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>>> import pandas as pd >>> s = pd.Series(['A', 'B']).astype('category').cat.set_categories(['A'], rename=True) >>> print(s) Segmentation fault
The segmentation fault occurs,
set_categories()
pd.show_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
The text was updated successfully, but these errors were encountered:
Thanks for the report. Investigation and PRs are always welcome!
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Simplifying a little, the same thing happens when working directly with a Categorical:
Categorical
pd.Categorical(['A', 'B']).set_categories(['A'], rename=True)
Successfully merging a pull request may close this issue.
Code Sample, a copy-pastable example if possible
Problem description
The segmentation fault occurs,
set_categories()
is called with fewer new categories than original categoriesOutput 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
The text was updated successfully, but these errors were encountered: