Refactor player comparison logic in app.py and create_player_comparison.py

- Updated app.py to store the player comparison DataFrame in a local variable instead of session state, improving code clarity and reducing session state dependency.
- Adjusted the calculation of player exposure percentages in create_player_comparison.py to ensure accuracy by using the correct subset of data for each user.

app.py

@@ -436,8 +436,8 @@ with tab2:
                         else:
                             comp_player_select = comp_player_select
                 if comp_player_var == 'Yes':
-                    st.session_state['player_frame'] = create_player_comparison(st.session_state['display_contest_info'], st.session_state['player_columns'], comp_player_select)
-                    st.dataframe(st.session_state['player_frame'].style.background_gradient(cmap='RdYlGn', axis=1).format(formatter='{:.2%}', subset=st.session_state['player_frame'].iloc[:, 2:].select_dtypes(include=['number']).columns), hide_index=True)
+                    player_exp_comp = create_player_comparison(st.session_state['display_contest_info'], st.session_state['player_columns'], comp_player_select)
+                    st.dataframe(player_exp_comp.style.background_gradient(cmap='RdYlGn', axis=1).format(formatter='{:.2%}', subset=player_exp_comp.select_dtypes(include=['number']).columns), hide_index=True)
                 else:
                     if st.session_state['entry_parse_var'] == 'All':
 
@@ -458,7 +458,6 @@ with tab2:
                             format(formatter='{:.2%}', subset=st.session_state['player_frame'].iloc[:, 2:].select_dtypes(include=['number']).columns),
                             hide_index=True)
                     else:
-
                         st.session_state['player_frame'] = create_player_exposures(st.session_state['display_contest_info'], st.session_state['player_columns'], st.session_state['entry_names'])
                         hold_frame = st.session_state['player_frame'].copy()
                         if sport_select == 'GOLF':

global_func/create_player_comparison.py

@@ -14,7 +14,7 @@ def create_player_comparison(df: pd.DataFrame, player_columns: list, entrants: l
         overall_players = pd.Series(list(df[df['BaseName'] == each_user][player_columns].values.flatten())).value_counts()
     
         set_frame = overall_players.to_frame().reset_index().rename(columns={'index': 'Player', 'count': 'Count'})
-        set_frame['Percent'] = set_frame['Count'] / len(overall_players)
+        set_frame['Percent'] = set_frame['Count'] / len(overall_players[overall_players['BaseName'] == each_user])
         set_frame = set_frame[['Player', 'Percent']]
         set_frame = set_frame.rename(columns={'Percent': f'Exposure {each_user}'})
         player_frame = pd.merge(player_frame, set_frame, on='Player', how='outer')