Convert prop_table stat columns to float for accurate numerical processing

app.py

@@ -77,6 +77,10 @@ def pull_baselines():
     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)
     prop_table['Player'] = prop_table['Player'].str.strip()
+
+    stat_columns = ['Team_Total', 'Player SOG', 'Player Goals', 'Player Assists', 'Player TP', 'Player Blocks', 'Player Saves']
+    for stat in stat_columns:
+        prop_table[stat] = prop_table[stat].astype(float)
     
     worksheet = sh.worksheet('prop_trends_check')
     raw_display = pd.DataFrame(worksheet.get_all_records())