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https://issues.apache.org/jira/browse/SPARK-37657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-37657:
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Assignee: Apache Spark
> Support str and timestamp for (Series|DataFrame).describe()
> -----------------------------------------------------------
>
> Key: SPARK-37657
> URL: https://issues.apache.org/jira/browse/SPARK-37657
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.3.0
> Reporter: Haejoon Lee
> Assignee: Apache Spark
> Priority: Major
>
> Initialized in Koalas issue:
> [https://github.com/databricks/koalas/issues/1888]
>
> The `(Series|DataFrame).describe()` in pandas API on Spark doesn't work
> properly when DataFrame has no numeric column.
>
>
> {code:java}
> >>> df = ps.DataFrame({'a': ["a", "b", "c"]})
> >>> df.describe()
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/.../python/pyspark/pandas/frame.py", line 7582, in describe
> raise ValueError("Cannot describe a DataFrame without columns")
> ValueError: Cannot describe a DataFrame without columns
> {code}
>
> As it works fine in pandas, we should fix it.
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