pyspark.sql.functions.uniform#

pyspark.sql.functions.uniform(min, max, seed=None)[source]#

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.

Added in version 4.0.0.

Parameters:

minColumn, int, or float: Minimum value in the range. A column that evaluates to a numeric. Must be a constant.
maxColumn, int, or float: Maximum value in the range. A column that evaluates to a numeric. Must be a constant.
seedColumn or int: Optional random number seed to use. A column that evaluates to an integer or long. Must be a constant.

Returns:

Column: The generated random number within the specified range. Returns a column of the same type as the input.

See also

pyspark.sql.functions.rand()
pyspark.sql.functions.randn()

Examples

>>> import pyspark.sql.functions as sf
>>> spark.range(0, 10, 1, 1).select(sf.uniform(5, 105, 3)).show()
+------------------+
|uniform(5, 105, 3)|
+------------------+
|                30|
|                71|
|                99|
|                77|
|                16|
|                25|
|                89|
|                80|
|                51|
|                83|
+------------------+