[jira] [Commented] (SPARK-37657) Fix the bug in ps.DataFrame.describe()

["Haejoon Lee (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-37657?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17460366#comment-17460366 ] 

Haejoon Lee commented on SPARK-37657:
-------------------------------------

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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