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/1325#issuecomment-466581061,https://api.github.com/repos/pydata/xarray/issues/1325,466581061,MDEyOklzc3VlQ29tbWVudDQ2NjU4MTA2MQ==,26384082,2019-02-22T23:12:25Z,2019-02-22T23:12:25Z,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 or remove the `stale` label; 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}",,216689747
https://github.com/pydata/xarray/issues/1325#issuecomment-289164300,https://api.github.com/repos/pydata/xarray/issues/1325,289164300,MDEyOklzc3VlQ29tbWVudDI4OTE2NDMwMA==,1217238,2017-03-24T23:10:39Z,2017-03-24T23:10:39Z,MEMBER,The right solution is to use a KDTree. We've discussed possible syntax for this in https://github.com/pydata/xarray/issues/475 but nobody has implemented it yet. Russ Rew wrote a nice overview article on using KDTree in http://www.unidata.ucar.edu/blogs/developer/entry/accessing_netcdf_data_by_coordinates,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,216689747