在DD-MM-YYYY中将Pyspark行datetime.datetime数据帧转换为带时间戳的列名DateType,可以通过以下步骤实现:
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, unix_timestamp
from pyspark.sql.types import DateType
spark = SparkSession.builder.getOrCreate()
data = [(datetime.datetime(YYYY, MM, DD),)]
df = spark.createDataFrame(data, ["datetime"])
df = df.withColumn("timestamp", unix_timestamp(col("datetime")).cast("timestamp"))
df = df.withColumnRenamed("timestamp", "DD-MM-YYYY")
df = df.withColumn("DD-MM-YYYY", col("DD-MM-YYYY").cast(DateType()))
完整的代码示例如下:
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, unix_timestamp
from pyspark.sql.types import DateType
import datetime
spark = SparkSession.builder.getOrCreate()
data = [(datetime.datetime(YYYY, MM, DD),)]
df = spark.createDataFrame(data, ["datetime"])
df = df.withColumn("timestamp", unix_timestamp(col("datetime")).cast("timestamp"))
df = df.withColumnRenamed("timestamp", "DD-MM-YYYY")
df = df.withColumn("DD-MM-YYYY", col("DD-MM-YYYY").cast(DateType()))
df.show()
以上代码将Pyspark行datetime.datetime数据帧转换为带时间戳的列名DateType,并将其打印输出。请注意,在代码示例中的"YYYY"、"MM"、"DD"应该替换为实际的年、月、日。
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