Improve portfolio data handling by adding dropna and reset_index methods to clean and standardize DataFrames after loading. This ensures that empty rows are removed and indices are reset for both export and portfolio DataFrames.

app.py

@@ -602,6 +602,12 @@ if selected_tab == 'Data Load':
                     st.session_state['export_portfolio'] = portfolio_file
                     st.session_state['portfolio'] = portfolio_file
 
+                    st.session_state['export_portfolio'] = st.session_state['export_portfolio'].dropna(how='all')
+                    st.session_state['export_portfolio'] = st.session_state['export_portfolio'].reset_index(drop=True)
+
+                    st.session_state['portfolio'] = st.session_state['portfolio'].dropna(how='all')
+                    st.session_state['portfolio'] = st.session_state['portfolio'].reset_index(drop=True)
+
                 elif upload_toggle == 'SaberSim (Just IDs)':
                     st.session_state['export_portfolio'], st.session_state['portfolio'] = load_ss_file(portfolio_file, st.session_state['csv_file'], site_var, type_var, sport_var)
                     st.session_state['export_portfolio'] = st.session_state['export_portfolio'].dropna(how='all')