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/1267#issuecomment-338444436,https://api.github.com/repos/pydata/xarray/issues/1267,338444436,MDEyOklzc3VlQ29tbWVudDMzODQ0NDQzNg==,1217238,2017-10-22T01:42:39Z,2017-10-22T01:42:39Z,MEMBER,https://github.com/pydata/xarray/pull/1645 adds a FutureWarning. We'll actually change this in v0.11.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,207477701
https://github.com/pydata/xarray/issues/1267#issuecomment-279777811,https://api.github.com/repos/pydata/xarray/issues/1267,279777811,MDEyOklzc3VlQ29tbWVudDI3OTc3NzgxMQ==,1217238,2017-02-14T17:35:05Z,2017-02-14T17:35:05Z,MEMBER,"I agree, this is strange. `my_dataarray['Type']` is really just a convenient shortcut for `my_dataarray.coords['Type']`, but `DataArray` is meant to be primarily array-like so `in` should look at the values (we have `Dataset` for the dict-like container).

I would be in favor of changing this to look at values like `in` on NumPy arrays in the next major release (0.10.0). That's probably a little ways off though, so let's hold off on the pull request for now :).","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,207477701