2008/4/1, Peter <[EMAIL PROTECTED]>:
> Hi Lukasz,
>
>  If your data has all the elements of the same type, then you could try
>  loading it into a NumPy matrix or array, and passing that to R.
>
>  I personally would pass the filename to R, and use R's read.table()
>  command to load it in R.  You can work out the exact options you need
>  for read.table() by experimenting in an R session, and then try the
>  same from rpy.  This assumes you do not need the actual data in python
>  too.
>
>  I don't know if you can pass the file pointer (handle) from python to
>  R.  I would be interested to know if this is possible.

It would only be possible by going down to the C level, I think.
However, I am not certain the use-cases for having so are common.
(feel free to share them if you have some and want to discuss them)


L.


>
>  Peter
>
>
>  On Tue, Apr 1, 2008 at 2:51 AM, Lukasz Szybalski <[EMAIL PROTECTED]> wrote:
>  > Hello,
>  >  I am trying to read a 100mb+ csv file in python.
>  >  f=csv.DictReader(open(filename))
>  >  or
>  >  f=csv.Reader(open(filename))
>  >
>  >  When I read it in I would like to pass it to R to do some work on it.
>  >  How would I do that?
>  >
>  >  Do I pass the file pointer or read file?
>  >  I think for speed purposes I would prefer passing read file.
>  >
>  >  Lucas
>
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