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- Provide a "shrink" command to remove bounding nan/ whitespace of DataArray · 4 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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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) |
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Provide a "shrink" command to remove bounding nan/ whitespace of DataArray 650549352 | |
653731489 | https://github.com/pydata/xarray/issues/4197#issuecomment-653731489 | https://api.github.com/repos/pydata/xarray/issues/4197 | MDEyOklzc3VlQ29tbWVudDY1MzczMTQ4OQ== | shoyer 1217238 | 2020-07-04T07:04:51Z | 2020-07-04T07:04:51Z | MEMBER | Another way to write this currently would be with |
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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 @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 | |
653578137 | https://github.com/pydata/xarray/issues/4197#issuecomment-653578137 | https://api.github.com/repos/pydata/xarray/issues/4197 | MDEyOklzc3VlQ29tbWVudDY1MzU3ODEzNw== | keewis 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? |
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Provide a "shrink" command to remove bounding nan/ whitespace of DataArray 650549352 |
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