基于另一个带有json列的数据帧创建spark Dataframe

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

spark = SparkSession.builder.appName("Create DataFrame").getOrCreate()

json_data = [
    ('{"name": "John", "age": 30, "city": "New York"}'),
    ('{"name": "Alice", "age": 25, "city": "San Francisco"}'),
    ('{"name": "Bob", "age": 35, "city": "Los Angeles"}')
]

df = spark.createDataFrame(json_data, ['json_column'])

df = df.withColumn('parsed_json', from_json(col('json_column'), 'name STRING, age INT, city STRING'))

df.show()