如何在pyspark中更改列值( pattern )

from pyspark.sql import SparkSession
from pyspark.sql.functions import col

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

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

# 打印原始DataFrame
df.show()

# 使用withColumn方法更改列值
df = df.withColumn("Age", col("Age") + 1)

# 打印更改后的DataFrame
df.show()