Spark:如何将列的ArrayType中的单个列收集到不同的数组中？

from pyspark.sql import SparkSession
from pyspark.sql.functions import explode

spark = SparkSession.builder.getOrCreate()

data = [(1, ["a", "b", "c"]), (2, ["d", "e"]), (3, ["f"])]
df = spark.createDataFrame(data, ["id", "letters"])
df.show()

+---+---------+
| id|  letters|
+---+---------+
|  1|[a, b, c]|
|  2|   [d, e]|
|  3|      [f]|
+---+---------+

df_exploded = df.select("id", explode("letters").alias("letter"))
df_exploded.show()

+---+------+
| id|letter|
+---+------+
|  1|     a|
|  1|     b|
|  1|     c|
|  2|     d|
|  2|     e|
|  3|     f|
+---+------+