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/475#issuecomment-354795052,https://api.github.com/repos/pydata/xarray/issues/475,354795052,MDEyOklzc3VlQ29tbWVudDM1NDc5NTA1Mg==,1197350,2018-01-02T15:43:45Z,2018-01-02T15:43:45Z,MEMBER,"Subscribers to this thread will probably be interested in @JiaweiZhuang's recent progress on xESMF. That package is now a viable solution for 2D regridding of xarray datasets.
https://github.com/JiaweiZhuang/xESMF","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,95114700
https://github.com/pydata/xarray/issues/475#issuecomment-121794912,https://api.github.com/repos/pydata/xarray/issues/475,121794912,MDEyOklzc3VlQ29tbWVudDEyMTc5NDkxMg==,1197350,2015-07-16T01:15:25Z,2015-07-16T01:15:25Z,MEMBER,"Maybe this is off topic, but are the plans to support more general spatial resampling / regridding? Like if I have two DataArrays a and b with different spatial coords, it would be great to be able to do

``` python
c = a.regrid_like(b)
```

This is a pretty common practice in climate science, since different datasets are provided on different grids with different resolutions.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,95114700
https://github.com/pydata/xarray/issues/475#issuecomment-121794360,https://api.github.com/repos/pydata/xarray/issues/475,121794360,MDEyOklzc3VlQ29tbWVudDEyMTc5NDM2MA==,1197350,2015-07-16T01:09:12Z,2015-07-16T01:09:12Z,MEMBER,"There is a great kdtree-based geospatial resampling package you might want to consider building on:
https://github.com/pytroll/pyresample
It is fast (multithreaded) and has support for different map projections.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,95114700