Update app.py

app.py

@@ -51,7 +51,7 @@ def init_conn():
 gcservice_account, client, db, DK_seed, FD_seed, MLB_Data = init_conn()
 
 percentages_format = {'Exposure': '{:.2%}'}
-freq_format = {'Exposure': '{:.2%}', 'Proj Own': '{:.2%}'}
+freq_format = {'Exposure': '{:.2%}', 'Proj Own': '{:.2%}', 'Edge': '{:.2%}'}
 dk_columns = ['SP1', 'SP2', 'C', '1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count']
 fd_columns = ['P', 'C_1B', '2B', '3B', 'SS', 'OF1', 'OF2', 'OF3', 'UTIL', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count']
 
@@ -401,10 +401,10 @@ 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'])
@@ -417,7 +417,7 @@ 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)
@@ -428,6 +428,24 @@ 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)
                 
@@ -441,6 +459,7 @@ 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'
                             )
                     with tab2:
                         if 'sp_freq' in st.session_state:
@@ -450,4 +469,25 @@ 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'
+                            )
+                    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_freq'
+                            )
+                    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_freq'
                             )