BUG: ValueError when printing a DataFrame's column having a DataFrame in its attrs · Issue #60568 · pandas-dev/pandas (original) (raw)

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Description

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Reproducible Example

import pandas as pd import numpy as np

n=50

a = pd.DataFrame(np.random.randint(0, 10, size=(n,n))) b = pd.DataFrame(np.random.randint(0, 10, size=(5,5)))

a.attrs['b'] = b

a[0]

Issue Description

same error as in #60455 (which was already solved for DataFrames by #60459) but here output is a Series

Expected Behavior

selected column is printed abbreviated form, no KeyError

Traceback (most recent call last): File "", line 1, in File "/py/envs/pandas-dev/lib/python3.10/site-packages/pandas/core/series.py", line 1437, in __repr__ return self.to_string(**repr_params) File "/py/envs/pandas-dev/lib/python3.10/site-packages/pandas/util/_decorators.py", line 332, in wrapper return func(*args, **kwargs) File "/py/envs/pandas-dev/lib/python3.10/site-packages/pandas/core/series.py", line 1534, in to_string formatter = fmt.SeriesFormatter( File "/py/envs/pandas-dev/lib/python3.10/site-packages/pandas/io/formats/format.py", line 226, in __init__ self._chk_truncate() File "/py/envs/pandas-dev/lib/python3.10/site-packages/pandas/io/formats/format.py", line 248, in _chk_truncate series = concat((series.iloc[:row_num], series.iloc[-row_num:])) File "/py/envs/pandas-dev/lib/python3.10/site-packages/pandas/core/reshape/concat.py", line 440, in concat return _get_result( File "/py/envs/pandas-dev/lib/python3.10/site-packages/pandas/core/reshape/concat.py", line 547, in _get_result return result.__finalize__( File "/py/envs/pandas-dev/lib/python3.10/site-packages/pandas/core/generic.py", line 6070, in __finalize__ have_same_attrs = all(obj.attrs == attrs for obj in objs[1:]) File "/py/envs/pandas-dev/lib/python3.10/site-packages/pandas/core/generic.py", line 6070, in have_same_attrs = all(obj.attrs == attrs for obj in objs[1:]) File "/py/envs/pandas-dev/lib/python3.10/site-packages/pandas/core/generic.py", line 1496, in __bool__ raise ValueError( ValueError: The truth value of a DataFrame is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

Installed Versions

INSTALLED VERSIONS ------------------ commit : 9501650python : 3.10.16 python-bits : 64 OS : Linux OS-release : 6.11.10-2-MANJARO Version : #1 SMP PREEMPT_DYNAMIC Mon, 25 Nov 2024 05:29:44 +0000 machine : x86_64 processor : byteorder : little LC_ALL : None LANG : de_DE.UTF-8 LOCALE : de_DE.UTF-8

pandas : 0+untagged.1.g9501650
numpy : 1.26.4
dateutil : 2.9.0.post0
pip : 24.3.1
Cython : 3.0.11
sphinx : 8.1.3
IPython : 8.30.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
blosc : None
bottleneck : 1.4.2
fastparquet : 2024.11.0
fsspec : 2024.10.0
html5lib : 1.1
hypothesis : 6.122.3
gcsfs : 2024.10.0
jinja2 : 3.1.4
lxml.etree : 5.3.0
matplotlib : 3.9.4
numba : 0.60.0
numexpr : 2.10.2
odfpy : None
openpyxl : 3.1.5
psycopg2 : 2.9.9
pymysql : 1.4.6
pyarrow : 18.1.0
pyreadstat : 1.2.8
pytest : 8.3.4
python-calamine : None
pytz : 2024.2
pyxlsb : 1.0.10
s3fs : 2024.10.0
scipy : 1.14.1
sqlalchemy : 2.0.36
tables : 3.10.1
tabulate : 0.9.0
xarray : 2024.9.0
xlrd : 2.0.1
xlsxwriter : 3.2.0
zstandard : 0.23.0
tzdata : 2024.2
qtpy : None
pyqt5 : None