pyspark.sql.functions.rand¶

pyspark.sql.functions.rand(seed: Optional[int] = None) → pyspark.sql.column.Column[source]¶

Generates a random column with independent and identically distributed (i.i.d.) samples uniformly distributed in [0.0, 1.0).

New in version 1.4.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

seedint (default: None): seed value for random generator.

Returns

Column: random values.

Notes

The function is non-deterministic in general case.

Examples

>>> df = spark.range(2)
>>> df.withColumn('rand', rand(seed=42) * 3).show() 
+---+------------------+
| id|              rand|
+---+------------------+
|  0|1.4385751892400076|
|  1|1.7082186019706387|
+---+------------------+

pyspark.sql.functions.nanvl pyspark.sql.functions.randn