pyspark.sql.functions.array_join

pyspark.sql.functions.array_join(col, delimiter, null_replacement=None)

Concatenates the elements of column using the delimiter. Null values are replaced with null_replacement if set, otherwise they are ignored.

New in version 2.4.0.

Examples

>>> df = spark.createDataFrame([(["a", "b", "c"],), (["a", None],)], ['data'])
>>> df.select(array_join(df.data, ",").alias("joined")).collect()
[Row(joined='a,b,c'), Row(joined='a')]
>>> df.select(array_join(df.data, ",", "NULL").alias("joined")).collect()
[Row(joined='a,b,c'), Row(joined='a,NULL')]

pyspark.sql.functions.array_intersect pyspark.sql.functions.array_max