[Numpy-discussion] Slow performance in array protocol with string arrays
Gary Strangman
strang at nmr.mgh.harvard.edu
Wed Jan 4 10:30:11 EST 2006
> Which brings up another curiosity: I'm all in favor of not having arbitrary
> limits on anything, but I'm curious what the largest rank NumPy array anyone
> has ever had a real use for is? I don't think I've ever used rank > 3, or
> maybe 4.
>
> Anyone have a use case for a very large rank array?
Depends on your definition of "very". In neuroimaging at least, rank 4 is
a standard dataset "unit" (3D+time). If you then include subjects,
replications (same day), and sessions (i.e., testing on different days),
that's rank=7. Can't say as I've ever reached 10 though. ;-)
-best
Gary
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