jupyter notebook kernel crashes when doing groupby, having one row with NaN

Code Sample, a copy-pastable example if possible

df.groupby('City').count()['Bib'].sort_values(ascending=False).head(20)

Problem description

Data set has 26630 rows and one row of df[“City”] has a NaN. The jupyter notebook kernel crashes.

Expected Output

A list of the top 20 cities is expected here.

df[df[‘City’].notnull()].groupby(‘City’).count()[‘Bib’].sort_values(ascending=False).head(20)

produces the expected output.

https://github.com/rojour/boston_results

Output of pd.show_versions()

INSTALLED VERSIONS

commit: None python: 3.5.2.final.0 python-bits: 64 OS: Darwin OS-release: 16.5.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8

pandas: 0.19.2 nose: 1.3.7 pip: 9.0.1 setuptools: 27.2.0 Cython: 0.25.2 numpy: 1.11.3 scipy: 0.18.1 statsmodels: 0.6.1 xarray: None IPython: 5.1.0 sphinx: 1.5.1 patsy: 0.4.1 dateutil: 2.6.0 pytz: 2016.10 blosc: None bottleneck: 1.2.0 tables: 3.3.0 numexpr: 2.6.1 matplotlib: 2.0.0 openpyxl: 2.4.1 xlrd: 1.0.0 xlwt: 1.2.0 xlsxwriter: 0.9.6 lxml: 3.7.2 bs4: 4.5.3 html5lib: None httplib2: None apiclient: None sqlalchemy: 1.1.5 pymysql: None psycopg2: None jinja2: 2.9.4 boto: 2.45.0 pandas_datareader: 0.2.1

[jorisvandenbossche]

With the same versions, but on Windows, I cannot reproduce this (EDIT: same on linux)

[mroeschke]

It appears that this issue is not reproducible and our testing suite doesn’t support jupyter kernels. Unless we receive more specific information to reproduce the issue, going to close.