On 08/19/2011 05:01 PM, Brent Pedersen wrote:
> 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()

I think that before reading a line the program should
check whether the line starts with "#". Otherwise fhr.readline()
may return a very large junk of data (may be the rest of the file 
content) that ought to be read only via memmap.

HTH,
Pearu
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