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Posted to issues@spark.apache.org by "Ruifeng Zheng (Jira)" <ji...@apache.org> on 2023/02/07 06:20:00 UTC

[jira] [Created] (SPARK-42367) DataFrame.drop could handle duplicated columns

Ruifeng Zheng created SPARK-42367:
-------------------------------------

             Summary: DataFrame.drop could handle duplicated columns
                 Key: SPARK-42367
                 URL: https://issues.apache.org/jira/browse/SPARK-42367
             Project: Spark
          Issue Type: Sub-task
          Components: Connect, PySpark
    Affects Versions: 3.4.0
            Reporter: Ruifeng Zheng



{code:java}
>>> df.join(df2, df.name == df2.name, 'inner').show()
+---+----+------+----+
|age|name|height|name|
+---+----+------+----+
| 16| Bob|    85| Bob|
| 14| Tom|    80| Tom|
+---+----+------+----+

>>> df.join(df2, df.name == df2.name, 'inner').drop('name').show()
+---+------+
|age|height|
+---+------+
| 16|    85|
| 14|    80|
+---+------+

{code}




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