Large data arrays?

[Aahz]

In article <ytziqkvacul.fsf at burgos.aip.de>,
Ole Streicher  <ole-usenet-10 at 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
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Aahz (aahz at pythoncraft.com)           <*>         http://www.pythoncraft.com/

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