step to finalize market table

app.py

@@ -226,6 +226,19 @@ with tab4:
     market_type = st.selectbox('Select type of prop are you wanting to view', options = prop_table_options, key = 'market_type_key')
     disp_market = market_props.copy()
     disp_market = disp_market[disp_market['PropType'] == market_type]
+    disp_market['FANDUEL_Proj'] = disp_market.apply(lambda x: x['Projection'] if x['OddsType'] == 'FANDUEL' else None, axis=1)
+    disp_market['DRAFTKINGS_Proj'] = disp_market.apply(lambda x: x['Projection'] if x['OddsType'] == 'DRAFTKINGS' else None, axis=1)
+    disp_market['MGM_Proj'] = disp_market.apply(lambda x: x['Projection'] if x['OddsType'] == 'MGM' else None, axis=1)
+    disp_market['CONSENSUS_Proj'] = disp_market.apply(lambda x: x['Projection'] if x['OddsType'] == 'CONSENSUS' else None, axis=1)
+    
+    # Fill forward within groups to populate projection columns
+    disp_market = disp_market.groupby(['Player', 'PropType']).fillna(method='ffill').fillna(method='bfill')
+    
+    # Keep only one row per player/prop combination
+    disp_market = disp_market.drop_duplicates(subset=['Player', 'PropType'], keep='first')
+    
+    # Select and order columns
+    disp_market = disp_market[['Player', 'Team', 'PropType', 'FANDUEL_Proj', 'DRAFTKINGS_Proj', 'MGM_Proj', 'CONSENSUS_Proj']]
 
     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.download_button(