pyspark.sql.Column.over

Column.over(window: WindowSpec) → Column

Define a windowing column.

New in version 1.4.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

windowWindowSpec

Returns

Column

Examples

>>> from pyspark.sql import Window
>>> window = Window.partitionBy("name").orderBy("age")                 .rowsBetween(Window.unboundedPreceding, Window.currentRow)
>>> from pyspark.sql.functions import rank, min, desc
>>> df = spark.createDataFrame(
...      [(2, "Alice"), (5, "Bob")], ["age", "name"])
>>> df.withColumn("rank", rank().over(window))                 .withColumn("min", min('age').over(window)).sort(desc("age")).show()
+---+-----+----+---+
|age| name|rank|min|
+---+-----+----+---+
|  5|  Bob|   1|  5|
|  2|Alice|   1|  2|
+---+-----+----+---+

pyspark.sql.Column.otherwise pyspark.sql.Column.rlike