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BUG: AttributeError in pd.eval() when calling attribute after binary operation #61898

@ryantam626

Description

@ryantam626

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Reproducible Example

import pandas as pd


series1 = pd.Series([1,2,3,4,5])
series2 = pd.Series([2,3,5,1,2])

pd.eval(
    "(a / b).cumsum()",
    local_dict={"a": series1, "b": series2}
)

Issue Description

AttributeError: 'BinOp' object has no attribute 'value'

raised.

Expected Behavior

0    0.500000
1    1.166667
2    1.766667
3    5.766667
4    8.266667
dtype: float64

should yield this result.

Installed Versions

INSTALLED VERSIONS

commit : c888af6
python : 3.11.10
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19045
machine : AMD64
processor : Intel64 Family 6 Model 183 Stepping 1, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252

pandas : 2.3.1
numpy : 2.3.1
pytz : 2025.2
dateutil : 2.9.0.post0
pip : 25.1.1
Cython : None
sphinx : None
IPython : 9.4.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : None
lxml.etree : None
matplotlib : None
numba : None
numexpr : 2.11.0
odfpy : None
openpyxl : None
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : None
pyreadstat : None
pytest : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2025.2
qtpy : None
pyqt5 : None

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