Refactor lineup display logic in app.py to ensure that the player data is only processed when the filled lineup is not empty. This change enhances the efficiency of the display logic and maintains clarity in the representation of player statistics.

app.py

@@ -903,35 +903,35 @@ with tab4:
         filled_lineup = st.session_state['handbuilder_lineup']
         display_rows = []
         used_indices = set()
-
-        for slot in lineup_slots:
-            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'],
-                    'Order': row['Order'],
-                    'Position': row['Position'],
-                    'Team': row['Team'],
-                    'Salary': row['Salary'],
-                    'Median': row['Median'],
-                    '2x%': row['2x%'],
-                    'Own%': row['Own%']
-                })
-            else:
-                display_rows.append({
-                    'Slot': slot,
-                    'Player': '',
-                    'Order': np.nan,
-                    'Position': '',
-                    'Team': '',
-                    'Salary': np.nan,
-                    'Median': np.nan,
-                    '2x%': np.nan,
-                    'Own%': np.nan
-                })
+        if not filled_lineup.empty:
+            for slot in lineup_slots:
+                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'],
+                        'Order': row['Order'],
+                        'Position': row['Position'],
+                        'Team': row['Team'],
+                        'Salary': row['Salary'],
+                        'Median': row['Median'],
+                        '2x%': row['2x%'],
+                        'Own%': row['Own%']
+                    })
+                else:
+                    display_rows.append({
+                        'Slot': slot,
+                        'Player': '',
+                        'Order': np.nan,
+                        'Position': '',
+                        'Team': '',
+                        'Salary': np.nan,
+                        'Median': np.nan,
+                        '2x%': np.nan,
+                        'Own%': np.nan
+                    })
 
         lineup_display_df = pd.DataFrame(display_rows, columns=display_columns)