Refactor data handling for Draftkings and Fanduel; adjust column indexing and add frequency calculations for player data.

src/streamlit_app.py

@@ -227,7 +227,7 @@ if selected_tab == "Regular Slate Contest Sims":
             # Data Copying
             st.session_state.Sim_Winner_Export = Sim_Winner_Frame.copy()
             if sim_site_var1 == 'Draftkings':
-                for col in st.session_state.Sim_Winner_Export.iloc[:, 0:9].columns:
+                for col in st.session_state.Sim_Winner_Export.iloc[:, 0:8].columns:
                     st.session_state.Sim_Winner_Export[col] = st.session_state.Sim_Winner_Export[col].map(dk_id_dict)
             elif sim_site_var1 == 'Fanduel':
                 for col in st.session_state.Sim_Winner_Export.iloc[:, 0:9].columns:
@@ -266,6 +266,21 @@ if selected_tab == "Regular Slate Contest Sims":
             # Data Copying
             st.session_state.Sim_Winner_Export = Sim_Winner_Frame.copy()
             st.session_state.Sim_Winner_Display = Sim_Winner_Frame.copy()    
+        
+        if sim_site_var1 == 'Draftkings':
+            freq_working = pd.DataFrame(np.column_stack(np.unique(st.session_state.freq_copy.iloc[:,0:8].values, return_counts=True)),
+                                            columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
+        elif sim_site_var1 == 'Fanduel':
+            freq_working = pd.DataFrame(np.column_stack(np.unique(st.session_state.freq_copy.iloc[:,0:9].values, return_counts=True)),
+                                            columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
+        freq_working['Freq'] = freq_working['Freq'].astype(int)
+        freq_working['Position'] = freq_working['Player'].map(st.session_state.maps_dict['Pos_map'])
+        freq_working['Salary'] = freq_working['Player'].map(st.session_state.maps_dict['Salary_map'])
+        freq_working['Proj Own'] = freq_working['Player'].map(st.session_state.maps_dict['Own_map']) / 100
+        freq_working['Exposure'] = freq_working['Freq']/(1000)
+        freq_working['Edge'] = freq_working['Exposure'] - freq_working['Proj Own']
+        freq_working['Team'] = freq_working['Player'].map(st.session_state.maps_dict['Team_map'])
+        st.session_state.player_freq = freq_working.copy()
 
         if sim_site_var1 == 'Draftkings':
             pg_working = pd.DataFrame(np.column_stack(np.unique(st.session_state.freq_copy.iloc[:,0:1].values, return_counts=True)),