Update app.py

app.py

@@ -964,9 +964,8 @@ with tab2:
                     # Initial setup
                     Sim_Winner_Frame = pd.DataFrame(np.concatenate(Sim_Winners), columns=FinalPortfolio.columns.tolist() + ['Fantasy'])
                     Sim_Winner_Frame['GPP_Proj'] = (Sim_Winner_Frame['Projection'] + Sim_Winner_Frame['Fantasy']) / 2
-                    Sim_Winner_Frame['unique_id'] = str(Sim_Winner_Frame['Projection']) + str(Sim_Winner_Frame['Salary']) + str(Sim_Winner_Frame['Own'])
+                    Sim_Winner_Frame['unique_id'] = Sim_Winner_Frame['Projection'].astype(str) + Sim_Winner_Frame['Salary'].astype(str) + Sim_Winner_Frame['Own'].astype(str)
                     Sim_Winner_Frame = Sim_Winner_Frame.assign(win_count=Sim_Winner_Frame['unique_id'].map(Sim_Winner_Frame['unique_id'].value_counts()))
-                    Sim_Winner_Frame = Sim_Winner_Frame.drop('unique_id', axis=1)
                     
                     # Type Casting
                     type_cast_dict = {'Salary': int, 'Projection': np.float16, 'Fantasy': np.float16, 'GPP_Proj': np.float16}