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

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 
> <javascript:>> 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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-- 
SQLAlchemy - 
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http://www.sqlalchemy.org/

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