Comment out data frame dropna calls in app.py to simplify data processing for betting models, maintaining the structure for potential future use.

app.py

@@ -97,19 +97,19 @@ def init_baselines():
         cursor = collection.find()
         raw_display = pd.DataFrame(cursor)
         raw_display.replace('', np.nan, inplace=True)
-        prop_frame = raw_display.dropna(subset='Team')
+        # prop_frame = raw_display.dropna(subset='Team')
         
         sh = gc.open_by_url(master_hold)
         worksheet = sh.worksheet('Prop_results')
         raw_display = pd.DataFrame(worksheet.get_all_records())
         raw_display.replace('', np.nan, inplace=True)
-        betsheet_frame = raw_display.dropna(subset='proj')
+        # betsheet_frame = raw_display.dropna(subset='proj')
         
         collection = db['Pick6_Trends']
         cursor = collection.find()
         raw_display = pd.DataFrame(cursor)
         raw_display.replace('', np.nan, inplace=True)
-        pick_frame = raw_display.dropna(subset='Player')
+        # pick_frame = raw_display.dropna(subset='Player')
         
         return pitcher_stats, hitter_stats, team_frame, prop_frame, betsheet_frame, pick_frame