[jira] [Resolved] (SPARK-37657) Support str and timestamp for (Series|DataFrame).describe()

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-37657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-37657.
----------------------------------
    Fix Version/s: 3.3.0
         Assignee: Haejoon Lee
       Resolution: Fixed

Fixed in https://github.com/apache/spark/pull/34931

> 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: Haejoon Lee
>            Priority: Major
>             Fix For: 3.3.0
>
>
> 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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