如何拼接数据框列pyspark？

from pyspark.sql import SparkSession
from pyspark.sql.functions import concat

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

# 创建示例数据框
data = [("Alice", 25), ("Bob", 30), ("Charlie", 35)]
df = spark.createDataFrame(data, ["name", "age"])

# 拼接数据框列
df_with_concat = df.withColumn("name_age", concat(df["name"], df["age"]))

# 显示结果
df_with_concat.show()

+-------+---+--------+
|   name|age|name_age|
+-------+---+--------+
|  Alice| 25|Alice25 |
|    Bob| 30|  Bob30 |
|Charlie| 35|Charlie35|
+-------+---+--------+