Update app.py

app.py

@@ -111,10 +111,10 @@ schedule_df['away_sym'] = '@'
 schedule_df['home_sym'] = 'vs'
 
 
-if not os.path.isfile('standings/standings_'+str(date.today())+'.csv'):   
-    standings_df_old = pd.read_html('https://www.hockey-reference.com/leagues/NHL_2023_standings.html')[0].append(pd.read_html('https://www.hockey-reference.com/leagues/NHL_2023_standings.html')[1])
-    standings_df_old.to_csv('standings/standings_'+str(date.today())+'.csv')
-standings_df_old = pd.read_csv('standings/standings_'+str(date.today())+'.csv',index_col=[0])
+#if not os.path.isfile('standings/standings_'+str(date.today())+'.csv'):   
+standings_df_old = pd.read_html('https://www.hockey-reference.com/leagues/NHL_2023_standings.html')[0].append(pd.read_html('https://www.hockey-reference.com/leagues/NHL_2023_standings.html')[1])
+#    standings_df_old.to_csv('standings/standings_'+str(date.today())+'.csv')
+#standings_df_old = pd.read_csv('standings/standings_'+str(date.today())+'.csv',index_col=[0])
 
 standings_df = standings_df_old[standings_df_old['Unnamed: 0'].str[-8:] != 'Division'].sort_values('Unnamed: 0').reset_index(drop=True).rename(columns={'Unnamed: 0':'Team'})#.drop(columns='Unnamed: 0')
 #standings_df = standings_df.replace('St. Louis Blues','St Louis Blues')