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  • Wrong dimension referenced in boolean indexing with .loc · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
338069167 https://github.com/pydata/xarray/issues/1436#issuecomment-338069167 https://api.github.com/repos/pydata/xarray/issues/1436 MDEyOklzc3VlQ29tbWVudDMzODA2OTE2Nw== shoyer 1217238 2017-10-19T23:54:03Z 2017-10-19T23:54:03Z MEMBER

Fixed by #1639 

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   Wrong dimension referenced in boolean indexing with .loc 232726778
305349620 https://github.com/pydata/xarray/issues/1436#issuecomment-305349620 https://api.github.com/repos/pydata/xarray/issues/1436 MDEyOklzc3VlQ29tbWVudDMwNTM0OTYyMA== shoyer 1217238 2017-05-31T23:48:34Z 2017-05-31T23:48:34Z MEMBER

Xarray's indexing currently ignores dimension/index labels, which I agree is not ideal (and can lead to surprising behavior like this): https://github.com/pydata/xarray/issues/974

Another work-around is to use where, e.g., dar.where(dar.Z > 1000).

 
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   Wrong dimension referenced in boolean indexing with .loc 232726778
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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