issue_comments: 1004761471

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https://github.com/pydata/xarray/issues/6134#issuecomment-1004761471 https://api.github.com/repos/pydata/xarray/issues/6134 1004761471 IC_kwDOAMm_X84743F_ 6628425 2022-01-04T12:19:51Z 2022-01-04T12:19:51Z MEMBER

For shift intervals that can be represented as timedeltas this seems reasonably straightforward to add. I would hold off for monthly or annual intervals -- even for 360-day calendars, I don't think that non-integer shift factors are very well-defined in that context, since those frequencies involve rounding, e.g. to the beginnings or ends of months: ``` In [2]: times = xr.cftime_range("2000", freq="7D", periods=7)

In [3]: times Out[3]: CFTimeIndex([2000-01-01 00:00:00, 2000-01-08 00:00:00, 2000-01-15 00:00:00, 2000-01-22 00:00:00, 2000-01-29 00:00:00, 2000-02-05 00:00:00, 2000-02-12 00:00:00], dtype='object', length=7, calendar='gregorian', freq='7D')

In [4]: times.shift(2, "M") Out[4]: CFTimeIndex([2000-02-29 00:00:00, 2000-02-29 00:00:00, 2000-02-29 00:00:00, 2000-02-29 00:00:00, 2000-02-29 00:00:00, 2000-03-31 00:00:00, 2000-03-31 00:00:00], dtype='object', length=7, calendar='gregorian', freq='None') ```

 
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