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/2159#issuecomment-399319465,https://api.github.com/repos/pydata/xarray/issues/2159,399319465,MDEyOklzc3VlQ29tbWVudDM5OTMxOTQ2NQ==,6063709,2018-06-22T04:47:36Z,2018-06-22T04:47:36Z,CONTRIBUTOR,👍 for this feature,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,324350248
https://github.com/pydata/xarray/issues/2159#issuecomment-390670582,https://api.github.com/repos/pydata/xarray/issues/2159,390670582,MDEyOklzc3VlQ29tbWVudDM5MDY3MDU4Mg==,8453445,2018-05-21T14:28:08Z,2018-05-21T14:28:08Z,CONTRIBUTOR,"Thanks for opening up this issue. This would be very helpful for the forecasting community as well, where we usually concatenate along Start time and Lead time dimensions. 
Here, however, [was mentioned](https://stackoverflow.com/a/47557546/2789703) that it is quite difficult to generalize it, and he suggested a workaround. 
I know that some people did it for specific datasets, so maybe it would be helpful to add an example to the documentation that shows how this can be implemented on a case by case basis?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,324350248