equals method of dataframe doesn't return the same as (df1 == df2).all().all()
I have created two dataframes with earthquake data that I am trying to compare. The elements in the dataframes should be equal. The files are attached below.

[broken_df.zip](https://github.com/pydata/pandas/files/241604/broken_df.zip)
#### Code Sample, a copy-pastable example if possible

``` python
import pandas as pd
df1 = pd.read_pickle('d1.pkl') # these files are attached in the .zip
df2 = pd.read_pickle('d2.pkl') 
df1.equals(df2) # returns False
(df1 == df2).all().all() # returns True
```

However, If I save the dataframes as csv files (also attached), load them and rerun the same code it returns True for both checks as expected.  
#### Expected Output

``` Python
True
True
```
#### output of ``pd.show_versions()
## INSTALLED VERSIONS

commit: None
python: 2.7.11.final.0
python-bits: 64
OS: Linux
OS-release: 3.13.0-85-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8

pandas: 0.17.1
nose: 1.3.7
pip: 8.1.0
setuptools: 20.7.0
Cython: 0.23.4
numpy: 1.10.4
scipy: 0.17.0
statsmodels: None
IPython: 4.0.3
sphinx: 1.3.5
patsy: 0.4.0
dateutil: 2.4.2
pytz: 2015.7
blosc: None
bottleneck: 1.0.0
tables: 3.2.2
numexpr: 2.4.6
matplotlib: 1.5.1
openpyxl: 2.3.2
xlrd: 0.9.4
xlwt: 1.0.0
xlsxwriter: 0.8.4
lxml: 3.5.0
bs4: 4.4.1
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.0.11
pymysql: None
psycopg2: None
Jinja2: None
