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Description
Disclaimer: I'm not quite sure if the problem is really on pandas' side or on jupyter's.
I have seen #4561 but this isn't the same problem.
Code Sample, a copy-pastable example if possible
Given the following code:
import pandas as pd
pd.read_clipboard()
If I use it in a python file, it works fine.
If I use ipython in cmd.exe, it works fine.
Now if I use it in a Jupyter notebook, it consistently makes my kernel die.
output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.5.2.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 60 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
pandas: 0.18.1
nose: 1.3.7
pip: 8.1.2
setuptools: 25.1.6
Cython: 0.24.1
numpy: 1.11.1
scipy: 0.18.0
statsmodels: 0.6.1
xarray: None
IPython: 5.0.0
sphinx: 1.3.1
patsy: 0.4.1
dateutil: 2.5.3
pytz: 2016.6.1
blosc: None
bottleneck: None
tables: 3.2.2
numexpr: 2.6.1
matplotlib: 1.5.1
openpyxl: 2.3.2
xlrd: 1.0.0
xlwt: 1.1.2
xlsxwriter: 0.9.2
lxml: 3.6.1
bs4: 4.4.1
html5lib: 0.9999999
httplib2: None
apiclient: None
sqlalchemy: 1.0.13
pymysql: None
psycopg2: None
jinja2: 2.8
boto: 2.40.0
pandas_datareader: 0.2.1
Jupyter info:
jupyter 1.0.0 py35_3
jupyter_client 4.3.0 py35_0
jupyter_console 5.0.0 py35_0
jupyter_core 4.1.0 py35_0
ipython 5.0.0 py35_0
ipython-notebook 4.0.4 py35_3
ipython-qtconsole 4.0.1 py35_4
ipython_genutils 0.1.0 py35_0