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Update app.py
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app.py
CHANGED
@@ -294,6 +294,7 @@ yahoo_to_nhl = pd.read_csv("data/yahoo_to_nhl.csv",index_col=[0], encoding='unic
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yahoo_df_scrape = pd.read_csv('df_2023_small.csv',index_col=[0])
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yahoo_df_scrape.percent_owned = yahoo_df_scrape.percent_owned.astype(float)
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yahoo_df_scrape.columns = ['idx','yahoo_id','full','first','last','average_pick','average_auction_cost','projected_auction_value','position','team','percent_owned','status']
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yahoo_df_scrape = yahoo_df_scrape[yahoo_df_scrape.status.isin(['True','DTD'])]
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#percent_roster_dict = yahoo_df_scrape.
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#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'])
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yahoo_df_scrape = pd.read_csv('df_2023_small.csv',index_col=[0])
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yahoo_df_scrape.percent_owned = yahoo_df_scrape.percent_owned.astype(float)
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yahoo_df_scrape.columns = ['idx','yahoo_id','full','first','last','average_pick','average_auction_cost','projected_auction_value','position','team','percent_owned','status']
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yahoo_df_scrape.status = yahoo_df_scrape.status.astype(str)
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yahoo_df_scrape = yahoo_df_scrape[yahoo_df_scrape.status.isin(['True','DTD'])]
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#percent_roster_dict = yahoo_df_scrape.
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#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'])
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