[SciPy-user] NumPy arrays of Python objects (it was Re: How to start with SciPy and NumPy)
Pierre GM
pgmdevlist@gmail....
Mon Jan 26 02:02:17 CST 2009
Vicent,
Without a more specific example, it might be quite difficult for us to
help you.
Would your 'value' property be of the same type for all the objects of
your sequence ? If yes, then you could define a class where 'value'
would be a ndarray. Other properties would then be other arrays, and
so forth.
But I probably speak out of place.
P.
On Jan 26, 2009, at 2:53 AM, Vicent wrote:
> Hello again.
>
> I have a doubt, related with all what was talked in the last posts
> of the previous thread.
>
> I've managed to build a NumPy array whose elements (scalars?) are
> objects from a class. That class was defined by me previously.
>
> Each object contains several properties. For example, they have the
> property "value".
>
> For each object, the property "value" can contain many different
> things, for example, an integer value, a boolean value or a "float".
> SO, I think it wouldn't be possible to replace that "object"/class
> with a NumPy data-type or "struct", in case I wanted.
>
> My question: is that a problem? I mean, is that NumPy array going to
> be "slow" to search, and so on, because its elements are not
> "optimized" NumPy types?? Maybe this question has no sense, but,
> actually, I would like to know if there is any kind of problem with
> that kind of "mixed structure": using NumPy arrays of developer-
> defined (non-NumPy) objects.
>
> Thank you in advance!
>
> --
> Vicent
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