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https://issues.apache.org/jira/browse/SPARK-39938?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-39938:
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Assignee: Apache Spark
> The prefix/suffix parameter validation in add_prefix/add_suffix should follow
> the pandas behavior
> -------------------------------------------------------------------------------------------------
>
> Key: SPARK-39938
> URL: https://issues.apache.org/jira/browse/SPARK-39938
> Project: Spark
> Issue Type: Bug
> Components: Pandas API on Spark
> Affects Versions: 3.2.2
> Environment: Pandas Version: 1.3.X/1.4.X
> PySpark: Master
> Reporter: bo zhao
> Assignee: Apache Spark
> Priority: Major
>
> We need to follow the pandas behavior of prefix/suffix parameter validation
> in add_prefix/add_suffix.
> Now, we force to validate it as a String type. But pandas looks all values
> which can be formated as String(implement __str__ func). So it's different
> here.
> PySpark:
> {code:java}
> >>> from pyspark import pandas as ps
> >>> df = ps.DataFrame({'A': [1, 2, 3, 4], 'B': [3, 4, 5, 6]}, columns=['A',
> >>> 'B'])
> >>> df.add_suffix(666)
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/home/spark/spark/python/pyspark/pandas/frame.py", line 9060, in
> add_suffix
> assert isinstance(suffix, str)
> AssertionError
> >>> df.add_suffix(True)
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/home/spark/spark/python/pyspark/pandas/frame.py", line 9060, in
> add_suffix
> assert isinstance(suffix, str)
> AssertionError {code}
> Pandas:
> {code:java}
> >>> pd.__version__
> '1.3.5'
> >>> pdf.add_suffix(0.1)
> A0.1 B0.1
> 0 1 3
> 1 2 4
> 2 3 5
> 3 4 6
> >>> pdf.add_suffix(True)
> ATrue BTrue
> 0 1 3
> 1 2 4
> 2 3 5
> 3 4 6
> {code}
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