LevX', 'FD Own%': 'Own%', 'Avg Score': 'Runs', 'Win Percentage': 'Win%', '8+ runs': '8+ Runs'})
+        scoring_percentages = scoring_percentages.drop(['DK Own%'], axis=1)
     
     if view_var == "Simple":
         scoring_percentages = scoring_percentages[['Names', 'Runs', '8+ Runs', 'Win%', 'LevX', 'Own%']]