pyspark.sql.functions.randn¶
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pyspark.sql.functions.randn(seed: Optional[int] = None) → pyspark.sql.column.Column¶ Generates a column with independent and identically distributed (i.i.d.) samples from the standard normal distribution.
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)]