DataFrame apply get same result for each columns
#### Code Sample:

```python
df = DataFrame({'a': range(10), 'b': range(20, 30), 'c': range(30, 40)})
df.apply(lambda x: [x])

out[]:
a    [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]
b    [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]
c    [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]
```
#### Problem description
Apply get same result for each columns, I think it should not!

#### Expected Output
a    [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]
b    [[20, 21, 22, 23, 24, 25, 26, 27, 28, 29]]
c    [[30, 31, 32, 33, 34, 35, 36, 37, 38, 39]]

#### Output of ``pd.show_versions()``

<details>
# Paste the output here pd.show_versions() here
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.12.final.0
python-bits: 64
OS: Linux
OS-release: 4.4.0-79-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: zh_CN.UTF-8
LOCALE: None.None

pandas: 0.19.2
nose: 1.3.7
pip: 9.0.1
setuptools: 35.0.2
Cython: None
numpy: 1.12.1
scipy: 0.18.0
statsmodels: 0.6.1
xarray: None
IPython: 5.3.0
sphinx: 1.4.6
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2017.2
blosc: None
bottleneck: None
tables: 3.2.2
numexpr: 2.4.3
matplotlib: 1.5.2
openpyxl: 2.4.0
xlrd: 1.0.0
xlwt: 1.1.2
xlsxwriter: 0.9.6
lxml: 3.6.4
bs4: 4.5.1
html5lib: 0.999999999
httplib2: None
apiclient: None
sqlalchemy: 1.1.9
pymysql: None
psycopg2: None
jinja2: 2.9.6
boto: None
pandas_datareader: None
</details>
