Update app.py

app.py

@@ -85,21 +85,19 @@ def init_baselines():
     except:
         sh = gcservice_account2.open_by_url(NFL_Data)
     
-    worksheet = sh.worksheet('SD_Projections')
+    worksheet = sh.worksheet('DK_SD_ROO')
     load_display = pd.DataFrame(worksheet.get_all_records())
     load_display.replace('', np.nan, inplace=True)
-    load_display['STDev'] = load_display['PPR'] / 4
-    load_display = load_display.drop_duplicates(subset=['name'], keep='first')
-    load_display.rename(columns={"name": "Player", 'PPR':'Median'}, inplace = True)
+    load_display['STDev'] = load_display['Median'] / 4
+    load_display = load_display.drop_duplicates(subset=['Player'], keep='first')
     
     dk_raw = load_display.dropna(subset=['Median'])
     
-    worksheet = sh.worksheet('FD_SD_Projections')
+    worksheet = sh.worksheet('FD_SD_ROO')
     load_display = pd.DataFrame(worksheet.get_all_records())
     load_display.replace('', np.nan, inplace=True)
-    load_display['STDev'] = load_display['Half_PPR'] / 4
-    load_display = load_display.drop_duplicates(subset=['name'], keep='first')
-    load_display.rename(columns={"name": "Player", 'Half_PPR':'Median'}, inplace = True)
+    load_display['STDev'] = load_display['Median'] / 4
+    load_display = load_display.drop_duplicates(subset=['Player'], keep='first')
     
     fd_raw = load_display.dropna(subset=['Median'])