pyspark.sql.functions.ntile¶

pyspark.sql.functions.ntile(n: int) → pyspark.sql.column.Column[source]¶

Window function: returns the ntile group id (from 1 to n inclusive) in an ordered window partition. For example, if n is 4, the first quarter of the rows will get value 1, the second quarter will get 2, the third quarter will get 3, and the last quarter will get 4.

This is equivalent to the NTILE function in SQL.

New in version 1.4.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

nint: an integer

Returns

Column: portioned group id.

Examples

>>> from pyspark.sql import Window
>>> df = spark.createDataFrame([("a", 1),
...                             ("a", 2),
...                             ("a", 3),
...                             ("b", 8),
...                             ("b", 2)], ["c1", "c2"])
>>> df.show()
+---+---+
| c1| c2|
+---+---+
|  a|  1|
|  a|  2|
|  a|  3|
|  b|  8|
|  b|  2|
+---+---+
>>> w = Window.partitionBy("c1").orderBy("c2")
>>> df.withColumn("ntile", ntile(2).over(w)).show()
+---+---+-----+
| c1| c2|ntile|
+---+---+-----+
|  a|  1|    1|
|  a|  2|    1|
|  a|  3|    2|
|  b|  2|    1|
|  b|  8|    2|
+---+---+-----+

pyspark.sql.functions.nth_value pyspark.sql.functions.percent_rank