Update metric_for_tp_fp_samples.py

metric_for_tp_fp_samples.py

@@ -226,8 +226,7 @@ class metric_tp_fp_Datasets(evaluate.Metric):
 							TP_data = TP_data.sort_values(by=["class"], ignore_index  = True)
 						else:
 							if FPifWrong:
-								for k in i:	
-									print(k)                                    
+								for k in i:                                   
 									FP_data.loc[FP_data["class"] == k, "coincidence count"] += 1
 									FP_data = FP_data.sort_values(by=["class"], ignore_index  = True)
 				if j[1] == 2: