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/3007#issuecomment-602581904,https://api.github.com/repos/pydata/xarray/issues/3007,602581904,MDEyOklzc3VlQ29tbWVudDYwMjU4MTkwNA==,2448579,2020-03-23T13:15:15Z,2020-03-23T13:15:15Z,MEMBER,Thanks @sjvrijn ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,454073421
https://github.com/pydata/xarray/issues/3007#issuecomment-501313101,https://api.github.com/repos/pydata/xarray/issues/3007,501313101,MDEyOklzc3VlQ29tbWVudDUwMTMxMzEwMQ==,1217238,2019-06-12T14:58:53Z,2019-06-12T14:58:53Z,MEMBER,"You will need to share a full example in order for me to explain why it
works that way

On Wed, Jun 12, 2019 at 7:36 AM santianmen <notifications@github.com> wrote:

> I know what ""NaN"" means. I was hoping that by transforming the dataset
> into a dataframe and then returning back, the dataset variables would
> recover its original shape.
>
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","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,454073421
https://github.com/pydata/xarray/issues/3007#issuecomment-501121539,https://api.github.com/repos/pydata/xarray/issues/3007,501121539,MDEyOklzc3VlQ29tbWVudDUwMTEyMTUzOQ==,1217238,2019-06-12T05:02:56Z,2019-06-12T05:02:56Z,MEMBER,"In xarray and pandas, ""NaN"" just means ""missing value"". This typically happens if your DataFrame does not contain a row for every combination of Dataset coordinates, for whatever reason.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,454073421