如何在PySpark中将字典转换为数据帧？

from pyspark.sql import SparkSession

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

# 定义字典
data = {"Name": ["Alice", "Bob", "Charlie"],
        "Age": [25, 30, 35],
        "City": ["New York", "Los Angeles", "London"]}

# 将字典转换为数据帧
df = spark.createDataFrame(data)

# 打印数据帧的结构和内容
df.printSchema()
df.show()

# 输出：
# root
#  |-- Name: string (nullable = true)
#  |-- Age: long (nullable = true)
#  |-- City: string (nullable = true)
# 
# +-------+---+------------+
# |   Name|Age|        City|
# +-------+---+------------+
# |  Alice| 25|    New York|
# |    Bob| 30|Los Angeles|
# |Charlie| 35|      London|
# +-------+---+------------+