Update app.py

app.py

@@ -51,6 +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%}'}
 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']
 
@@ -358,19 +359,42 @@ with tab2:
                 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['Proj Own'] = st.session_state.player_freq['Player'].map(maps_dict['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'])
+
+                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':
+                    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)
+                st.session_state.sp_freq['Position'] = st.session_state.sp_freq['Player'].map(maps_dict['Pos_map'])
+                st.session_state.sp_freq['Salary'] = st.session_state.sp_freq['Player'].map(maps_dict['Salary_map'])
+                st.session_state.sp_freq['Proj Own'] = st.session_state.sp_freq['Player'].map(maps_dict['Own_map']) / 100
+                st.session_state.sp_freq['Exposure'] = st.session_state.sp_freq['Freq']/(1000)
+                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'])
                 
                 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'])
+                    tab1, tab2, tab3, tab4 = st.tabs(['Overall Exposures', 'SP Exposures', 'Team Exposures', 'Stack Size 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.dataframe(st.session_state.player_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_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',
+                            )
+                    with tab2:
+                        if 'sp_freq' in st.session_state:
+                            st.dataframe(st.session_state.sp_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
+                            st.download_button(
+                                label="Export Exposures",
+                                data=st.session_state.sp_freq.to_csv().encode('utf-8'),
+                                file_name='player_freq_export.csv',
+                                mime='text/csv',
                             )