"No driver name specified" by writing pandas data frame to SQL Server table

Question

I am trying to write a Pandas' DataFrame to a SQL Server table. Here is my example:

import pyodbc
import pandas as pd
import sqlalchemy

df = pd.DataFrame({'MDN': [242342342] })
engine = sqlalchemy.create_engine('mssql://localhost/Sandbox?trusted_connection=yes')
df.to_sql('Test',engine, if_exists = 'append',index = False)

The following error message appears. Any thoughts on how to fix it?

c:\python34\lib\site-packages\sqlalchemy\connectors\pyodbc.py:82: SAWarning: No driver name specified; this is expected by PyODBC when using DSN-less connections
  "No driver name specified; "


---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-25-78677a18ce2d> in <module>()
      4 engine = sqlalchemy.create_engine('mssql://localhost/Sandbox?trusted_connection=yes')
      5 
----> 6 df.to_sql('Test',engine, if_exists = 'append',index = False)
      7 
      8 #cnxn.close()

c:\python34\lib\site-packages\pandas\core\generic.py in to_sql(self, name, con, flavor, schema, if_exists, index, index_label, chunksize, dtype)
    980             self, name, con, flavor=flavor, schema=schema, if_exists=if_exists,
    981             index=index, index_label=index_label, chunksize=chunksize,
--> 982             dtype=dtype)
    983 
    984     def to_pickle(self, path):

c:\python34\lib\site-packages\pandas\io\sql.py in to_sql(frame, name, con, flavor, schema, if_exists, index, index_label, chunksize, dtype)
    547     pandas_sql.to_sql(frame, name, if_exists=if_exists, index=index,
    548                       index_label=index_label, schema=schema,
--> 549                       chunksize=chunksize, dtype=dtype)
    550 
    551 

c:\python34\lib\site-packages\pandas\io\sql.py in to_sql(self, frame, name, if_exists, index, index_label, schema, chunksize, dtype)
   1564                             if_exists=if_exists, index_label=index_label,
   1565                             dtype=dtype)
-> 1566         table.create()
   1567         table.insert(chunksize)
   1568 

c:\python34\lib\site-packages\pandas\io\sql.py in create(self)
    646 
    647     def create(self):
--> 648         if self.exists():
    649             if self.if_exists == 'fail':
    650                 raise ValueError("Table '%s' already exists." % self.name)

c:\python34\lib\site-packages\pandas\io\sql.py in exists(self)
    634 
    635     def exists(self):
--> 636         return self.pd_sql.has_table(self.name, self.schema)
    637 
    638     def sql_schema(self):

c:\python34\lib\site-packages\pandas\io\sql.py in has_table(self, name, schema)
   1577         query = flavor_map.get(self.flavor)
   1578 
-> 1579         return len(self.execute(query, [name,]).fetchall()) > 0
   1580 
   1581     def get_table(self, table_name, schema=None):

c:\python34\lib\site-packages\pandas\io\sql.py in execute(self, *args, **kwargs)
   1465             cur = self.con
   1466         else:
-> 1467             cur = self.con.cursor()
   1468         try:
   1469             if kwargs:

AttributeError: 'Engine' object has no attribute 'cursor'

Also, are there ways to write a connection string for a create_enginedifferent way? I would like to write it in the form of a dictionary, not a string.

Refresh . Here is my new environment:

MS SQL Server: Microsoft SQL Server 2012 - 11.0.2100.60 (X64) Feb 10, 2012 7:39:15 pm Copyright (c) Microsoft Corporation Standard version (64-bit) in Windows NT 6.2 (build 9200 :)

Python: 3.4.3 (v3.4.3: 9b73f1c3e601, February 24, 2015, 10:43:06 PM) [MSC v.1600 32 bit (Intel)]

Pandas Version: '0.16.2'

sqlalchemy version: 1.1.3

Jupyter: 4.2.3

engine = sqlalchemy.create_engine('mssql+pyodbc://localhost/Sandbox?trusted_connection=yes')

:

c:\python34\lib\site-packages\sqlalchemy\connectors\pyodbc.py:82: SAWarning: No driver name specified; this is expected by PyODBC when using DSN-less connections
  "No driver name specified; "

Answer 1

, ODBC ODBC .

engine = sqlalchemy.create_engine('mssql+pyodbc://localhost/Sandbox?driver=SQL+Server+Native+Client+11.0')

, , .

Answer 2

, , :

engine = sqlalchemy.create_engine('mssql+pyodbc://localhost/Sandbox?trusted_connection=yes')

, :

c:\python34\lib\site-packages\sqlalchemy\connectors\pyodbc.py:82: SAWarning: No driver name specified; this is expected by PyODBC when using DSN-less connections
  "No driver name specified; "

, pymssql pyodbc, MS .

---

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, / DSN ( ):

https://github.com/mkleehammer/pyodbc/blob/master/docs/index.md#connect-to-a-database