BUG: na_position ignored when sorting MultiIndex with level!=None · Issue #51612 · pandas-dev/pandas (original) (raw)

Pandas version checks

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• 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 df = pd.DataFrame([1,2],index=pd.MultiIndex.from_tuples([(1,1),(1,pd.NA)]))

df.sort_index()

0

1 1 1

NaN 2

df.sort_index(level=[0,1])

0

1 NaN 2

1 1

na_position seems to be ignored

df.sort_index(level=[0,1],na_position="last")

0

1 NaN 2

1 1

Issue Description

Sorting should be consistent whether or not all levels in level kwarg are provided. It appears that na_position is ignored when providing level.

Expected Behavior

na_position="last" should be the default behaviour no matter whether level is provided or not

Installed Versions

INSTALLED VERSIONS ------------------ commit : b69bd07python : 3.10.4.final.0 python-bits : 64 OS : Linux OS-release : 6.0.12-76060006-generic Version : #202212290932~1674139725~22.04~ca93ccf SMP PREEMPT_DYNAMIC Thu J machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8

pandas : 2.1.0.dev0+47.gb69bd0755d
numpy : 1.23.5
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 65.6.3
pip : 23.0
Cython : None
pytest : 7.2.0
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.8.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2022.11.0
gcsfs : None
matplotlib : 3.6.2
numba : 0.56.4
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : 2022.11.0
scipy : 1.9.3
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : None
qtpy : None
pyqt5 : None