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Posted to issues@spark.apache.org by "Daniel Himmelstein (Jira)" <ji...@apache.org> on 2021/02/25 16:50:00 UTC
[jira] [Commented] (SPARK-34544) pyspark toPandas() should return
pd.DataFrame
[ https://issues.apache.org/jira/browse/SPARK-34544?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17291040#comment-17291040 ]
Daniel Himmelstein commented on SPARK-34544:
--------------------------------------------
SPARK-34540 is an example. {{[DataFrameLike|https://github.com/apache/spark/blob/4a3200b08ac3e7733b5a3dc7271d35e6872c5967/python/pyspark/sql/pandas/_typing/protocols/frame.pyi#L37-L428]}} is missing the {{pd.DataFrame.convert_dtypes}} method. It's also missing {{pd.DataFrame.head}} and column attribute access ({{pd.DataFrame.my_column_name}}).
Keeping up with all upstream pandas.DataFrame API changes seems like an impossible task? And can't accommodate the different pandas versions in use by end users.
> pyspark toPandas() should return pd.DataFrame
> ---------------------------------------------
>
> Key: SPARK-34544
> URL: https://issues.apache.org/jira/browse/SPARK-34544
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.0.1
> Reporter: Rafal Wojdyla
> Priority: Critical
>
> 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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