Update app.py

app.py

@@ -979,6 +979,9 @@ with tab2:
                     # Data Copying
                     st.session_state.Sim_Winner_Export = Sim_Winner_Frame
                     
+                    # Data Copying
+                    st.session_state.Sim_Winner_Display = Sim_Winner_Frame
+                    
                     # Conditional Replacement
                     columns_to_replace = ['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST']
                     
@@ -992,7 +995,7 @@ with tab2:
                     
                     del replace_dict, Sim_Winner_Frame, Sim_Winners
      
-                    st.session_state.player_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Export.iloc[:,0:9].values, return_counts=True)),
+                    st.session_state.player_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,0:9].values, return_counts=True)),
                                                 columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                     st.session_state.player_freq['Freq'] = st.session_state.player_freq['Freq'].astype(int)
                     st.session_state.player_freq['Position'] = st.session_state.player_freq['Player'].map(maps_dict['Pos_map'])
@@ -1004,7 +1007,7 @@ with tab2:
                     for checkVar in range(len(team_list)):
                                         st.session_state.player_freq['Team'] = st.session_state.player_freq['Team'].replace(item_list, team_list)
                     
-                    st.session_state.qb_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Export.iloc[:,0:1].values, return_counts=True)),
+                    st.session_state.qb_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,0:1].values, return_counts=True)),
                                                 columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                     st.session_state.qb_freq['Freq'] = st.session_state.qb_freq['Freq'].astype(int)
                     st.session_state.qb_freq['Position'] = st.session_state.qb_freq['Player'].map(maps_dict['Pos_map'])
@@ -1016,7 +1019,7 @@ with tab2:
                     for checkVar in range(len(team_list)):
                                         st.session_state.qb_freq['Team'] = st.session_state.qb_freq['Team'].replace(item_list, team_list)
     
-                    st.session_state.rb_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Export.iloc[:,[1, 2]].values, return_counts=True)),
+                    st.session_state.rb_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,[1, 2]].values, return_counts=True)),
                                                columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                     st.session_state.rb_freq['Freq'] = st.session_state.rb_freq['Freq'].astype(int)
                     st.session_state.rb_freq['Position'] = st.session_state.rb_freq['Player'].map(maps_dict['Pos_map'])
@@ -1028,7 +1031,7 @@ with tab2:
                     for checkVar in range(len(team_list)):
                                         st.session_state.rb_freq['Team'] = st.session_state.rb_freq['Team'].replace(item_list, team_list)
                     
-                    st.session_state.wr_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Export.iloc[:,[3, 4, 5]].values, return_counts=True)),
+                    st.session_state.wr_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,[3, 4, 5]].values, return_counts=True)),
                                                columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                     st.session_state.wr_freq['Freq'] = st.session_state.wr_freq['Freq'].astype(int)
                     st.session_state.wr_freq['Position'] = st.session_state.wr_freq['Player'].map(maps_dict['Pos_map'])
@@ -1040,7 +1043,7 @@ with tab2:
                     for checkVar in range(len(team_list)):
                                         st.session_state.wr_freq['Team'] = st.session_state.wr_freq['Team'].replace(item_list, team_list)
                     
-                    st.session_state.te_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Export.iloc[:,[6]].values, return_counts=True)),
+                    st.session_state.te_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,[6]].values, return_counts=True)),
                                                columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                     st.session_state.te_freq['Freq'] = st.session_state.te_freq['Freq'].astype(int)
                     st.session_state.te_freq['Position'] = st.session_state.te_freq['Player'].map(maps_dict['Pos_map'])
@@ -1052,7 +1055,7 @@ with tab2:
                     for checkVar in range(len(team_list)):
                                         st.session_state.te_freq['Team'] = st.session_state.te_freq['Team'].replace(item_list, team_list)
                     
-                    st.session_state.flex_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Export.iloc[:,[7]].values, return_counts=True)),
+                    st.session_state.flex_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,[7]].values, return_counts=True)),
                                                columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                     st.session_state.flex_freq['Freq'] = st.session_state.flex_freq['Freq'].astype(int)
                     st.session_state.flex_freq['Position'] = st.session_state.flex_freq['Player'].map(maps_dict['Pos_map'])
@@ -1064,7 +1067,7 @@ with tab2:
                     for checkVar in range(len(team_list)):
                                         st.session_state.flex_freq['Team'] = st.session_state.flex_freq['Team'].replace(item_list, team_list)
                     
-                    st.session_state.dst_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Export.iloc[:,8:9].values, return_counts=True)),
+                    st.session_state.dst_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,8:9].values, return_counts=True)),
                                                columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                     st.session_state.dst_freq['Freq'] = st.session_state.dst_freq['Freq'].astype(int)
                     st.session_state.dst_freq['Position'] = st.session_state.dst_freq['Player'].map(maps_dict['Pos_map'])