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...

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 <mailto: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 <mailto: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 <mailto: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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