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/2027#issuecomment-1101062820,https://api.github.com/repos/pydata/xarray/issues/2027,1101062820,IC_kwDOAMm_X85BoOKk,26384082,2022-04-18T03:43:46Z,2022-04-18T03:43:46Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,309686915
https://github.com/pydata/xarray/issues/2027#issuecomment-645498777,https://api.github.com/repos/pydata/xarray/issues/2027,645498777,MDEyOklzc3VlQ29tbWVudDY0NTQ5ODc3Nw==,6213168,2020-06-17T17:01:29Z,2020-06-17T17:01:29Z,MEMBER,Still relevant,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,309686915
https://github.com/pydata/xarray/issues/2027#issuecomment-645458207,https://api.github.com/repos/pydata/xarray/issues/2027,645458207,MDEyOklzc3VlQ29tbWVudDY0NTQ1ODIwNw==,26384082,2020-06-17T15:49:50Z,2020-06-17T15:49:50Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity

If this issue remains relevant, please comment here or remove the `stale` label; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,309686915
https://github.com/pydata/xarray/issues/2027#issuecomment-377314912,https://api.github.com/repos/pydata/xarray/issues/2027,377314912,MDEyOklzc3VlQ29tbWVudDM3NzMxNDkxMg==,1217238,2018-03-29T17:40:30Z,2018-03-29T17:40:30Z,MEMBER,"I think the short answer why we don't support this is that with `__getitem__` on Dataset it's potentially ambiguous which dimensions you are slicing along. This is why we require you to specify the dimensions using `sel()`.

This might be clearer with integer indexing. We support indexing like `ds.vote[np.array([1, 2])]` or `ds.vote[xarray.DataArray([1, 2], dims='new_dim')]` because it's clear what the first dimension of `ds.vote` is. (Recall that the dimensions of the indexing key only determine how data in the result is arranged, not what is indexed.) But we don't support `ds[np.array([1, 2])]`, because axis-order dependent indexing on a Dataset is potentially ambiguous.

However, we *could* potentially support this as a form of ""multi-dimensional boolean indexing"" (https://github.com/pydata/xarray/issues/1887). Basically, `ds[key]` where `key` is a single indexer with boolean dtype could be interpreted as equivalent to `ds.where(key, drop=True)`.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,309686915