On Jan 27, 2012, at 6:28 PM, Anthony Scopatz wrote: > Hi Davide, > > From the createTable() doc string you'll see that you are not confined to the > IsDescription class for creating table descriptions. In fact, you can use > dictionaries of Col instances or numpy dtypes as descriptions. I have found > that both of these are much easier and better to use in the long run than the > declarative IDescription class. For example, >
Great! Thanks!
d
> desc = {'a': Float64Col(pos=1), 'b': Int32Col(pos=2)}
>
> Be Well
> Anthony
>
> On Fri, Jan 27, 2012 at 3:25 AM, Davide Cittaro <daweonl...@gmail.com> wrote:
> Hi all, I'm trying to store some data into pytables. Most of these are
> strings, their length varies in two values.
> I can of course create a class with StringCol elements sized at the maximum
> value, to accommodate both. I was thinking, instead, to create two separate
> tables and insert values in this or that, depending on the string length.
> In case of two values it's easy to implement two classes, unfortunately in
> real data these two values vary too (i.e. in my data can be 27 and 39, in
> other 16 and 24...), so I would like to have a template class, which I can
> instantiate with proper values depending on what I found.
> Problem is that I don't think I can safely override __init__() method for
> tables.IsDescription...
> In the end, two classes like
>
> class MyEntry_long(tables.IsDescription):
> stream = tables.StringCol(39)
>
> class MyEntry_short(tables.IsDescription):
> stream = tables.StringCol(26)
>
> class MyEntry(tables.IsDescription):
> def __init__(self, par = 39):
> stream = tables.StringCol(par)
>
> In other words, can I instantiate my entries passing parameters? maybe this
> is already possible in a more clean way :-)
>
> Thanks
>
> d
>
>
>
>
> ---
> Davide Cittaro
> daweonl...@gmail.com
> http://sites.google.com/site/davidecittaro/
>
>
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---
Davide Cittaro
daweonl...@gmail.com
http://sites.google.com/site/davidecittaro/
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