xinrong-meng commented on code in PR #48143:
URL: https://github.com/apache/spark/pull/48143#discussion_r1767824896
##########
python/pyspark/sql/functions/builtin.py:
##########
@@ -12227,6 +12265,52 @@ def unhex(col: "ColumnOrName") -> Column:
return _invoke_function_over_columns("unhex", col)
+@_try_remote_functions
+def uniform(
+ min: Union[Column, int, float],
+ max: Union[Column, int, float],
+ seed: Optional[Union[Column, int]] = None,
+) -> Column:
+ """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.
+
+ .. versionadded:: 4.0.0
+
+ Parameters
+ ----------
+ min : :class:`~pyspark.sql.Column`, int, or float
+ Minimum value in the range.
+ max : :class:`~pyspark.sql.Column`, int, or float
+ Maximum value in the range.
+ seed : :class:`~pyspark.sql.Column` or int
+ Optional random number seed to use.
+
+ Returns
+ -------
+ :class:`~pyspark.sql.Column`
+ The generated random number within the specified range.
+
+ Examples
+ --------
+ >>> from pyspark.sql import functions as sf
+ >>> df = spark.createDataFrame([('3',)], ['a'])
+ >>> df.select(sf.uniform(lit(0), lit(10), lit(0)).alias('result')).show()
+ +------+
+ |result|
+ +------+
+ | 7|
+ +------+
+
Review Comment:
ditto
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