您可以执行以下操作：
mask = select_k_best_classifier.get_support() #list of booleansnew_features = [] # The list of your K best featuresfor bool, feature in zip(mask, feature_names): if bool: new_features.append(feature)
然后更改功能的名称：
dataframe = pd.Dataframe(fit_transofrmed_features, columns=new_features)
