applied no-vig, removed consensus

app.py

@@ -256,15 +256,15 @@ with tab4:
     draftkings_dict = dict(zip(draftkings_frame['Name'], draftkings_frame['No_Vig_Prop']))
     mgm_frame = disp_market[disp_market['OddsType'] == 'MGM']
     mgm_dict = dict(zip(mgm_frame['Name'], mgm_frame['No_Vig_Prop']))
-    consensus_frame = disp_market[disp_market['OddsType'] == 'CONSENSUS']
-    consensus_dict = dict(zip(consensus_frame['Name'], consensus_frame['No_Vig_Prop']))
+    bet365_frame = disp_market[disp_market['OddsType'] == 'BET365']
+    bet365_dict = dict(zip(bet365_frame['Name'], bet365_frame['No_Vig_Prop']))
 
-    disp_market['FANDUEL Prop'] = disp_market['Name'].map(fanduel_dict)
-    disp_market['DRAFTKINGS Prop'] = disp_market['Name'].map(draftkings_dict)
-    disp_market['MGM Prop'] = disp_market['Name'].map(mgm_dict)
-    disp_market['CONSENSUS Prop'] = disp_market['Name'].map(consensus_dict)
+    disp_market['FANDUEL NoVig'] = disp_market['Name'].map(fanduel_dict)
+    disp_market['DRAFTKINGS NoVig'] = disp_market['Name'].map(draftkings_dict)
+    disp_market['MGM NoVig'] = disp_market['Name'].map(mgm_dict)
+    disp_market['BET365 NoVig'] = disp_market['Name'].map(bet365_dict)
 
-    disp_market = disp_market[['Name', 'Position', 'PropType', 'FANDUEL Prop', 'DRAFTKINGS Prop', 'MGM Prop', 'CONSENSUS Prop']]
+    disp_market = disp_market[['Name', 'Position', 'PropType', 'FANDUEL NoVig', 'DRAFTKINGS NoVig', 'MGM NoVig', 'BET365 NoVig']]
     disp_market = disp_market.drop_duplicates(subset=['Name', 'PropType'], keep='first', ignore_index=True)
 
     st.dataframe(disp_market.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(prop_format, precision=2), height = 1000, use_container_width = True)