On Jan 7, 2018 11:29 AM, "Russ Wilson" <rpwil...@gmail.com> wrote:

When I attempt to create a panda dataframe from the results it throws this
error "Shape of passed values is (1, 100), indices imply (9, 100)" because
it is seeing the results as 1 column vs a list of columns.  Ill take a look
at the SQL Server one.   Thanks


That has nothing to do with a SQLAlchemy dialect because all SQLAlchemy
result sets come back as a ResultSet object and every row is a ResultRow.
 The pyodbc internals are not exposed.



pd.DataFrame(data=data, columns=column_names)



On Saturday, January 6, 2018 at 11:57:57 PM UTC-6, Mike Bayer wrote:

> pyodbc.Row acts like a tuple so there is no special conversion needed.
>
> SQLAlchemy has three pyodbc dialects, for SQL Server (very stable),
> MySQL (sorta works), and Sybase (probably doesn't work), but you can
> use the first two as examples for the basics.   They base off of the
> PyODBCConnector in connectors/pyodbc.py.
>
>
> On Sun, Jan 7, 2018 at 12:40 AM, Russ Wilson <rpwi...@gmail.com> wrote:
> >
> > I was attempting to create a new dialect but hit and issue.  pyodbc is
> > returning a list of pyodbc.Row.  Is there a method i should be
> implementing
> > to convert the list to a list of tuples.
> >
> > Thanks
> >
> > --
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http://www.sqlalchemy.org/

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SQLAlchemy - 
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http://www.sqlalchemy.org/

To post example code, please provide an MCVE: Minimal, Complete, and Verifiable 
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