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https://issues.apache.org/jira/browse/SPARK-38601?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17509742#comment-17509742
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Prakhar Sandhu commented on SPARK-38601:
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Hi [~hyukjin.kwon] ,
# Any other alternative that could be tried to achieve this?
# Is Koalas library not fully developed yet to replace the pandas library? In
most of the documentations it is mentioned that a simple replacement of import
pandas to import databricks.koalas would work
> AttributeError: module 'databricks.koalas' 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: 3.0.0
> Reporter: Prakhar Sandhu
> Priority: Major
>
> 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 databricks.koalas as ks
> kdf["date_col_2"] = kdf["date_col_1"] - ks.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?
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