Refactor overall simulation data handling in app.py. Updated overall_sim_df to drop duplicate entries based on 'Player', 'Position', and 'Stat', and set 'Player' as the index for improved data organization. Adjusted the placement of the "Individual Game Simulations" subheader for better clarity in the user interface. These changes enhance the readability and usability of simulation results.

app.py

@@ -424,7 +424,8 @@ if st.button("Run"):
                 '90%': percentiles[stat][4]
             })
     
-    overall_sim_df = pd.DataFrame(overall_sim_results)
+    overall_sim_df = pd.DataFrame(overall_sim_results).drop_duplicates(subset = ['Player', 'Position', 'Stat'])
+    overall_sim_df = overall_sim_df.set_index(['Player'])
 
     tab1, tab2 = st.tabs(["Team Data", "Opponent Data"])
     with tab1:
@@ -435,10 +436,10 @@ if st.button("Run"):
     with tab2:
         st.dataframe(opp_boost.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
 
+    st.subheader("Individual Game Simulations")
     unique_players = sim_df['Player'].unique().tolist()
     player_tabs = st.tabs(unique_players)
     
-    st.subheader("Individual Game Simulations")
     for player, tab in zip(unique_players, player_tabs):
         with tab:
             player_data = sim_df[sim_df['Player'] == player]