html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
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')
```","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1092867975