added bet365 and made row-wise conditional formatting

app.py

@@ -256,7 +256,7 @@ 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']))
-    bet365_frame = disp_market[disp_market['OddsType'] == 'BET365']
+    bet365_frame = disp_market[disp_market['OddsType'] == 'BET_365']
     bet365_dict = dict(zip(bet365_frame['Name'], bet365_frame['No_Vig_Prop']))
 
     disp_market['FANDUEL NoVig'] = disp_market['Name'].map(fanduel_dict)
@@ -267,7 +267,7 @@ with tab4:
     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)
+    st.dataframe(disp_market.style.background_gradient(axis=1).background_gradient(cmap='RdYlGn').format(prop_format, precision=2), height = 1000, use_container_width = True)
     st.download_button(
         label="Export Market Props",
         data=convert_df_to_csv(disp_market),