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https://issues.apache.org/jira/browse/ARROW-2428?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16924959#comment-16924959
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Joris Van den Bossche commented on ARROW-2428:
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> It seems like the pandas glue can be part of the Python-side ExtensionType
> implementation,
Yes, but that might only solve part of the problem. I think it would be nice if
it is also possible to create a pandas ExtensionArray without having a pyarrow
ExtensionType (the "case 1" described above). Eg to roundtrip pandas' nullable
integer type, or a future string dtype (which both don't need an arrow
ExtensionType).
If we would want to support that, one option could be to go for a
{{PandasExtensionDtype.__constructor_from_arrow__}} that knows how to create an
ExtensionArray from an arrow array, and then a
{{pyarrow.ExtensionType.\_\_pandas_dtype\_\_}} that points to the pandas
extension dtype to use for this pyarrow ExtensionType
> [Python] Add API to map Arrow types (including extension types) to pandas
> ExtensionArray instances for to_pandas conversions
> ----------------------------------------------------------------------------------------------------------------------------
>
> Key: ARROW-2428
> URL: https://issues.apache.org/jira/browse/ARROW-2428
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Uwe L. Korn
> Priority: Major
> Fix For: 1.0.0
>
>
> With the next release of Pandas, it will be possible to define custom column
> types that back a {{pandas.Series}}. Thus we will not be able to cover all
> possible column types in the {{to_pandas}} conversion by default as we won't
> be aware of all extension arrays.
> To enable users to create {{ExtensionArray}} instances from Arrow columns in
> the {{to_pandas}} conversion, we should provide a hook in the {{to_pandas}}
> call where they can overload the default conversion routines with the ones
> that produce their {{ExtensionArray}} instances.
> This should avoid additional copies in the case where we would nowadays first
> convert the Arrow column into a default Pandas column (probably of object
> type) and the user would afterwards convert it to a more efficient
> {{ExtensionArray}}. This hook here will be especially useful when you build
> {{ExtensionArrays}} where the storage is backed by Arrow.
> The meta-issue that tracks the implementation inside of Pandas is:
> https://github.com/pandas-dev/pandas/issues/19696
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