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/2214#issuecomment-394757138,https://api.github.com/repos/pydata/xarray/issues/2214,394757138,MDEyOklzc3VlQ29tbWVudDM5NDc1NzEzOA==,1217238,2018-06-05T15:38:05Z,2018-06-05T15:38:36Z,MEMBER,"The different is `ImplicitToExplicitIndexingAdapter(array=NumpyIndexingAdapter(array=array([1, 2])))` vs `array([1, 2])`.

The challenge here is that xarray, unlike dask, keep very careful track of what types of indexing an array supports. This is important for working with various array storage systems, some of which support many types of indexing and some of which do not.

We should certainly add a short-cut that skips applying `ImplicitToExplicitIndexingAdapter` if `data` is a `numpy.ndarray`, on these lines in `Variable.chunk()`:
https://github.com/pydata/xarray/blob/bc52f8aa64833d8c97f9ef5253b6a78c7033f521/xarray/core/variable.py#L816-L822","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,329251342