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When converting a multiindexed series to a numpy array, it works correctly when no na_value is specified. But when an na_value is specified, even if the series has no NA values, it errors.
Digging into this issue, when na_value is specified, a branch is taken which sets the na_value in the numpy array. result[self.isna()] = na_value
However, the numpy result array cannot understand the multiindex of the self.isna() multi-indexed array.
The Pull Request #45775 is one possibility to address this issue.
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Reproducible Example
Issue Description
When converting a multiindexed series to a numpy array, it works correctly when no
na_value
is specified. But when anna_value
is specified, even if the series has no NA values, it errors.Digging into this issue, when
na_value
is specified, a branch is taken which sets thena_value
in the numpy array.result[self.isna()] = na_value
However, the numpy
result
array cannot understand the multiindex of theself.isna()
multi-indexed array.The Pull Request #45775 is one possibility to address this issue.
Expected Behavior
Installed Versions
The
pd.show_versions()
produces an error, but below are the versions of the relevant packages.pandas 1.5.0.dev0+268.gbe8d1ec880 dev_0 # Installed locally
numpy 1.22.0 pypi_0 pypi
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