Add player salary to simple view summary DataFrame

app.py

@@ -171,6 +171,7 @@ def convert_df(array):
     return array.to_csv().encode('utf-8')
 
 dk_raw, fd_raw, dk_raw_sec, fd_raw_sec, roo_raw, timestamp, roo_backlog = load_overall_stats()
+salary_dict = dict(zip(roo_raw.Player, roo_raw.Salary))
 
 try:
     dk_lineups = init_DK_lineups()
@@ -587,7 +588,8 @@ with tab2:
                     summary_df = pd.DataFrame({
                         'Player': value_counts.index,
                         'Frequency': value_counts.values,
-                        'Percentage': percentages.values
+                        'Percentage': percentages.values,
+                        'Salary': [salary_dict.get(player, player) for player in value_counts.index]
                     })
                     
                     # Sort by frequency in descending order