[
https://issues.apache.org/jira/browse/SPARK-38601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Prakhar Sandhu updated SPARK-38601:
-----------------------------------
Affects Version/s: 3.3.0
(was: 3.2.1)
> 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: 3.3.0
> 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
