xgboost 特征重要性选择 / 看所有特征哪个重要

xgb_trained_model = xgb.train(params, train_xgb_split, 500, watch_list, early_stopping_rounds=50, verbose_eval=10)

importance = xgb_trained_model.get_fscore()
temp1 = []
temp2 = []
for k in importance:
    temp1.append(k)
    temp2.append(importance[k])
print(pd.DataFrame({
        'column': temp1,
        'importance': temp2,
    }).sort_values(by='importance'))