Comments (2)
asishm
commented on June 1, 2024
You can use pd.Series.convert_dtypes to achieve this.
In [39]: pd.Series([pd.NA, 1]).convert_dtypes().dtype
Out[39]: Int64Dtype()That said, None does get converted to nan in pd.Series([None, 1]) and gets assigned a float dtype. pd.NA having similar behavior would make sense.
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mroeschke
commented on June 1, 2024
#58243 is discussing the path for nullable types being returned by default.
Having one sentinel changing the returned dtype leads to value dependent behavior which pandas is trying to avoid, so I think this change would be better suited for the migration in #58243
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