API: Series[Float64] == False

[jbrockmendel]

Pandas version checks

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• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

ser = pd.Series([0], dtype="Float64")
>>> ser == False
0    True
dtype: boolean

Issue Description

NA

Expected Behavior

I would expect this to be stricter in type-safety. The lack of strictness necessitates special-casing in mask_missing (called from Block.replace).

Note that these also compare as equal for numpy float64 and float64[pyarrow]

Installed Versions

Replace this line with the output of pd.show_versions()

[rhshadrach]

This impacts all dtypes (bool, int, float) with all storage types (NumPy, PyArrow) I believe. NumPy and Polars also behave the same way - giving True as the result. While I don't necessarily disagree with the idea of not allowing Boolean and float to compare as equal, it seems like we might be creating a new special behavior by doing so.

[jbrockmendel]

Fair point, not worth it for the foreseeable future. Closing.