Update Handbuilder lineup DataFrame in app.py to include 'Order' column for improved player management and display. Adjust related logic to ensure consistent handling of player data across the application, enhancing clarity and user experience.

app.py

@@ -817,7 +817,7 @@ with tab4:
 
     # --- LINEUP STATE ---
     if 'handbuilder_lineup' not in st.session_state:
-        st.session_state['handbuilder_lineup'] = pd.DataFrame(columns=['Player', 'Position', 'Team', 'Salary', 'Median', 'Own%'])
+        st.session_state['handbuilder_lineup'] = pd.DataFrame(columns=['Player', 'Order', 'Position', 'Team', 'Salary', 'Median', 'Own%'])
     if 'handbuilder_select_key' not in st.session_state:
         st.session_state['handbuilder_select_key'] = 0
 
@@ -887,7 +887,7 @@ with tab4:
                     # Add the slot info
                     player_row = player_row.assign(Slot=slot_to_fill)
                     st.session_state['handbuilder_lineup'] = pd.concat(
-                        [st.session_state['handbuilder_lineup'], player_row[['Player', 'Position', 'Team', 'Salary', 'Median', 'Own%', 'Slot']]],
+                        [st.session_state['handbuilder_lineup'], player_row[['Player', 'Order', 'Position', 'Team', 'Salary', 'Median', 'Own%', 'Slot']]],
                         ignore_index=True
                     )
                 st.session_state['handbuilder_select_key'] += 1
@@ -898,7 +898,7 @@ with tab4:
 
         # --- EXPLICIT LINEUP ORDER ---
         lineup_slots = ['SP', 'SP', 'C', '1B', '2B', '3B', 'SS', 'OF', 'OF', 'OF']
-        display_columns = ['Slot', 'Player', 'Position', 'Team', 'Salary', 'Median', 'Own%']
+        display_columns = ['Slot', 'Player', 'Order', 'Position', 'Team', 'Salary', 'Median', 'Own%']
 
         # Prepare a DataFrame for display in the explicit order
         filled_lineup = st.session_state['handbuilder_lineup']
@@ -914,6 +914,7 @@ with tab4:
                 display_rows.append({
                     'Slot': slot,
                     'Player': row['Player'],
+                    'Order': row['Order'],
                     'Position': row['Position'],
                     'Team': row['Team'],
                     'Salary': row['Salary'],
@@ -925,6 +926,7 @@ with tab4:
                 display_rows.append({
                     'Slot': slot,
                     'Player': '',
+                    'Order': '',
                     'Position': '',
                     'Team': '',
                     'Salary': '',
@@ -951,6 +953,7 @@ with tab4:
             summary_row = pd.DataFrame({
                 'Slot': [''],
                 'Player': ['TOTAL'],
+                'Order': [''],
                 'Position': [''],
                 'Team': [most_common_team],
                 'Salary': [total_salary],
@@ -968,5 +971,5 @@ with tab4:
 
     # Optionally, add a button to clear the lineup
     if st.button("Clear Lineup", key='clear_lineup'):
-        st.session_state['handbuilder_lineup'] = pd.DataFrame(columns=['Player', 'Position', 'Team', 'Salary', 'Median', 'Own%', 'Slot'])
+        st.session_state['handbuilder_lineup'] = pd.DataFrame(columns=['Player', 'Position', 'Team', 'Salary', 'Median', 'Own%', 'Slot', 'Order'])
         st.rerun()