Add functionality to export player data in both ID and name formats in app.py, enhancing user options for data downloads and improving overall export capabilities.

app.py

@@ -442,6 +442,7 @@ with tab3:
                     player_var2 = raw_baselines.Player.values.tolist()
 
         if st.button("Prepare data export", key='data_export'):
+            name_export = pd.DataFrame(st.session_state.working_seed.copy(), columns=column_names)
             data_export = pd.DataFrame(st.session_state.working_seed.copy(), columns=column_names)
             if site_var == 'Draftkings':
                 map_columns = ['SP1', 'SP2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']
@@ -452,11 +453,17 @@ with tab3:
                 for col_idx in map_columns:
                     data_export[col_idx] = data_export[col_idx].map(fd_id_map)
             st.download_button(
-                label="Export optimals set",
+                label="Export optimals set (IDs)",
                 data=convert_df(data_export),
                 file_name='MLB_optimals_export.csv',
                 mime='text/csv',
             )
+            st.download_button(
+                label="Export optimals set (Names)",
+                data=convert_df(name_export),
+                file_name='MLB_optimals_export.csv',
+                mime='text/csv',
+            )
         
     if site_var == 'Draftkings':
         if 'working_seed' in st.session_state:
@@ -493,6 +500,7 @@ with tab3:
             st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:lineup_num_var], columns=column_names)
 
     export_file = st.session_state.data_export_display.copy()
+    name_export = st.session_state.data_export_display.copy()
     if site_var == 'Draftkings':
         map_columns = ['SP1', 'SP2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3']
         for col_idx in map_columns:
@@ -513,11 +521,17 @@ with tab3:
         if 'data_export_display' in st.session_state:
             st.dataframe(st.session_state.data_export_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height=500, use_container_width = True)
         st.download_button(
-            label="Export display optimals",
+            label="Export display optimals (IDs)",
             data=convert_df(export_file),
             file_name='MLB_display_optimals.csv',
             mime='text/csv',
         )
+        st.download_button(
+            label="Export display optimals (Names)",
+            data=convert_df(name_export),
+            file_name='MLB_display_optimals.csv',
+            mime='text/csv',
+        )
     
     with st.container():
         if 'working_seed' in st.session_state: