Fix lambda variable name issues in nested DataFrame functions in Python APIs

from pyspark.sql.functions import *
df = sql("SELECT array(1, 2, 3) as numbers, array('a', 'b', 'c') as letters")
df.select(
    transform(
        "numbers",
        lambda n: transform("letters", lambda l: struct(n.alias("n"), l.alias("l")))
    )
).show()

+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|transform(numbers, lambdafunction(transform(letters, lambdafunction(struct(namedlambdavariable() AS n, namedlambdavariable() AS l), namedlambdavariable())), namedlambdavariable()))|
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
|                                                                                                                                                                [[{a, a}, {b, b},...|
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+