如何根据Spark Dataframe中的行值获取列子集？

from pyspark.sql import SparkSession

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

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

# 根据行值获取列子集
selected_df = df.select("name", "age")

# 显示结果
selected_df.show()

+-------+---+
|   name|age|
+-------+---+
|  Alice| 25|
|    Bob| 30|
|Charlie| 35|
+-------+---+