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/1524#issuecomment-514002753,https://api.github.com/repos/pydata/xarray/issues/1524,514002753,MDEyOklzc3VlQ29tbWVudDUxNDAwMjc1Mw==,1217238,2019-07-23T00:18:05Z,2019-07-23T00:18:05Z,MEMBER,"> @shoyer does [dask/dask#4677](https://github.com/dask/dask/pull/4677) solve those accuracy concerns?

Yes, to some degree. I'm still troubled by that the ""default"" algorithm (which is selected by default) has no error bounds. It seems a little backwards to me to default to a fast algorithm with unknown accuracy.

Also, it still only works on 1D arrays, which would not be terribly useful for us.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,252548859
https://github.com/pydata/xarray/issues/1524#issuecomment-404733610,https://api.github.com/repos/pydata/xarray/issues/1524,404733610,MDEyOklzc3VlQ29tbWVudDQwNDczMzYxMA==,1217238,2018-07-13T05:55:14Z,2018-07-13T05:55:14Z,MEMBER,See also https://github.com/dask/dask/issues/3099,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,252548859
https://github.com/pydata/xarray/issues/1524#issuecomment-404733398,https://api.github.com/repos/pydata/xarray/issues/1524,404733398,MDEyOklzc3VlQ29tbWVudDQwNDczMzM5OA==,1217238,2018-07-13T05:53:58Z,2018-07-13T05:53:58Z,MEMBER,"@acrosby if you're at SciPy, I'd be happy to chat about this tomorrow or over the weekend if you're staying for the sprints. This is not an immediate priority for me, but it would be straightforward to make quantile work over non-chunked dimensions by rewriting it to use `apply_ufunc`.

Approximate quantiles over chunked dimensions *could* be done by leveraging dask.array.percentile, but that algorithm has some accuracy concerns. See https://github.com/dask/dask/issues/1225 for discussion.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,252548859