Strange output from `DataFrame.apply` when applied func creates a dict
Just had something odd come up while trying to come up with something for [this SO question](http://stackoverflow.com/questions/26747689/mapping-pandas-dataframe-rows-to-a-pandas-series).

If we use `DataFrame.apply()` to try and create dictionaries from the rows of a dataframe, it seems to return the `dict.values()` method rather than returning the dict itself.

``` python
df = pd.DataFrame({'k': ['a', 'b', 'c'], 'v': [1, 2, 3]})
df.apply(lambda row: {row['k']: row['v']}, axis=1)
Out[52]: 
0    <built-in method values of dict object at 0x07...
1    <built-in method values of dict object at 0x03...
2    <built-in method values of dict object at 0x07...
dtype: object
```

Looks like it's probably something to do with trying to grab the `values` attribute when the output of the applied function is a Series or something similar.

Library versions:

```
pd.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.6.final.0
python-bits: 32
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 30 Stepping 5, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None

pandas: 0.15.0
nose: 1.3.4
Cython: 0.21
numpy: 1.9.0
scipy: 0.14.0
statsmodels: 0.5.0
IPython: 2.3.0
sphinx: 1.2.3
patsy: 0.3.0
dateutil: 1.5
pytz: 2014.7
bottleneck: None
tables: 3.1.1
numexpr: 2.3.1
matplotlib: 1.4.2
openpyxl: 1.8.5
xlrd: 0.9.3
xlwt: 0.7.5
xlsxwriter: 0.5.7
lxml: 3.4.0
bs4: 4.3.2
html5lib: 0.999
httplib2: None
apiclient: None
rpy2: None
sqlalchemy: 0.9.7
pymysql: None
psycopg2: None
```
