> > rows = fh.read().split() > coords = numpy.array(map(int, rows[1::3]), dtype=int) > points = numpy.array(map(float, rows[2::3]), dtype=float) > chromio.writelines(map(chrommap.__getitem__, rows[::3])) >
My original version is about 15 seconds. This version is about 9. The chunks version posted by Scott is about 11 seconds with a chunk size of 16384. When integrated into the overall code, reading all 28 files, it improves the performance by about 30%. Many thanks to everybody for their help, Peter -- http://mail.python.org/mailman/listinfo/python-list
