pandas.DatetimeIndex.snap#

DatetimeIndex.snap(freq='S')[source]#

Snap time stamps to nearest occurring frequency.

Returns:

DatetimeIndex

Examples

>>>idx=pd.DatetimeIndex(['2023-01-01','2023-01-02',...'2023-02-01','2023-02-02'])>>>idxDatetimeIndex(['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)