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I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the main branch of pandas.
>>> import pandas as pd >>> sp = pd.arrays.SparseArray([1, np.nan]) >>> mapped = sp.map(lambda x: np.nan) >>> pd.isna(mapped.fill_value) True >>> pd.isna(mapped.sp_values)[0] True
The current implementation of SparseArray.map allows the fill value to be included in the sparse values, causing potential problems.
SparseArray.map
SparseArray.map It should raise or recalculate the sparse array.
Replace this line with the output of pd.show_versions()
The text was updated successfully, but these errors were encountered:
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Pandas version checks
I have checked that this issue has not already been reported.
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
Issue Description
The current implementation of
SparseArray.map
allows the fill value to be included in the sparse values, causing potential problems.Expected Behavior
SparseArray.map
It should raise or recalculate the sparse array.Installed Versions
Replace this line with the output of pd.show_versions()
The text was updated successfully, but these errors were encountered: