Fix Python – SQLAlchemy ORM conversion to pandas DataFrame

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Question

Asked By – Jared

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?

Now we will see solution for issue: SQLAlchemy ORM conversion to pandas DataFrame

Answer

Below should work in most cases:

df = pd.read_sql(query.statement, query.session.bind)

See pandas.read_sql documentation for more information on the parameters.

This question is answered By – van

This answer is collected from stackoverflow and reviewed by FixPython community admins, is licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0