pyspark.sql.functions.arrays_zip¶
-
pyspark.sql.functions.
arrays_zip
(*cols)[source]¶ Collection function: Returns a merged array of structs in which the N-th struct contains all N-th values of input arrays.
New in version 2.4.0.
- Parameters
- cols
Column
or str columns of arrays to be merged.
- cols
Examples
>>> from pyspark.sql.functions import arrays_zip >>> df = spark.createDataFrame([(([1, 2, 3], [2, 3, 4]))], ['vals1', 'vals2']) >>> df.select(arrays_zip(df.vals1, df.vals2).alias('zipped')).collect() [Row(zipped=[Row(vals1=1, vals2=2), Row(vals1=2, vals2=3), Row(vals1=3, vals2=4)])]