Optimize game rotation timeline visualization with refined sorting and data processing

app.py

@@ -752,14 +752,17 @@ with tab5:
             display = st.container()
             stats_disp = st.container()
             check_rotation = working_data[working_data['backlog_lookup'] == game_id_var]
-            check_rotation = team_backlog.sort_values(by=['GAME_DATE', 'Finish'], ascending=[False, True])
-            
+            check_rotation = check_rotation.sort_values(by='Start', ascending=True)
+            game_rot_stats = check_rotation.reindex(game_rot_cols,axis="columns")
+            game_rot_stats = game_rot_stats.drop_duplicates(subset='PLAYER_NAME')
+
+            # Create figure
             fig = go.Figure()
             
-            # Add bars for each shift
+            # Add bars for each rotation shift
             for idx, row in check_rotation.iterrows():
                 fig.add_trace(go.Bar(
-                    x=[row['minutes']],  # Width of bar
+                    x=[row['Finish'] - row['Start']],  # Width of bar
                     y=[row['Task']],
                     base=row['Start'],  # Start position of bar
                     orientation='h',
@@ -785,10 +788,6 @@ with tab5:
             fig.add_vline(x=12, line_width=3, line_dash="dash", line_color="green")
             fig.add_vline(x=24, line_width=3, line_dash="dash", line_color="green")
             fig.add_vline(x=36, line_width=3, line_dash="dash", line_color="green")
-
-            game_rot_stats = check_rotation.reindex(game_rot_cols,axis="columns")
-            game_rot_stats = game_rot_stats.drop_duplicates(subset='PLAYER_NAME')
-
             # pages = pages.set_index('Player')
             display.plotly_chart(fig, use_container_width=True)
             stats_disp.dataframe(game_rot_stats.style.format(precision=2), hide_index=True, use_container_width = True)