Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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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
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