Update app.py

app.py

@@ -1035,7 +1035,7 @@ with tab2:
                 # Conditional Replacement
                 columns_to_replace = ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'FLEX', 'S_FLEX']
                 
-                player_freq = pd.DataFrame(np.column_stack(np.unique(Sim_Winner_Frame.iloc[:,0:8].values, return_counts=True)),
+                player_freq = pd.DataFrame(np.column_stack(np.unique(Sim_Winner_Frame.iloc[:,[0, 1, 2, 3, 4, 5, 6, 7]].values, return_counts=True)),
                                             columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                 player_freq['Freq'] = player_freq['Freq'].astype(int)
                 player_freq['Position'] = player_freq['Player'].map(maps_dict['Pos_map'])
@@ -1091,7 +1091,7 @@ with tab2:
 
                 wr_freq = wr_freq[['Player', 'Team', 'Position', 'Salary', 'Proj Own', 'Exposure', 'Edge']]
                 
-                flex_freq = pd.DataFrame(np.column_stack(np.unique(Sim_Winner_Frame.iloc[:,5:6].values, return_counts=True)),
+                flex_freq = pd.DataFrame(np.column_stack(np.unique(Sim_Winner_Frame.iloc[:,[6]].values, return_counts=True)),
                                            columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                 flex_freq['Freq'] = flex_freq['Freq'].astype(int)
                 flex_freq['Position'] = flex_freq['Player'].map(maps_dict['Pos_map'])
@@ -1105,7 +1105,7 @@ with tab2:
 
                 flex_freq = flex_freq[['Player', 'Team', 'Position', 'Salary', 'Proj Own', 'Exposure', 'Edge']]
                 
-                dst_freq = pd.DataFrame(np.column_stack(np.unique(Sim_Winner_Frame.iloc[:,6:7].values, return_counts=True)),
+                dst_freq = pd.DataFrame(np.column_stack(np.unique(Sim_Winner_Frame.iloc[:,[7]].values, return_counts=True)),
                                            columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                 dst_freq['Freq'] = dst_freq['Freq'].astype(int)
                 dst_freq['Position'] = dst_freq['Player'].map(maps_dict['Pos_map'])