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/5620#issuecomment-883320031,https://api.github.com/repos/pydata/xarray/issues/5620,883320031,IC_kwDOAMm_X840pmTf,27021858,2021-07-20T11:32:45Z,2021-07-20T11:32:45Z,NONE,"@keewis thanks for your further explanation. 
In the mean time I have built a work-around because I recognized that xarray tries to keep the 2D arrays. nump reverts a 1D index array. 
Thanks","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,947796627
https://github.com/pydata/xarray/issues/5620#issuecomment-883077601,https://api.github.com/repos/pydata/xarray/issues/5620,883077601,IC_kwDOAMm_X840orHh,27021858,2021-07-20T05:39:10Z,2021-07-20T05:40:01Z,NONE,"@max-sixty I do not know what you want? You can download the file and I have placed all the code you need to run into this issue. 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,947796627
https://github.com/pydata/xarray/issues/1020#issuecomment-832111396,https://api.github.com/repos/pydata/xarray/issues/1020,832111396,MDEyOklzc3VlQ29tbWVudDgzMjExMTM5Ng==,27021858,2021-05-04T17:24:15Z,2021-05-04T17:24:15Z,NONE,"@shoyer I am having a similar problem. I am reading 80 files  with total 8.3 GB . So each files has around 100 MB. 
If I understand you right: Using mf_dataset on such data is not recommend? 
So best practive wouold be to loop over the files ?

PS: I still tried to use some dask related operations but eachtime I try to access `.values`  or  use `to_dataframe` the memory usage explodes. 
Thanks a lot for answering ;) ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,180080354
https://github.com/pydata/xarray/issues/3662#issuecomment-632692641,https://api.github.com/repos/pydata/xarray/issues/3662,632692641,MDEyOklzc3VlQ29tbWVudDYzMjY5MjY0MQ==,27021858,2020-05-22T13:33:01Z,2020-05-22T13:33:01Z,NONE,Is anybody able to answer this question?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,545324954
https://github.com/pydata/xarray/issues/3661#issuecomment-570800135,https://api.github.com/repos/pydata/xarray/issues/3661,570800135,MDEyOklzc3VlQ29tbWVudDU3MDgwMDEzNQ==,27021858,2020-01-04T16:43:55Z,2020-01-04T16:44:15Z,NONE,"I got the solution by my own: 

```
xarray.DataArray(frames_z,coords={""time"": timestamps, ""latitude"": ([""x"",""y""], grid[:, :, 1]),
                          ""longitude"": ([""x"",""y""], grid[:, :, 0])},
                  dims=[""time"", ""x"",""y""])
``` 

Would be great to have such an example in the documentation. Can you tell me how to contribute this to the documentation?","{""total_count"": 12, ""+1"": 6, ""-1"": 0, ""laugh"": 0, ""hooray"": 5, ""confused"": 0, ""heart"": 0, ""rocket"": 1, ""eyes"": 0}",,545297609