On Fri, Nov 11, 2011 at 4:25 AM, Francesc Alted wrote:
> 2011/11/10 Thibault North :
> [clip]
>> Thanks for your detailled reply.
>>
>> I am now using a EArray, as you suggested, with:
>> myearray = h5file.createEArray(h5file.root, 'steps', atom
>> , (L, K, 0), "desc")
>> (Number of iteration N i
2011/11/10 Thibault North :
[clip]
> Thanks for your detailled reply.
>
> I am now using a EArray, as you suggested, with:
> myearray = h5file.createEArray(h5file.root, 'steps', atom
> , (L, K, 0), "desc")
> (Number of iteration N is unknown but usually small, L and K are known)
>
> If I understan
On November 9, 2011 02:04:45 AM Francesc Alted wrote:
> 2011/11/8 Thibault North :
>> [...]
>
> For things like that, it is always recommended to get your big
> matrices out of Table objects. In your case, you may want to put
> `steps` (and probably `output` too) in external EArray objects. For
2011/11/8 Thibault North :
> Hello,
>
> I just discovered PyTables and am trying to find a good table structure to
> describe my data.
>
> A table is defined as:
> mytable = h5file.createTable(group, 'outputs', Foobar, "Foobar description")
>
> with a class Foobar:
>
> class Foobar(tables.IsDescrip
Hello,
I just discovered PyTables and am trying to find a good table structure to
describe my data.
A table is defined as:
mytable = h5file.createTable(group, 'outputs', Foobar, "Foobar description")
with a class Foobar:
class Foobar(tables.IsDescription):
iteration = tables.Int32Col()
out
