Update app.py

app.py

@@ -52,15 +52,15 @@ def pull_baselines():
     prop_display['TP Edge'].replace("", np.nan, inplace=True)
     prop_table = prop_display[['Player', 'Position', 'Team', 'Opp', 'Team_Total', 'Player SOG', 'Player Goals', 'Player Assists',
                                'Player TP', 'Player Blocks', 'Player Saves']]
-    prop_table['Player'].replace(['JJ Peterka', 'Alexander Killorn', 'Matt Boldy', 'Nick Paul', 'Sebastion Aho (CAR)', 'Alex Kerfoot'],
-                                  ['John-Jason Peterka', 'Alex Killorn', 'Matthew Boldy', 'Nicholas Paul', 'Sebastion Aho', 'Alexander Kerfoot'], inplace=True)
+    prop_table['Player'].replace(['JJ Peterka', 'Alexander Killorn', 'Matt Boldy', 'Nick Paul', 'Alex Kerfoot'],
+                                  ['John-Jason Peterka', 'Alex Killorn', 'Matthew Boldy', 'Nicholas Paul', 'Alexander Kerfoot'], inplace=True)
     
     worksheet = sh.worksheet('prop_trends')
     raw_display = pd.DataFrame(worksheet.get_all_records())
     raw_display.replace('', np.nan, inplace=True)
     prop_trends = raw_display.dropna(subset='Player')
-    prop_trends['Player'].replace(['JJ Peterka', 'Alexander Killorn', 'Matt Boldy', 'Nick Paul', 'Sebastion Aho (CAR)', 'Alex Kerfoot'],
-                                  ['John-Jason Peterka', 'Alex Killorn', 'Matthew Boldy', 'Nicholas Paul', 'Sebastion Aho', 'Alexander Kerfoot'], inplace=True)
+    prop_trends['Player'].replace(['JJ Peterka', 'Alexander Killorn', 'Matt Boldy', 'Nick Paul', 'Alex Kerfoot'],
+                                  ['John-Jason Peterka', 'Alex Killorn', 'Matthew Boldy', 'Nicholas Paul', 'Alexander Kerfoot'], inplace=True)
     
     team_dict = dict(zip(prop_table['Player'], prop_table['Team']))