Is there a solution converting a SQLAlchemy `<Query object>` to a pandas DataFrame?

Pandas has the capability to use `pandas.read_sql` but this requires use of raw SQL. I have two reasons for wanting to avoid it:

1. I already have everything using the ORM (a good reason in and of itself) and
2. I'm using python lists as part of the query, e.g.:

> 
> `db.session.query(Item).filter(Item.symbol.in_(add_symbols)` where `Item` is my model class and `add_symbols` is a list). This is the equivalent of SQL `SELECT ... from ... WHERE ... IN`.
> 
> 
> 

Is anything possible?