def create_matrixes(chip, input, df, args):
    # type: (Iterable[pd.DataFrame], Iterable[pd.DataFrame], pd.DataFrame, Namespace) -> List[pd.DataFrame]
    "Creates matrixes which can be written to file as is (matrix) or as bedGraph."

    genome = args.chromosome_sizes

    chip = put_dfs_in_chromosome_dict(chip)
    input = put_dfs_in_chromosome_dict(input)
    all_chromosomes = natsorted(set(list(chip.keys()) + list(input.keys())))

    # print("df1\n", df, file=sys.stderr)
    islands = enriched_bins(df, args)
    # print("islands1\n", islands, file=sys.stderr)


    logging.info("Creating matrixes from count data.")
    dfms = Parallel(n_jobs=args.number_cores)(delayed(_create_matrixes)(
        chromosome, chip, input, islands, genome[chromosome],
        args.window_size) for chromosome in all_chromosomes)

    return dfms
Creates matrixes which can be written to file as is (matrix) or as bedGraph.