Convenience function for displaying feature importance list from DT or RF.

show_importance.py

def show_importance(model,title,X,y,n=10,show_score=True):
    '''
    Display feature importance list for a decision tree or
    random forest model, optionally displaying the accuracy score
    model: Decision tree or random forest model
    title: title text for plot
    X: Independent variables
    y: Target variables
    n: Number of important features to show (default=10
    show_score: calculate accuracy score (default=True)
    '''
    my_df=pd.DataFrame([model.feature_importances_],
                          columns=X.columns)\
                         .sort_values(0,axis=1).iloc[:,-n:]
    plt.figure(figsize=[8,6])
    plt.barh(my_df.columns,width=my_df.loc[0])
    plt.ylabel("Feature name")
    plt.xlabel("Importance")
    plt.title(f'{title}\n(top {n} features)')
    plt.show()
    if show_score:
        print(f'Model parameters:{model.get_params}\n\n')
        print(f'Model score:{model.score(X,y)}')