pyspark.sql.functions.to_date¶

pyspark.sql.functions.to_date(col: ColumnOrName, format: Optional[str] = None) → pyspark.sql.column.Column[source]¶

Converts a 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").

New in version 2.2.0.

Changed in version 3.4.0: Supports Spark Connect.

Parameters

colColumn or str: input column of values to convert.
format: str, optional: format to use to convert date values.

Returns

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

Examples

>>> 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))]

pyspark.sql.functions.to_timestamp_ntz

pyspark.sql.functions.trunc