Grouping by index and column fails on DataFrame with single index
Referenced in #5677
#### Example

The following snippet shows how a MultiIndex DataFrame (`df`) may be grouped by a combination of a column (`B`) and a named index level (`inner`) using a `Grouper` object.

``` python
import pandas as pd
import numpy as np

idx = pd.MultiIndex.from_tuples([('a', 1), ('a', 2), ('a', 3), ('b', 1), ('b', 2), ('b', 3)])
idx.names = ['outer', 'inner']
df = pd.DataFrame({"A": np.arange(6), 'B': ['one', 'one', 'two', 'two', 'one', 'one']}, index=idx)

In [1]: df
Out[1]: 
             A    B
outer inner        
a     1      0  one
      2      1  one
      3      2  two
b     1      3  two
      2      4  one
      3      5  one

In [2]: df.groupby(['B', pd.Grouper(level='inner')]).mean()
Out [2]: 
             A
B   inner     
one 1      0.0
    2      2.5
    3      5.0
two 1      3.0
    3      2.0
```

However, when the DataFrame (`df2`) has only a single index level an `AttributeError` is thrown

``` python
In [3]: df2 = df.reset_index('outer')

In [4]: df2
Out [4]: 
      outer  A    B
inner              
1         a  0  one
2         a  1  one
3         a  2  two
1         b  3  two
2         b  4  one
3         b  5  one

In [5]: df2.groupby(['B', pd.Grouper(level='inner')]).mean()  

...
AttributeError: 'Int64Index' object has no attribute 'labels'
```
#### Expected Output

``` python
In [2]: df2.groupby(['B', pd.Grouper(level='inner')]).mean()
Out [2]: 
             A
B   inner     
one 1      0.0
    2      2.5
    3      5.0
two 1      3.0
    3      2.0
```
#### Output of `pd.show_versions()`

<details>

```
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: None
LANG: en_US.UTF-8

pandas: 0.18.1
nose: 1.3.7
pip: 8.1.2
setuptools: 23.0.0
Cython: 0.24
numpy: 1.11.1
scipy: 0.17.1
statsmodels: 0.6.1
xarray: None
IPython: 4.2.0
sphinx: 1.4.1
patsy: 0.4.1
dateutil: 2.5.3
pytz: 2016.4
blosc: 1.4.1
bottleneck: 1.1.0
tables: 3.2.2
numexpr: 2.6.0
matplotlib: 1.5.1
openpyxl: 2.3.2
xlrd: 1.0.0
xlwt: 1.1.2
xlsxwriter: 0.9.2
lxml: 3.6.0
bs4: 4.4.1
html5lib: 0.999
httplib2: None
apiclient: None
sqlalchemy: 1.0.13
pymysql: None
psycopg2: None
jinja2: 2.8
boto: 2.40.0
pandas_datareader: None
```

</details>
