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/470#issuecomment-304091977,https://api.github.com/repos/pydata/xarray/issues/470,304091977,MDEyOklzc3VlQ29tbWVudDMwNDA5MTk3Nw==,1191149,2017-05-25T18:49:29Z,2017-05-25T18:49:29Z,CONTRIBUTOR,"+1

Especially useful when using unstructured spatial datasets like observation stations.

```
import xarray as xr
nstations = 9
data = np.random.random(size = nstations)
longitude = np.random.random(size = nstations) + -90
latitude = np.random.random(size = nstations) + 40
da = xr.DataArray(np.random.random(nstations ), dims = ['station'], coords = dict(longitude = ('station', longitude), latitude = ('station', latitude))
da.scatter(x = 'longitude', y = 'latitude')
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,94787306