On Fri, Aug 19, 2011 at 7:29 AM, Jeremy Conlin <jlcon...@gmail.com> wrote:
> On Fri, Aug 19, 2011 at 7:19 AM, Pauli Virtanen <p...@iki.fi> wrote:
>> Fri, 19 Aug 2011 07:00:31 -0600, Jeremy Conlin wrote:
>>> I would like to use numpy's memmap on some data files I have. The first
>>> 12 or so lines of the files contain text (header information) and the
>>> remainder has the numerical data. Is there a way I can tell memmap to
>>> skip a specified number of lines instead of a number of bytes?
>>
>> First use standard Python I/O functions to determine the number of
>> bytes to skip at the beginning and the number of data items. Then pass
>> in `offset` and `shape` parameters to numpy.memmap.
>
> Thanks for that suggestion. However, I'm unfamiliar with the I/O
> functions you are referring to. Can you point me to do the
> documentation?
>
> Thanks again,
> Jeremy
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this might get you started:
import numpy as np
# make some fake data with 12 header lines.
with open('test.mm', 'w') as fhw:
print >> fhw, "\n".join('header' for i in range(12))
np.arange(100, dtype=np.uint).tofile(fhw)
# use normal python io to determine of offset after 12 lines.
with open('test.mm') as fhr:
for i in range(12): fhr.readline()
offset = fhr.tell()
# use the offset in your call to np.memmap.
a = np.memmap('test.mm', mode='r', dtype=np.uint, offset=offset)
assert all(a == np.arange(100))
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