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Returns a DataFrame containing a new row for each element with position in the given array or map. Uses the default column name pos for position, and col for elements in the array and key and value for elements in the map unless specified otherwise.
Syntax
spark.tvf.posexplode(collection)
Parameters
| Parameter | Type | Description |
|---|---|---|
collection |
pyspark.sql.Column |
Target column to work on. |
Returns
pyspark.sql.DataFrame: A DataFrame with a new row for each element along with its position.
Examples
import pyspark.sql.functions as sf
spark.tvf.posexplode(sf.array(sf.lit(1), sf.lit(2), sf.lit(3))).show()
+---+---+
|pos|col|
+---+---+
| 0| 1|
| 1| 2|
| 2| 3|
+---+---+
import pyspark.sql.functions as sf
spark.tvf.posexplode(sf.create_map(sf.lit("a"), sf.lit("b"))).show()
+---+---+-----+
|pos|key|value|
+---+---+-----+
| 0| a| b|
+---+---+-----+