[Numpy-discussion] Slow performance in array protocol with string arrays

Todd Miller jmiller at stsci.edu
Wed Jan 4 10:42:14 CST 2006


I fixed a performance bug in numarray.strings so the lion's share of 
this problem is now gone in CVS:

scipy -> numarray Int32 0.000634908676147
scipy -> numarray S1 0.000502109527588
numarray -> scipy S1 0.000125885009766
numarray -> numarray S1 0.00110602378845

Things could be further improved by adding "import" support for the 
newcore array protocol to numarray.strings.

Todd

Gary Strangman wrote:

>
>> 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
>
> --------------------------------------------------------------
> Gary Strangman, PhD        |  Director, Neural Systems Group
> Office: 617-724-0662       |  Massachusetts General Hospital
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