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https://issues.apache.org/jira/browse/SPARK-34544?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17298016#comment-17298016
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Rafal Wojdyla commented on SPARK-34544:
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[~zero323] yea, I see, in nature that suggestion is similar to having asserts,
or having our own `toPandas(sparkDF)` method with return annotation ` ->
pd.DataFrame` (which would still be effectively Any, but at least future
proof). Which is btw the workaround I'm currently most in favour of.
> I can definitely check viability of 3rd stubs by then.
That would be amazing! Thank you.
> pyspark toPandas() should return pd.DataFrame
> ---------------------------------------------
>
> Key: SPARK-34544
> URL: https://issues.apache.org/jira/browse/SPARK-34544
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 3.1.1
> Reporter: Rafal Wojdyla
> Assignee: Maciej Szymkiewicz
> Priority: Major
>
> Right now {{toPandas()}} returns {{DataFrameLike}}, which is an incomplete
> "view" of pandas {{DataFrame}}. Which leads to cases like mypy reporting that
> certain pandas methods are not present in {{DataFrameLike}}, even tho those
> methods are valid methods on pandas {{DataFrame}}, which is the actual type
> of the object. This requires type ignore comments or asserts.
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