to_timestamp_ntz

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

Syntax

Python

from pyspark.sql import functions as dbf

dbf.to_timestamp_ntz(timestamp=<timestamp>, format=<format>)

Parameters

Parameter	Type	Description
timestamp	pyspark.sql.Column or str	Input column or strings.
format	pyspark.sql.Column or str, optional	format to use to convert type TimestampNTZType timestamp values.

Parameter	Type	Description
timestamp	pyspark.sql.Column or str	Input column or strings.
format	pyspark.sql.Column or str, optional	format to use to convert type TimestampNTZType timestamp values.

Examples

Python

from pyspark.sql import functions as dbf
df = spark.createDataFrame([('2015-04-08 12:12:12',)], ['ts'])
df.select('*', dbf.to_timestamp_ntz('ts')).show()
df = spark.createDataFrame([('2016-12-31',)], ['dt'])
df.select('*', dbf.to_timestamp_ntz(df.dt, dbf.lit('yyyy-MM-dd'))).show()
df = spark.createDataFrame(
[('2015-04-08', 'yyyy-MM-dd'), ('2025+01+09', 'yyyy+MM+dd')], ['dt', 'fmt'])
df.select('*', dbf.to_timestamp_ntz('dt', 'fmt')).show()