filter

Returns an array of elements for which a predicate holds in a given array. Supports Spark Connect.

For the corresponding Databricks SQL function, see filter function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.filter(col=<col>, f=<f>)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or str	Name of column or expression.
f	function	A function that returns the Boolean expression. Can take one of the following forms: Unary (x: Column) -> Column or Binary (x: Column, i: Column) -> Column where the second argument is a 0-based index of the element.

Returns

pyspark.sql.Column: filtered array of elements where given function evaluated to True when passed as an argument.

Examples

Python

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame(
    [(1, ["2018-09-20",  "2019-02-03", "2019-07-01", "2020-06-01"])],
    ("key", "values")
)
def after_second_quarter(x):
    return dbf.month(dbf.to_date(x)) > 6
df.select(
    dbf.filter("values", after_second_quarter).alias("after_second_quarter")
).show(truncate=False)

Output

+------------------------+
|after_second_quarter    |
+------------------------+
|[2018-09-20, 2019-07-01]|
+------------------------+