Update app.py

app.py

@@ -366,7 +366,7 @@ with tab1:
                                                 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(maps_dict['Pos_map'])
-            freq_working['Salary'] = freq_working['Player'].map(maps_dict['Salary_map'])
+            freq_working['Salary'] = freq_working['Player'].map(maps_dict['Salary_map']) / 1.5
             freq_working['Proj Own'] = freq_working['Player'].map(maps_dict['Own_map']) / 100
             freq_working['Exposure'] = freq_working['Freq']/(1000)
             freq_working['Edge'] = freq_working['Exposure'] - freq_working['Proj Own']
@@ -382,11 +382,26 @@ with tab1:
             cpt_working['Freq'] = cpt_working['Freq'].astype(int)
             cpt_working['Position'] = cpt_working['Player'].map(maps_dict['Pos_map'])
             cpt_working['Salary'] = cpt_working['Player'].map(maps_dict['Salary_map'])
-            cpt_working['Proj Own'] = cpt_working['Player'].map(maps_dict['Own_map']) / 100
+            cpt_working['Proj Own'] = cpt_working['Player'].map(maps_dict['Own_map']) / 400
             cpt_working['Exposure'] = cpt_working['Freq']/(1000)
             cpt_working['Edge'] = cpt_working['Exposure'] - cpt_working['Proj Own']
             cpt_working['Team'] = cpt_working['Player'].map(maps_dict['Team_map'])
             st.session_state.sp_freq = cpt_working.copy()
+            
+            if sim_site_var1 == 'Draftkings':
+                flex_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,1:6].values, return_counts=True)),
+                                                columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
+            elif sim_site_var1 == 'Fanduel':
+                flex_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,1:5].values, return_counts=True)),
+                                                columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
+            flex_working['Freq'] = flex_working['Freq'].astype(int)
+            flex_working['Position'] = flex_working['Player'].map(maps_dict['Pos_map'])
+            flex_working['Salary'] = flex_working['Player'].map(maps_dict['Salary_map'])
+            flex_working['Proj Own'] = (flex_working['Player'].map(maps_dict['Own_map']) / 100) - (flex_working['Player'].map(maps_dict['Own_map']) / 400)
+            flex_working['Exposure'] = flex_working['Freq']/(1000)
+            flex_working['Edge'] = flex_working['Exposure'] - flex_working['Proj Own']
+            flex_working['Team'] = flex_working['Player'].map(maps_dict['Team_map'])
+            st.session_state.flex_freq = flex_working.copy()
 
             if sim_site_var1 == 'Draftkings':
                 team_working = pd.DataFrame(np.column_stack(np.unique(freq_copy.iloc[:,8:9].values, return_counts=True)),
@@ -434,7 +449,7 @@ with tab1:
                 )  
                 
         with st.container():
-            tab1, tab2, tab3, tab4 = st.tabs(['Overall Exposures', 'CPT Exposures', 'Team Exposures', 'Stack Size Exposures'])
+            tab1, tab2, tab3, tab4 = st.tabs(['Overall Exposures', 'CPT Exposures', 'FLEX Exposures', 'Team Exposures'])
             with tab1:
                 if 'player_freq' in st.session_state:
                     
@@ -458,24 +473,24 @@ with tab1:
                         key='sp'
                     )
             with tab3:
-                if 'team_freq' in st.session_state:
+                if 'flex_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='team_freq.csv',
+                        data=st.session_state.flex_freq.to_csv().encode('utf-8'),
+                        file_name='flex_freq.csv',
                         mime='text/csv',
-                        key='team'
+                        key='flex'
                     )
             with tab4:
-                if 'stack_freq' in st.session_state:
+                if 'team_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.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.stack_freq.to_csv().encode('utf-8'),
-                        file_name='stack_freq.csv',
+                        data=st.session_state.team_freq.to_csv().encode('utf-8'),
+                        file_name='team_freq.csv',
                         mime='text/csv',
-                        key='stack'
+                        key='team'
                     )