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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
Here is an example: import pandas as pd df = pd.DataFrame({ 'A': [5, 15, 10, 8], 'B': [20, 3, 7, 12] }) result = (df >= 10) | (df['A'] >= 10) result
The output:
A B 0 1 2 3
0 False True False False False False
1 True False False False False False
2 True False False False False False
3 False True False False False False
Issue Description
- I would expect the results in column
1and column2to beTruesince it's an|operation between dataframe and series. - Could you please direct me to the appropriate user manual? I couldn't locate the one that explains the logical operations between a pandas DataFrame and a Series.
Thanks a lot!
Expected Behavior
I would expect the results in column 1 and column 2 to be True since it's an | operation between dataframe and series.
Installed Versions
INSTALLED VERSIONS
commit : 0691c5c
python : 3.10.15
python-bits : 64
OS : Linux
OS-release : 6.9.10-1rodete5-amd64
Version : #1 SMP PREEMPT_DYNAMIC Debian 6.9.10-1rodete5 (2024年09月04日)
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.3
numpy : 2.1.1
pytz : 2024.2
dateutil : 2.9.0.post0
pip : 24.2
Cython : None
sphinx : None
IPython : 8.28.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : 202490
html5lib : None
hypothesis : None
gcsfs : 202490post1
jinja2 : 3.1.4
lxml.etree : None
matplotlib : 3.9.2
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : 0.24.0
psycopg2 : None
pymysql : None
pyarrow : 17.0.0
pyreadstat : None
pytest : 8.3.3
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.14.1
sqlalchemy : 2.0.36
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2024.2
qtpy : None
pyqt5 : None