Enhanced Bet Sheet functionality by refining data processing: added O/U column based on projections, improved sorting and filtering, and ensured only relevant columns are displayed.

src/streamlit_app.py

@@ -155,10 +155,12 @@ def init_baselines():
     raw_display.replace('', np.nan, inplace=True)
     raw_display = raw_display[['Name', 'PropType', 'No Vig', 'Projection', 'Edge']]
     raw_display = raw_display.rename(columns={"Name": "Player", "PropType": "prop_type"})
-    bet_sheet = raw_display.dropna(subset='Player')
-    bet_sheet = bet_sheet.reset_index(drop=True)
-    bet_sheet = bet_sheet.drop_duplicates(subset=['Player', 'prop_type'], keep='first')
-    bet_sheet = bet_sheet.sort_values(by='Edge', ascending=False)
+    raw_display = raw_display.dropna(subset='Player')
+    raw_display = raw_display.drop_duplicates(subset=['Player', 'prop_type'], keep='first')
+    raw_display = raw_display.sort_values(by='Edge', ascending=False)
+    raw_display = raw_display.reset_index(drop=True)
+    raw_display['O/U'] = np.where(raw_display['No Vig'] > raw_display['Projection'], 'Under', 'Over')
+    bet_sheet = raw_display[['Player', 'prop_type', 'O/U', 'No Vig', 'Projection', 'Edge']]
 
     collection = db["Pick6_Trends"] 
     cursor = collection.find()