randn

Generates a random column with independent and identically distributed (i.i.d.) samples from the standard normal distribution. Supports Spark Connect.

For the corresponding Databricks SQL function, see randn function.

Syntax

from pyspark.databricks.sql import functions as dbf

dbf.randn(seed=<seed>)

Parameters

Parameter	Type	Description
seed	int (default: None)	Seed value for the random generator.

Returns

pyspark.sql.Column: A column of random values.

Examples

from pyspark.databricks.sql import functions as dbf
spark.range(0, 2, 1, 1).select("*", dbf.randn()).show() # doctest: +SKIP

+---+--------------------------+
| id|randn(3968742514375399317)|
+---+--------------------------+
|  0|      -0.47968645355788...|
|  1|       -0.4950952457305...|
+---+--------------------------+

from pyspark.databricks.sql import functions as dbf
spark.range(0, 2, 1, 1).select("*", dbf.randn(seed=42)).show() # doctest: +SKIP

+---+------------------+
| id|         randn(42)|
+---+------------------+
|  0| 2.384479054241...|
|  1|0.1920934041293...|
+---+------------------+