[SciPy-user] Fastest way to read a matrix in
Jose Luis Gomez Dans
Tue Feb 5 11:04:34 CST 2008
> On Feb 5, 2008 9:15 AM, Jose Luis Gomez Dans <email@example.com> wrote:
> MxN array (or is it NxM? :D) I am using scipy.io.read_array(), but the
> performance is fairly slow (these are 80x80ish arrays). While they are on NFS
> mounts, other programs read the data in faster than python's
> scipy.io.read_array, so I was wondering whether there's a faster way of reading the data in
> (maybe giving hints on the number of columns and rows, using some other
> function, etc)?
> Try numpy.fromfile()
Aaaahhhh.... This was an improvement. It appears that numpy also has loadtxt(). A few simple examples show that read_array takes of the between 0.5-0.6 of wall time, with loadtxt taking 0.04 and fromfile() (your suggestion) 0.01 (same file, already in cache, repeat tests 10 times). That's 3 methods that look as if they do the same sort of thing, and three very different performances.
Psssst! Schon vom neuen GMX MultiMessenger gehört?
Der kann`s mit allen: http://www.gmx.net/de/go/multimessenger
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