Update app.py

app.py

@@ -291,9 +291,9 @@ yahoo_df_scrape = pd.read_csv('df_2023_small.csv',index_col=[0])
 
 yahoo_df_scrape = pd.read_csv('df_2023_small.csv',index_col=[0],usecols=range(12))
 yahoo_df_scrape.percent_owned = yahoo_df_scrape.percent_owned.astype(float)
-yahoo_df_scrape.columns = ['yahoo_id','idx','full','first','last','average_pick','average_auction_cost','projected_auction_value','position','team','percent_owned']
-
+yahoo_df_scrape.columns = ['idx','yahoo_id','full','first','last','average_pick','average_auction_cost','projected_auction_value','position','team','percent_owned']
 
+#percent_roster_dict = yahoo_df_scrape.
 #yahoo_df_scrape = pd.DataFrame(total_list,columns=['yahoo_id','idx','full','first','last','average_pick','average_auction_cost','projected_auction_value','position','team','percent_owned'])
 
 yahoo_final_df = yahoo_df_scrape.merge(right=yahoo_to_nhl,left_on='yahoo_id',right_index=True,how='left',suffixes=['','_x'])
@@ -307,7 +307,7 @@ player_games.loc[player_games.position.isna(),'position'] = player_games.loc[pla
 
 player_games.position = player_games.position.replace({'L':'LW','R':'RW'})
 print('Jack Hughes',player_games[player_games.Player == 'Jack Hughes'].percent_owned)
-#player_games.percent_owned = player_games.percent_owned.fillna(0)
+player_games.percent_owned = player_games.percent_owned.fillna(0)
 
 
 player_games['S_H_B'] = player_games['Shots'] + player_games['Hits'] + player_games['Shots Blocked']