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id node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
318009257 MDExOlB1bGxSZXF1ZXN0MzE4MDA5MjU3 3312 open 0 convert DataArray to DataSet before combine 10554254 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]) ``` failed with `ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()` With this PR, combining the named DataArrays results in a combined DataSet, while the latter example will result in `ValueError: unable to convert unnamed DataArray to a Dataset without providing an explicit name` 2019-09-16T18:37:35Z 2022-06-09T14:50:17Z     e7a2e3b14bb20872a03f0a9e96339db46512a0c9     0 53afe58ae12f1b0e5873638b7a05db0845862b8c d1e4164f3961d7bbb3eb79037e96cae14f7182f8 FIRST_TIME_CONTRIBUTOR   13221727 https://github.com/pydata/xarray/pull/3312  

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