Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import numpy as np
import pandas as pd
df = pd.DataFrame(np.empty((1, 33), dtype = object))
for col in df.columns:
df[col] = np.empty_like(df[col])
print(df)Issue Description
I first wanted to put out a thank you to all those that work on keeping pandas going! All of your contributions have helped so many, and I appreciate it.
When running the example code, a segfault occurs at the last line: print(df). I'm sure this wouldn't be the recommended approach to doing this, but I wanted to give a minimal example showing the issues that I had come across. Also, note that replacing df[col] = np.empty_like(df[col]) with df[col] = np.empty(len(df), dtype = df[col].dtype) prevents the issue from arising. But, based on the output of faulthandler (see below), I opted to submit it to the pandas team.
Current thread 0x00007fabaf0ba180 (most recent call first):
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/core/array_algos/take.py", line 163 in _take_nd_ndarray
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/core/array_algos/take.py", line 117 in take_nd
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/core/internals/blocks.py", line 1137 in take_nd
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/core/internals/managers.py", line 844 in _slice_take_blocks_ax0
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/core/generic.py", line 3916 in _slice
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/core/indexing.py", line 1533 in _get_slice_axis
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/core/indexing.py", line 1497 in _getitem_axis
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/core/indexing.py", line 827 in _getitem_tuple_same_dim
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/core/indexing.py", line 1462 in _getitem_tuple
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/core/indexing.py", line 961 in getitem
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/io/formats/format.py", line 806 in _truncate_horizontally
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/io/formats/format.py", line 790 in truncate
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/io/formats/string.py", line 185 in _fit_strcols_to_terminal_width
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/io/formats/string.py", line 49 in _get_string_representation
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/io/formats/string.py", line 25 in to_string
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/io/formats/format.py", line 1128 in to_string
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/core/frame.py", line 1192 in to_string
File "/home/me/sml-env/lib/python3.10/site-packages/pandas/core/frame.py", line 1011 in repr
File "/home/me/test.py", line 13 in
Extension modules: numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.strptime, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.tslib, pandas._libs.lib, pandas._libs.hashing, pandas._libs.ops, pandas._libs.arrays, pandas._libs.index, pandas._libs.join, pandas._libs.sparse, pandas._libs.reduction, pandas._libs.indexing, pandas._libs.internals, pandas._libs.writers, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.groupby, pandas._libs.testing, pandas._libs.parsers, pandas._libs.json (total: 54)
Expected Behavior
I would expect the dataframe would be able to print after updating the columns.
Installed Versions
INSTALLED VERSIONS
commit : 4bfe3d0
python : 3.10.4.final.0
python-bits : 64
OS : Linux
OS-release : 5.4.72-microsoft-standard-WSL2
Version : #1 SMP Wed Oct 28 23:40:43 UTC 2020
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.4.2
numpy : 1.22.3
pytz : 2022.1
dateutil : 2.8.2
pip : 22.0.4
setuptools : 58.1.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
markupsafe : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None