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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