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- Shoudn't `assert_allclose` transpose datasets? · 3 ✖
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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908433305 | https://github.com/pydata/xarray/issues/5733#issuecomment-908433305 | https://api.github.com/repos/pydata/xarray/issues/5733 | IC_kwDOAMm_X842JZeZ | dcherian 2448579 | 2021-08-30T15:20:29Z | 2021-08-30T15:20:29Z | MEMBER |
I don't think we can change this because it's very backwards incompatible and affects tests in downstream packages. But :+1: to adding a flag allowing users to opt out of dimension order checking. |
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Shoudn't `assert_allclose` transpose datasets? 977544678 | |
907901984 | https://github.com/pydata/xarray/issues/5733#issuecomment-907901984 | https://api.github.com/repos/pydata/xarray/issues/5733 | IC_kwDOAMm_X842HXwg | dcherian 2448579 | 2021-08-29T23:50:59Z | 2021-08-29T23:50:59Z | MEMBER | I have a related question ``` python import xarray as xr da = xr.DataArray([[1, 1, 1], [2, 2, 2]], dims=("x", "y")) xr.testing.assert_identical(da, da.transpose())
Strictly speaking, the values are different I guess. However I think this error would be clearer if it said that the dimension order was different but the values are equal once the dimensions are transposed. I.e. we could
Is this a good idea? |
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Shoudn't `assert_allclose` transpose datasets? 977544678 | |
904683190 | https://github.com/pydata/xarray/issues/5733#issuecomment-904683190 | https://api.github.com/repos/pydata/xarray/issues/5733 | IC_kwDOAMm_X8417F62 | dcherian 2448579 | 2021-08-24T14:16:45Z | 2021-08-24T14:16:45Z | MEMBER |
This sounds good to me. We should also have a |
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Shoudn't `assert_allclose` transpose datasets? 977544678 |
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