Re: [Pytables-users] Use of recarrays as representation for Tables in memory

[Anthony S. <sc...@gm...>]

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 <al...@mi...>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 <sc...@gm...>
> 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 <al...@mi...
> >
> > 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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