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Returns date truncated to the unit specified by the format.
For the corresponding Databricks SQL function, see trunc function.
Syntax
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
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()