[SciPy-dev] timeseries moved to scikits

[David Huard]

2008/1/24, Francesc Altet <faltet at carabos.com>:
>
> A Thursday 24 January 2008, David Huard escrigué:
> > Hum. This was for Bradford. In any case, if anyone has suggestions or
> > ideas about the implementation details, please chime in !
>
> Yeah.  I've some
>
> > 2008/1/24, David Huard <david.huard at gmail.com>:
> > > Hi Bradford,
> > >
> > > Before putting too much time on our respective side, maybe we
> > > should discuss the basic implementation plan to make sure we agree
> > > on requirements and the general layout of the code.
> > >
> > > 1) In my draft, I divided the date sequence, the data and the mask
> > > into three separate entities. Do this seem also reasonable to you ?
> > >
> > > 2) Data is stored in a table for record arrays, and EArrray for
> > > simple ndarrays. Using this setup, object arrays cannot be stored.
> > > One solution could be to convert them to record arrays and store
> > > them in a table with a flag indicating that when loaded, the data
> > > should be returned as an object array.
>
> Perhaps another more elegant solution would be to use a VLArray using an
> ObjectAtom pseudo-atom.


Thanks for the tip. I didn't know about those.

> > 3) Dates are stored in a ISO compliant string EArray. I used EArray
> > > because they are enlargeable. This could become handy eventually,
> > > but I don't know if there are any counter-indications (file size,
> > > load speed, etc)
>
> Do not expect problems with that, but if you want to be sure that you
> are getting maximum load speed, you should specify the `expectedrows`
> argument in EArray constructor (see section 5.1 of manual for an
> explanation on why).


Ok, thanks.


Cheers,
>
> --
> >0,0<   Francesc Altet http://www.carabos.com/
> V   V   Cárabos Coop. V. Enjoy Data
> "-"
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