On Apr 28, 2018 06:54, Glenn Schultz <glennmschu...@me.com> wrote: > > All, > > I have the following set-up (below) which will be used to call data from > multiple sectors. There is a sql query (transact sql) and connection. This > works fine. However, I would like to parametrize the query so I can enter > different sectors. I have checked through pyodbc and several SO posts. > However, I am stuck and cannot get the parametrized version to work. Most > examples I have found are either sqlite or postgres. > > sql ="""select foo from mutable where model sector = 'mysector'""" > conn = myconn > > def modeldata(modelquery, conn) > modeldata = pandas.read_sql_query(sql, conn) > return modeldata > > Here is what I have tried (various combinations) - what am I doing wrong? > > sql ="""select foo from mutable where model sector = ?""", [params] > conn = myconn > > def modeldata(modelquery, conn, params) > modeldata = pandas.read_sql_query(sql, conn, params) > return modeldata
pandas.read_sql_query(sql, conn, params=params) The third positional arg is actually index_col, so you need to use a keyword arg. https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql_query.html#pandas.read_sql_query BTW, I think you can use a context manager to automatically close the connection: with pyodbc.connect(your_conn_string) as conn: df = pd.read_sql_query(sql, conn, params=params) _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor
