-
-
Notifications
You must be signed in to change notification settings - Fork 18.6k
BUG: duplicated() raises error with singlton set as subset #61554
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Comments
take |
I verified it in the release build but not on the main branch, try running it on the main branch, the root issue might have been fixed already |
I think this issue should be able to be closed |
I have tried to set up a clone of the main branch but it does not build on my machine locally. So I cannot easily test if the issue has been resolved already or not. Have you tried? |
Thanks for raising the issue — it has been resolved on the main branch: >>> df = pd.DataFrame([{"a": "foo", "b": "bar"}])
>>> df.duplicated(subset={"a"}) # raises error
0 False
dtype: bool confirmed on >>> df = pd.DataFrame([{"a": "foo", "b": "bar"}])
>>> df.duplicated(subset={"a"}) # raises error
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/chilin/pandas-2.2.3/lib/python3.12/site-packages/pandas/core/frame.py", line 6961, in duplicated
result = self[subset[0]].duplicated(keep)
~~~~~~^^^
TypeError: 'set' object is not subscriptable |
The problem in Line 6961 in 2cc3762
The related PR(#59392) already changed and merge into main branch, and this issue has been classified under the 3.0 milestone, so I agree with @eicchen this issue should be closed. Line 6979 in c5457f6
|
Thanks! |
Pandas version checks
I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
Issue Description
Providing a singleton set to the subset parameter raises an error.
Expected Behavior
Should work normally without having to convert the input to list or tuple.
Installed Versions
INSTALLED VERSIONS
commit : 0691c5c
python : 3.12.3
python-bits : 64
OS : Linux
OS-release : 6.11.0-26-generic
Version : #26~24.04.1-Ubuntu SMP PREEMPT_DYNAMIC Thu Apr 17 19:20:47 UTC 2
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : de_DE.UTF-8
LOCALE : de_DE.UTF-8
pandas : 2.2.3
numpy : 2.2.0
pytz : 2024.2
dateutil : 2.9.0.post0
pip : 24.0
Cython : None
sphinx : None
IPython : 8.29.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.4
lxml.etree : 5.3.0
matplotlib : 3.9.2
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.5
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : None
pyreadstat : None
pytest : 8.3.3
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : 2.0.36
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2024.2
qtpy : None
pyqt5 : None
The text was updated successfully, but these errors were encountered: