xgboost 如何导出特征重要性成dataframe

feature_important = model.get_score(importance_type='weight')
keys = list(feature_important.keys())
values = list(feature_important.values())
data = pd.DataFrame({'feature': keys, 'score': values})
data = data.sort_values(axis=0, ascending=False, by='score')

最终data即为 dataframe