如何在PySpark中从年、月、日创建日期？

from pyspark.sql import SparkSession
from pyspark.sql.functions import to_date

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

# 创建一个包含年、月、日的DataFrame
data = [("2022", "01", "01"), ("2022", "02", "15"), ("2022", "03", "30")]
df = spark.createDataFrame(data, ["year", "month", "day"])

# 使用to_date函数创建日期列
df_with_date = df.withColumn("date", to_date(df.year + df.month + df.day, "yyyyMMdd"))

# 显示结果
df_with_date.show()

+----+-----+---+----------+
|year|month|day|      date|
+----+-----+---+----------+
|2022|   01| 01|2022-01-01|
|2022|   02| 15|2022-02-15|
|2022|   03| 30|2022-03-30|
+----+-----+---+----------+