zhengruifeng commented on PR #51585:
URL: https://github.com/apache/spark/pull/51585#issuecomment-3277220030

   @uros-db @MaxGekk 
   
   ```
   In [2]:     >>> import pyspark.sql.functions as sf
      ...:     >>> df = spark.createDataFrame([("10:30:00", "HH:mm:ss")], 
["str", "format"])
      ...:     >>> df.select(sf.try_to_time(df.str, df.format)).show()
   +---------------------------------+
   |try_to_time(to_time(str, format))|
   +---------------------------------+
   |                         10:30:00|
   +---------------------------------+
   ```
   
   it seems the default column name `try_to_time(to_time(xxx, xxx))` is not 
consistent with other similar functions, like:
   ```
   In [1]:     >>> import pyspark.sql.functions as sf
      ...:     >>> df = spark.createDataFrame([('1997-02-28 10:30:00',)], ['t'])
      ...:     >>> df.select(sf.try_to_timestamp(df.t, sf.lit('yyyy-MM-dd 
HH:mm:ss'))).show()
   +----------------------------------------+
   |try_to_timestamp(t, yyyy-MM-dd HH:mm:ss)|
   +----------------------------------------+
   |                     1997-02-28 10:30:00|
   +----------------------------------------+
   ```
   
   is this expected?


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