issue_comments: 368383671
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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/1906#issuecomment-368383671 | https://api.github.com/repos/pydata/xarray/issues/1906 | 368383671 | MDEyOklzc3VlQ29tbWVudDM2ODM4MzY3MQ== | 2443309 | 2018-02-26T03:58:41Z | 2018-02-26T03:58:41Z | MEMBER | @mraspaud - The way to do this with xarray is: ```Python arr = xr.DataArray([[1, 2, 3]], dims=['time', 'x']) arr['time'] = np.array([1]) time_bnds = xr.DataArray([[0, 1]], dims=('time', 'nv')) arr['time'].attrs['bounds'] = 'time_bnds' dataset = xr.Dataset({'arr': arr, 'time_bnds': time_bnds}) dataset.info() ``` ``` xarray.Dataset { dimensions: nv = 2 ; time = 1 ; x = 3 ; variables: int64 time(time) ; time:bounds = time_bnds ; int64 arr(time, x) ; int64 time_bnds(time, nv) ; // global attributes: } ``` Note this is the same number of lines of code and is CF compliant. I personally don't see us going down the path of nesting xarray objects inside of Is there more to discuss here or should we close this? |
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