Segmentation fault
When doing some data analysis with pandas, the python shell breaks and I get "Segmentation fault (core dumped)".
A little bit hard to reproduce since this only happens when the work i'm doing is a little bit heavy.
But basically, I'm just reading dataframes and using stuff like groupby(), apply(), .loc[x, y], itertuples() and regular slicing. I'm not writing to or updating a dataframe, just reading and transforming. 

Also, I did some memory profiling and there appears to be no memory leak (memory peak stable at ~166MB)
#### output of `pd.show_versions()`

commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Linux
OS-release: 3.19.0-56-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8

pandas: 0.17.0
nose: 1.3.4
pip: 6.0.6
setuptools: 20.3.1
Cython: 0.23.4
numpy: 1.11.0
scipy: 0.16.1
statsmodels: 0.6.1
IPython: 4.1.2
sphinx: None
patsy: 0.4.1
dateutil: 2.4.0
pytz: 2014.10
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: 1.5.0
openpyxl: 2.3.1
xlrd: None
xlwt: None
xlsxwriter: None
lxml: 3.4.0
bs4: None
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 0.9.8
pymysql: None
psycopg2: 2.5.4 (dt dec pq3 ext)
