pyspark.sql.Window.partitionBy

static Window.partitionBy(*cols: Union[ColumnOrName, List[ColumnOrName_]]) → WindowSpec

Creates a WindowSpec with the partitioning defined.

New in version 1.4.0.

Parameters

colsstr, Column or list

names of columns or expressions

Returns

class

WindowSpec A WindowSpec with the partitioning defined.

Examples

>>> from pyspark.sql import Window
>>> from pyspark.sql.functions import row_number
>>> df = spark.createDataFrame(
...      [(1, "a"), (1, "a"), (2, "a"), (1, "b"), (2, "b"), (3, "b")], ["id", "category"])
>>> df.show()
+---+--------+
| id|category|
+---+--------+
|  1|       a|
|  1|       a|
|  2|       a|
|  1|       b|
|  2|       b|
|  3|       b|
+---+--------+

Show row number order by id in partition category.

>>> window = Window.partitionBy("category").orderBy("id")
>>> df.withColumn("row_number", row_number().over(window)).show()
+---+--------+----------+
| id|category|row_number|
+---+--------+----------+
|  1|       a|         1|
|  1|       a|         2|
|  2|       a|         3|
|  1|       b|         1|
|  2|       b|         2|
|  3|       b|         3|
+---+--------+----------+

pyspark.sql.Window.orderBy pyspark.sql.Window.rangeBetween