Update app.py

app.py

@@ -85,21 +85,19 @@ def init_baselines():
     except:
         sh = gcservice_account2.open_by_url(NHL_Data)
     
-    worksheet = sh.worksheet('DK_ROO')
+    worksheet = sh.worksheet('Player_Level_ROO')
     load_display = pd.DataFrame(worksheet.get_all_records())
     load_display.replace('', np.nan, inplace=True)
     load_display['STDev'] = load_display['Median'] / 3
-    load_display = load_display.drop_duplicates(subset=['Player'], keep='first')
+    DK_load_display = load_display[load_display['Site'] == 'Draftkings']
+    DK_load_display = DK_load_display.drop_duplicates(subset=['Player'], keep='first')
     
-    dk_raw = load_display.dropna(subset=['Median'])
+    dk_raw = DK_load_display.dropna(subset=['Median'])
     
-    worksheet = sh.worksheet('FD_ROO')
-    load_display = pd.DataFrame(worksheet.get_all_records())
-    load_display.replace('', np.nan, inplace=True)
-    load_display['STDev'] = load_display['Median'] / 3
-    load_display = load_display.drop_duplicates(subset=['Player'], keep='first')
+    FD_load_display = load_display[load_display['Site'] == 'Fanduel']
+    FD_load_display = FD_load_display.drop_duplicates(subset=['Player'], keep='first')
     
-    fd_raw = load_display.dropna(subset=['Median'])
+    fd_raw = FD_load_display.dropna(subset=['Median'])
 
     return dk_raw, fd_raw