Spark Dataframe/RDD无法通过计算另一列的内容来创建新列

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

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

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

# 使用withColumn方法创建新列
df = df.withColumn("age_plus_10", col("age") + 10)

# 显示结果
df.show()

from pyspark import SparkContext

# 创建SparkContext
sc = SparkContext()

# 创建示例数据
data = [("Alice", 25), ("Bob", 30), ("Charlie", 35)]
rdd = sc.parallelize(data)

# 使用map方法创建新列
new_rdd = rdd.map(lambda x: (x[0], x[1], x[1] + 10))

# 显示结果
new_rdd.collect()