Update app.py

app.py

@@ -305,10 +305,10 @@ with tab2:
                 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)),
+                    st.session_state.player_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,0:10].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)),
+                elif sim_site_var1 == 'Fanduel':
+                    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'])
@@ -321,7 +321,7 @@ with tab2:
                 if sim_site_var1 == 'Draftkings':
                     st.session_state.sp_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,0:2].values, return_counts=True)),
                                                     columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
-                elif sim_site_var1 == 'Draftkings':
+                elif sim_site_var1 == 'Fanduel':
                     st.session_state.sp_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.sp_freq['Freq'] = st.session_state.sp_freq['Freq'].astype(int)
@@ -332,6 +332,24 @@ with tab2:
                 st.session_state.sp_freq['Edge'] = st.session_state.sp_freq['Exposure'] - st.session_state.sp_freq['Proj Own']
                 st.session_state.sp_freq['Team'] = st.session_state.sp_freq['Player'].map(maps_dict['Team_map'])
 
+                if sim_site_var1 == 'Draftkings':
+                    st.session_state.team_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,12:13].values, return_counts=True)),
+                                                    columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
+                elif sim_site_var1 == 'Fanduel':
+                    st.session_state.team_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,11:12].values, return_counts=True)),
+                                                    columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
+                st.session_state.team_freq['Freq'] = st.session_state.team_freq['Freq'].astype(int)
+                st.session_state.team_freq['Exposure'] = st.session_state.team_freq['Freq']/(1000)
+
+                if sim_site_var1 == 'Draftkings':
+                    st.session_state.stack_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,13:14].values, return_counts=True)),
+                                                    columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
+                elif sim_site_var1 == 'Fanduel':
+                    st.session_state.stack_freq = pd.DataFrame(np.column_stack(np.unique(st.session_state.Sim_Winner_Display.iloc[:,12:13].values, return_counts=True)),
+                                                    columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
+                st.session_state.stack_freq['Freq'] = st.session_state.stack_freq['Freq'].astype(int)
+                st.session_state.stack_freq['Exposure'] = st.session_state.stack_freq['Freq']/(1000)
+
                 with st.container():
                     st.dataframe(st.session_state.Sim_Winner_Frame)
                 
@@ -345,6 +363,7 @@ with tab2:
                                 data=st.session_state.player_freq.to_csv().encode('utf-8'),
                                 file_name='player_freq_export.csv',
                                 mime='text/csv',
+                                key='overall'
                             )
                     with tab2:
                         if 'sp_freq' in st.session_state:
@@ -354,6 +373,27 @@ with tab2:
                                 data=st.session_state.sp_freq.to_csv().encode('utf-8'),
                                 file_name='player_freq_export.csv',
                                 mime='text/csv',
+                                key='sp'
+                            )
+                    with tab3:
+                        if 'team_freq' in st.session_state:
+                            st.dataframe(st.session_state.team_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
+                            st.download_button(
+                                label="Export Exposures",
+                                data=st.session_state.team_freq.to_csv().encode('utf-8'),
+                                file_name='player_freq_export.csv',
+                                mime='text/csv',
+                                key='team'
+                            )
+                    with tab4:
+                        if 'stack_freq' in st.session_state:
+                            st.dataframe(st.session_state.stack_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
+                            st.download_button(
+                                label="Export Exposures",
+                                data=st.session_state.stack_freq.to_csv().encode('utf-8'),
+                                file_name='player_freq_export.csv',
+                                mime='text/csv',
+                                key='stack'
                             )
             else:
                 if sim_site_var1 == 'Draftkings':
@@ -391,8 +431,6 @@ with tab2:
                 # Sorting
                 st.session_state.Sim_Winner_Frame = Sim_Winner_Frame.sort_values(by=['win_count', 'GPP_Proj'], ascending= [False, False]).copy().drop_duplicates(subset='unique_id').head(100)
                 st.session_state.Sim_Winner_Frame.drop(columns='unique_id', inplace=True)
-
-                st.dataframe(st.session_state.Sim_Winner_Frame)
                 
                # Data Copying
                 st.session_state.Sim_Winner_Export = Sim_Winner_Frame.copy()
@@ -459,7 +497,7 @@ with tab2:
                                 data=st.session_state.player_freq.to_csv().encode('utf-8'),
                                 file_name='player_freq_export.csv',
                                 mime='text/csv',
-                                key='player_freq'
+                                key='overall'
                             )
                     with tab2:
                         if 'sp_freq' in st.session_state:
@@ -469,7 +507,7 @@ with tab2:
                                 data=st.session_state.sp_freq.to_csv().encode('utf-8'),
                                 file_name='player_freq_export.csv',
                                 mime='text/csv',
-                                key='sp_freq'
+                                key='sp'
                             )
                     with tab3:
                         if 'team_freq' in st.session_state:
@@ -479,7 +517,7 @@ with tab2:
                                 data=st.session_state.team_freq.to_csv().encode('utf-8'),
                                 file_name='player_freq_export.csv',
                                 mime='text/csv',
-                                key='team_freq'
+                                key='team'
                             )
                     with tab4:
                         if 'stack_freq' in st.session_state:
@@ -489,5 +527,5 @@ with tab2:
                                 data=st.session_state.stack_freq.to_csv().encode('utf-8'),
                                 file_name='player_freq_export.csv',
                                 mime='text/csv',
-                                key='stack_freq'
+                                key='stack'
                             )