Finished Pick6 implementation

app.py

@@ -58,6 +58,7 @@ prop_format = {'L5 Success': '{:.2%}', 'L10_Success': '{:.2%}', 'L20_success': '
                'Implied Over': '{:.2%}', 'Implied Under': '{:.2%}', 'Over Edge': '{:.2%}', 'Under Edge': '{:.2%}'}
 prop_table_options = ['NBA_GAME_PLAYER_POINTS', 'NBA_GAME_PLAYER_REBOUNDS', 'NBA_GAME_PLAYER_ASSISTS', 'NBA_GAME_PLAYER_3_POINTERS_MADE', 'NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS', 'NBA_GAME_PLAYER_POINTS_REBOUNDS', 'NBA_GAME_PLAYER_POINTS_ASSISTS', 'NBA_GAME_PLAYER_REBOUNDS_ASSISTS']
 all_sim_vars = ['NBA_GAME_PLAYER_POINTS', 'NBA_GAME_PLAYER_REBOUNDS', 'NBA_GAME_PLAYER_ASSISTS', 'NBA_GAME_PLAYER_3_POINTERS_MADE', 'NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS', 'NBA_GAME_PLAYER_POINTS_REBOUNDS', 'NBA_GAME_PLAYER_POINTS_ASSISTS', 'NBA_GAME_PLAYER_REBOUNDS_ASSISTS']
+pick6_sim_vars = ['Points', 'Rebounds', 'Assists', '3-Pointers Made', 'Points + Assists + Rebounds', 'Points + Assists', 'Points + Rebounds', 'Assists + Rebounds']
 sim_all_hold = pd.DataFrame(columns=['Player', 'Team', 'Book', 'Prop Type', 'Prop', 'Mean_Outcome', 'Imp Over', 'Over%', 'Imp Under', 'Under%', 'Bet?', 'Edge'])
 
 def add_column(df):
@@ -393,14 +394,21 @@ with tab5:
             mime='text/csv',
             key='prop_source',
         )
-        prop_type_var = st.selectbox('Select prop category', options = ['All Props', 'NBA_GAME_PLAYER_POINTS', 'NBA_GAME_PLAYER_REBOUNDS', 'NBA_GAME_PLAYER_ASSISTS', 'NBA_GAME_PLAYER_3_POINTERS_MADE', 'NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS', 'NBA_GAME_PLAYER_POINTS_REBOUNDS', 'NBA_GAME_PLAYER_POINTS_ASSISTS', 'NBA_GAME_PLAYER_REBOUNDS_ASSISTS'])
+        if game_select_var == 'Aggregate':
+            prop_type_var = st.selectbox('Select prop category', options = ['All Props', 'NBA_GAME_PLAYER_POINTS', 'NBA_GAME_PLAYER_REBOUNDS', 'NBA_GAME_PLAYER_ASSISTS', 'NBA_GAME_PLAYER_3_POINTERS_MADE', 'NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS', 'NBA_GAME_PLAYER_POINTS_REBOUNDS', 'NBA_GAME_PLAYER_POINTS_ASSISTS', 'NBA_GAME_PLAYER_REBOUNDS_ASSISTS'])
+        elif game_select_var == 'Pick6':
+            prop_type_var = st.selectbox('Select prop category', options = ['All Props', 'Points', 'Rebounds', 'Assists', '3-Pointers Made', 'Points + Assists + Rebounds', 'Points + Assists', 'Points + Rebounds', 'Assists + Rebounds'])
 
         if st.button('Simulate Prop Category'):
             with col2:
                    
                     with df_hold_container.container():
                         if prop_type_var == 'All Props':
-                            for prop in all_sim_vars:
+                            if game_select_var == 'Aggregate':
+                                sim_vars = ['NBA_GAME_PLAYER_POINTS', 'NBA_GAME_PLAYER_REBOUNDS', 'NBA_GAME_PLAYER_ASSISTS', 'NBA_GAME_PLAYER_3_POINTERS_MADE', 'NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS', 'NBA_GAME_PLAYER_POINTS_REBOUNDS', 'NBA_GAME_PLAYER_POINTS_ASSISTS', 'NBA_GAME_PLAYER_REBOUNDS_ASSISTS']
+                            elif game_select_var == 'Pick6':
+                                sim_vars = ['Points', 'Rebounds', 'Assists', '3-Pointers Made', 'Points + Assists + Rebounds', 'Points + Assists', 'Points + Rebounds', 'Assists + Rebounds']
+                            for prop in sim_vars:
                                 
                                 if game_select_var == 'Aggregate':
                                     prop_df_raw = prop_frame[['Player', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type']]
@@ -508,8 +516,6 @@ with tab5:
                                     final_outcomes = sim_all_hold
                                 
