On 7/6/07, Vincent Nijs <[EMAIL PROTECTED]> wrote: > I wrote the attached (small) program to read in a text/csv file with > different data types and convert it into a recarray without having to > pre-specify the dtypes or variables names. I am just too lazy to type-in > stuff like that :) The supported types are int, float, dates, and strings. > > I works pretty well but it is not (yet) as fast as I would like so I was > wonder if any of the numpy experts on this list might have some suggestion > on how to speed it up. I need to read 500MB-1GB files so speed is important > for me.
In matplotlib.mlab svn, there is a function csv2rec that does the same. You may want to compare implementations in case we can fruitfully cross pollinate them. In the examples directy, there is an example script examples/loadrec.py _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
