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/447#issuecomment-116408121,https://api.github.com/repos/pydata/xarray/issues/447,116408121,MDEyOklzc3VlQ29tbWVudDExNjQwODEyMQ==,1217238,2015-06-29T03:17:53Z,2015-06-29T03:17:53Z,MEMBER,"closing this in favor of #130.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,91665446
https://github.com/pydata/xarray/issues/447#issuecomment-116407408,https://api.github.com/repos/pydata/xarray/issues/447,116407408,MDEyOklzc3VlQ29tbWVudDExNjQwNzQwOA==,1217238,2015-06-29T03:16:44Z,2015-06-29T03:16:44Z,MEMBER,"I agree, this would be very nice. Contributions in this area would be very welcome.

The easy way to do this would be by wrapping [bottleneck](https://github.com/kwgoodman/bottleneck):
https://github.com/xray/xray/issues/130

Bottleneck is also pretty easy to use on its own. To adapt it for xray, it would mostly be a matter of converting the `axis` argument to `dim`.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,91665446