id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
484212164,MDExOlB1bGxSZXF1ZXN0MzEwMTQwMTI2,3244,Make argmin/max work lazy with dask,13190237,closed,0,,,7,2019-08-22T20:55:49Z,2019-10-25T11:53:42Z,2019-09-06T23:15:19Z,CONTRIBUTOR,,0,pydata/xarray/pulls/3244,"As @shoyer pointed out in https://github.com/pydata/xarray/issues/3237, nanargmax/min from numpy or dask should be used when not working on object arrays. Also, nanargmin/max were added to the nputils module so they should be using bottleneck if available.


 - [x] Closes #3237
 - [x] Tests added
 - [x] Passes `black . && mypy . && flake8`
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3244/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull
481110823,MDExOlB1bGxSZXF1ZXN0MzA3NjczNzgx,3221,Allow invalid_netcdf=True in to_netcdf(),13190237,closed,0,,,6,2019-08-15T11:32:56Z,2019-08-22T20:20:42Z,2019-08-22T20:12:11Z,CONTRIBUTOR,,0,pydata/xarray/pulls/3221,"Hi all,

I prepared a little PR which could close #2243 and would allow for a IMO clean way of writing data with complex dtypes (and others).

What do you think? 

TODOs:
----------
 - [X] Closes #2243
 - [X] Tests added
 - [x] Passes `black . && mypy . && flake8`
 - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API
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