pyspark.sql.functions.explode

pyspark.sql.functions.explode(col: ColumnOrName) → pyspark.sql.column.Column

Returns a new row for each element in the given array or map. Uses the default column name col for elements in the array and key and value for elements in the map unless specified otherwise.

New in version 1.4.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

colColumn or str

target column to work on.

Returns

Column

one row per array item or map key value.

See also

pyspark.functions.posexplode()

pyspark.functions.explode_outer()

pyspark.functions.posexplode_outer()

Examples

>>> from pyspark.sql import Row
>>> df = spark.createDataFrame([Row(a=1, intlist=[1,2,3], mapfield={"a": "b"})])
>>> df.select(explode(df.intlist).alias("anInt")).collect()
[Row(anInt=1), Row(anInt=2), Row(anInt=3)]

>>> df.select(explode(df.mapfield).alias("key", "value")).show()
+---+-----+
|key|value|
+---+-----+
|  a|    b|
+---+-----+

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