> If you are using a subquery for additional processing or joins,
> you can use `label()` to specify the name for the computed column,
> then access that column as an attribute on the `.c` columns attribute of the
> subquery object.
Thanks for your information.
> inner_query = dbSession.query(
> model.Foo.a,
> sqlalchemy.func.count(Model.Foo.b).label('count_b')
> )
> inner_query = inner_query.subquery('query_foo')
> results =
> dbSession.query(inner_query.c.count_b.label('count_results')).all()
Another part of the desired data analysis is working here now.
Will it become easier to recognise the relevant relationships
from the corresponding programming interface documentation?
Regards,
Markus
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