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Posted to issues@spark.apache.org by "Haejoon Lee (Jira)" <ji...@apache.org> on 2021/12/16 05:31:00 UTC

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

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

Haejoon Lee updated SPARK-37657:
--------------------------------
    Description: 
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.

  was:
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.


> 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 `(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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