In article <ytziqkvacul....@burgos.aip.de>, Ole Streicher <ole-usenet...@gmx.net> wrote: > >for my application, I need to use quite large data arrays >(100.000 x 4000 values) with floating point numbers where I need a fast >row-wise and column-wise access (main case: return a column with the sum >over a number of selected rows, and vice versa). > >I would use the numpy array for that, but they seem to be >memory-resistent. So, one of these arrays would use about 1.6 GB >memory which far too much. So I was thinking about a memory mapped >file for that. As far as I understand, there is one in numpy.
You probably want to ask on a NumPy or SciPy list: http://scipy.org/Mailing_Lists -- Aahz (a...@pythoncraft.com) <*> http://www.pythoncraft.com/ "If you think it's expensive to hire a professional to do the job, wait until you hire an amateur." --Red Adair -- http://mail.python.org/mailman/listinfo/python-list
