human
Give me a the Python code you requested given the following:
Complete the below
def format_dictlist(dictlist, features):

    ''''Convert a list of dictionaries to be compatible with create_csv_response
    `dictlist` is a list of dictionaries
    all dictionaries should have keys from features
    `features` is a list of features
    example code:
    dictlist = [
    \'label1\': \'value-1,1\',
    \'label2\': \'value-1,2\',
    \'label3\': \'value-1,3\',
    \'label4\': \'value-1,4\',
    \'label1\': \'value-2,1\',
    \'label2\': \'value-2,2\',
    \'label3\': \'value-2,3\',
    \'label4\': \'value-2,4\',
    header, datarows = format_dictlist(dictlist, [\'label1\', \'label4\'])
    # results in
    header = [\'label1\', \'label4\']
    datarows = [[\'value-1,1\', \'value-1,4\'],
    [\'value-2,1\', \'value-2,4\']]'
    '''
assistant
#Here is the Python code you requested.
    def dict_to_entry(dct):
        '    Convert    dictionary    to    a    list    for    a    csv    row    '
        relevant_items = [(k, v) for (k, v) in dct.items() if (k in features)]
        ordered = sorted(relevant_items, key=(lambda (k, v): header.index(k)))
        vals = [v for (_, v) in ordered]
        return vals
    header = features
    datarows = map(dict_to_entry, dictlist)
    return (header, datarows)