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/3701#issuecomment-575736943,https://api.github.com/repos/pydata/xarray/issues/3701,575736943,MDEyOklzc3VlQ29tbWVudDU3NTczNjk0Mw==,2448579,2020-01-17T18:15:26Z,2020-01-17T18:15:26Z,MEMBER,"yes. you'll need to have 1 chunk along the dimension being reduced (here 'time'). 

The reason is that there is no approximate quantile algorithm implemented in dask. So this implementation is just calling `np.nanpercentile` on each block of the array. If you're reducing along time, each block must have the entire time axis for this to work.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,551344538
https://github.com/pydata/xarray/issues/3701#issuecomment-575670529,https://api.github.com/repos/pydata/xarray/issues/3701,575670529,MDEyOklzc3VlQ29tbWVudDU3NTY3MDUyOQ==,2448579,2020-01-17T15:24:48Z,2020-01-17T15:24:48Z,MEMBER,"> seems to make quantile work, but it might be a bad idea to monkeypatch. T

Personally I would add this `quantile` function and then do `quantile(ds, q=0.99, dim=""SOMETHING"")`. We should issue a release soon though.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,551344538