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https://issues.apache.org/jira/browse/SPARK-41823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sandeep Singh updated SPARK-41823:
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Summary: DataFrame.join creating ambiguous column names (was: Fix
DataFrame.join creating ambiguous column names)
> DataFrame.join creating ambiguous column names
> ----------------------------------------------
>
> Key: SPARK-41823
> URL: https://issues.apache.org/jira/browse/SPARK-41823
> Project: Spark
> Issue Type: Sub-task
> Components: Connect
> Affects Versions: 3.4.0
> Reporter: Sandeep Singh
> Priority: Major
>
> {code:java}
> File
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py",
> line 898, in pyspark.sql.connect.dataframe.DataFrame.describe
> Failed example:
> df.describe(['age']).show()
> Exception raised:
> Traceback (most recent call last):
> File
> "/usr/local/Cellar/[email protected]/3.10.8/Frameworks/Python.framework/Versions/3.10/lib/python3.10/doctest.py",
> line 1350, in __run
> exec(compile(example.source, filename, "single",
> File "<doctest pyspark.sql.connect.dataframe.DataFrame.describe[1]>",
> line 1, in <module>
> df.describe(['age']).show()
> File
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py",
> line 832, in describe
> raise TypeError(f"'cols' must be list[str], but got
> {type(s).__name__}")
> TypeError: 'cols' must be list[str], but got list {code}
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