title: SQLAlchemy ORM conversion to pandas DataFrame
body: <p>Is there a solution converting a SQLAlchemy <code>&lt;Query object&gt;</code> to a pandas DataFrame?</p>
  <p>Pandas has the capability to use <code>pandas.read_sql</code> but this requires use of raw SQL. I have two reasons for wanting to avoid it:</p>
  <ol>
  <li>I already have everything using the ORM (a good reason in and of itself) and</li>
  <li>I'm using python lists as part of the query, e.g.:</li>
  </ol>
  <blockquote>
  <p><code>db.session.query(Item).filter(Item.symbol.in_(add_symbols)</code> where <code>Item</code> is my model class and <code>add_symbols</code> is a list). This is the equivalent of SQL <code>SELECT ... from ... WHERE ... IN</code>.</p>
  </blockquote>
  <p>Is anything possible?</p>