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/1555#issuecomment-327599255,https://api.github.com/repos/pydata/xarray/issues/1555,327599255,MDEyOklzc3VlQ29tbWVudDMyNzU5OTI1NQ==,2443309,2017-09-06T20:11:00Z,2017-09-06T20:11:00Z,MEMBER,"At a minimum, we should make sure that the objects passed to `save_mfdataset` are in fact datasets.","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,255701612
https://github.com/pydata/xarray/issues/1555#issuecomment-327583527,https://api.github.com/repos/pydata/xarray/issues/1555,327583527,MDEyOklzc3VlQ29tbWVudDMyNzU4MzUyNw==,2443309,2017-09-06T19:06:54Z,2017-09-06T19:06:54Z,MEMBER,"@kuchaale - Thanks for the report. You are trying to save a list of DataArray objects using `save_mfdataset`, which does not currently support saving DataArrays to netCDF.

Changing your line:

```Python
foo = xr.DataArray(data, coords=[times, locs], dims=['time', 'space'])
foo.name = 'foo'
```
to
```Python
foo = xr.DataArray(data, coords=[times, locs], dims=['time', 'space']).to_dataset(name='foo')
```
 
corrects issue.

We could add a `save_mfdataarray` function or just handle the type conversion in `save_mfdataset` if that would be useful.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,255701612