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. 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 ------------------------------------------------------------------------- Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://ad.doubleclick.net/clk;164216239;13503038;w?http://sf.net/marketplace _______________________________________________ rpy-list mailing list rpy-list@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/rpy-list
