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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def explode(col):
 """ 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. [Row(anInt=1), Row(anInt=2), Row(anInt=3)] +---+-----+ |key|value| +---+-----+ | a| b| +---+-----+ """

    sc = SparkContext._active_spark_context
    jc = sc._jvm.functions.explode(_to_java_column(col))
    return Column(jc)