A Wednesday 18 June 2008, Glenn escrigué:
> Thank you for the help, what you say makes sense. In this
> application, I need to access the data both by rows and by columns in
> different loops. What is the best way to optimize this? Ideally I'd
> want to specify a different chunkshape for each loop,
Thank you for the help, what you say makes sense. In this application, I need to
access the data both by rows and by columns in different loops. What is the best
way to optimize this? Ideally I'd want to specify a different chunkshape for
each loop, but I guess that would require storing two copie
A Tuesday 17 June 2008, Glenn escrigué:
> Francesc Alted pytables.com> writes:
> > A Monday 16 June 2008, Glenn escrigué:
> > > Hello,
> > > I am storing 40 rows to an EArray as follows:
> > > if grp.__contains__('normI'):
> > > fh.removeNode(grp,'normI')
> > > fh.createEArray(grp,'normI',Fl
Francesc Alted pytables.com> writes:
>
> A Monday 16 June 2008, Glenn escrigué:
> > Hello,
> > I am storing 40 rows to an EArray as follows:
> > if grp.__contains__('normI'):
> > fh.removeNode(grp,'normI')
> > fh.createEArray(grp,'normI',Float32Atom(), (0,512),
> > expectedrows=80)
> >
A Monday 16 June 2008, Glenn escrigué:
> Hello,
> I am storing 40 rows to an EArray as follows:
> if grp.__contains__('normI'):
> fh.removeNode(grp,'normI')
> fh.createEArray(grp,'normI',Float32Atom(), (0,512),
> expectedrows=80)
>
> ... populate 40 rows of normI array ...
>
> When I
