pyspark.sql.functions.bool_and#
- pyspark.sql.functions.bool_and(col)[source]#
Aggregate function: returns true if all values of col are true.
New in version 3.5.0.
- Parameters
- col
Column
or str column to check if all values are true.
- col
- Returns
Column
true if all values of col are true, false otherwise.
Examples
>>> df = spark.createDataFrame([[True], [True], [True]], ["flag"]) >>> df.select(bool_and("flag")).show() +--------------+ |bool_and(flag)| +--------------+ | true| +--------------+ >>> df = spark.createDataFrame([[True], [False], [True]], ["flag"]) >>> df.select(bool_and("flag")).show() +--------------+ |bool_and(flag)| +--------------+ | false| +--------------+ >>> df = spark.createDataFrame([[False], [False], [False]], ["flag"]) >>> df.select(bool_and("flag")).show() +--------------+ |bool_and(flag)| +--------------+ | false| +--------------+