Refactor player data display in app.py by simplifying the presentation of statistics. Removed the pivot table and directly displayed player metrics, enhancing clarity and improving the visual representation with background gradients. This change streamlines the data display process while maintaining the integrity of the information presented.

app.py

@@ -358,14 +358,8 @@ if st.button("Run"):
     for player, tab in zip(unique_players, player_tabs):
         with tab:
             player_data = sim_df[sim_df['Player'] == player]
-            # Pivot the table to make Stats the columns
-            pivoted_data = player_data.pivot(columns='Stat', values=['10%', '25%', '50%', '75%', '90%'])
-            # Reorder the index to match the original percentile order
-            pivoted_data = pivoted_data.reindex(['10%', '25%', '50%', '75%', '90%'])
             st.dataframe(
-                pivoted_data
-                .style.background_gradient(axis=0)
-                .background_gradient(cmap='RdYlGn')
-                .format(precision=2),
+                player_data[['Stat', '10%', '25%', '50%', '75%', '90%']]
+                .style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2),
                 use_container_width=True
             )