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/3252#issuecomment-583083189,https://api.github.com/repos/pydata/xarray/issues/3252,583083189,MDEyOklzc3VlQ29tbWVudDU4MzA4MzE4OQ==,81219,2020-02-06T19:59:29Z,2020-02-06T21:21:26Z,CONTRIBUTOR,"@shoyer I'm having trouble wrapping my head around this. The example above is essentially a 1D interpolation over `y`, a coordinate selection over `x`, and a broadcast over `z`. I don't think it should interpolate over x, right ? 
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,484622545
https://github.com/pydata/xarray/issues/3252#issuecomment-582945608,https://api.github.com/repos/pydata/xarray/issues/3252,582945608,MDEyOklzc3VlQ29tbWVudDU4Mjk0NTYwOA==,81219,2020-02-06T15:00:57Z,2020-02-06T15:00:57Z,CONTRIBUTOR,"Just got bit by this as well. Computing monthly quantile correction factors, so I have an array with dimensions (month, quantile, lon, lat). I then want to apply these correction factors to a time series (time, lon, lat), so I compute the month and quantile of my time series, and want to `interp` into the quantile correction factors. This doesn't work because both the factors and the time series have (lat, lon) dimensions. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,484622545