BUG: ListAccessor
does not preserve series name · Issue #60522 · pandas-dev/pandas (original) (raw)
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
import pandas as pd import pyarrow as pa
df = pd.DataFrame({ "a": [[1,2,3], [4,5]], "b": ["hello", "pandas"] }).astype({"a": pd.ArrowDtype(pa.list_(pa.int64()))})
df["a"].list.len().name, df["b"].str.len().name
(None, "b")
Issue Description
ListAccessor
nullifies the series name (list.len()
is just an example, other available methods lead to the same outcome).
Expected Behavior
Series name to be preserved, as per other accessor (see .str.len()
in the example)
Installed Versions
TL;DR for relevant:
pandas : 2.2.3
pyarrow : 18.1.0
numpy : 2.1.3
INSTALLED VERSIONS
commit : 0691c5c
python : 3.12.2
python-bits : 64
OS : Linux
OS-release : 5.15.133.1-microsoft-standard-WSL2
Version : #1 SMP Thu Oct 5 21:02:42 UTC 2023
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : C.UTF-8
pandas : 2.2.3
numpy : 2.1.3
pytz : 2024.2
dateutil : 2.9.0.post0
pip : None
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 : 2024.10.0
html5lib : None
hypothesis : 6.122.1
gcsfs : None
jinja2 : 3.1.4
lxml.etree : None
matplotlib : 3.9.3
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : 18.1.0
pyreadstat : None
pytest : 8.3.4
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.14.1
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : 2.0.1
xlsxwriter : None
zstandard : None
tzdata : 2024.2
qtpy : None
pyqt5 : None