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/3937#issuecomment-656035267,https://api.github.com/repos/pydata/xarray/issues/3937,656035267,MDEyOklzc3VlQ29tbWVudDY1NjAzNTI2Nw==,8934026,2020-07-09T10:02:46Z,2020-07-09T10:02:46Z,NONE,@mathause Does the `skipna=True` flag not work in your last example?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,594669577
https://github.com/pydata/xarray/issues/2511#issuecomment-567966648,https://api.github.com/repos/pydata/xarray/issues/2511,567966648,MDEyOklzc3VlQ29tbWVudDU2Nzk2NjY0OA==,8934026,2019-12-20T15:37:09Z,2019-12-20T15:39:10Z,NONE,I'm just curious if there's been any progress on this issue. I'm also getting the same error: `TypeError: unexpected indexer type for VectorizedIndexer` and I would greatly benefit from lazy vectorized indexing.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,374025325
https://github.com/pydata/xarray/issues/3546#issuecomment-555554920,https://api.github.com/repos/pydata/xarray/issues/3546,555554920,MDEyOklzc3VlQ29tbWVudDU1NTU1NDkyMA==,8934026,2019-11-19T15:19:03Z,2019-11-19T15:22:12Z,NONE,"It is still kind of unsatisfying that my initial example fails as `da` is a three-dimensional array so `da[0,0].loc` should reduce to one-dimensional indexing but still gives the KeyError...","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,524940277
https://github.com/pydata/xarray/issues/3546#issuecomment-555529641,https://api.github.com/repos/pydata/xarray/issues/3546,555529641,MDEyOklzc3VlQ29tbWVudDU1NTUyOTY0MQ==,8934026,2019-11-19T14:23:18Z,2019-11-19T14:23:38Z,NONE,"Thanks @mathause , your example works :) This behaviour, however, seems to be slightly different from the [`.loc` API of `pandas.DataFrame`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.loc.html) which can take boolean arrays for selection. Is there a reason for the discrepancy?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,524940277
https://github.com/pydata/xarray/issues/1288#issuecomment-359536283,https://api.github.com/repos/pydata/xarray/issues/1288,359536283,MDEyOklzc3VlQ29tbWVudDM1OTUzNjI4Mw==,8934026,2018-01-22T19:25:43Z,2018-01-22T19:28:32Z,NONE,I've also contributed to developing a python package ([xrft](https://github.com/rabernat/xrft)) for fft keeping the awareness of the metadata of multidimensional xarray datasets.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,210704949