[ 
https://issues.apache.org/jira/browse/SPARK-38601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Prakhar Sandhu updated SPARK-38601:
-----------------------------------
    Description: 
I am working on replacing Pandas library to pyspark.pandas Library in my python 
repo in VS Code. But pyspark.pandas module does not seem to have DateOffset() 
module similar to what pandas has.

I tried this :
{code:java}
import pyspark.pandas as pd 
clean_df[self._config.general["info_col"]] = (clean_df["cycle_dt"] - 
pd.DateOffset(months=cycle_info_gap)        
).fillna(clean_df[self._config.general["time_col"]])  {code}
It results in the below error :
{code:java}
Un unanticipated error occurred: module 'pyspark.pandas' has no attribute 
'DateOffset'{code}
Is there any alternative for this in pyspark.pandas?

  was:
I am working on replacing Pandas library to Koalas Library in my python repo in 
VS Code. But Koalas module does not seem to have DateOffset() module similar to 
what pandas has.

I tried this :
{code:java}
import pyspark.pandas as pd 
pdf["date_col_2"] = pdf["date_col_1"] - pd.DateOffset(months=cycle_info_gap)
 {code}
It results in the below error :
{code:java}
AttributeError: module 'databricks.koalas' has no attribute 'DateOffset' {code}
Is there any alternative for this in Koalas?


> AttributeError: module 'pyspark.pandas' has no attribute 'DateOffset'
> ---------------------------------------------------------------------
>
>                 Key: SPARK-38601
>                 URL: https://issues.apache.org/jira/browse/SPARK-38601
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 3.2.1
>            Reporter: Prakhar Sandhu
>            Priority: Major
>
> I am working on replacing Pandas library to pyspark.pandas Library in my 
> python repo in VS Code. But pyspark.pandas module does not seem to have 
> DateOffset() module similar to what pandas has.
> I tried this :
> {code:java}
> import pyspark.pandas as pd 
> clean_df[self._config.general["info_col"]] = (clean_df["cycle_dt"] - 
> pd.DateOffset(months=cycle_info_gap)        
> ).fillna(clean_df[self._config.general["time_col"]])  {code}
> It results in the below error :
> {code:java}
> Un unanticipated error occurred: module 'pyspark.pandas' has no attribute 
> 'DateOffset'{code}
> Is there any alternative for this in pyspark.pandas?



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to