snowflake.snowpark.functions.randn¶

snowflake.snowpark.functions.randn(seed: Optional[Union[Column, str, int, float]] = None) → Column[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.30.0/snowpark-python/src/snowflake/snowpark/functions.py#L11559-L11581)¶

Generates a column with independent and identically distributed (i.i.d.) samples from the standard normal distribution.

Example::

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>>> df = session.create_dataframe([1,2,3], schema=["seed"])
>>> df.select(randn("seed").alias("randn")).collect()
[Row(RANDN=-1.143416214223267), Row(RANDN=-0.78469958830255), Row(RANDN=-0.365971322006404)]
>>> df.select(randn().alias("randn")).collect()  

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