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Arrowpyarrow functionalitypyarrow functionalityDtype ConversionsUnexpected or buggy dtype conversionsUnexpected or buggy dtype conversionsEnhancement
Description
Feature Type
-
Adding new functionality to pandas
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Changing existing functionality in pandas
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Removing existing functionality in pandas
Problem Description
Currently df.convert_dtypes() will convert to nullable types (Int64, Boolean, etc), but it would be nice if there was an option to opt into the pyarrow-backed nullable types via pd.ArrowDtype
Feature Description
Maybe either
- New keyword argument
nullable_type="pandas"|"pyarrow" - Refactor
io.nullable_backendglobal setting tomode.nullable_backendand allow that global config to apply todf.convert_dtypes
Alternative Solutions
For loop over the existing DataFrame object using astype and constructing pd.ArrowDtype?
Additional Context
No response
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Arrowpyarrow functionalitypyarrow functionalityDtype ConversionsUnexpected or buggy dtype conversionsUnexpected or buggy dtype conversionsEnhancement