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Segmentation fault after set_categories() #24675

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henlue opened this issue Jan 8, 2019 · 2 comments

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@henlue
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commented Jan 8, 2019

Code Sample, a copy-pastable example if possible

>>> import pandas as pd
>>> s = pd.Series(['A', 'B']).astype('category').cat.set_categories(['A'], rename=True)
>>> print(s)
Segmentation fault

Problem description

The segmentation fault occurs,

  • if set_categories() is called with fewer new categories than original categories
  • and rename is set true
  • as soon as the data is accessed.

Output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 3.6.4.final.0
python-bits: 64
OS: Linux
OS-release: 3.10.0-957.1.3.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8

pandas: 0.23.4
pytest: None
pip: 18.1
setuptools: 40.6.3
Cython: None
numpy: 1.15.4
scipy: None
pyarrow: None
xarray: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.7.5
pytz: 2018.9
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: None
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

@WillAyd

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commented Jan 8, 2019

Thanks for the report. Investigation and PRs are always welcome!

@WillAyd WillAyd added this to the Contributions Welcome milestone Jan 8, 2019

@jschendel

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commented Jan 8, 2019

Simplifying a little, the same thing happens when working directly with a Categorical:

pd.Categorical(['A', 'B']).set_categories(['A'], rename=True)
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