rand
Generates a random column with independent and identically distributed (i.i.d.) samples uniformly distributed in [0.0, 1.0). Supports Spark Connect.
The function is non-deterministic in general case.
For the corresponding Databricks SQL function, see rand function.
Syntax
Python
from pyspark.databricks.sql import functions as dbf
dbf.rand(seed=<seed>)
Parameters
Parameter | Type | Description |
|---|---|---|
|
| Seed value for the random generator. |
Returns
pyspark.sql.Column: A column of random values.
Examples
Python
from pyspark.databricks.sql import functions as dbf
spark.range(0, 2, 1, 1).select("*", dbf.rand()).show() # doctest: +SKIP
Output
+---+-------------------------+
| id|rand(-158884697681280011)|
+---+-------------------------+
| 0| 0.9253464547887...|
| 1| 0.6533254118758...|
+---+-------------------------+
Python
from pyspark.databricks.sql import functions as dbf
spark.range(0, 2, 1, 1).select("*", dbf.rand(seed=42)).show() # doctest: +SKIP
Output
+---+------------------+
| id| rand(42)|
+---+------------------+
| 0| 0.619189370225...|
| 1|0.5096018842446...|
+---+------------------+