modin.pandas.DatetimeIndex.snap¶

DatetimeIndex.snap(freq: Frequency = 'S') → DatetimeIndex[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.26.0/snowpark-python/src/snowflake/snowpark/modin/plugin/extensions/datetime_index.py#L942-L959)¶

Snap time stamps to nearest occurring frequency.

Return type:: DatetimeIndex

Examples

>>> idx = pd.DatetimeIndex(['2023-01-01', '2023-01-02',
...                        '2023-02-01', '2023-02-02'])
>>> idx
DatetimeIndex(['2023-01-01', '2023-01-02', '2023-02-01', '2023-02-02'], dtype='datetime64[ns]', freq=None)
>>> idx.snap('MS')  
DatetimeIndex(['2023-01-01', '2023-01-01', '2023-02-01', '2023-02-01'], dtype='datetime64[ns]', freq=None)