pyspark.sql.functions.randn¶
-
pyspark.sql.functions.randn(seed=None)[source]¶ Generates a column with independent and identically distributed (i.i.d.) samples from the standard normal distribution.
New in version 1.4.0.
Notes
The function is non-deterministic in general case.
Examples
>>> df.withColumn('randn', randn(seed=42)).collect() [Row(age=2, name='Alice', randn=1.1027054481455365), Row(age=5, name='Bob', randn=0.7400395449950132)]