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/2355#issuecomment-412250048,https://api.github.com/repos/pydata/xarray/issues/2355,412250048,MDEyOklzc3VlQ29tbWVudDQxMjI1MDA0OA==,7747527,2018-08-11T04:31:12Z,2018-08-11T04:31:12Z,NONE,"I want this feature, and the way you proposed is very elegant! The last time I made an animation, I needed to output each frames to .png and packed them as a movie file using imagemagick. I would love to see this feature realized!! ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,349026158
https://github.com/pydata/xarray/issues/2034#issuecomment-378128255,https://api.github.com/repos/pydata/xarray/issues/2034,378128255,MDEyOklzc3VlQ29tbWVudDM3ODEyODI1NQ==,7747527,2018-04-03T04:56:26Z,2018-04-03T04:56:26Z,NONE,"@rabernat I like your vision. Ncview is so simple yet powerful that I totally neglect how terrible it looks. Also the examples provided @JiaweiZhuang seem perfect for such task. All parts are there, just waiting for someone to put them together! ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,310547057
https://github.com/pydata/xarray/issues/2034#issuecomment-378021302,https://api.github.com/repos/pydata/xarray/issues/2034,378021302,MDEyOklzc3VlQ29tbWVudDM3ODAyMTMwMg==,7747527,2018-04-02T19:38:09Z,2018-04-02T19:38:09Z,NONE,"From my experience, there are plenty of existing tools can do the data explore/quick-view thing, including the basic ncview, ncdump, cdo or panoply. Some of them support OpenDAP. I'm not sure if Xarray needs to have such feature. ","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,310547057
https://github.com/pydata/xarray/issues/1844#issuecomment-359025678,https://api.github.com/repos/pydata/xarray/issues/1844,359025678,MDEyOklzc3VlQ29tbWVudDM1OTAyNTY3OA==,7747527,2018-01-19T16:55:25Z,2018-01-19T16:55:25Z,NONE,"So you got a two-year temperature field with dimension [730, 1, 481, 781], and another mean, and std data arrays  of [366, 1, 481, 781] and you want to normalize the temperature field. 

Sorry I'm not familiar with the Xarray's groupby functions, I'll try several things before some experts jumping in. 

- Concat two std/mean fields along dayofyear, and reindex to the time index from the temperature data. Then you can do the (dset-mean)/std
- Separate the temperature fields into two one-year chunks, reindex time to dayofyear, then do the calculation. 
- Flatten the spatial grid then use numpy to do the trick.

I'm also interested in the right way to do it using built-in Xarray functions. I'm pretty sure there are some more clever ways to do this. 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,290023410
https://github.com/pydata/xarray/issues/995#issuecomment-243965764,https://api.github.com/repos/pydata/xarray/issues/995,243965764,MDEyOklzc3VlQ29tbWVudDI0Mzk2NTc2NA==,7747527,2016-09-01T03:24:49Z,2016-09-01T03:24:49Z,NONE,"Thank you for answering. 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,174390114