snowflake.snowpark.functions.date_trunc¶

snowflake.snowpark.functions.date_trunc(part: Union[Column, str], expr: Union[Column, str]) → Column[source]¶

Truncates a DATE, TIME, or TIMESTAMP to the specified precision.

Note that truncation is not the same as extraction. For example: - Truncating a timestamp down to the quarter returns the timestamp corresponding to midnight of the first day of the quarter for the input timestamp. - Extracting the quarter date part from a timestamp returns the quarter number of the year in the timestamp.

Example::

>>> import datetime
>>> df = session.create_dataframe(
...     [[datetime.datetime.strptime("2020-05-01 13:11:20.000", "%Y-%m-%d %H:%M:%S.%f")]],
...     schema=["a"],
... )
>>> df.select(date_trunc("YEAR", "a"), date_trunc("MONTH", "a"), date_trunc("DAY", "a")).collect()
[Row(DATE_TRUNC("YEAR", "A")=datetime.datetime(2020, 1, 1, 0, 0), DATE_TRUNC("MONTH", "A")=datetime.datetime(2020, 5, 1, 0, 0), DATE_TRUNC("DAY", "A")=datetime.datetime(2020, 5, 1, 0, 0))]
>>> df.select(date_trunc("HOUR", "a"), date_trunc("MINUTE", "a"), date_trunc("SECOND", "a")).collect()
[Row(DATE_TRUNC("HOUR", "A")=datetime.datetime(2020, 5, 1, 13, 0), DATE_TRUNC("MINUTE", "A")=datetime.datetime(2020, 5, 1, 13, 11), DATE_TRUNC("SECOND", "A")=datetime.datetime(2020, 5, 1, 13, 11, 20))]
>>> df.select(date_trunc("QUARTER", "a")).collect()
[Row(DATE_TRUNC("QUARTER", "A")=datetime.datetime(2020, 4, 1, 0, 0))]

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