feature_important = fitted_model.get_booster().get_score(importance_type='weight') | |
keys = list(feature_important.keys()) | |
values = list(feature_important.values()) | |
data = pd.DataFrame(data=values, index=keys, columns=["score"]).sort_values(by = "score", ascending=False) | |
data.plot(kind='barh') |