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  • fujiisoup · 2 ✖

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  • Provide a "shrink" command to remove bounding nan/ whitespace of DataArray · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
653752196 https://github.com/pydata/xarray/issues/4197#issuecomment-653752196 https://api.github.com/repos/pydata/xarray/issues/4197 MDEyOklzc3VlQ29tbWVudDY1Mzc1MjE5Ng== fujiisoup 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.

 
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   Provide a "shrink" command to remove bounding nan/ whitespace of DataArray 650549352
653729887 https://github.com/pydata/xarray/issues/4197#issuecomment-653729887 https://api.github.com/repos/pydata/xarray/issues/4197 MDEyOklzc3VlQ29tbWVudDY1MzcyOTg4Nw== fujiisoup 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.

 
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   Provide a "shrink" command to remove bounding nan/ whitespace of DataArray 650549352

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