When you say "these tables are Python objects", I assume you are
refererring to your temporary data(?)

The "detour" above about in-memory tables was just to provide an
alternative to making your own itemize, i.e.:
- define your temp tables as in-memory tables
- insert your "rows" instead of appending to your Python objects
- pass the in-memory tables to the existing itemize

(Apologies if that was stating the obvious)

On Nov 18, 10:48 pm, Baron <[EMAIL PROTECTED]> wrote:
> These tables are Python objects, so is there a way to instantiate them
> without a database?
>
> Otherwise I'll do as you suggest, Bill, and make my own itemize.
> Baron
>
> On Nov 19, 12:33 am, billf <[EMAIL PROTECTED]> wrote:
>
>
>
> > I don't think you can - as you say itemize takes tables and an
> > optional query.  I think you will have to create your own "itemize"
> > that works off your results. Looking at T2.itemize, it should not be
> > difficult.
>
> > Would it be nice if one could create a database and table in ram cache
> > (disk cache wouldn't be much better than a conventional temp table?)
> > and access it like a normal database.  Maybe that is possible already
> > but I don't think so.
>
> > On Nov 18, 11:47 am, Baron <[EMAIL PROTECTED]> wrote:
>
> > > hello,
>
> > > My app calculates temporary data that I want to display to the user.
> > > There is a lot of it so paginating it with t2.itemize sounds like a
> > > good idea. But itemize takes a database table as input.
>
> > > So, I could write the data to a table and then query it to get the
> > > right form, but that would be wasteful. How can I instead wrap the
> > > data directly for itemize?
>
> > > thanks,
> > > Baron- Hide quoted text -
>
> - Show quoted text -
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