Pandas 'Series' object has no attribute 'items' on Python 2.7

Code Sample, a copy-pastable example if possible

Running on the REPL with Python 2.7:

Python 2.7.13 |Continuum Analytics, Inc.| (default, Dec 20 2016, 23:05:08)
[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org
>>> import pandas as pd
>>> s = pd.Series([1, 2, 3])
>>> for _, x in s.items():
...     print(x)
...
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/depalati/miniconda3/envs/py27/lib/python2.7/site-packages/pandas/core/generic.py", line 2966, in __getattr__
    return object.__getattribute__(self, name)
AttributeError: 'Series' object has no attribute 'items'

On Python 3.6:

Python 3.6.2 |Continuum Analytics, Inc.| (default, Jul 20 2017, 13:14:59)
[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import pandas as pd
>>> s = pd.Series([1, 2, 3])
>>> for _, x in s.items():
...     print(x)
...
1
2
3
>>>

Problem description

The Series.items method is mysteriously absent on Python 2.7, though Series.iteritems works fine on both legacy and modern Python.

Expected Output

Series.items should iterate over (index, value) tuples.

Output of pd.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 2.7.13.final.0 python-bits: 64 OS: Darwin OS-release: 16.0.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: None.None pandas: 0.20.3 pytest: 3.2.1 pip: 9.0.1 setuptools: 27.2.0 Cython: None numpy: 1.11.3 scipy: 0.18.1 xarray: None IPython: 5.1.0 sphinx: None patsy: None dateutil: 2.6.0 pytz: 2017.2 blosc: None bottleneck: None tables: 3.3.0 numexpr: 2.6.1 feather: None matplotlib: 1.5.1 openpyxl: None xlrd: None xlwt: None xlsxwriter: None lxml: None bs4: None html5lib: None sqlalchemy: None pymysql: None psycopg2: None jinja2: 2.9.4 s3fs: None pandas_gbq: None pandas_datareader: None

Comment From: TomAugspurger

This was fixed (recently) in https://github.com/pandas-dev/pandas/pull/17214 and will be in the next release.

Comment From: mivade

Thanks!