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/1886#issuecomment-363612599,https://api.github.com/repos/pydata/xarray/issues/1886,363612599,MDEyOklzc3VlQ29tbWVudDM2MzYxMjU5OQ==,6815844,2018-02-07T00:23:09Z,2018-02-07T00:23:09Z,MEMBER,"Thanks.
I did not notice pandas issue. OK. I will follow numpy's API for argmin/argmax.

> The difference between ddof=0 and ddof=1 has never mattered to me

Me neither.
> but I don't know if it's worth the trouble of changing it.

OK. Agreed. I keep the current API.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294182366
https://github.com/pydata/xarray/issues/1886#issuecomment-362909203,https://api.github.com/repos/pydata/xarray/issues/1886,362909203,MDEyOklzc3VlQ29tbWVudDM2MjkwOTIwMw==,6815844,2018-02-04T14:06:15Z,2018-02-04T14:11:10Z,MEMBER,"I also noticed that pandas' `argmin` and `argmax` behave differently from those of `numpy`.
I think we should follow pandas because **the extension of pandas** is our core concept.
Currently, our `argmin` and `argmax` behave as those of numpy.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,294182366