pyspark.sql.functions.equal_null#
- pyspark.sql.functions.equal_null(col1, col2)[source]#
- Returns same result as the EQUAL(=) operator for non-null operands, but returns true if both are null, false if one of them is null. - New in version 3.5.0. - Examples - >>> df = spark.createDataFrame([(None, None,), (1, 9,)], ["a", "b"]) >>> df.select(equal_null(df.a, df.b).alias('r')).collect() [Row(r=True), Row(r=False)]