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/456#issuecomment-138742787,https://api.github.com/repos/pydata/xarray/issues/456,138742787,MDEyOklzc3VlQ29tbWVudDEzODc0Mjc4Nw==,1217238,2015-09-09T00:59:02Z,2015-09-09T00:59:02Z,MEMBER,"Closing as a dupe of https://github.com/xray/xray/issues/303
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,93416316
https://github.com/pydata/xarray/issues/456#issuecomment-119076250,https://api.github.com/repos/pydata/xarray/issues/456,119076250,MDEyOklzc3VlQ29tbWVudDExOTA3NjI1MA==,1217238,2015-07-07T05:30:00Z,2015-07-07T06:34:11Z,MEMBER,"Yes, this is an appropriate place to ask these questions.

No, we don't have a percentile/quantile method currently. This would be a welcome addition if you are interested in putting together a pull request.

For now, you can work around it by using the reduce method: `ds.reduce(functools.partial(np.percentile, q=95), dim='time')`
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,93416316