Refactor game rotation timeline plot configuration and data display

app.py

@@ -690,17 +690,17 @@ with tab5:
             working_data = game_rot
             display = st.container()
             stats_disp = st.container()
-            check_rotation = team_backlog.sort_values(by=['GAME_DATE', 'Finish'], ascending=False)
-            check_rotation['Resource'] = check_rotation['Task'] + ' - ' + check_rotation['Start'].astype(str)
+            check_rotation = team_backlog.sort_values(by=['GAME_DATE', 'Finish'], ascending=[False, True])
+            check_rotation['Task'] = check_rotation['Task'] + ' - ' + check_rotation['Start'].astype(str) + ' - ' + check_rotation['Finish'].astype(str)
             st.write(check_rotation)
             game_rot_stats = check_rotation.reindex(game_rot_cols,axis="columns")
             game_rot_stats = game_rot_stats.drop_duplicates(subset='backlog_lookup')
 
-            fig = px.timeline(check_rotation, x_start="Start", x_end="Finish", y="Resource", range_x=[0,check_rotation["Finish"].max()], text='delta')
-            fig.update_yaxes(autorange="reversed") 
+            fig = px.timeline(check_rotation, x_start="Start", x_end="Finish", y="PLAYER_NAME", range_x=[0,check_rotation["Finish"].max()])
+            # fig.update_yaxes(autorange="reversed") 
 
-            fig.layout.xaxis.type = 'linear'
-            fig.data[0].x = check_rotation.delta.tolist()
+            # fig.layout.xaxis.type = 'linear'
+            # fig.data[0].x = check_rotation.delta.tolist()
             # Create a color map for each unique player
             player_colors = px.colors.qualitative.Plotly[:len(check_rotation['PLAYER_NAME'].unique())]
             color_map = dict(zip(check_rotation['PLAYER_NAME'].unique(), player_colors))