[Numpy-discussion] Maximum available dimensions in numpy
pebarrett at gmail.com
Mon Jan 16 14:52:02 CST 2006
On 1/16/06, Sasha <ndarray at mac.com> wrote:
> > Before, I think numpy supported up to 32 dimensions. Is there any reason
> > for this new limit? Just curious.
> It was actually 40 until recently. I don't know the answer to your
> question (Travis?), but I am curious why would anyone need more than
> say 4? Solving PDEs by finite differences method in more than 4
> dimensional spaces, anyone? I know I sound like some very well known
> person, but really 20 "ought to be enough for everyone" (TM) :-).
How about setting the default case to 3 or 4 dimensions and then special
casing the rare higher dimensional arrays, i.e. using malloc for these
situations. The default dimension size could be a compile time option for
those who routinely exceed the default size of 3 or 4.
Paul Barrett, PhD Johns Hopkins University
Assoc. Research Scientist Dept of Physics and Astronomy
Phone: 410-516-5190 Baltimore, MD 21218
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