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/3884#issuecomment-604775165,https://api.github.com/repos/pydata/xarray/issues/3884,604775165,MDEyOklzc3VlQ29tbWVudDYwNDc3NTE2NQ==,2272878,2020-03-27T01:57:44Z,2020-03-27T01:57:44Z,CONTRIBUTOR,"@shoyer xarray uses bottleneck for that if it can in [`xarray.nputils`](https://github.com/pydata/xarray/blob/6378a711d50ba7f1ba9b2a451d4d1f5e1fb37353/xarray/core/nputils.py#L197), so copying the numpy method would result in a performance hit.  However, xarray maintains a wrapper around the numpy/bottleneck version in [`xarray.nanops`](https://github.com/pydata/xarray/blob/b3d3b4480b7fb63402eb6c02103bb8d6c7dbf93a/xarray/core/nanops.py#L101) where this could perhaps be implemented.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,587062505
https://github.com/pydata/xarray/issues/3884#issuecomment-604220730,https://api.github.com/repos/pydata/xarray/issues/3884,604220730,MDEyOklzc3VlQ29tbWVudDYwNDIyMDczMA==,2272878,2020-03-26T04:22:18Z,2020-03-26T04:22:18Z,CONTRIBUTOR,"The problem I had when implementing `idxmin` and `idxmax` is that this behavior is defined by `numpy`, not by xarray, and bottleneck follows the same behavior, with xarray generally delegating the computation to one of these.  So you would need to somehow work around the behavior of numpy in xarray or get a fix implemented both in numpy and bottleneck.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,587062505