read_sql from sqlite doesn't work with np datatypes
#### Code Sample, a copy-pastable example if possible

```
import sqlite3
import pandas as pd
conn = sqlite3.connect('tmp')
df = pd.DataFrame({'a': [0,1,2]})
df.to_sql('df', conn)
pd.read_sql('SELECT * FROM df WHERE a = ?', conn, params=[1]).shape  # (1,2) as expected
pd.read_sql('SELECT * FROM df WHERE a = ?', conn, params=[np.int64(1)]).shape # (0, 2) - bug
```
#### Expected Output

(1,2)
Actually, it works only with int/float/np.float64, but not with np.int64/np.int32/np.float128/np.float32. 
This of course is a problem when the values are obtained from pandas dataframes, where they are often np.int64.
#### output of `pd.show_versions()`
## INSTALLED VERSIONS

commit: None
python: 3.5.0.final.0
python-bits: 64
OS: Linux
OS-release: 3.13.0-77-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8

pandas: 0.18.0
nose: 1.3.7
pip: 8.1.1
setuptools: 18.2
Cython: 0.23.4
numpy: 1.11.0
scipy: 0.16.1
statsmodels: 0.6.1
xarray: None
IPython: 4.0.0
sphinx: None
patsy: 0.4.1
dateutil: 2.5.2
pytz: 2016.3
blosc: None
bottleneck: 1.0.0
tables: None
numexpr: 2.4.6
matplotlib: 1.5.0
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.8
boto: None
