def dict_to_vec(dict_obj, labmt_words):
    """ dict to labmt word vector for use in hedonometer

    :param labmt_words: ordered vector of strings for labmt
    :param dict_obj: dict of word2count
    :return: np array of labmt counts

    """
    # return np.array([[dict_obj.get(word,0)] for word in labmt_words])

    # print(list(dict_obj.keys())[:10])
    return [dict_obj.get(word, 0) for word in labmt_words]