如何使用pyspark创建一个包含大量列和日期数据的数据框架？

from pyspark.sql import SparkSession
from pyspark.sql.functions import col
from pyspark.sql.types import StructType, StructField, StringType, DateType

spark = SparkSession.builder.appName("CreateDataFrame").getOrCreate()

schema = StructType([
    StructField("col1", StringType(), True),
    StructField("col2", StringType(), True),
    # 添加更多的列...
    StructField("date", DateType(), True)
])

data = [
    # 添加数据行...
]

df = spark.createDataFrame(data, schema)

df.printSchema()
df.show()