nhl_schedule

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nesticot commited on Nov 5, 2023

Commit

b166b68

1 Parent(s): eca0369

Update app.py

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Files changed (1) hide show

app.py +4 -4

app.py CHANGED Viewed

@@ -783,7 +783,7 @@ def server(input, output, session):
         df_dated = player_games[(pd.to_datetime(player_games.date) >= pd.to_datetime(start_date))&(pd.to_datetime(player_games.date) <= pd.to_datetime(end_date))]
-        team_top = test_df[test_df.Score!=''][np.array(test_df[test_df.Score!=''].Score) >= np.array(test_df[test_df.Score!='']['Score']).max()*0.8]['Team'].values
         if(len(team_top)) < 5:
             team_top = test_df.Team.values[:5]
@@ -921,7 +921,7 @@ def server(input, output, session):
         df_dated = player_games[(pd.to_datetime(player_games.date) >= pd.to_datetime(start_date))&(pd.to_datetime(player_games.date) <= pd.to_datetime(end_date))]
-        team_top = test_df[test_df.Score!=''][np.array(test_df[test_df.Score!=''].Score) >= np.array(test_df[test_df.Score!='']['Score']).max()*0.8]['Team'].values
         if(len(team_top)) < 5:
             team_top = test_df.Team.values[:5]
@@ -1059,7 +1059,7 @@ def server(input, output, session):
         df_dated = player_games[(pd.to_datetime(player_games.date) >= pd.to_datetime(start_date))&(pd.to_datetime(player_games.date) <= pd.to_datetime(end_date))]
-        team_top = test_df[test_df.Score!=''][np.array(test_df[test_df.Score!=''].Score) >= np.array(test_df[test_df.Score!='']['Score']).max()*0.8]['Team'].values
         if(len(team_top)) < 5:
             team_top = test_df.Team.values[:5]
@@ -1199,7 +1199,7 @@ def server(input, output, session):
         df_dated = player_games[(pd.to_datetime(player_games.date) >= pd.to_datetime(start_date))&(pd.to_datetime(player_games.date) <= pd.to_datetime(end_date))]
-        team_top = test_df[test_df.Score!=''][np.array(test_df[test_df.Score!=''].Score) >= np.array(test_df[test_df.Score!='']['Score']).max()*0.8]['Team'].values
         if(len(team_top)) < 5:
             team_top = test_df.Team.values[:5]

         df_dated = player_games[(pd.to_datetime(player_games.date) >= pd.to_datetime(start_date))&(pd.to_datetime(player_games.date) <= pd.to_datetime(end_date))]
+        team_top = test_df[test_df.Score!=''][np.array(test_df[test_df.Score!=''].Score) >= np.array(test_df[test_df.Score!='']['Score']).max()*0.75]['Team'].values
         if(len(team_top)) < 5:
             team_top = test_df.Team.values[:5]
         df_dated = player_games[(pd.to_datetime(player_games.date) >= pd.to_datetime(start_date))&(pd.to_datetime(player_games.date) <= pd.to_datetime(end_date))]
+        team_top = test_df[test_df.Score!=''][np.array(test_df[test_df.Score!=''].Score) >= np.array(test_df[test_df.Score!='']['Score']).max()*0.75]['Team'].values
         if(len(team_top)) < 5:
             team_top = test_df.Team.values[:5]
         df_dated = player_games[(pd.to_datetime(player_games.date) >= pd.to_datetime(start_date))&(pd.to_datetime(player_games.date) <= pd.to_datetime(end_date))]
+        team_top = test_df[test_df.Score!=''][np.array(test_df[test_df.Score!=''].Score) >= np.array(test_df[test_df.Score!='']['Score']).max()*0.75]['Team'].values
         if(len(team_top)) < 5:
             team_top = test_df.Team.values[:5]
         df_dated = player_games[(pd.to_datetime(player_games.date) >= pd.to_datetime(start_date))&(pd.to_datetime(player_games.date) <= pd.to_datetime(end_date))]
+        team_top = test_df[test_df.Score!=''][np.array(test_df[test_df.Score!=''].Score) >= np.array(test_df[test_df.Score!='']['Score']).max()*0.75]['Team'].values
         if(len(team_top)) < 5:
             team_top = test_df.Team.values[:5]