beliefer commented on code in PR #38973:
URL: https://github.com/apache/spark/pull/38973#discussion_r1042866959
##########
python/pyspark/sql/connect/dataframe.py:
##########
@@ -824,6 +824,39 @@ def withColumn(self, colName: str, col: Column) ->
"DataFrame":
session=self._session,
)
+ def melt(
+ self,
+ ids: List["ColumnOrName"],
+ values: List["ColumnOrName"],
+ variableColumnName: str,
+ valueColumnName: str,
+ ) -> "DataFrame":
Review Comment:
This method is corresponding to the one of `Dataset` show below.
```
def melt(
ids: Array[Column],
values: Array[Column],
variableColumnName: String,
valueColumnName: String): DataFrame =
unpivot(ids, values, variableColumnName, valueColumnName)
```
Should we add another method is corresponding to the another one of
`Dataset` show below.
```
def melt(
ids: Array[Column],
variableColumnName: String,
valueColumnName: String): DataFrame =
unpivot(ids, variableColumnName, valueColumnName)
```
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