BUG: wrong type is returned by iat[] for date time series

[yonil7]

These return object of type class pandas.tslib.Timestamp:

    print type(pd.Series(['2014-01-01', '2014-02-02'], dtype='datetime64[ns]')[0])
    print type(pd.Series(['2014-01-01', '2014-02-02'], dtype='datetime64[ns]').min())

but using iat[] returns object of type type numpy.datetime64:

    print type(pd.Series(['2014-01-01', '2014-02-02'], dtype='datetime64[ns]').iat[0])

[jreback]

pls post pd.show_versions()

(this is a bug in any event), not boxing the return type

[yonil7]

INSTALLED VERSIONS

commit: None
python: 2.7.5.final.0
python-bits: 64
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 60 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None

pandas: 0.14.0
nose: 1.3.0
Cython: 0.19.1
numpy: 1.8.1
scipy: 0.14.0
statsmodels: 0.5.0
IPython: 1.0.0
sphinx: 1.1.3
patsy: 0.2.1
scikits.timeseries: None
dateutil: 2.2
pytz: 2014.4
bottleneck: 0.8.0
tables: 3.1.1
numexpr: 2.3.1
matplotlib: 1.3.1
openpyxl: 1.8.5
xlrd: 0.9.3
xlwt: 0.7.5
xlsxwriter: 0.5.5
lxml: 3.3.5
bs4: 4.3.1
html5lib: None
bq: None
apiclient: None
rpy2: None
sqlalchemy: 0.9.6
pymysql: None
psycopg2: None