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- [FEATURE]: `CFTimeIndex.shift(float)` · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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1004761471 | https://github.com/pydata/xarray/issues/6134#issuecomment-1004761471 | https://api.github.com/repos/pydata/xarray/issues/6134 | IC_kwDOAMm_X84743F_ | spencerkclark 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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[FEATURE]: `CFTimeIndex.shift(float)` 1092867975 |
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