def list_textual_metrics(prefix):
    """Takes a prefix string (body or title)
    and returns a list of all the metrics associated with
    the text. The purpose of this is to help with
    analysis that wants a list of all
    textual metric feature names"""
    ret = []
    for metric in [
            # 'lexicon_count',
            # 'sentence_count',
            'length', 'percent_uppercase',
            'percent_spaces', 'percent_punctuation',
            'starts_capitalized',
            'coleman_liau_index',
            'includes_question_mark',
            'sentiment_polarity', 'sentiment_subjectivity',
    ]:
        ret.append('{}_{}'.format(prefix, metric))
    return ret