pyspark.sql.functions.every#

pyspark.sql.functions.every(col)[source]#

Aggregate function: returns true if all values of col are true.

New in version 3.5.0.

Parameters

colColumn or str: column to check if all values are true.

Returns

Column: true if all values of col are true, false otherwise.

Examples

>>> import pyspark.sql.functions as sf
>>> spark.createDataFrame(
...     [[True], [True], [True]], ["flag"]
... ).select(sf.every("flag")).show()
+-----------+
|every(flag)|
+-----------+
|       true|
+-----------+

>>> import pyspark.sql.functions as sf
>>> spark.createDataFrame(
...     [[True], [False], [True]], ["flag"]
... ).select(sf.every("flag")).show()
+-----------+
|every(flag)|
+-----------+
|      false|
+-----------+

>>> import pyspark.sql.functions as sf
>>> spark.createDataFrame(
...     [[False], [False], [False]], ["flag"]
... ).select(sf.every("flag")).show()
+-----------+
|every(flag)|
+-----------+
|      false|
+-----------+