你可以简单地使用pyspark functions来做这样的事情：

import pyspark
from pyspark.sql import functions as sf

sc = pyspark.SparkContext()
sqlc = pyspark.SQLContext(sc)

# note this i used to create the data frame
df = sqlc.createDataFrame([('2020-11-03','15:34:02')], ['Date', 'Times (Sting)'])

print(df.show())

df = df.withColumn('desired column',sf.concat(sf.col('Date'),sf.lit(' '), sf.col('Times (Sting)')))

print(df.show())

输出：