'items' can not be the column name of a DataFrame?

[WenWeiKun-byte]

Code Sample, a copy-pastable example if possible

df = pd.DataFrame({'items':[1,2,3], 'test': [2,3,4]})
df.items

Expected Output

0    1
1    2
2    3
Name: items, dtype: int64

Given Output

AttributeError: 'DataFrame' object has no attribute 'items'

output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 2.7.12.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 60 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None

pandas: 0.17.0
nose: 1.3.7
pip: 8.1.2
setuptools: 7.0
Cython: 0.24.1
numpy: 1.9.3
scipy: 0.16.0
statsmodels: 0.6.1
IPython: 5.0.0
sphinx: 1.4.1
patsy: 0.4.1
dateutil: 2.5.3
pytz: 2016.6.1
blosc: None
bottleneck: 1.0.0
tables: 3.2.2
numexpr: 2.4.4
matplotlib: 1.4.3
openpyxl: 2.3.2
xlrd: 1.0.0
xlwt: 1.1.2
xlsxwriter: 0.9.2
lxml: 3.6.1
bs4: 4.3.2
html5lib: 0.9999999
httplib2: None
apiclient: None
sqlalchemy: 1.0.13
pymysql: 0.6.6.None
psycopg2: None

[TomAugspurger]

Probably related to #13918

You should use df['items'] for accessing columns, df.items is a convenient shortcut, but may conflict with DataFrame methods. This one is a bit special since it's IIRC .items is a method on py3 but not py2.