BUG: accept np.datetime64('NaT') in an object dtyped as a null

[jreback]

from SO

this should work

Out[3]: array([11, 22, 33, nan, numpy.datetime64('NaT')], dtype=object)

In [4]: pd.isnull(ser)
Out[4]: 
0    False
1    False
2    False
3     True
4    False
Name: my_series, dtype: bool

This could be updated: https://github.com/pydata/pandas/blob/master/pandas/tslib.pyx#L711, then lib.isnullobj then could use for null detection