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https://issues.apache.org/jira/browse/SPARK-37657?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17460366#comment-17460366
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Haejoon Lee commented on SPARK-37657:
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I'm working on this
> Fix the bug in ps.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
> Priority: Major
>
> Initialized in Koalas issue:
> [https://github.com/databricks/koalas/issues/1888.]
>
> The `DataFrame.describe()` in pandas API on Spark doesn't work properly when
> DataFrame has no numeric column.
>
>
> {code:java}
> >>> df = ks.DataFrame({'a': ["a", "b", "c"]}) >>> df.describe() Traceback
> >>> (most recent call last): File "<stdin>", line 1, in <module> File
> >>> "/.../koalas/databricks/koalas/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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