Update data export column handling in app.py: increase the number of columns processed for Showdown slate types in both Draftkings and Fanduel, ensuring accurate player ID mapping and enhancing data export functionality.

app.py

@@ -428,7 +428,7 @@ with tab2:
                         data_export[:, col_idx] = np.array([id_dict.get(player, player) for player in data_export[:, col_idx]])
                 elif slate_type_var1 == 'Showdown':
                     data_export = init_DK_SD_lineups(slate_var1)
-                    for col_idx in range(5):
+                    for col_idx in range(6):
                         data_export[:, col_idx] = np.array([id_dict_sd.get(player, player) for player in data_export[:, col_idx]])
                 
             elif site_var1 == 'Fanduel':
@@ -438,7 +438,7 @@ with tab2:
                         data_export[:, col_idx] = np.array([id_dict.get(player, player) for player in data_export[:, col_idx]])
                 elif slate_type_var1 == 'Showdown':
                     data_export = init_FD_SD_lineups(slate_var1)
-                    for col_idx in range(5):
+                    for col_idx in range(6):
                         data_export[:, col_idx] = np.array([id_dict_sd.get(player, player) for player in data_export[:, col_idx]])
                 
             st.download_button(
@@ -503,14 +503,14 @@ with tab2:
             for col_idx in range(8):
                 export_file.iloc[:, col_idx] = export_file.iloc[:, col_idx].map(id_dict)
         elif slate_type_var1 == 'Showdown':
-            for col_idx in range(5):
+            for col_idx in range(6):
                 export_file.iloc[:, col_idx] = export_file.iloc[:, col_idx].map(id_dict_sd)
     elif site_var1 == 'Fanduel':
         if slate_type_var1 == 'Regular':
             for col_idx in range(9):
                 export_file.iloc[:, col_idx] = export_file.iloc[:, col_idx].map(id_dict)
         elif slate_type_var1 == 'Showdown':
-            for col_idx in range(5):
+            for col_idx in range(6):
                 export_file.iloc[:, col_idx] = export_file.iloc[:, col_idx].map(id_dict_sd)
             
     with st.container():