snowflake.snowpark.functions.timestamp_ltz_from_parts¶

snowflake.snowpark.functions.timestamp_ltz_from_parts(year: Union[Column, str, int], month: Union[Column, str, int], day: Union[Column, str, int], hour: Union[Column, str, int], minute: Union[Column, str, int], second: Union[Column, str, int], nanoseconds: Optional[Union[Column, str, int]] = None) → Column[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.26.0/snowpark-python/src/snowflake/snowpark/functions.py#L5918-L5964)¶

Creates a timestamp from individual numeric components.

Example:

>>> import datetime
>>> df = session.create_dataframe(
...     [[2022, 4, 1, 11, 11, 0], [2022, 3, 31, 11, 11, 0]],
...     schema=["year", "month", "day", "hour", "minute", "second"],
... )
>>> df.select(timestamp_ltz_from_parts(
...     "year", "month", "day", "hour", "minute", "second"
... ).alias("TIMESTAMP_LTZ_FROM_PARTS")).collect()
[Row(TIMESTAMP_LTZ_FROM_PARTS=datetime.datetime(2022, 4, 1, 11, 11, tzinfo=<DstTzInfo 'America/Los_Angeles' PDT-1 day, 17:00:00 DST>)), Row(TIMESTAMP_LTZ_FROM_PARTS=datetime.datetime(2022, 3, 31, 11, 11, tzinfo=<DstTzInfo 'America/Los_Angeles' PDT-1 day, 17:00:00 DST>))]

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