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/6618#issuecomment-1130387230,https://api.github.com/repos/pydata/xarray/issues/6618,1130387230,IC_kwDOAMm_X85DYFce,35968931,2022-05-18T18:50:48Z,2022-05-18T18:50:48Z,MEMBER,No problem @PLSeuJ - if you think the docs could be clearer in any way then we are open to suggestions!,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1239640898
https://github.com/pydata/xarray/issues/6618#issuecomment-1130085017,https://api.github.com/repos/pydata/xarray/issues/6618,1130085017,IC_kwDOAMm_X85DW7qZ,35968931,2022-05-18T14:24:00Z,2022-05-18T14:24:33Z,MEMBER,"Hi @PLSeuJ, I'm not sure I understand (a minimum example of what you're trying to do would be helpful). Can you not just use `xr.concat(ds1, d2, dim=""time"")`? As long as your two radar data datasets lie on the same (lat, lon) grid points then that should do what you're asking for?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1239640898