snowflake.snowpark.functions.to_date¶

snowflake.snowpark.functions.to_date(e: Union[Column, str], fmt: Union[Column, None, bool, int, float, str, bytearray, Decimal, date, datetime, time, bytes, NaTType, float64, list, tuple, dict] = None) → Column[source]¶

Converts an input expression into a date.

Example:

>>> df = session.create_dataframe(['2013-05-17', '2013-05-17'], schema=['a'])
>>> df.select(to_date(col('a')).as_('ans')).collect()
[Row(ANS=datetime.date(2013, 5, 17)), Row(ANS=datetime.date(2013, 5, 17))]

>>> df = session.create_dataframe(['2013-05-17', '2013-05-17'], schema=['a'])
>>> df.select(to_date(col('a'), 'YYYY-MM-DD').as_('ans')).collect()
[Row(ANS=datetime.date(2013, 5, 17)), Row(ANS=datetime.date(2013, 5, 17))]

>>> df = session.create_dataframe(['2013-05-17', '2013-05-17'], schema=['a'])
>>> df.select(to_date(col('a'), 'YYYY-MM-DD').as_('ans')).collect()
[Row(ANS=datetime.date(2013, 5, 17)), Row(ANS=datetime.date(2013, 5, 17))]

>>> df = session.create_dataframe(['31536000000000', '71536004000000'], schema=['a'])
>>> df.select(to_date(col('a')).as_('ans')).collect()
[Row(ANS=datetime.date(1971, 1, 1)), Row(ANS=datetime.date(1972, 4, 7))]
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