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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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Haejoon Lee updated SPARK-37657:
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Summary: Fix the bug in ps.(Series|DataFrame).describe() (was: Fix the bug
in ps.DataFrame.describe())
> Fix the bug in ps.(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
> 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 = 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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