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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 numpy as np
import pandas as pd
x = pd.DataFrame(
np.arange(30).reshape(5, 6),
columns=pd.MultiIndex.from_product((list("XY"), list("ABC"))),
)
y = pd.DataFrame(np.arange(15).reshape(5, 3), columns=list("ABC"))
print(x.div(y, axis=1, level=1))Issue Description
Pandas v3.0.1 gives the below output, seemingly ignoring the axis kwarg:
X Y
A B C A B C
0 NaN NaN NaN NaN NaN NaN
1 NaN NaN NaN NaN NaN NaN
2 NaN NaN NaN NaN NaN NaN
3 NaN NaN NaN NaN NaN NaN
4 NaN NaN NaN NaN NaN NaN
In Pandas v2.3.2 instead this was the (as expected) output:
X Y
A B C A B C
0 NaN 1.000000 1.000000 inf 4.000000 2.500000
1 2.0 1.750000 1.600000 3.000000 2.500000 2.200000
2 2.0 1.857143 1.750000 2.500000 2.285714 2.125000
3 2.0 1.900000 1.818182 2.333333 2.200000 2.090909
4 2.0 1.923077 1.857143 2.250000 2.153846 2.071429
Expected Behavior
X Y
A B C A B C
0 NaN 1.000000 1.000000 inf 4.000000 2.500000
1 2.0 1.750000 1.600000 3.000000 2.500000 2.200000
2 2.0 1.857143 1.750000 2.500000 2.285714 2.125000
3 2.0 1.900000 1.818182 2.333333 2.200000 2.090909
4 2.0 1.923077 1.857143 2.250000 2.153846 2.071429
Installed Versions
Details
INSTALLED VERSIONS
commit : e04b26f
python : 3.12.11
python-bits : 64
OS : Linux
OS-release : 4.18.0-553.97.1.el8_10.x86_64
Version : #1 SMP Mon Jan 26 05:26:16 EST 2026
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 3.0.1
numpy : 2.3.3
dateutil : 2.9.0.post0
pip : None
Cython : None
sphinx : None
IPython : 9.5.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.13.5
bottleneck : None
fastparquet : None
fsspec : 2025.9.0
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.6
lxml.etree : 6.0.2
matplotlib : 3.10.6
numba : 0.62.0
numexpr : None
odfpy : None
openpyxl : 3.1.5
psycopg2 : 2.9.10
pymysql : None
pyarrow : 17.0.0
pyiceberg : None
pyreadstat : None
pytest : 8.4.2
python-calamine : None
pytz : 2025.2
pyxlsb : None
s3fs : 2025.9.0
scipy : 1.16.2
sqlalchemy : 2.0.43
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
qtpy : None
pyqt5 : None