issue_comments: 418191318
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| 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/1844#issuecomment-418191318 | https://api.github.com/repos/pydata/xarray/issues/1844 | 418191318 | MDEyOklzc3VlQ29tbWVudDQxODE5MTMxOA== | 6628425 | 2018-09-03T20:51:37Z | 2018-09-03T20:55:08Z | MEMBER | Building on the above example, if you're OK with using a coordinate of strings, the following might be a little simpler way of defining the labels to use for grouping (this is perhaps closer to a single attribute solution): ``` In [14]: month_day_str = xr.DataArray(da.indexes['time'].strftime('%m-%d'), coords=da.coords, ...: name='month_day_str') ...: In [15]: da.groupby(month_day_str).mean('time') Out[15]: <xarray.DataArray (month_day_str: 2)> array([2., 3.]) Coordinates: * month_day_str (month_day_str) object '01-01' '03-01' ``` Note #2090 / #2144 would make this more straightforward. |
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