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https://issues.apache.org/jira/browse/SPARK-41852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17653743#comment-17653743
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Ruifeng Zheng commented on SPARK-41852:
---------------------------------------
could you please also provide the code to create the dataframe?
a known issue is that `session.createDataFrame` doesn't handle NaN/None
correctly.
> Fix `pmod` function
> -------------------
>
> Key: SPARK-41852
> URL: https://issues.apache.org/jira/browse/SPARK-41852
> Project: Spark
> Issue Type: Sub-task
> Components: Connect, PySpark
> Affects Versions: 3.4.0
> Reporter: Sandeep Singh
> Priority: Major
> Fix For: 3.4.0
>
>
> {code:java}
> File
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/functions.py",
> line 622, in pyspark.sql.connect.functions.pmod
> Failed example:
> df.select(pmod("a", "b")).show()
> Expected:
> +----------+
> |pmod(a, b)|
> +----------+
> | NaN|
> | NaN|
> | 1.0|
> | NaN|
> | 1.0|
> | 2.0|
> | -5.0|
> | 7.0|
> | 1.0|
> +----------+
> Got:
> +----------+
> |pmod(a, b)|
> +----------+
> | null|
> | null|
> | 1.0|
> | null|
> | 1.0|
> | 2.0|
> | -5.0|
> | 7.0|
> | 1.0|
> +----------+
> <BLANKLINE>{code}
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