Update app.py

app.py

@@ -288,13 +288,13 @@ team_games.team_abv = team_games.team.map(team_abv.set_index('team_name').team_a
 team_games.team_abb = team_games.team_abv.replace({'LAK':'L.A','SJS':'S.J','NJD':'N.J','TBL':'T.B'})
 yahoo_to_nhl = pd.read_csv("data/yahoo_to_nhl.csv",index_col=[0], encoding='unicode_escape')
 
-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])
 
 
-yahoo_df_scrape = pd.read_csv('df_2023_small.csv',index_col=[0],usecols=range(13))
+yahoo_df_scrape = pd.read_csv('df_2023_small.csv',index_col=[0])
 yahoo_df_scrape.percent_owned = yahoo_df_scrape.percent_owned.astype(float)
 yahoo_df_scrape.columns = ['idx','yahoo_id','full','first','last','average_pick','average_auction_cost','projected_auction_value','position','team','percent_owned','status']
-yahoo_df_scrape = yahoo_df_scrape[yahoo_df_scrape.status.isin([True,'DTD'])]
+yahoo_df_scrape = yahoo_df_scrape[yahoo_df_scrape.status.isin(['True','DTD'])]
 #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'])