如何在Spark dataFrame中实现lead

from pyspark.sql import SparkSession
from pyspark.sql.functions import lead
from pyspark.sql.window import Window

# 创建SparkSession
spark = SparkSession.builder.getOrCreate()

# 创建示例DataFrame
data = [("Alice", 25), ("Bob", 30), ("Charlie", 35), ("Dave", 40)]
df = spark.createDataFrame(data, ["Name", "Age"])

# 创建Window对象，按照Age列进行排序
window = Window.orderBy("Age")

# 使用lead函数获取下一行的Age值
df = df.withColumn("NextAge", lead("Age").over(window))

# 显示结果
df.show()

+-------+---+-------+
|   Name|Age|NextAge|
+-------+---+-------+
|  Alice| 25|     30|
|    Bob| 30|     35|
|Charlie| 35|     40|
|   Dave| 40|   null|
+-------+---+-------+