Update app.py

app.py

@@ -964,6 +964,9 @@ 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 = 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}
@@ -972,7 +975,7 @@ with tab2:
                     del FinalPortfolio, insert_port, type_cast_dict
                     
                     # Sorting
-                    st.session_state.Sim_Winner_Frame = Sim_Winner_Frame.sort_values(by='GPP_Proj', ascending=False).head(100)
+                    st.session_state.Sim_Winner_Frame = Sim_Winner_Frame.sort_values(by='win_count', ascending=False).head(100)
                     
                     # Data Copying
                     st.session_state.Sim_Winner_Export = Sim_Winner_Frame
@@ -990,7 +993,7 @@ 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_Frame.iloc[:,0:9].values, return_counts=True)),
+                    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)),
                                                 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'])
@@ -1002,7 +1005,7 @@ 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_Frame.iloc[:,0:1].values, return_counts=True)),
+                    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)),
                                                 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'])
@@ -1014,7 +1017,7 @@ 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_Frame.iloc[:,[1, 2]].values, return_counts=True)),
+                    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)),
                                                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'])
@@ -1026,7 +1029,7 @@ 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_Frame.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_Export.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'])
@@ -1038,7 +1041,7 @@ 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_Frame.iloc[:,[6]].values, return_counts=True)),
+                    st.session_state.te_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Export.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'])
@@ -1050,7 +1053,7 @@ 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_Frame.iloc[:,[7]].values, return_counts=True)),
+                    st.session_state.flex_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Export.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'])
@@ -1062,7 +1065,7 @@ 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_Frame.iloc[:,8:9].values, return_counts=True)),
+                    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)),
                                                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'])