How to find feature importance in xgboost?

indices = np.argsort(model.feature_importances_)[::-1]

features = []
for i in range(10):
    features.append(X.columns[indices[i]])

fig, ax = plt.subplots(figsize=(15,5))     

sns.barplot(x=features, y=model.feature_importances_[indices[range(10)]],\
label="Importtant Categorical Features", palette=("Blues_d"),ax=ax).\
set_title('Categorical Features Importance')

ax.set(xlabel="Columns", ylabel = "Importance")