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/1050#issuecomment-670978328,https://api.github.com/repos/pydata/xarray/issues/1050,670978328,MDEyOklzc3VlQ29tbWVudDY3MDk3ODMyOA==,5635139,2020-08-08T21:59:18Z,2020-08-08T21:59:18Z,MEMBER,"Thanks for finding that @sjvrijn 

I don't have a view on what we should use, so I would vote to defer to numpy (and pandas, [which also seems to use 1](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.std.html)), referencing that documentation to the extent xarray isn't changing anything.

But others probably have a stronger view on which `ddof` we should use?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,183713222
https://github.com/pydata/xarray/issues/1050#issuecomment-254635928,https://api.github.com/repos/pydata/xarray/issues/1050,254635928,MDEyOklzc3VlQ29tbWVudDI1NDYzNTkyOA==,1217238,2016-10-18T20:52:24Z,2016-10-18T20:52:24Z,MEMBER,"Good question. Setting `ddof` should work. It's passed on to `nanvar` from NumPy or bottleneck, both of which default to `ddof=0`.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,183713222