在pyspark中，将值随机更改为空值的最有效方法是什么？

from pyspark.sql import SparkSession
from pyspark.sql.functions import udf
from pyspark.sql.types import StringType
import random

spark = SparkSession.builder.getOrCreate()

def random_null(value):
    if random.random() < 0.5:  # 以50%的概率将值更改为空值
        return None
    else:
        return value

# 注册udf
random_null_udf = udf(random_null, StringType())

data = [("Alice", 25), ("Bob", 30), ("Charlie", 35)]
df = spark.createDataFrame(data, ["Name", "Age"])

df_with_nulls = df.withColumn("Age", random_null_udf(df["Age"]))