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lol_champion_pick_predictor

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Jimin Park commited on Jan 11

Commit

de140d7

1 Parent(s): 3272247

kermitting soon

Files changed (1) hide show

util/helper.py CHANGED Viewed

@@ -954,8 +954,8 @@ def calculate_champion_loyalty(df):
             print("row['W_1'] type: ", type(row['W_1']), "\n row['W_1']: ", row['W_1'], "\n ")
             print("row['L_1'] type: ", type(row['L_1']), "\n row['L_1']: ", row['L_1'], "\n")
             recent_games = [
-                (row['W_1'] + row['L_1']) if pd.notna(row['most_champ_1']) else 0,
-                (row['W_2'] + row['L_2']) if pd.notna(row['most_champ_2']) else 0
             ]
             total_recent_games = sum(recent_games)

             print("row['W_1'] type: ", type(row['W_1']), "\n row['W_1']: ", row['W_1'], "\n ")
             print("row['L_1'] type: ", type(row['L_1']), "\n row['L_1']: ", row['L_1'], "\n")
             recent_games = [
+                (int(row['W_1']) + int(row['L_1'])) if pd.notna(row['most_champ_1']) else 0,
+                (int(row['W_2']) + int(row['L_2'])) if pd.notna(row['most_champ_2']) else 0
             ]
             total_recent_games = sum(recent_games)