def df_query(self, query, with_labels=False):
        """
        Run a :mod:`sqlalchemy` query and return result as a :class:`pandas.DataFrame`

        Args:

            query (sqlalchemy.orm.query.Query): query object, usually generated by :func:`session.query()` in
                an :class:`sqlalchemy.orm.session.Session`

            with_labels (bool): A query for fields with the same name from different tables will cause problems
                when converting it to a :class:`pandas.DataFrame`, because there will be duplicate column names.
                When setting `with_labels=True`, disambiguation labels are assigned to all (!)
                fields in the query - the field name is prefixed with the column name. This enables
                querying fields with identical names from multiple tables but getting unique column names in the output.

        :return: query result as :class:`pandas.DataFrame`
        """
        import pandas as pd

        if with_labels:
            query = query.with_labels()

        # compile sql statement, including arguments
        statement = query.statement.compile(self.engine)

        # run query
        return pd.read_sql_query(sql=statement, con=self.engine)
def df_query ( self , query , with_labels = False ) : import pandas as pd if with_labels : query = query . with_labels ( ) statement = query . statement . compile ( self . engine ) return pd . read_sql_query ( sql = statement , con = self . engine )
Run a :mod:`sqlalchemy` query and return result as a :class:`pandas.DataFrame`

        Args:

            query (sqlalchemy.orm.query.Query): query object, usually generated by :func:`session.query()` in
                an :class:`sqlalchemy.orm.session.Session`

            with_labels (bool): A query for fields with the same name from different tables will cause problems
                when converting it to a :class:`pandas.DataFrame`, because there will be duplicate column names.
                When setting `with_labels=True`, disambiguation labels are assigned to all (!)
                fields in the query - the field name is prefixed with the column name. This enables
                querying fields with identical names from multiple tables but getting unique column names in the output.

        :return: query result as :class:`pandas.DataFrame`