On Wed, Aug 12, 2009 at 11:28 AM, Ryan May<rma...@gmail.com> wrote: > On Wed, Aug 12, 2009 at 10:22 AM, Ralph Heinkel <ra...@dont-mind.de> wrote: >> >> Hi, >> >> I'm creating (actually calculating) a set of very large 1-d arrays >> (vectors), which I would like to assemble into a record array so I can >> access the data row-wise. Unfortunately it seems that all data of my >> original 1-d arrays are getting copied in memory during that process. >> Is there a way to get around that? > > I don't think so, because fundamentally numpy assumes array elements are > packed together in memory. If you know C, record arrays are pretty much > arrays of structures. You could try just using a python dictionary to hold > the arrays, depending on you motives behind using a record array. > > Ryan >
Can you preallocate the record array and fill it up as you calculate the values? You can use the reference to the recarray columns. I never tried with recarrays. Josef _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
