uniform

Returns a random value with independent and identically distributed (i.i.d.) values with the specified range of numbers. The random seed is optional. The provided numbers specifying the minimum and maximum values of the range must be constant. If both of these numbers are integers, then the result will also be an integer. Otherwise if one or both of these are floating-point numbers, then the result will also be a floating-point number. Supports Spark Connect.

For the corresponding Databricks SQL function, see uniform function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.uniform(min=<min>, max=<max>, seed=<seed>)

Parameters

Parameter	Type	Description
min	pyspark.sql.Column, int, or float	Minimum value in the range.
max	pyspark.sql.Column, int, or float	Maximum value in the range.
seed	pyspark.sql.Column or int	Optional random number seed to use.

Returns

pyspark.sql.Column: The generated random number within the specified range.

Examples

Python

from pyspark.databricks.sql import functions as dbf
spark.range(0, 10, 1, 1).select(dbf.uniform(5, 105, 3)).show() # doctest: +SKIP

Output

+------------------+
|uniform(5, 105, 3)|
+------------------+
|                30|
|                71|
|                99|
|                77|
|                16|
|                25|
|                89|
|                80|
|                51|
|                83|
+------------------+