PySpark:如何更新嵌套列？

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

spark = SparkSession.builder.appName("NestedColumnUpdate").getOrCreate()
data = [("John", {"age": 25, "city": "New York"}), ("Alice", {"age": 30, "city": "San Francisco"})]
df = spark.createDataFrame(data, ["name", "info"])
df.show()

+-----+-------------------+
| name|               info|
+-----+-------------------+
| John|{age=25, city=New York}|
|Alice|{age=30, city=San Francisco}|
+-----+-------------------+

df = df.withColumn("info", df["info"].getItem("age").cast("int").plus(1))
df.show()

+-----+----+
| name|info|
+-----+----+
| John|  26|
|Alice|  31|
+-----+----+