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  • d-chambers · 3 ✖

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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
494986964 https://github.com/pydata/xarray/issues/1431#issuecomment-494986964 https://api.github.com/repos/pydata/xarray/issues/1431 MDEyOklzc3VlQ29tbWVudDQ5NDk4Njk2NA== d-chambers 11671536 2019-05-22T21:49:13Z 2019-05-22T21:49:13Z NONE

Yes, fixed the example. This seems to be fixed now, closing. Thanks again! 

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   inconsistent behavior in stack/unstack along one dimension 231838537
433117327 https://github.com/pydata/xarray/issues/2508#issuecomment-433117327 https://api.github.com/repos/pydata/xarray/issues/2508 MDEyOklzc3VlQ29tbWVudDQzMzExNzMyNw== d-chambers 11671536 2018-10-25T16:25:39Z 2018-10-25T16:25:39Z NONE

@shoyer , Good to know. Is there a reason not to automatically wrap the ufunc with a function to return the correct type so that grouby.apply still works as expected with generic ufuncs? I haven't thought through this extensively but it seems like the behavior would be well-defined, and, at least in my case, what the user would expect to happen. 

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   groupby fails on generic ndarray functions 373653203
305348405 https://github.com/pydata/xarray/issues/1436#issuecomment-305348405 https://api.github.com/repos/pydata/xarray/issues/1436 MDEyOklzc3VlQ29tbWVudDMwNTM0ODQwNQ== d-chambers 11671536 2017-05-31T23:39:43Z 2017-05-31T23:39:43Z NONE

I should point out It does work when I specify the dimension with a dict: python dar2 = dar.loc[{'Z': dar.Z > 1000}] assert np.all(dar2.Z > 1000) # doesn't raise

 
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   Wrong dimension referenced in boolean indexing with .loc 232726778

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