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Phillip Cloud commented on ARROW-1250: -------------------------------------- The thing here is that it's hard to enforce *only* this usage. I removed this from the public API because it's too easy to have an unpleasant experience with these types. They are really only for wrapping their C++ counterparts and about the only thing useful you can do with them within Python is type checking. I think these should remain outside of the top level public API and be made public in one module deep (maybe {{pyarrow.types}}?). > [Python] Define API for user type checking of array types > --------------------------------------------------------- > > Key: ARROW-1250 > URL: https://issues.apache.org/jira/browse/ARROW-1250 > Project: Apache Arrow > Issue Type: New Feature > Components: Python > Reporter: Wes McKinney > > We have some subclasses of {{pyarrow.lib.DataType}}, but we haven't been > designing with the intent of writing {{isinstance(arr.type, > pyarrow.TimestampType)}}. We should think about the public API for such > type-checking or other type of schema validation. -- This message was sent by Atlassian JIRA (v6.4.14#64029)