pyspark.sql.functions.to_timestamp_ltz¶

pyspark.sql.functions.to_timestamp_ltz(timestamp: ColumnOrName, format: Optional[ColumnOrName] = None) → pyspark.sql.column.Column[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 TimestampType timestamp values.

Examples

>>> df = spark.createDataFrame([("2016-12-31",)], ["e"])
>>> df.select(to_timestamp_ltz(df.e, lit("yyyy-MM-dd")).alias('r')).collect()
... 
[Row(r=datetime.datetime(2016, 12, 31, 0, 0))]

>>> df = spark.createDataFrame([("2016-12-31",)], ["e"])
>>> df.select(to_timestamp_ltz(df.e).alias('r')).collect()
... 
[Row(r=datetime.datetime(2016, 12, 31, 0, 0))]

pyspark.sql.functions.to_timestamp

pyspark.sql.functions.to_timestamp_ntz