Enhance app.py with new download functionality: add export options for both Regular and Portfolio Manager views, allowing users to download player data in CSV format, improving data accessibility and user experience.

app.py

@@ -464,9 +464,27 @@ with tab1:
     elif view_var2 == 'Simple':
         display_proj = display_proj[['Player', 'Position', 'Salary', 'Median', 'GPP%', 'Own']]
     export_data = display_proj.copy()
+    export_data_pm = display_proj[['Player', 'Position', 'Team', 'Salary', 'Median', 'Own%', 'CPT_Own']]
+    export_data_pm = export_data_pm.rename(columns={'Own%': 'ownership', 'Median': 'median', 'Player': 'player_names', 'Position': 'position', 'Team': 'team', 'Salary': 'salary', 'CPT_Own': 'captain ownership'})
 
     # display_proj = display_proj.set_index('Player')
     st.session_state.display_proj = display_proj.set_index('Player', drop=True)
+
+    reg_dl_col, pm_dl_col, blank_col = st.columns([2, 2, 6])
+    with reg_dl_col:
+        st.download_button(
+                    label="Export ROO (Regular)",
+                    data=convert_df_to_csv(export_data),
+                    file_name='NBA_ROO_export.csv',
+                    mime='text/csv',
+        )
+    with pm_dl_col:
+        st.download_button(
+                    label="Export ROO (Portfolio Manager)",
+                    data=convert_df_to_csv(export_data_pm),
+                    file_name='NBA_ROO_export.csv',
+                    mime='text/csv',
+        )
         
     with display_container_1:
         display_container = st.empty()
@@ -478,15 +496,7 @@ with tab1:
             st.dataframe(st.session_state.display_proj.style.set_properties(**{'font-size': '6pt'}).background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(roo_format, precision=2),
             height=1000, use_container_width = True)
     
-    with display_dl_container_1:
-            display_dl_container = st.empty()
-            if 'display_proj' in st.session_state:
-                st.download_button(
-                            label="Export Tables",
-                            data=convert_df_to_csv(export_data),
-                            file_name='NBA_ROO_export.csv',
-                            mime='text/csv',
-                )
+    
 
 with tab2:
     with st.expander("Info and Filters"):