如何在Dataframe，Pyspark中用多个条件更新行

from pyspark.sql import SparkSession
from pyspark.sql.functions import when

spark = SparkSession.builder.getOrCreate()

data = [("Alice", 25, "F"), ("Bob", 30, "M"), ("Charlie", 35, "M")]
df = spark.createDataFrame(data, ["name", "age", "gender"])
df.show()

+-------+---+------+
|   name|age|gender|
+-------+---+------+
|  Alice| 25|     F|
|    Bob| 30|     M|
|Charlie| 35|     M|
+-------+---+------+

df = df.withColumn("age", when((df.name == "Alice") & (df.gender == "F"), 26).otherwise(df.age))
df.show()

+-------+---+------+
|   name|age|gender|
+-------+---+------+
|  Alice| 26|     F|
|    Bob| 30|     M|
|Charlie| 35|     M|
+-------+---+------+