Skip to content
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

BUG: SeriesGroupBy.apply sets name attribute if result is DataFrame #49907

Closed
3 tasks done
MarcoGorelli opened this issue Nov 25, 2022 · 3 comments · Fixed by #49908
Closed
3 tasks done

BUG: SeriesGroupBy.apply sets name attribute if result is DataFrame #49907

MarcoGorelli opened this issue Nov 25, 2022 · 3 comments · Fixed by #49908
Labels
Apply Apply, Aggregate, Transform Groupby Regression Functionality that used to work in a prior pandas version

Comments

@MarcoGorelli
Copy link
Member

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

def f(piece):
    return DataFrame({"value": piece, "demeaned": piece - piece.mean()})

df = pd.DataFrame({'a': [1,2,3], 'b': [4, 5, 5]})
res = df.groupby('a')['b'].apply(f)
print(res.name)

Issue Description

This prints 'b'. But .name shouldn't be an attribute of DataFrame...

Expected Behavior

AttributeError: 'DataFrame' object has no attribute 'name'

Installed Versions

INSTALLED VERSIONS

commit : 3b09765
python : 3.8.15.final.0
python-bits : 64
OS : Linux
OS-release : 5.10.102.1-microsoft-standard-WSL2
Version : #1 SMP Wed Mar 2 00:30:59 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8

pandas : 2.0.0.dev0+759.g3b09765bc9
numpy : 1.23.5
pytz : 2022.6
dateutil : 2.8.2
setuptools : 65.5.1
pip : 22.3.1
Cython : 0.29.32
pytest : 7.2.0
hypothesis : 6.58.0
sphinx : 4.5.0
blosc : None
feather : None
xlsxwriter : 3.0.3
lxml.etree : 4.9.1
html5lib : 1.1
pymysql : 1.0.2
psycopg2 : 2.9.3
jinja2 : 3.0.3
IPython : 8.6.0
pandas_datareader: 0.10.0
bs4 : 4.11.1
bottleneck : 1.3.5
brotli :
fastparquet : 2022.11.0
fsspec : 2021.11.0
gcsfs : 2021.11.0
matplotlib : 3.6.2
numba : 0.56.4
numexpr : 2.8.3
odfpy : None
openpyxl : 3.0.10
pandas_gbq : 0.17.9
pyarrow : 9.0.0
pyreadstat : 1.2.0
pyxlsb : 1.0.10
s3fs : 2021.11.0
scipy : 1.9.3
snappy :
sqlalchemy : 1.4.44
tables : 3.7.0
tabulate : 0.9.0
xarray : 2022.11.0
xlrd : 2.0.1
zstandard : 0.19.0
tzdata : None
qtpy : None
pyqt5 : None
None

@MarcoGorelli MarcoGorelli added Bug Groupby Apply Apply, Aggregate, Transform Regression Functionality that used to work in a prior pandas version labels Nov 25, 2022
@MarcoGorelli
Copy link
Member Author

This was fine in 1.4.4, so I'm labelling it as a regression

@MarcoGorelli MarcoGorelli changed the title BUG: groupby apply (lambda ...: DataFrame) sets name attribute BUG: SeriesGroupBy.apply sets name attribute if result is DataFrame Nov 25, 2022
@MarcoGorelli
Copy link
Member Author

MarcoGorelli commented Nov 25, 2022

Looks like this was caused by #46623

cc @ma3da (just FYI, no blame!)

@ma3da
Copy link
Contributor

ma3da commented Nov 29, 2022

👌 Still, sorry for the glitch!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Apply Apply, Aggregate, Transform Groupby Regression Functionality that used to work in a prior pandas version
Projects
None yet
Development

Successfully merging a pull request may close this issue.

2 participants