Update app.py to handle empty values in scoring percentages for all slate types in DraftKings and FanDuel, ensuring accurate data representation and improving overall data integrity.

app.py

@@ -92,7 +92,12 @@ def init_baselines():
     'DK Turbo Top Score', 'FD Turbo Top Score']]
     scoring_percentages['8+ runs'] = scoring_percentages['8+ runs'].replace('%', '', regex=True).astype(float)
     scoring_percentages['Win Percentage'] = scoring_percentages['Win Percentage'].replace('%', '', regex=True).astype(float)
-    scoring_percentages['Top Score'] = scoring_percentages['Top Score'].replace('', np.nan).astype(float)
+    scoring_percentages['DK Main Top Score'] = scoring_percentages['DK Main Top Score'].replace('', np.nan).astype(float)
+    scoring_percentages['FD Main Top Score'] = scoring_percentages['FD Main Top Score'].replace('', np.nan).astype(float)
+    scoring_percentages['DK Secondary Top Score'] = scoring_percentages['DK Secondary Top Score'].replace('', np.nan).astype(float)
+    scoring_percentages['FD Secondary Top Score'] = scoring_percentages['FD Secondary Top Score'].replace('', np.nan).astype(float)
+    scoring_percentages['DK Turbo Top Score'] = scoring_percentages['DK Turbo Top Score'].replace('', np.nan).astype(float)
+    scoring_percentages['FD Turbo Top Score'] = scoring_percentages['FD Turbo Top Score'].replace('', np.nan).astype(float)
     
     return roo_data, sd_roo_data, scoring_percentages, dk_roo, fd_roo, dk_id_map, fd_id_map
 
@@ -322,16 +327,20 @@ with tab1:
             scoring_percentages = scoring_percentages.rename(columns={'DK Main Top Score': 'Top Score'})
         elif slate_var1 == 'Secondary Slate':
             scoring_percentages['DK LevX'] = scoring_percentages['DK Secondary Top Score'].rank(pct=True).astype(float) - scoring_percentages['DK Own%'].rank(pct=True).astype(float)
+            scoring_percentages = scoring_percentages.rename(columns={'DK Secondary Top Score': 'Top Score'})
         elif slate_var1 == 'Turbo Slate':
             scoring_percentages['DK LevX'] = scoring_percentages['DK Turbo Top Score'].rank(pct=True).astype(float) - scoring_percentages['DK Own%'].rank(pct=True).astype(float)
+            scoring_percentages = scoring_percentages.rename(columns={'DK Turbo Top Score': 'Top Score'})
     elif site_var == 'Fanduel':
         if slate_var1 == 'Main Slate':
             scoring_percentages['FD LevX'] = scoring_percentages['FD Main Top Score'].rank(pct=True).astype(float) - scoring_percentages['FD Own%'].rank(pct=True).astype(float)
+            scoring_percentages = scoring_percentages.rename(columns={'FD Main Top Score': 'Top Score'})
         elif slate_var1 == 'Secondary Slate':
             scoring_percentages['FD LevX'] = scoring_percentages['FD Secondary Top Score'].rank(pct=True).astype(float) - scoring_percentages['FD Own%'].rank(pct=True).astype(float)
+            scoring_percentages = scoring_percentages.rename(columns={'FD Secondary Top Score': 'Top Score'})
         elif slate_var1 == 'Turbo Slate':
             scoring_percentages['FD LevX'] = scoring_percentages['FD Turbo Top Score'].rank(pct=True).astype(float) - scoring_percentages['FD Own%'].rank(pct=True).astype(float)
-
+            scoring_percentages = scoring_percentages.rename(columns={'FD Turbo Top Score': 'Top Score'})
     scoring_percentages = scoring_percentages.sort_values(by='8+ runs', ascending=False)
     scoring_percentages = scoring_percentages.drop(['DK Main Slate', 'DK Secondary Slate', 'DK Turbo Slate', 'FD Main Slate', 'FD Secondary Slate', 'FD Turbo Slate'], axis=1)
     if site_var == 'Draftkings':