Update app.py to include additional columns 'Team', 'Team_count', 'Secondary', and 'Secondary_count' in player data display, enhancing the detail and usability of player metrics for both DraftKings and FanDuel lineups.

app.py

@@ -174,7 +174,7 @@ def init_FD_lineups(type_var,slate_var):
                 cursor = collection.find().limit(10000)
 
                 raw_display = pd.DataFrame(list(cursor))
-                raw_display = raw_display[['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Own']]
+                raw_display = raw_display[['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
                 dict_columns = ['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']
                 # Map names
                 raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
@@ -188,7 +188,7 @@ def init_FD_lineups(type_var,slate_var):
                 cursor = collection.find().limit(10000)
 
                 raw_display = pd.DataFrame(list(cursor))
-                raw_display = raw_display[['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Own']]
+                raw_display = raw_display[['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
                 dict_columns = ['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']
                 # Map names
                 raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
@@ -202,7 +202,7 @@ def init_FD_lineups(type_var,slate_var):
                 cursor = collection.find().limit(10000)
             
                 raw_display = pd.DataFrame(list(cursor))
-                raw_display = raw_display[['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Own']]
+                raw_display = raw_display[['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
                 dict_columns = ['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']
                 # Map names
                 raw_display[dict_columns] = raw_display[dict_columns].apply(lambda x: x.map(names_dict))
@@ -296,9 +296,9 @@ with tab2:
             if pos_var2 == 'All':
                 pass
             elif pos_var2 == 'Pitchers':
-                player_roo_raw = player_roo_raw[player_roo_raw['Position'].str.contains('P')]
+                player_roo_raw = player_roo_raw[player_roo_raw['pos_group'] == 'Pitchers']
             elif pos_var2 == 'Hitters':
-                player_roo_raw = player_roo_raw[player_roo_raw['Position'].str.contains('P')]
+                player_roo_raw = player_roo_raw[player_roo_raw['pos_group'] == 'Hitters']
 
         elif site_var == 'Fanduel':
             
@@ -307,9 +307,9 @@ with tab2:
             if pos_var2 == 'All':
                 pass
             elif pos_var2 == 'Pitchers':
-                player_roo_raw = player_roo_raw[player_roo_raw['Position'].str.contains('P')]
+                player_roo_raw = player_roo_raw[player_roo_raw['pos_group'] == 'Pitchers']
             elif pos_var2 == 'Hitters':
-                player_roo_raw = player_roo_raw[player_roo_raw['Position'].str.contains('P')]
+                player_roo_raw = player_roo_raw[player_roo_raw['pos_group'] == 'Hitters']
         
         if slate_var2 == 'Main':
             player_roo_raw = player_roo_raw[player_roo_raw['Slate'] == 'main_slate']