add print

diaryQueueUpdate.py

@@ -118,10 +118,13 @@ def predict(queue_name, x_list):
 
 def save_result(queue_name, x_list):
     score_df = pd.read_csv(DIRECTORY_PATH + "result/output{0}_{1}.csv".format(device_id,queue_name), header=None)
+    mm_scaler = MinMaxScaler()
+    a = mm_scaler.fit_transform(score_df)
+    print(a)
+    print(score_df)
     score_df = score_df.rename(columns={0: "score"})
 
-    mm_scaler = MinMaxScaler()
-    score_df["score"] = mm_scaler.fit_transform(score_df[["score"]])
+
     print("概率前十行：")
     print(score_df)
     score_df["cid"] = x_list