Update scoring percentages to include 'Avg_Salary_DK' and 'Avg_Salary_FD' columns. Adjust column selections for Draftkings and Fanduel by dropping unnecessary salary columns, improving data clarity for player statistics in the UI.

app.py

@@ -118,7 +118,7 @@ def init_baselines():
     team_frame = pd.DataFrame(cursor)
     scoring_percentages = team_frame.drop(columns=['_id'])
     scoring_percentages['Runs/$'] = scoring_percentages['Avg Score'] / (scoring_percentages['Avg_Salary'] / 1000)
-    scoring_percentages = scoring_percentages[['Names', 'Avg_Salary', 'Stack_Prio', 'Opp_SP', 'Avg First Inning', 'First Inning Lead Percentage', 'Avg Fifth Inning', 'Fifth Inning Lead Percentage', 'Avg Score', 'Runs/$', '8+ runs', 'Win Percentage',
+    scoring_percentages = scoring_percentages[['Names', 'Avg_Salary_DK', 'Avg_Salary_FD', 'Stack_Prio', 'Opp_SP', 'Avg First Inning', 'First Inning Lead Percentage', 'Avg Fifth Inning', 'Fifth Inning Lead Percentage', 'Avg Score', 'Runs/$', '8+ runs', 'Win Percentage',
     'DK Main Slate', 'DK Secondary Slate', 'DK Turbo Slate', 'FD Main Slate', 'FD Secondary Slate', 'FD Turbo Slate', 'DK Main Top Score', 'FD Main Top Score', 'DK Secondary Top Score', 'FD Secondary Top Score',
     'DK Turbo Top Score', 'FD Turbo Top Score']]
     scoring_percentages['8+ runs'] = scoring_percentages['8+ runs'].replace('%', '', regex=True).astype(float)
@@ -386,10 +386,10 @@ 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)
+        scoring_percentages = scoring_percentages.drop(['FD Own%', 'Avg_Salary_FD'], 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)
+        scoring_percentages = scoring_percentages.drop(['DK Own%', 'Avg_Salary_DK'], axis=1)
     
     if view_var == "Simple":
         scoring_percentages = scoring_percentages[['Names', 'Runs', '8+ Runs', 'Win%', 'LevX', 'Own%']]