Update app.py

app.py

@@ -125,7 +125,7 @@ df_2023 = pd.DataFrame(data=total_list,columns=['player_id','rank_value','full',
 df_2023['pos_new'] = ['D' if "D" in x else 'F' for x in df_2023['display_position']]
 
 player_games = pd.read_csv('Drive/player_games_cards.csv',index_col=[0]).sort_values(by='date').drop_duplicates(subset=['player_id','date'])
-summary_2023 = pd.read_csv('Drive/summary_2024.csv',index_col=[0])
+summary_2023 = pd.read_csv('Drive/summary_2024.csv',index_col=[0]).drop_duplicates(subset=['player_id'])
 summary_2022 = pd.read_csv('Drive/2022-23/summary_2023.csv',index_col=[0])
 team_games = pd.read_csv('Drive/team_games.csv',index_col=[0])
 nhl_logos = pd.read_csv("NHL Logos - NHL Logos.csv")
@@ -149,7 +149,7 @@ summary_2023.percent_owned = summary_2023.percent_owned.fillna(0)
 
 player_games['game'] = player_games.groupby(['player_id']).cumcount() + 1 
 
-skater_dict = summary_2023.drop_duplicated(subset=['player_id']).set_index('player_id').sort_values(by='Player')
+skater_dict = summary_2023.set_index('player_id').sort_values(by='Player')
 skater_dict['skater_team'] = skater_dict.Player + ' - ' + skater_dict.Team
 skater_dict = skater_dict['skater_team'].to_dict()