problem writing DateTime data to sqlite with sql.write_frame
Although this problem was [ostensibly solved](https://github.com/pydata/pandas/issues/6015), it still seems to affect the [latest](https://github.com/pydata/pandas/commit/1bab0a2d806dccf1b5bf6bf501d38b5f1a9b3bc7) commit as of the present time; the following code throws an `InterfaceError` at the `write_frame()` call; changing the dtype of the date column to something other than DateTime (e.g., by removing the parameter `parse_dates=[1]` in the call to `read_csv()`) circumvents the problem:

```
import StringIO
import sqlite3
import pandas.io.sql

data_csv = u"""foo,2012-01-01                                                                                                                  
foo,2012-01-02                                                                                                                                 
bar,2011-01-01                                                                                                                                 
qux,2011-01-01                                                                                                                                 
"""
buf = StringIO.StringIO(data_csv)

df = pandas.read_csv(buf, header=None, 
       names=['name', 'date'], parse_dates=[1])

conn = sqlite3.connect(':memory:')
cursor = conn.cursor()
cursor.execute('create table data (name string, date date)')

pandas.io.sql.write_frame(df, 'data', conn, 'sqlite', 'append', False)
```
