Update app.py

app.py

@@ -343,8 +343,34 @@ with tab2:
 
                 st.dataframe(st.session_state.Sim_Winner_Frame)
                 
-                # # Data Copying
-                # st.session_state.Sim_Winner_Export = Sim_Winner_Frame.copy()
+                # Data Copying
+                st.session_state.Sim_Winner_Export = Sim_Winner_Frame.copy()
                 
-                # # Data Copying
-                # st.session_state.Sim_Winner_Display = Sim_Winner_Frame.copy()
+                # Data Copying
+                st.session_state.Sim_Winner_Display = Sim_Winner_Frame.copy()
+                
+                if sim_site_var1 == 'Draftkings':
+                    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)
+                elif sim_site_var1 == 'Draftkings':
+                    st.session_state.player_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,0:8].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'])
+                st.session_state.player_freq['Salary'] = st.session_state.player_freq['Player'].map(maps_dict['Salary_map'])
+                st.session_state.player_freq['Proj Own'] = st.session_state.player_freq['Player'].map(maps_dict['Small_Own_map']) / 100
+                st.session_state.player_freq['Exposure'] = st.session_state.player_freq['Freq']/(1000)
+                st.session_state.player_freq['Edge'] = st.session_state.player_freq['Exposure'] - st.session_state.player_freq['Proj Own']
+                st.session_state.player_freq['Team'] = st.session_state.player_freq['Player'].map(maps_dict['Team_map'])
+                
+                with st.container():
+                    tab1, tab2, tab3, tab4, tab5, tab6, tab7 = st.tabs(['Overall Exposures', 'QB Exposures', 'RB Exposures', 'WR Exposures', 'TE Exposures', 'FLEX Exposures', 'DST Exposures'])
+                    with tab1:
+                        if 'player_freq' in st.session_state:
+                            st.dataframe(st.session_state.player_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+                            st.download_button(
+                                label="Export Exposures",
+                                data=st.session_state.player_freq.to_csv().encode('utf-8'),
+                                file_name='player_freq_export.csv',
+                                mime='text/csv',
+                            )