Implement conditional display logic in app.py for 'Simple' and 'Advanced' views, allowing users to customize the dataframe output based on their preferences, enhancing data presentation and user experience.

app.py

@@ -158,7 +158,11 @@ with tab2:
             display_data = display_data[display_data['slate'] == 'FD SD1']
     
     display_data = display_data.drop(columns=['site', 'slate', 'version', 'timestamp'])
-    st.dataframe(display_data.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(player_roo_format, precision=2), height=750, use_container_width = True, hide_index=True)
+    if view_var == "Simple":
+        display_data = display_data[['Player', 'Position', 'Salary', 'Median', 'Ceiling', 'Own']]
+        st.dataframe(display_data.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(player_roo_format, precision=2), height=750, use_container_width = True, hide_index=True)
+    elif view_var == "Advanced":
+        st.dataframe(display_data.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(player_roo_format, precision=2), height=750, use_container_width = True, hide_index=True)
 
 with tab3:
     with st.expander("Info and Filters"):