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/644#issuecomment-1546367218,https://api.github.com/repos/pydata/xarray/issues/644,1546367218,IC_kwDOAMm_X85cK7Dy,3892695,2023-05-12T22:16:16Z,2023-05-12T22:31:46Z,NONE,+1 https://stackoverflow.com/questions/76239626/xarray-preprocess-for-nearest-lat-lon-non-nan-variable,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,114773593
https://github.com/pydata/xarray/issues/644#issuecomment-1149521161,https://api.github.com/repos/pydata/xarray/issues/644,1149521161,IC_kwDOAMm_X85EhE0J,20603302,2022-06-08T06:36:30Z,2022-06-08T06:36:30Z,NONE,Just want to bump this again because I just ran into this issue too... ,"{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,114773593
https://github.com/pydata/xarray/issues/644#issuecomment-1016260786,https://api.github.com/repos/pydata/xarray/issues/644,1016260786,IC_kwDOAMm_X848kuiy,6514690,2022-01-19T09:47:15Z,2022-01-19T09:47:15Z,NONE,"I just want to +1 this issue since I'm having the exact same problem. It would be great if the `.sel(method=""nearest"")` could ignore `NaNs` as an option","{""total_count"": 15, ""+1"": 15, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,114773593
https://github.com/pydata/xarray/issues/644#issuecomment-721441489,https://api.github.com/repos/pydata/xarray/issues/644,721441489,MDEyOklzc3VlQ29tbWVudDcyMTQ0MTQ4OQ==,57269213,2020-11-04T00:13:33Z,2020-11-04T00:13:33Z,NONE,"That's a bummer, but thanks for the fast reply","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,114773593
https://github.com/pydata/xarray/issues/644#issuecomment-721437184,https://api.github.com/repos/pydata/xarray/issues/644,721437184,MDEyOklzc3VlQ29tbWVudDcyMTQzNzE4NA==,57269213,2020-11-03T23:59:06Z,2020-11-03T23:59:06Z,NONE,"I am having this exact same issue. Has there been an update that would make this task straightforward using xarray capabilities?
Thanks","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,114773593
https://github.com/pydata/xarray/issues/644#issuecomment-458802173,https://api.github.com/repos/pydata/xarray/issues/644,458802173,MDEyOklzc3VlQ29tbWVudDQ1ODgwMjE3Mw==,26384082,2019-01-30T03:51:46Z,2019-01-30T03:51:46Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity
If this issue remains relevant, please comment here; otherwise it will be marked as closed automatically
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,114773593
https://github.com/pydata/xarray/issues/644#issuecomment-155698426,https://api.github.com/repos/pydata/xarray/issues/644,155698426,MDEyOklzc3VlQ29tbWVudDE1NTY5ODQyNg==,13906519,2015-11-11T08:02:56Z,2015-11-11T08:02:56Z,NONE,"Ah, ok, cool.

Thanks for the pointers and getting back to me. Looking forward to any future xray improvements. It’s really becoming my goto to for netcdf stuff (in addition to cdo).

Christian

> On 11 Nov 2015, at 01:27, Stephan Hoyer notifications@github.com wrote:
> 
> This is tricky to put into .sel because that method currently works by only looking at coordinate labels, not at data values.
> 
> One way to fix this would be to unravel your two dimensions corresponding to latitude and longitude into a single ""lat_lon"" dimension. At this point, you could apply a sea mask, to produce a compressed lat_lon coordinate corresponding to only unmasked points. Now, it's relatively straightforward to imagine doing nearest neighbor lookups on this set of labels.
> 
> This later solution will require a few steps (all of which are on the ""to do"" list, but without any immediate timelines):
> 1. support for multi-level indexes in xray
> 2. support for ""unraveling"" multiple dimensions into 1-dimension
> 3. support for looking up nearest locations in multiple dimensions via some sort of spatial index (e.g., a KD tree)
> 
> —
> Reply to this email directly or view it on GitHub https://github.com/xray/xray/issues/644#issuecomment-155611625.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,114773593