pyspark.sql.functions.last_value#

pyspark.sql.functions.last_value(col, ignoreNulls=None)[source]#

Returns the last value of col for a group of rows. It will return the last non-null value it sees when ignoreNulls is set to true. If all values are null, then null is returned.

Added in version 3.5.0.

Parameters:

colColumn or column name: target column to work on.
ignoreNullsColumn or bool, optional: if first value is null then look for first non-null value.

Returns:

Column: some value of col for a group of rows.

See also

pyspark.sql.functions.first_value()

Examples

>>> import pyspark.sql.functions as sf
>>> spark.createDataFrame(
...     [("a", 1), ("a", 2), ("a", 3), ("b", 8), (None, 2)], ["a", "b"]
... ).select(sf.last_value('a'), sf.last_value('b')).show()
+-------------+-------------+
|last_value(a)|last_value(b)|
+-------------+-------------+
|         NULL|            2|
+-------------+-------------+

>>> import pyspark.sql.functions as sf
>>> spark.createDataFrame(
...     [("a", 1), ("a", 2), ("a", 3), ("b", 8), (None, 2)], ["a", "b"]
... ).select(sf.last_value('a', True), sf.last_value('b', True)).show()
+-------------+-------------+
|last_value(a)|last_value(b)|
+-------------+-------------+
|            b|            2|
+-------------+-------------+