read_msgpack is returning empty list
#### A small, complete example of the issue

``` python
"""Example of Pandas bug."""
from numpy.random import randn
from pandas import DataFrame, read_msgpack

POWER = 6
ROWS = 10 ** POWER
COLS = 280
SIZE = ROWS * COLS
# COL_NAMES = ['Columns']

print('rows: {:,}; cols: {}; data points: {:,}; float memory (bytes): {:,}; '
      'float memory (GiB): {:.3}'.format(ROWS, COLS, SIZE, SIZE * 8,
                                         float(SIZE * 8) / 1024 / 1024 / 1024))

DTF = DataFrame(randn(ROWS, COLS))  # , columns=COL_NAMES
print(DTF)
DTF.to_msgpack('foobar_{}.msg'.format(POWER))
print('Reading exercise')
DTF2 = read_msgpack('foobar_{}.msg'.format(POWER))
print(DTF2)
```
#### Current Output

```
rows: 1,000,000; cols: 280; data points: 280,000,000; float memory (bytes): 2,240,000,000; float memory (GiB): 2.09
        0         1         2         3         4         5         6    \
0 -0.026045  1.102096  0.702563 -1.508039  0.308464  0.504351  2.887272   

        7        8         9      ...          270      271       272    273  \
0 -0.700034 -0.11521 -0.447198    ...    -0.566173  0.16131 -0.581333 -0.362   

        274      275       276       277       278       279  
0 -1.433336  0.60287  0.799355  0.628572  0.542312 -0.410359  

[1 rows x 280 columns]
Reading exercise
Traceback (most recent call last):
  File "../bug/pandas_bug6.py", line 20, in <module>
    print(DTF2.head(1))
AttributeError: 'list' object has no attribute 'head'
```
#### Expected Output

```
rows: 1,000,000; cols: 280; data points: 280,000,000; float memory (bytes): 2,240,000,000; float memory (GiB): 2.09
        0         1         2         3         4         5         6    \
0 -0.026045  1.102096  0.702563 -1.508039  0.308464  0.504351  2.887272   

        7        8         9      ...          270      271       272    273  \
0 -0.700034 -0.11521 -0.447198    ...    -0.566173  0.16131 -0.581333 -0.362   

        274      275       276       277       278       279  
0 -1.433336  0.60287  0.799355  0.628572  0.542312 -0.410359  

[1 rows x 280 columns]
Reading exercise
        0         1         2         3         4         5         6    \
0 -0.026045  1.102096  0.702563 -1.508039  0.308464  0.504351  2.887272   

        7        8         9      ...          270      271       272    273  \
0 -0.700034 -0.11521 -0.447198    ...    -0.566173  0.16131 -0.581333 -0.362   

        274      275       276       277       278       279  
0 -1.433336  0.60287  0.799355  0.628572  0.542312 -0.410359  

[1 rows x 280 columns]
```
#### Output of `pd.show_versions()`

<details>
## INSTALLED VERSIONS

commit: None
python: 2.7.10.final.0
python-bits: 64
OS: Darwin
OS-release: 16.0.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: None

pandas: 0.18.1
nose: None
pip: 8.1.2
setuptools: 18.5
Cython: None
numpy: 1.8.0rc1
scipy: 0.13.0b1
statsmodels: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 1.5
pytz: 2013.7
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: 1.3.1
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
boto: None
pandas_datareader: None
None
</details>
