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https://issues.apache.org/jira/browse/SPARK-36930?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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dch nguyen updated SPARK-36930:
-------------------------------
Description: (was: When DF.dtypes is supported, we can use
{code:java}
>>> pdf = pd.DataFrame(
... {"a": [1, 2, 3, 4, 5, 6, 7, 8, 9], "b": [4, 5, 6, 3, 2, 1, 0, 0, 0]},
... )
>>> psdf = ps.from_pandas(pdf)
>>> psdf.dtypes
a int64
b int64
dtype: object
>>> ps.DataFrame[psdf.dtypes]
typing.Tuple[pyspark.pandas.typedef.typehints.NameType,
pyspark.pandas.typedef.typehints.NameType]
{code})
> Support ps.MultiIndex.dtypes
> ----------------------------
>
> Key: SPARK-36930
> URL: https://issues.apache.org/jira/browse/SPARK-36930
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 3.3.0
> Reporter: dch nguyen
> Priority: Major
>
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