autophagy opened a new pull request, #26510: URL: https://github.com/apache/flink/pull/26510
## What is the purpose of the change Currently, the `pdf` argument of `TableEnvironment.from_pandas` and the return type of `Table.to_pandas` are not type annotated. This PR adds a pandas import during type checking (and so should not affect/import it outside of that, since it's an optional module) so that users get better type information out of these functions. I also enabled the [intersphinx](https://www.sphinx-doc.org/en/master/usage/extensions/intersphinx.html) extension for Sphinx so that type annotations for `pandas` classes link to their corresponding classes in the `pandas` documentation. So the live docs currently show:  After this change:  Where the `pandas.DataFrame` return type links to https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html#pandas.DataFrame ## Brief change log - *Added pandas type annotions to `TableEnvironment.from_pandas` and `Table.to_pandas`* - *Enabled intersphinx extension so pandas type annotations in the docs link to the corresponding pandas documentation* ## Verifying this change This change is already covered by existing docs building and type checking tests. ## Does this pull request potentially affect one of the following parts: - Dependencies (does it add or upgrade a dependency): (no) - The public API, i.e., is any changed class annotated with `@Public(Evolving)`: (no) - The serializers: (no) - The runtime per-record code paths (performance sensitive): (no) - Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Kubernetes/Yarn, ZooKeeper: (no) - The S3 file system connector: (no) ## Documentation - Does this pull request introduce a new feature? (no) - If yes, how is the feature documented? (not applicable) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org