def plot_cat_feature_importances(cb_clf):
    """Accepts a fitted CatBoost classifier model and plots the feature importances as a bar chart.
    Returns the results as a Series."""
    import pandas as pd
    important_feature_names = cb_clf.feature_names_
    important_feature_scores = cb_clf.feature_importances_
    important_features = pd.Series(important_feature_scores, index=
        important_feature_names)
    important_features.sort_values().plot(kind='barh')
    return important_features