                         elif prop_type_var != 'All Props':
-                            
-                            
                             if game_select_var == 'Aggregate':
                                 prop_df_raw = prop_frame[['Player', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type']]
                             elif game_select_var == 'Pick6':
@@ -520,7 +526,7 @@ with tab5:
                                 if game_select_var == 'Pick6':
                                     books = 'Pick6'
                                 prop_df = prop_df_raw.loc[prop_df_raw['book'] == books]
-                                if prop_type_var == "NBA_GAME_PLAYER_POINTS":
+                                if prop_type_var == "NBA_GAME_PLAYER_POINTS" or prop_type_var == "Points":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_POINTS']
                                     prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
                                     prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -529,7 +535,7 @@ with tab5:
                                     prop_df['Over'] = 1 / prop_df['over_line']
                                     prop_df['Under'] = 1 / prop_df['under_line']
                                     df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS":
+                                elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS" or prop_type_var == "Rebounds":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_REBOUNDS']
                                     prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
                                     prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -538,7 +544,7 @@ with tab5:
                                     prop_df['Over'] = 1 / prop_df['over_line']
                                     prop_df['Under'] = 1 / prop_df['under_line']
                                     df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_ASSISTS":
+                                elif prop_type_var == "NBA_GAME_PLAYER_ASSISTS" or prop_type_var == "Assists":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_ASSISTS']
                                     prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
                                     prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -547,7 +553,7 @@ with tab5:
                                     prop_df['Over'] = 1 / prop_df['over_line']
                                     prop_df['Under'] = 1 / prop_df['under_line']
                                     df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_3_POINTERS_MADE":
+                                elif prop_type_var == "NBA_GAME_PLAYER_3_POINTERS_MADE" or prop_type_var == "3-Pointers Made":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_3_POINTERS_MADE']
                                     prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
                                     prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -556,7 +562,7 @@ with tab5:
                                     prop_df['Over'] = 1 / prop_df['over_line']
                                     prop_df['Under'] = 1 / prop_df['under_line']
                                     df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS":
+                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS" or prop_type_var == "Points + Rebounds + Assists":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS']
                                     prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
                                     prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -565,7 +571,7 @@ with tab5:
                                     prop_df['Over'] = 1 / prop_df['over_line']
                                     prop_df['Under'] = 1 / prop_df['under_line']
                                     df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS":
+                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS" or prop_type_var == "Points + Rebounds":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_POINTS_REBOUNDS']
                                     prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
                                     prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -574,7 +580,7 @@ with tab5:
                                     prop_df['Over'] = 1 / prop_df['over_line']
                                     prop_df['Under'] = 1 / prop_df['under_line']
                                     df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_ASSISTS":
+                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_ASSISTS" or prop_type_var == "Points + Assists":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_POINTS_ASSISTS']
                                     prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
                                     prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -583,7 +589,7 @@ with tab5:
                                     prop_df['Over'] = 1 / prop_df['over_line']
                                     prop_df['Under'] = 1 / prop_df['under_line']
                                     df = pd.merge(player_stats, prop_df, how='left', left_on=['Player'], right_on = ['Player'])
-                                elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS":
+                                elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS" or prop_type_var == "Assists + Rebounds":
                                     prop_df = prop_df.loc[prop_df['prop_type'] == 'NBA_GAME_PLAYER_REBOUNDS_ASSISTS']
                                     prop_df = prop_df[['Player', 'book', 'over_prop', 'over_line', 'under_line']]
                                     prop_df.rename(columns={"over_prop": "Prop"}, inplace = True)
@@ -603,21 +609,21 @@ with tab5:
         
                                 df.replace("", 0, inplace=True)
                                 
-                                if prop_type_var == "NBA_GAME_PLAYER_POINTS":
+                                if prop_type_var == "NBA_GAME_PLAYER_POINTS" or prop_type_var == "Points":
                                     df['Median'] = df['Points']
-                                elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS":
+                                elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS" or prop_type_var == "Rebounds":
                                     df['Median'] = df['Rebounds']
-                                elif prop_type_var == "NBA_GAME_PLAYER_ASSISTS":
+                                elif prop_type_var == "NBA_GAME_PLAYER_ASSISTS" or prop_type_var == "Assists":
                                     df['Median'] = df['Assists']
-                                elif prop_type_var == "NBA_GAME_PLAYER_3_POINTERS_MADE":
+                                elif prop_type_var == "NBA_GAME_PLAYER_3_POINTERS_MADE" or prop_type_var == "3-Pointers Made":
                                     df['Median'] = df['3P']
-                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS":
+                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS_ASSISTS" or prop_type_var == "Points + Rebounds + Assists":
                                     df['Median'] = df['PRA']
-                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS":
+                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_REBOUNDS" or prop_type_var == "Points + Rebounds":
                                     df['Median'] = df['Points'] + df['Rebounds']
-                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_ASSISTS":
+                                elif prop_type_var == "NBA_GAME_PLAYER_POINTS_ASSISTS" or prop_type_var == "Points + Assists":
                                     df['Median'] = df['Points'] + df['Assists']
-                                elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS":
+                                elif prop_type_var == "NBA_GAME_PLAYER_REBOUNDS_ASSISTS" or prop_type_var == "Assists + Rebounds":
                                     df['Median'] = df['Rebounds'] + df['Assists']
                                 
                                 flex_file = df