to_date

Converts a pyspark.sql.Column into pyspark.sql.types.DateType using the optionally specified format. Specify formats according to datetime pattern.

By default, it follows casting rules to pyspark.sql.types.DateType if the format is omitted. Equivalent to col.cast("date").

For the corresponding Databricks SQL function, see to_date function.

Syntax

from pyspark.sql import functions as dbf

dbf.to_date(col=<col>, format=<format>)

Parameters

Parameter	Type	Description
col	pyspark.sql.Column or str	input column of values to convert.
format	literal string, optional	format to use to convert date values.

Returns

pyspark.sql.Column: date value as pyspark.sql.types.DateType type.

Examples

from pyspark.sql import functions as dbf
df = spark.createDataFrame([('1997-02-28 10:30:00',)], ['ts'])
df.select('*', dbf.to_date(df.ts)).show()
df.select('*', dbf.to_date('ts', 'yyyy-MM-dd HH:mm:ss')).show()