adding more checks

app.py

@@ -341,23 +341,12 @@ with tab1:
                         }
                 Sim_Winners = sim_contest(1000, st.session_state.working_seed, st.session_state.maps_dict, sharp_split, Contest_Size)
                 Sim_Winner_Frame = pd.DataFrame(np.concatenate(Sim_Winners))
+                st.table(Sim_Winner_Frame)
                 
                 #st.table(Sim_Winner_Frame)
                             
                 # Initial setup
-                # Check the shape of the concatenated data
-                concatenated_data = np.concatenate(Sim_Winners)
-                num_columns = concatenated_data.shape[1]
-                
-                # Adjust column names based on the actual number of columns
-                if num_columns == len(column_names) + 1:
-                    Sim_Winner_Frame = pd.DataFrame(concatenated_data, columns=column_names + ['Fantasy'])
-                elif num_columns == len(column_names):
-                    Sim_Winner_Frame = pd.DataFrame(concatenated_data, columns=column_names)
-                    st.warning("'Fantasy' column is missing from the simulation results.")
-                else:
-                    st.error(f"Mismatch in number of columns. Expected {len(column_names)} or {len(column_names) + 1}, but got {num_columns}.")
-                    Sim_Winner_Frame = pd.DataFrame(concatenated_data)  # Create DataFrame without column names
+                Sim_Winner_Frame = pd.DataFrame(np.concatenate(Sim_Winners), columns=column_names + ['Fantasy'])
                 Sim_Winner_Frame['GPP_Proj'] = (Sim_Winner_Frame['proj'] + Sim_Winner_Frame['Fantasy']) / 2
                 Sim_Winner_Frame['unique_id'] = Sim_Winner_Frame['proj'].astype(str) + Sim_Winner_Frame['salary'].astype(str) + Sim_Winner_Frame['Team'].astype(str) + Sim_Winner_Frame['Secondary'].astype(str)
                 Sim_Winner_Frame = Sim_Winner_Frame.assign(win_count=Sim_Winner_Frame['unique_id'].map(Sim_Winner_Frame['unique_id'].value_counts()))