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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