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/4066#issuecomment-629384825,https://api.github.com/repos/pydata/xarray/issues/4066,629384825,MDEyOklzc3VlQ29tbWVudDYyOTM4NDgyNQ==,15331990,2020-05-15T17:28:09Z,2020-05-15T17:28:09Z,CONTRIBUTOR,Neat solution! Thanks!,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,619089111
https://github.com/pydata/xarray/issues/4066#issuecomment-629362404,https://api.github.com/repos/pydata/xarray/issues/4066,629362404,MDEyOklzc3VlQ29tbWVudDYyOTM2MjQwNA==,14808389,2020-05-15T16:42:20Z,2020-05-15T16:42:39Z,MEMBER,"you should be able to drop the excluded dimension:
```python
In [25]: ds2 = xr.Dataset( 
    ...:     coords={ 
    ...:         ""lon"": np.linspace(0, 360, 36), 
    ...:         ""lat"": np.linspace(-90, 90, 18), 
    ...:         ""time"": xr.cftime_range(""2014-01-01"", ""2014-01-10""),
    ...:     } 
    ...: )

In [26]: ds = xr.tutorial.open_dataset(""air_temperature"")

In [27]: ds.interp_like(ds2.drop_dims(""time""))
Out[27]: 
<xarray.Dataset>
Dimensions:  (lat: 18, lon: 36, time: 2920)
Coordinates:
  * time     (time) datetime64[ns] 2013-01-01 ... 2014-12-31T18:00:00
  * lon      (lon) float64 0.0 10.29 20.57 30.86 ... 329.1 339.4 349.7 360.0
  * lat      (lat) float64 -90.0 -79.41 -68.82 -58.24 ... 58.24 68.82 79.41 90.0
Data variables:
    air      (time, lat, lon) float64 nan nan nan nan nan ... nan nan nan nan
Attributes:
    Conventions:  COARDS
    title:        4x daily NMC reanalysis (1948)
    description:  Data is from NMC initialized reanalysis\n(4x/day).  These a...
    platform:     Model
    references:   http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanaly...
```","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 1, ""rocket"": 0, ""eyes"": 0}",,619089111