pyspark.sql.functions.forall¶

pyspark.sql.functions.forall(col, f)[source]¶

Returns whether a predicate holds for every element in the array.

New in version 3.1.0.

Parameters:

colColumn or str: name of column or expression
ffunction: (x: Column) -> Column: ... returning the Boolean expression. Can use methods of Column, functions defined in pyspark.sql.functions and Scala UserDefinedFunctions. Python UserDefinedFunctions are not supported (SPARK-27052).

Returns:

Column

Examples

>>> df = spark.createDataFrame(
...     [(1, ["bar"]), (2, ["foo", "bar"]), (3, ["foobar", "foo"])],
...     ("key", "values")
... )
>>> df.select(forall("values", lambda x: x.rlike("foo")).alias("all_foo")).show()
+-------+
|all_foo|
+-------+
|  false|
|  false|
|   true|
+-------+

pyspark.sql.functions.floor pyspark.sql.functions.format_number