pyspark.sql.functions.rand¶
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pyspark.sql.functions.rand(seed: Optional[int] = None) → pyspark.sql.column.Column¶ Generates a random column with independent and identically distributed (i.i.d.) samples uniformly distributed in [0.0, 1.0).
Notes
The function is non-deterministic in general case.
Examples
>>> df.withColumn('rand', rand(seed=42) * 3).collect() [Row(age=2, name='Alice', rand=2.4052597283576684), Row(age=5, name='Bob', rand=2.3913904055683974)]