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/4197#issuecomment-653752196,https://api.github.com/repos/pydata/xarray/issues/4197,653752196,MDEyOklzc3VlQ29tbWVudDY1Mzc1MjE5Ng==,6815844,2020-07-04T11:05:49Z,2020-07-04T11:05:49Z,MEMBER,"@cwerner 
```python
In [40]: idx = (da.count('y').cumsum() != 0) * (da.count('y')[::-1].cumsum()[::-
    ...: 1] != 0)                                                               

In [42]: da.isel(x=idx)                                                         
Out[42]: 
<xarray.DataArray (x: 3, y: 4)>
array([[nan,  0.,  2., nan],
       [nan, nan, nan, nan],
       [nan,  2.,  0., nan]])
Dimensions without coordinates: x, y
```
Maybe this works, but I have no cleaner solution.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,650549352
https://github.com/pydata/xarray/issues/4197#issuecomment-653731489,https://api.github.com/repos/pydata/xarray/issues/4197,653731489,MDEyOklzc3VlQ29tbWVudDY1MzczMTQ4OQ==,1217238,2020-07-04T07:04:51Z,2020-07-04T07:04:51Z,MEMBER,"Another way to write this currently would be with `where`: `array.where(array.notnull(), drop=True)`","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,650549352
https://github.com/pydata/xarray/issues/4197#issuecomment-653729887,https://api.github.com/repos/pydata/xarray/issues/4197,653729887,MDEyOklzc3VlQ29tbWVudDY1MzcyOTg4Nw==,6815844,2020-07-04T06:47:04Z,2020-07-04T06:47:04Z,MEMBER,"@keewis 
I think it is close to `da.dropna(how='all')`
```python
In [12]: da.dropna('x', how='all').dropna('y', how='all')                       
Out[12]: 
<xarray.DataArray (x: 2, y: 2)>
array([[0., 2.],
       [2., 0.]])
Dimensions without coordinates: x, y
```
I think supporting multiple dimensions for `dropna` is totally in our scope.
Currently, `dropna` only works with a single dimension and `da.dropna(how='all')` does not work.

@cwerner 
Is it close to your example?
If you don't want to drop all nans but only those located at the edges, the above example does not work.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,650549352
https://github.com/pydata/xarray/issues/4197#issuecomment-653578137,https://api.github.com/repos/pydata/xarray/issues/4197,653578137,MDEyOklzc3VlQ29tbWVudDY1MzU3ODEzNw==,14808389,2020-07-03T14:38:57Z,2020-07-03T14:41:16Z,MEMBER,"you should be able to emulate that using:
```python
In [2]: data = np.array([ 
   ...:     [np.nan, np.nan, np.nan, np.nan], 
   ...:     [np.nan, 0, 2, np.nan], 
   ...:     [np.nan, 2, 0, np.nan], 
   ...:     [np.nan, np.nan, np.nan, np.nan], 
   ...: ]) 
   ...: da = xr.DataArray(data, dims=(""x"", ""y""))

In [3]: def shrink(arr): 
   ...:     notnull = da.notnull() 
   ...:     indexers = { 
   ...:         dim: notnull.any(dim=set(da.dims) - set([dim])) 
   ...:         for dim in da.dims 
   ...:     } 
   ...:     return arr.sel(**indexers) 
   ...:

In [4]: da
Out[4]: 
<xarray.DataArray (x: 4, y: 4)>
array([[nan, nan, nan, nan],
       [nan,  0.,  2., nan],
       [nan,  2.,  0., nan],
       [nan, nan, nan, nan]])
Dimensions without coordinates: x, y

In [5]: shrink(da)
Out[5]: 
<xarray.DataArray (x: 2, y: 2)>
array([[0., 2.],
       [2., 0.]])
Dimensions without coordinates: x, y
```
@pydata/xarray: is this common enough to add it to the API?

","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,650549352