在dataframel中调用具有多个参数的Udf失败

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

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

# 定义一个具有多个参数的UDF
def my_udf(param1, param2):
    # 在这里定义UDF的逻辑
    return param1 + param2

# 注册UDF
spark.udf.register("my_udf", udf(my_udf, StringType()))

# 创建一个示例dataframe
data = [("Alice", 25), ("Bob", 30), ("Charlie", 35)]
df = spark.createDataFrame(data, ["name", "age"])

# 调用UDF并添加新列
df = df.withColumn("new_column", spark.udf.my_udf(df["name"], df["age"]))

# 显示结果
df.show()