Resampler.__iter__() not working

[DeoLeung]

Code Sample, a copy-pastable example if possible

for i, k in df.resample('W-MON'):
    print(i, k)

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-60-5ca9218261db> in <module>()
----> 1 for i, k in df.resample('W-MON'):
      2     print(i, k)
      3     break

/xxx/lib/python3.5/site-packages/pandas/core/groupby.py in __iter__(self)
    629         for each group
    630         """
--> 631         return self.grouper.get_iterator(self.obj, axis=self.axis)
    632
    633     @Substitution(name='groupby')

AttributeError: 'NoneType' object has no attribute 'get_iterator'

Problem description

can't iterate the resampler's key and grouped dataframe

Expected Output

iterate the resampler's key and the grouped dataframe, now workaround

for key in df.resample('W-MON').groups.keys():
  try:
    print(key, df.resample('W-MON').get_group(key))
  except KeyError:
    continue

Output of pd.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.5.2.final.0 python-bits: 64 OS: Darwin OS-release: 15.6.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: en_GB.UTF-8 LANG: en_GB.UTF-8 LOCALE: en_GB.UTF-8

pandas: 0.19.2
nose: None
pip: 9.0.1
setuptools: 30.2.0
Cython: 0.25.2
numpy: 1.12.0
scipy: 0.18.1
statsmodels: None
xarray: None
IPython: 5.1.0
sphinx: 1.5.1
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2016.10
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: 1.5.3
openpyxl: 2.4.1
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: 0.9999999
httplib2: None
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: 2.6.2 (dt dec pq3 ext lo64)
jinja2: 2.8
boto: None
pandas_datareader: None

---

update the workaround a bit

[jreback]

this was never implemented; I suppose it could for compat. If you'd like to put up a PR would be fine. Needs tests, and the impl described above will not work very well, need to do it similar to how groupby works.

[DeoLeung]

good, will have a try this weekend if I can figure it out

also the doc shall be updated, it's pointed to the groupby iter