systematic bug in pandas/io/sql.py when trying to write a dataframe of one column of integers into sqlite
Hello,

trying this code with pandasql, with ipython, I get a bogus result .

import pandas as pd

%load https://raw.github.com/yhat/pandasql/master/pandasql/sqldf.py

df=pd.DataFrame([ 1, 2], columns=['f'])
sqldf("select \*  from df ", locals())

this gives the mysterious (binary ?) output: 
    f
0   (1, 0, 0, 0, 0, 0, 0, 0)
1   (2, 0, 0, 0, 0, 0, 0, 0)

Digging further, I found that the problem is in those lines generated by pandas/io/sql/py  :

import pandas as pd
import sqlite3
df=pd.DataFrame([ 1, 2], columns=['f' ])
con = sqlite3.connect(":memory:")
con.execute("CREATE TABLE df ( [f] INTEGER );")
data = [tuple(x) for x in df.values]
con.executemany("INSERT INTO df ([f]) VALUES (?)", data)
# here is the way to see the bogus result

for row in con.execute("select \* from f"):
    print (row) 
# this print :
# (b'\x01\x00\x00\x00\x00\x00\x00\x00',)
# (b'\x02\x00\x00\x00\x00\x00\x00\x00',)
# instead of expected :
# (1,)
# (2,)

I can't guess further what is causing the issue, it seems there is a misunderstanding between pandas and sqlite when passing a "data" list of integers.

problem doesn't exist if we switch to non-integers like : 
 df=pd.DataFrame([ 1., 2], columns=['f' ])

Nota : I'm under windows vista 32 bits, python 3.3, in a country where the decimal separator is a comma (,) , maybe it's related to the problem, maybe not.
