pyspark.sql.functions.to_timestamp_ntz#

pyspark.sql.functions.to_timestamp_ntz(timestamp, format=None)[source]#

Parses the timestamp with the format to a timestamp without time zone. Returns null with invalid input.

New in version 3.5.0.

Parameters

timestampColumn or str: Input column or strings.
formatColumn or str, optional: format to use to convert type TimestampNTZType timestamp values.

Examples

>>> df = spark.createDataFrame([("2016-04-08",)], ["e"])
>>> df.select(to_timestamp_ntz(df.e, lit("yyyy-MM-dd")).alias('r')).collect()
... 
[Row(r=datetime.datetime(2016, 4, 8, 0, 0))]

>>> df = spark.createDataFrame([("2016-04-08",)], ["e"])
>>> df.select(to_timestamp_ntz(df.e).alias('r')).collect()
... 
[Row(r=datetime.datetime(2016, 4, 8, 0, 0))]