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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 494210818 | MDExOlB1bGxSZXF1ZXN0MzE4MDA5MjU3 | 3312 | convert DataArray to DataSet before combine | friedrichknuth 10554254 | open | 0 | 10 | 2019-09-16T18:37:35Z | 2022-06-09T14:50:17Z | FIRST_TIME_CONTRIBUTOR | 0 | pydata/xarray/pulls/3312 | Enables combine_by_coords on DataArrays. Will convert DataArray to DataSet before proceeding. As mentioned in #3248, this will still fail if the DataArray is unnamed, but at least the error message tells the user why. Previously, combining both named ``` da1 = xr.DataArray(name='foo', data=np.random.rand(3,3), coords=[('x', [1, 2, 3]), ('y', [1, 2, 3])]) da2 = xr.DataArray(name='foo2', data=np.random.rand(3,3), coords=[('x', [5, 6, 7]), ('y', [5, 6, 7])]) xr.combine_by_coords([da1, da2]) ``` and unnamed DataArrays ``` da1 = xr.DataArray(data=np.random.rand(3,3), coords=[('x', [1, 2, 3]), ('y', [1, 2, 3])]) da2 = xr.DataArray(data=np.random.rand(3,3), coords=[('x', [5, 6, 7]), ('y', [5, 6, 7])]) xr.combine_by_coords([da1, da2])
With this PR, combining the named DataArrays results in a combined DataSet, while the latter example will result in
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