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/pull/2375#issuecomment-417430252,https://api.github.com/repos/pydata/xarray/issues/2375,417430252,MDEyOklzc3VlQ29tbWVudDQxNzQzMDI1Mg==,4806877,2018-08-30T18:58:35Z,2018-08-30T18:58:35Z,CONTRIBUTOR,Great! Thanks so much for all the feedback :),"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,352677925
https://github.com/pydata/xarray/pull/2375#issuecomment-415493314,https://api.github.com/repos/pydata/xarray/issues/2375,415493314,MDEyOklzc3VlQ29tbWVudDQxNTQ5MzMxNA==,4806877,2018-08-23T17:02:15Z,2018-08-23T17:02:15Z,CONTRIBUTOR,Thanks for the context!,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,352677925
https://github.com/pydata/xarray/pull/2375#issuecomment-415490818,https://api.github.com/repos/pydata/xarray/issues/2375,415490818,MDEyOklzc3VlQ29tbWVudDQxNTQ5MDgxOA==,4806877,2018-08-23T16:56:07Z,2018-08-23T16:56:07Z,CONTRIBUTOR,I can change it. I guess I was looking at `Dataset.transpose`: https://github.com/pydata/xarray/blob/master/xarray/core/dataset.py#L2498,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,352677925
https://github.com/pydata/xarray/pull/2375#issuecomment-415473341,https://api.github.com/repos/pydata/xarray/issues/2375,415473341,MDEyOklzc3VlQ29tbWVudDQxNTQ3MzM0MQ==,4806877,2018-08-23T16:06:51Z,2018-08-23T16:06:51Z,CONTRIBUTOR,"I chose to use *dims rather than a list of dims so that this change will have a very small impact on people. Most people probably do something like `unstack('z')` right now, and that will still work.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,352677925
https://github.com/pydata/xarray/pull/2375#issuecomment-415437261,https://api.github.com/repos/pydata/xarray/issues/2375,415437261,MDEyOklzc3VlQ29tbWVudDQxNTQzNzI2MQ==,4806877,2018-08-23T14:29:01Z,2018-08-23T14:29:01Z,CONTRIBUTOR,"Ok so in this PR I will make unstack accept multiple dims like `xr.DataFrame.unstack(*dims)`. The order of the dims will only be roundtripped if all dims are stacked into one, but I think that is reasonable.

In a follow on PR I will make `xarray.label_like(array, other)`. I think that notation speaks more to what we are trying to convey, but I do think the position of the arguments isn't intuitive. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,352677925
https://github.com/pydata/xarray/pull/2375#issuecomment-415099271,https://api.github.com/repos/pydata/xarray/issues/2375,415099271,MDEyOklzc3VlQ29tbWVudDQxNTA5OTI3MQ==,4806877,2018-08-22T16:44:47Z,2018-08-22T17:46:24Z,CONTRIBUTOR,">we have similar method reset_index. Do we also want to make dim optional?

I don't have an opinion on that except to say that `reset_index` takes an iter of dims so it is at least slightly different. So to me it seems fine to only make dim optional on unstack.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,352677925
https://github.com/pydata/xarray/pull/2375#issuecomment-415053454,https://api.github.com/repos/pydata/xarray/issues/2375,415053454,MDEyOklzc3VlQ29tbWVudDQxNTA1MzQ1NA==,4806877,2018-08-22T14:32:51Z,2018-08-22T15:23:27Z,CONTRIBUTOR,"> what should be done if DataArray or Dataset has multiple MultiIndexes.
Maybe do we unstack all the MultiIndexes?

I like the idea of unstacking all the MultiIndexes, but in that case should we allow passing in multiple dims? It seems weird to do a recursive unstack in the case of no argument passed without allowing the user to specifically choose multiple dims along which to unstack. 

I think it is probably better to just choose a default dim to unstack like this PR does. But maybe it is better to choose the first dim that is MultiIndex rather than the first dim. That way if you do a stack().unstack() you will roundtrip your data since the stacked index gets added to the end of dims. And if you just pass an object with one MultiIndex (probably the most common scenario) unstack will do the right thing. And if you pass an object with multiple MultiIndexes and unstack repeatedly, you will get your original data out.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,352677925