How to get feature importance in xgboost?

Question

I\'m using xgboost to build a model, and try to find the importance of each feature using get_fscore(), but it returns {}

and my train code

Answer 1

Get the table containing scores and feature names, and then plot it.

feature_important = 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')

For example: