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Reproducible Example

import numpy as np import pandas as pd a = pd.DataFrame({"or":[False,True], "a":[True,True], "b":[True, False]}) # fails with: ValueError: cannot reindex on an axis with duplicate labels np.logical_or(a[["a","b"]], a[2*["or"]]) # Erratic unpredictable behaviour with no fail :( np.logical_or(a[["a","b"]], a[["or","a"]])

Issue Description

This used to work in pandas 1.x as a element wise logical operation, now is not working anymore. Even worst in some cases may be completely overlooked as it doesn't raise errors but another df with mixed nans and booleans

Expected Behavior

logical element wise operation that returns two colums with booleans

Installed Versions