Update app.py

app.py

@@ -76,7 +76,7 @@ t_stamp = f"Last Update: " + str(timestamp) + f" CST"
 prop_table_options = ['NFL_GAME_PLAYER_PASSING_YARDS', 'NFL_GAME_PLAYER_RUSHING_YARDS', 'NFL_GAME_PLAYER_RECEIVING_YARDS', 'NFL_GAME_PLAYER_RECEIVING_RECEPTIONS', 'NFL_GAME_PLAYER_RUSHING_ATTEMPTS', 'NFL_GAME_PLAYER_PASSING_ATTEMPTS']
 prop_format = {'L3 Success': '{:.2%}', 'L6_Success': '{:.2%}', 'L10_success': '{:.2%}', 'Trending Over': '{:.2%}', 'Trending Under': '{:.2%}',
                'Implied Over': '{:.2%}', 'Implied Under': '{:.2%}', 'Over Edge': '{:.2%}', 'Under Edge': '{:.2%}'}
-all_sim_vars = ['pass_yards', 'rush_yards', 'rec_yards', 'receptions', 'rush_attempts']
+all_sim_vars = ['NFL_GAME_PLAYER_PASSING_YARDS', 'NFL_GAME_PLAYER_RUSHING_YARDS', 'NFL_GAME_PLAYER_RECEIVING_YARDS', 'NFL_GAME_PLAYER_RECEIVING_RECEPTIONS', 'NFL_GAME_PLAYER_RUSHING_ATTEMPTS', 'NFL_GAME_PLAYER_PASSING_ATTEMPTS']
 sim_all_hold = pd.DataFrame(columns=['Player', 'Team', 'Prop type', 'Prop', 'Mean_Outcome', 'Imp Over', 'Over%', 'Imp Under', 'Under%', 'Bet?', 'Edge'])
 
 tab1, tab2, tab3, tab4, tab5, tab6 = st.tabs(["Game Betting Model", "QB Projections", "RB/WR/TE Projections", "Player Prop Trends", "Player Prop Simulations", "Stat Specific Simulations"])
@@ -248,6 +248,8 @@ with tab5:
 
                         player_var = df.loc[df['Player'] == player_check]
                         player_var = player_var.reset_index()
+                        
+                        ['NFL_GAME_PLAYER_PASSING_YARDS', 'NFL_GAME_PLAYER_RUSHING_YARDS', 'NFL_GAME_PLAYER_RECEIVING_YARDS', 'NFL_GAME_PLAYER_RECEIVING_RECEPTIONS', 'NFL_GAME_PLAYER_RUSHING_ATTEMPTS', 'NFL_GAME_PLAYER_PASSING_ATTEMPTS']
 
                         if prop_type_var == 'Pass Yards':
                             df['Median'] = df['pass_yards']