pyspark.sql.functions.to_date¶
-
pyspark.sql.functions.
to_date
(col, format=None)[source]¶ Converts a
Column
intopyspark.sql.types.DateType
using the optionally specified format. Specify formats according to `datetime pattern`_. By default, it follows casting rules topyspark.sql.types.DateType
if the format is omitted. Equivalent tocol.cast("date")
.>>> df = spark.createDataFrame([('1997-02-28 10:30:00',)], ['t']) >>> df.select(to_date(df.t).alias('date')).collect() [Row(date=datetime.date(1997, 2, 28))]
>>> df = spark.createDataFrame([('1997-02-28 10:30:00',)], ['t']) >>> df.select(to_date(df.t, 'yyyy-MM-dd HH:mm:ss').alias('date')).collect() [Row(date=datetime.date(1997, 2, 28))]
New in version 2.2.