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Bettle commented on FLINK-40418:
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Hi [~auroflow], I’d like to work on this issue. I plan to implement
attribute-based column access through {{{}DataFrame.__getattr__{}}}, while
preserving existing DataFrame attributes and raising {{AttributeError}} for
invalid or missing columns. I’ll also add focused tests for valid columns,
missing columns, and attribute-name conflicts. Could you please confirm the
approach and assign the issue to me? Thanks!
> Support attribute-based column access on DataFrame
> --------------------------------------------------
>
> Key: FLINK-40418
> URL: https://issues.apache.org/jira/browse/FLINK-40418
> Project: Flink
> Issue Type: Sub-task
> Components: API / Python
> Reporter: Liu Liu
> Priority: Major
>
> Support attribute-based column access such as {{{}df.name{}}}, when the name
> is a valid identifier and does not conflict with an existing DataFrame
> attribute.
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