pyspark.sql.functions.rand

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

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

>>> from pyspark.sql import functions as sf
>>> spark.range(0, 2, 1, 1).withColumn('rand', sf.rand(seed=42) * 3).show()
+---+------------------+
| id|              rand|
+---+------------------+
|  0|1.8575681106759028|
|  1|1.5288056527339444|
+---+------------------+

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