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Description
Pandas version checks
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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.
Issue Description
Adding win_type='exponential'
to a rolling function drops the first column level.
Reproducible Example
import numpy as np
import pandas as pd
df = pd.DataFrame(
index=pd.date_range('2024-01-01', periods=1),
columns=pd.MultiIndex.from_product([('A', 'B'), ('a', 'b')])
)
# the input multi-index column df
df
# the broken output with a missing first column level
df.rolling(5, min_periods=2, win_type='exponential').mean()
Expected Behavior
.rolling(...).mean(...)
should always keep the original indexes.
Installed Versions
pandas==2.2.2
scipy==1.13.0
pandas : 2.2.2
numpy : 1.26.4
pytz : 2024.1
dateutil : 2.9.0.post0
setuptools : None
pip : 24.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.13.0
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2024.1
qtpy : None
pyqt5 : None