trunc

Returns date truncated to the unit specified by the format.

For the corresponding Databricks SQL function, see trunc function.

Syntax

Python

from pyspark.databricks.sql import functions as dbf

dbf.trunc(date=<date>, format=<format>)

Parameters

Parameter	Type	Description
date	pyspark.sql.Column or str	input column of values to truncate.
format	literal string	'year', 'yyyy', 'yy' to truncate by year, or 'month', 'mon', 'mm' to truncate by month Other options are: 'week', 'quarter'

Returns

pyspark.sql.Column: truncated date.

Examples

Python

from pyspark.databricks.sql import functions as dbf
df = spark.createDataFrame([('1997-02-28',)], ['dt'])
df.select('*', dbf.trunc(df.dt, 'year')).show()
df.select('*', dbf.trunc('dt', 'mon')).show()