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/585#issuecomment-249059201,https://api.github.com/repos/pydata/xarray/issues/585,249059201,MDEyOklzc3VlQ29tbWVudDI0OTA1OTIwMQ==,1328158,2016-09-22T23:39:41Z,2017-03-07T05:32:04Z,NONE,"This is good news for me as the functions I will apply take a ndarray as
input and return a corresponding ndarray as output. Once this is available
in xarray I'll be eager to give it a whirl...","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,107424151
https://github.com/pydata/xarray/issues/585#issuecomment-248969870,https://api.github.com/repos/pydata/xarray/issues/585,248969870,MDEyOklzc3VlQ29tbWVudDI0ODk2OTg3MA==,1328158,2016-09-22T17:23:22Z,2016-09-22T17:23:22Z,NONE,"I'm adding this note to express an interest in the functionality described in Stephan's original description, i.e. a `parallel_apply` method/function which would apply a function in parallel utilizing multiple CPUs. I have (finally) worked out how to use `groupby` and `apply` for my application but it would be much more useful if I could apply functions in parallel to take advantage of multiple CPUs. What's the expected effort to make something like this available in xarray? Several months ago I worked on doing this sort of thing without xarray using the multiprocessing module and a shared memory object and I may revisit that soon, but I expect that a solution using xarray will be more elegant so if such a thing is coming in the foreseeable future then I may wait on that and focus on other tasks. Can anyone advise?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,107424151