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
data = {'A':[True,False,True],'1B':[True,True,False]}
df = pd.DataFrame(data)
expr = 'A & 1B'
result = df.eval(expr)Issue Description
The example above results in this error:
A +1 B
^
SyntaxError: invalid syntax
Expected Behavior
Prepending an underscore to the column name in both the dataframe and in the expression fixes the problem.
Since pandas allows column names to start with a digit, the .eval function should be able to process expressions with those columns.
import pandas as pd
data = {'A':[True,False,True],'_1B':[True,True,False]}
df = pd.DataFrame(data)
expr = 'A & _1B'
result = df.eval(expr)
print(result)
0 True
1 False
2 False
dtype: bool
Installed Versions
INSTALLED VERSIONS
commit : d9cdd2e
python : 3.12.4.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19045
machine : AMD64
processor : Intel64 Family 6 Model 154 Stepping 4, GenuineIntel
byteorder : little
LC_ALL : None
LANG : en
LOCALE : English_United Kingdom.1252
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 : 3.2.0
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : 8.25.0
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 : 16.1.0
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.13.1
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2024.1
qtpy : None
pyqt5 : None