Added support for O/U and vegas info to NBA betting model

app.py

@@ -94,7 +94,8 @@ def init_baselines():
     cursor = collection.find()
 
     raw_display = pd.DataFrame(list(cursor))
-    raw_display = raw_display[['Team', 'Opp', 'Team Points', 'Opp Points', 'Proj Total', 'Proj Winner', 'Proj Spread', 'Paydirt W Spread', 'Vegas W Spread', 'Paydirt Win%', 'Paydirt Odds']]
+    raw_display = raw_display[['Team', 'Opp', 'PD Team Points', 'PD Opp Points', 'VEG Team Points', 'VEG Opp Points', 'PD Proj Total', 'VEG Proj Total', 'PD Over%', 'PD Over Odds', 'PD Under%', 'PD Under Odds',
+                               'PD Proj Winner', 'PD Proj Spread', 'PD W Spread', 'VEG W Spread', 'PD Win%', 'PD Odds']]
     raw_display.replace('#DIV/0!', np.nan, inplace=True)
     game_model = raw_display.dropna()
 
@@ -165,11 +166,11 @@ with tab1:
     line_var1 = st.radio('How would you like to display odds?', options = ['Percentage', 'American'], key='line_var1')
     team_frame = game_model
     if line_var1 == 'Percentage':
-        team_frame = team_frame[['Team', 'Opp', 'Team Points', 'Opp Points', 'Proj Total', 'Proj Winner', 'Proj Spread', 'Paydirt W Spread', 'Vegas W Spread', 'Paydirt Win%']]
+        team_frame = team_frame[['Team', 'Opp', 'PD Team Points', 'PD Opp Points', 'VEG Team Points', 'VEG Opp Points', 'PD Proj Total', 'VEG Proj Total', 'PD Over%', 'PD Under%', 'PD Proj Winner', 'PD Proj Spread', 'PD W Spread', 'VEG W Spread', 'PD Win%']]
         team_frame = team_frame.set_index('Team')
         st.dataframe(team_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(game_format, precision=2), use_container_width = True)
     if line_var1 == 'American':
-        team_frame = team_frame[['Team', 'Opp', 'Team Points', 'Opp Points', 'Proj Total', 'Proj Winner', 'Proj Spread', 'Paydirt W Spread', 'Vegas W Spread', 'Paydirt Odds']]
+        team_frame = team_frame[['Team', 'Opp', 'PD Team Points', 'PD Opp Points', 'VEG Team Points', 'VEG Opp Points', 'PD Proj Total', 'VEG Proj Total', 'PD Over Odds', 'PD Under Odds', 'PD Proj Winner', 'PD Proj Spread', 'PD W Spread', 'VEG W Spread', 'PD Odds']]
         team_frame = team_frame.set_index('Team')
         st.dataframe(team_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(game_format, precision=2), use_container_width = True)