Travis Oliphant wrote:
> Actually something as simple as
>
> class InfoArray(N.ndarray):
> pass
>
> will allow you to add attributes to InfoArray.
Well, sure, but how the heck do you initialize it?
>>> class InfoArray(N.ndarray):
... pass
...
>>> InfoArray((1,2,3))
InfoArray([[[ 6.61855173e-306, nan, 4.94708449e+173],
[ 3.32457336e-309, 1.08825491e+175, 2.12468326e-314]]])
InfoArray(N.array((1,2,3)))
InfoArray([[[ 2.17854722e-305, 1.90979621e-313, 1.90979621e-313],
[ 1.90979621e-313, 1.90979621e-313, 1.03977794e-312]]])
I, for one, would like a very easy to subclass version of ndarray, maybe
one that had a default constructor like numpy.array().
oh, and:
Charles R Harris wrote:
> I'd be more inclined to worry about speed. One of the drawbacks of
> numarray was the time it took to create arrays. Since I often use many
> small arrays, numpy was a big improvement in that area.
+1
keep basic arrays simple and lean.
Wasn't there one a UserArray class or something?
-Chris
--
Christopher Barker, Ph.D.
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