How to create a barplot to visualize best categorical features?

indices = np.argsort(selectkbest.scores_)[::-1]

features = []
for i in range(6):
    features.append(X.columns[indices[i]])

fig, ax = plt.subplots(figsize=(20,10))     

sns.barplot(x=features, y=selectkbest.scores_[indices[range(6)]],\
label="Importtant Categorical Features", palette=("Blues_d"),ax=ax).\
set_title('Categorical Features Importance')

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