Update app.py

app.py

@@ -105,14 +105,12 @@ def set_export_ids():
     worksheet = sh.worksheet('SD_Projections')
     load_display = pd.DataFrame(worksheet.get_all_records())
     load_display.replace('', np.nan, inplace=True)
-    load_display.rename(columns={"name": "Player", "PPR": "Median"}, inplace = True)
     raw_display = load_display.dropna(subset=['Median'])
     dk_ids = dict(zip(raw_display['Player'], raw_display['player_id']))
     
     worksheet = sh.worksheet('FD_SD_Projections')
     load_display = pd.DataFrame(worksheet.get_all_records())
     load_display.replace('', np.nan, inplace=True)
-    load_display.rename(columns={"name": "Player", "PPR": "Median"}, inplace = True)
     raw_display = load_display.dropna(subset=['Median'])
     fd_ids = dict(zip(raw_display['Player'], raw_display['player_id']))
 
@@ -613,7 +611,7 @@ with tab3:
     
                         final_outcomes = portfolio
                         
-                        player_freq = pd.DataFrame(np.column_stack(np.unique(portfolio.iloc[:,0:8].values, return_counts=True)),
+                        player_freq = pd.DataFrame(np.column_stack(np.unique(portfolio.iloc[:,0:5].values, return_counts=True)),
                                             columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                         player_freq['Freq'] = player_freq['Freq'].astype(int)
                         player_freq['Position'] = player_freq['Player'].map(player_pos)