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Update app.py
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app.py
CHANGED
@@ -259,7 +259,7 @@ def get_all_players_teams():
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#df_2023 = pd.DataFrame(data=total_list,columns=['player_id','rank_value','full','first','last','average_pick', 'average_cost','display_position','projected_auction_value','editorial_team_abbr','percent_owned'])
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df_2023 = pd.read_csv('df_2023_small.csv',index_col=[0]
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df_2023.columns = ['player_id','rank_value','full','first','last','average_pick', 'average_cost','display_position','projected_auction_value','editorial_team_abbr','percent_owned']
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print('Jack Hughes',df_2023[df_2023.full == 'Jack Hughes'])
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week_dict = yahoo_weeks.set_index('Number')['Week'].sort_index().to_dict()
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#df_2023 = pd.DataFrame(data=total_list,columns=['player_id','rank_value','full','first','last','average_pick', 'average_cost','display_position','projected_auction_value','editorial_team_abbr','percent_owned'])
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df_2023 = pd.read_csv('df_2023_small.csv',index_col=[0],usecols=range(12))
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df_2023.columns = ['player_id','rank_value','full','first','last','average_pick', 'average_cost','display_position','projected_auction_value','editorial_team_abbr','percent_owned']
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print('Jack Hughes',df_2023[df_2023.full == 'Jack Hughes'])
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week_dict = yahoo_weeks.set_index('Number')['Week'].sort_index().to_dict()
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