Update app.py

app.py

@@ -126,6 +126,7 @@ df_2023['pos_new'] = ['D' if "D" in x else 'F' for x in df_2023['display_positio
 
 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])#.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")
@@ -449,7 +450,7 @@ def server(input, output, session):
         #test.loc[name == test.Player].reset_index().TOI[0]/1.5
         min_time = min(math.floor(summary_2023.loc[player_id == summary_2023.player_id].reset_index().TOI[0]/100)*100,summary_2023.GP.max()*10)
         # min_time = min(math.floor(test.loc[name == test.Player].reset_index().TOI[0]/100)*100,test.GP.max()*10)
-        summary_2023 = summary_2023.drop_duplicates(subset=['player_id'])
+        #summary_2023 = summary_2023.drop_duplicates(subset=['player_id'])
         test_filter = summary_2023[(summary_2023.TOI >= min_time)&(summary_2023.pos == summary_2023.loc[player_id == summary_2023.player_id].reset_index().pos[0])]
         test_filter['Goals/GP'] = test_filter['Goals']/test_filter['GP']
         test_filter['Total Assists/GP'] = test_filter['Assists']/test_filter['GP']