Enhance lineup display in Handbuilder tab of app.py by implementing an explicit order for player slots. Update DataFrame to show filled and unfilled slots clearly, and adjust summary calculations to ensure accurate representation of total salary, median, and ownership percentage. This improves user experience and data clarity.

app.py

@@ -895,36 +895,74 @@ with tab4:
 
     with col1:
         st.subheader("Lineup")
+
+        # --- EXPLICIT LINEUP ORDER ---
+        lineup_slots = ['SP', 'SP', 'C', '1B', '2B', '3B', 'SS', 'OF', 'OF', 'OF']
+        display_columns = ['Slot', 'Player', 'Position', 'Team', 'Salary', 'Median', 'Own%']
+
+        # Prepare a DataFrame for display in the explicit order
+        filled_lineup = st.session_state['handbuilder_lineup']
+        display_rows = []
+        used_indices = set()
+
+        for slot in lineup_slots:
+            # Find the first player in the lineup who fills this slot and hasn't been used yet
+            match = filled_lineup[(filled_lineup['Slot'] == slot) & (~filled_lineup.index.isin(used_indices))]
+            if not match.empty:
+                row = match.iloc[0]
+                used_indices.add(match.index[0])
+                display_rows.append({
+                    'Slot': slot,
+                    'Player': row['Player'],
+                    'Position': row['Position'],
+                    'Team': row['Team'],
+                    'Salary': row['Salary'],
+                    'Median': row['Median'],
+                    'Own%': row['Own%']
+                })
+            else:
+                # Blank row for unfilled slot
+                display_rows.append({
+                    'Slot': slot,
+                    'Player': '',
+                    'Position': '',
+                    'Team': '',
+                    'Salary': '',
+                    'Median': '',
+                    'Own%': ''
+                })
+
+        lineup_display_df = pd.DataFrame(display_rows, columns=display_columns)
+
         st.dataframe(
-            st.session_state['handbuilder_lineup'][['Player', 'Slot', 'Position', 'Team', 'Salary', 'Median', 'Own%']],
+            lineup_display_df,
             use_container_width=True,
-            height=450,
+            height=445,
             hide_index=True
         )
 
         # --- SUMMARY ROW ---
-        lineup = st.session_state['handbuilder_lineup']
-        if not lineup.empty:
-            total_salary = lineup['Salary'].sum()
-            total_median = lineup['Median'].sum()
-            total_own = lineup['Own%'].sum()
-            most_common_team = lineup['Team'].mode()[0] if not lineup['Team'].mode().empty else ""
+        if not filled_lineup.empty:
+            total_salary = filled_lineup['Salary'].sum()
+            total_median = filled_lineup['Median'].sum()
+            total_own = filled_lineup['Own%'].sum()
+            most_common_team = filled_lineup['Team'].mode()[0] if not filled_lineup['Team'].mode().empty else ""
 
             summary_row = pd.DataFrame({
-                'Player': ['TOTAL'],
                 'Slot': [''],
+                'Player': ['TOTAL'],
                 'Position': [''],
                 'Team': [most_common_team],
                 'Salary': [total_salary],
                 'Median': [total_median],
                 'Own%': [total_own]
             })
-            summary_row = summary_row[lineup[['Player', 'Slot', 'Position', 'Team', 'Salary', 'Median', 'Own%']].columns]
+            summary_row = summary_row[display_columns]
 
             st.dataframe(
                 summary_row,
                 use_container_width=True,
-                height=50,
+                height=45,
                 hide_index=True
             )