pyspark.sql.functions.trunc#
- pyspark.sql.functions.trunc(date, format)[source]#
Returns date truncated to the unit specified by the format.
New in version 1.5.0.
Changed in version 3.4.0: Supports Spark Connect.
- Parameters
- date
Column
or str input column of values to truncate.
- formatstr
‘year’, ‘yyyy’, ‘yy’ to truncate by year, or ‘month’, ‘mon’, ‘mm’ to truncate by month Other options are: ‘week’, ‘quarter’
- date
- Returns
Column
truncated date.
Examples
>>> df = spark.createDataFrame([('1997-02-28',)], ['d']) >>> df.select(trunc(df.d, 'year').alias('year')).collect() [Row(year=datetime.date(1997, 1, 1))] >>> df.select(trunc(df.d, 'mon').alias('month')).collect() [Row(month=datetime.date(1997, 2, 1))]