On Thu, Jun 28, 2012 at 3:23 PM, Francesc Alted <fal...@pytables.org> wrote:
> Yes, I think it would make more sense to return a recarray too. However,
> I remember many time ago (3, 4 years?) that NumPy developers were
> recommending using structured arrays instead of recarrays. I don't
> remember exactly the arguments, but I think that was the reason why the
> structured arrays were declared the default for reading tables. But this
> could be changed, of course...
>
I remember this too Francesc. I don't think that this has changed, but I
forgot the reasons. Maybe I'll write to the numpy list later tonight,
unless someone else wants to...
>
> Francesc
>
>
> On 6/28/12 8:25 PM, Anthony Scopatz wrote:
>
> Hmmm Ok. Maybe there needs to be a recarray flavor.
>
> I kind of like just returning a normal ndarray, though I see your
> argument for returning a recarray. Maybe some of the other devs can jump
> in here with an opinion.
>
> Be Well
> Anthony
>
> On Thu, Jun 28, 2012 at 12:37 PM, Alvaro Tejero Cantero
> <alv...@minin.es>wrote:
>
>> I just tested: passing an object of type numpy.core.records.recarray
>> to the constructor of createTable and then reading back it into memory
>> via slicing (h5f.root.myobj[:] ) returns to me a numpy.ndarray.
>>
>> Best,
>>
>> -á.
>>
>>
>> On Thu, Jun 28, 2012 at 5:30 PM, Anthony Scopatz <scop...@gmail.com>
>> wrote:
>> > Hi Alvaro,
>> >
>> > I think if you save the table as a record array, it should return you a
>> > record array. Or does it return a structured array? Have you tried
>> this?
>> >
>> > Be Well
>> > Anthony
>> >
>> > On Thu, Jun 28, 2012 at 11:22 AM, Alvaro Tejero Cantero <
>> alv...@minin.es>
>> > wrote:
>> >>
>> >> Hi,
>> >>
>> >> I've noticed that tables are loaded in memory as structured arrays.
>> >>
>> >> It seems that returning recarrays by default would be much in the
>> >> spirit of the natural naming preferences of PyTables.
>> >>
>> >> Is there a reason not to do so?
>> >>
>> >> Cheers,
>> >>
>> >> Álvaro.
>> >>
>> >>
>> >>
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> Francesc Alted
>
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