Refactor player salary mapping for both Regular and Showdown slates

- Update player_salaries dictionary creation using dict(zip()) for Regular and Showdown data
- Ensure consistent salary mapping when resetting data in both tab1 and tab2
- Simplify salary dictionary generation by replacing map() with more readable dict(zip()) method

app.py

@@ -110,7 +110,8 @@ def convert_df(array):
     return array.to_csv().encode('utf-8')
 
 roo_data, sd_roo_data, timestamp = init_baselines()
-player_salaries = map(dict, roo_data[['Player', 'Salary']].values)
+player_salaries = dict(zip(roo_data['Player'], roo_data['Salary']))
+sd_player_salaries = dict(zip(sd_roo_data['Player'], sd_roo_data['Salary']))
 hold_display = roo_data
 lineup_display = []
 check_list = []
@@ -126,6 +127,8 @@ with tab1:
             # i.e. clear values from both square and cube
             st.cache_data.clear()
             roo_data, sd_roo_data, timestamp = init_baselines()
+            player_salaries = dict(zip(roo_data['Player'], roo_data['Salary']))
+            sd_player_salaries = dict(zip(sd_roo_data['Player'], sd_roo_data['Salary']))
             dk_lineups = init_DK_lineups('Regular')
             fd_lineups = init_FD_lineups('Regular')
             hold_display = roo_data
@@ -179,7 +182,8 @@ with tab2:
         if st.button("Load/Reset Data", key='reset2'):
             st.cache_data.clear()
             roo_data, sd_roo_data, timestamp = init_baselines()
-            player_salaries = map(dict, roo_data[['Player', 'Salary']].values)
+            player_salaries = dict(zip(roo_data['Player'], roo_data['Salary']))
+            sd_player_salaries = dict(zip(sd_roo_data['Player'], sd_roo_data['Salary']))
             hold_display = roo_data
             dk_lineups = init_DK_lineups('Regular')
             fd_lineups = init_FD_lineups('Regular')