BUG: pd.eval with engine="numexpr" fails with simple expressions with float literals · Issue #59736 · pandas-dev/pandas (original) (raw)

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Reproducible Example

import pandas as pd pd.eval("1/2", engine="numexpr")

Issue Description

This throws an exception

ValueError: Expression (np.float64(1.0)) / (np.float64(2.0)) has forbidden control characters.

Changing engine to "python" makes it work again. Strangely, replacing the division with any other operator also fixes things. I tried this in a clean venv with just the minimal packages installed.

This is similar to older #54542 but different. If I try to run the expression pandas is generating directly in numexpr I get the same error. Using sanitize=False is not enough to make it work however

import numexpr as ne ne.evaluate("(np.float64(1.0)) / (np.float64(2.0))", sanitize=False)

This leads to a different exception: AttributeError: 'VariableNode' object has no attribute 'float64'.

Not sure if this is really a bug in pandas or numexpr. It seems related to numpy 2.0 as well.

Expected Behavior

It should just return 0.5.

Installed Versions

INSTALLED VERSIONS

commit : d9cdd2e
python : 3.11.7.final.0
python-bits : 64
OS : Darwin
OS-release : 22.6.0
Version : Darwin Kernel Version 22.6.0: Mon Jun 24 01:25:37 PDT 2024; root:xnu-8796.141.3.706.2~1/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US
LOCALE : en_US.UTF-8

pandas : 2.2.2
numpy : 2.1.1
pytz : 2024.1
dateutil : 2.9.0.post0
setuptools : 65.5.0
pip : 24.2
Cython : None
pytest : None
hypothesis : 6.112.0
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 : 2.10.1
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : None
qtpy : None
pyqt5 : None