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/1249#issuecomment-456756488,https://api.github.com/repos/pydata/xarray/issues/1249,456756488,MDEyOklzc3VlQ29tbWVudDQ1Njc1NjQ4OA==,26384082,2019-01-23T10:48:56Z,2019-01-23T10:48:56Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity If this issue remains relevant, please comment here; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,205414496
https://github.com/pydata/xarray/issues/1249#issuecomment-277969098,https://api.github.com/repos/pydata/xarray/issues/1249,277969098,MDEyOklzc3VlQ29tbWVudDI3Nzk2OTA5OA==,731499,2017-02-07T11:14:42Z,2017-02-07T11:14:42Z,CONTRIBUTOR,"ok, I see. In case there's a vote, I vote for raising an error in 1D too :-)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,205414496
https://github.com/pydata/xarray/issues/1249#issuecomment-277776040,https://api.github.com/repos/pydata/xarray/issues/1249,277776040,MDEyOklzc3VlQ29tbWVudDI3Nzc3NjA0MA==,10050469,2017-02-06T18:52:31Z,2017-02-06T18:52:31Z,MEMBER,"> Would it mean that creating a Dataset with 1D arrays with no named dimension would raise an error? That would be very impractical.

it's already the case with any array of more than 1 dim.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,205414496
https://github.com/pydata/xarray/issues/1249#issuecomment-277767832,https://api.github.com/repos/pydata/xarray/issues/1249,277767832,MDEyOklzc3VlQ29tbWVudDI3Nzc2NzgzMg==,731499,2017-02-06T18:22:08Z,2017-02-06T18:22:08Z,CONTRIBUTOR,"I don't understand the ""raise an error"" option. Would it mean that creating a Dataset with 1D arrays with no named dimension would raise an error? That would be very impractical. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,205414496
https://github.com/pydata/xarray/issues/1249#issuecomment-277759129,https://api.github.com/repos/pydata/xarray/issues/1249,277759129,MDEyOklzc3VlQ29tbWVudDI3Nzc1OTEyOQ==,1217238,2017-02-06T17:52:05Z,2017-02-06T17:52:05Z,MEMBER,"This was intentional, but is perhaps too magical/overloaded.

Here's the reasoning:
1. If dimension names are not provided for a 1D array, presume that it's sole dimension is the same as it's name.
2. Variables with the same name as a dimension must be coordinates in the xarray data model. Hence make these variables coordinates, even if they appears in the `data_vars` argument. (This is a bit of a hold from before there was a separate `coords` argument.)

Note that if you put an array with 2 or more dimensions directly into `data_vars`/`coords` you currently get `ValueError`.

Alternative behaviors that might make more sense:
- Raise an error for this behavior, only allowing implicit dimension names when you put an array in `coords`.
- Deprecate implicit dimension names for 1D arrays altogether. Later, switch to labeling arrays with automatic dimension names like the `DataArray` constructor.

I'm not a huge fan of this second option because if you don't get an error it would be easy to construct datasets with some variables having the wrong dimension names.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,205414496
https://github.com/pydata/xarray/issues/1249#issuecomment-277576684,https://api.github.com/repos/pydata/xarray/issues/1249,277576684,MDEyOklzc3VlQ29tbWVudDI3NzU3NjY4NA==,5635139,2017-02-06T03:04:02Z,2017-02-06T03:04:02Z,MEMBER,"I agree that outcome isn't what I would have expected. If you put the input into a `DataArray` first, this performs as expected. 

```python
In [5]: lat = np.random.rand(50000) * 180 - 90
   ...: lon = np.random.rand(50000) * 360 - 180
   ...: d = xr.Dataset({'latitude':xr.DataArray(lat), 'longitude':lon})
   ...:
   ...:

In [6]: d
Out[6]:
<xarray.Dataset>
Dimensions:    (dim_0: 50000, longitude: 50000)
Coordinates:
  * longitude  (longitude) float64 -80.73 -118.8 88.66 -132.1 -74.87 27.2 ...
Dimensions without coordinates: dim_0
Data variables:
    latitude   (dim_0) float64 47.59 26.57 30.56 -12.52 65.44 70.32 84.45 ...
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,205414496