Hi Davide,
>From the
>createTable()<http://pytables.github.com/usersguide/libref.html?#tables.File.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,
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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