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
186868181,MDU6SXNzdWUxODY4NjgxODE=,1074,DataArray.apply is missing,1310437,open,0,,,9,2016-11-02T17:30:45Z,2022-11-04T17:18:58Z,,CONTRIBUTOR,,,,"In essence, I'm looking for the functionality of `xarray.core.utils.maybe_wrap_array`. I guess you are waiting for #964 to unify such functionality?","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/1074/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,issue
189129954,MDU6SXNzdWUxODkxMjk5NTQ=,1120,Creating a `Dataset` with a coordinate given by a `DataArray` may create an invalid dataset,1310437,closed,0,,,3,2016-11-14T14:46:44Z,2017-09-06T00:07:08Z,2017-09-06T00:07:08Z,CONTRIBUTOR,,,,"Consider this:
```
import xarray as xr
import numpy as np
ds = xr.Dataset(
    data_vars=dict(
        v = ('y',np.r_[0:10]),
    ),
    coords=dict(
        y=xr.DataArray(np.r_[:10]/10,dims='x'),
    ),
)
```
The dataset `ds` will end up having dimensions `('x', 'y')` because of the coordinate `y` having dimensions `('x',)`.
This seems to violate some of the internal assumptions (`ds.indexes['y'].name` turns out to be `'x'`),
consequently `ds.sel(y=0)` will throw an exception (`ValueError: cannot use a dict-like object for selection on a dimension that does not have a MultiIndex`).

I came across this situation when trying to generate a dataset with a coordinate that is a copy of another pre-existing coordinate, but under a different name. My expectation was that the coordinate would be renamed (doing so manually also doesn't work out of the box due to #1116). Of course that is not the only possible interpretation of the construct above, arguably it should raise an exception instead (which is what `DataArray` currently does in the corresponding case).","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/1120/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
189415576,MDU6SXNzdWUxODk0MTU1NzY=,1121,Performance degradation: `DataArray` with `dtype=object` of `DataArray` gets very slow indexing,1310437,closed,0,,,3,2016-11-15T15:04:29Z,2016-11-15T17:36:26Z,2016-11-15T17:36:26Z,CONTRIBUTOR,,,,"I did not follow the code deeply, but there clearly seems to be a huge overhead when indexing such arrays. In particular, in the following code
```python
import xarray as xr
import numpy as np

a = xr.DataArray([None for k in range(100)],dims='c')
for k in range(a.c.size):
    a[k] = xr.DataArray(np.random.randn(1000,5),dims=['a','b'])

%prun a[0]
```
the indexing operation takes about 1 second on my machine, or 2 seconds when running under the profiler. The profiler output shows lots of functions with a recursive call count exceeding 100'000 (most likely iterating through each row of the contained sub-arrays). However, there is really no reason to iterate through the nested elements.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/1121/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue
189081147,MDU6SXNzdWUxODkwODExNDc=,1116,`DataArray.rename` of a coordinate array fails to rename the coordinate name of it's own coordinate,1310437,closed,0,,,1,2016-11-14T10:47:24Z,2016-11-15T16:18:03Z,2016-11-15T16:18:03Z,CONTRIBUTOR,,,,"The documentation of `DataArray.rename` states that it renames the name of the DataArray and/or associated coordinates. However, if a name happens to be simultaneously the name of the array and of a coordinate, it only renames the array. This situation particularly arises when one tries to create a renamed coordinate to use on a different (new) array/dataset, as in that case the name of the only dimension of the coordinate array is the name of the array itself. ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/1116/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue