issue_comments: 653748350
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| 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-653748350 | https://api.github.com/repos/pydata/xarray/issues/4197 | 653748350 | MDEyOklzc3VlQ29tbWVudDY1Mzc0ODM1MA== | 13906519 | 2020-07-04T10:20:56Z | 2020-07-04T10:37:29Z | NONE | @keewis @fujiisoup @shoyer thanks. this does indeed not work for my used case if there's a all-nan stretch between parts of the array (think UK and the channel and the northern coast of France) - I simply want to get rid of extra space around a geographic domain (i.e. the nan edges) ``` data = np.array([ [np.nan, np.nan, np.nan, np.nan], [np.nan, 0, 2, np.nan], [np.nan, np.nan, np.nan, np.nan], [np.nan, 2, 0, np.nan], [np.nan, np.nan, np.nan, np.nan], ]) da = xr.DataArray(data, dims=("x", "y")) this also results in a 2x2 array, but should be 3x2``` |
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650549352 |