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  • Unstacking the diagonals of a sequence of matrices raises ValueError: IndexVariable objects must be 1-dimensional · 5 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1115251379 https://github.com/pydata/xarray/issues/6439#issuecomment-1115251379 https://api.github.com/repos/pydata/xarray/issues/6439 IC_kwDOAMm_X85CeWKz DWesl 22566757 2022-05-02T19:00:47Z 2022-05-02T19:05:19Z CONTRIBUTOR

Oh, right, you suggested that a bit ago.

When I checkout upstream/main in my local XArray repository root and run the example, it completes without error. When I fix the example to use the correct dimension, the implicit print on the last line shows the nearly the same as unstacked_diag from a few lines earlier.

Still not sure what fixed this, but since it's working, I don't care so much. I will wait for this to show up in a release. Thank you!

 
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   Unstacking the diagonals of a sequence of matrices raises ValueError: IndexVariable objects must be 1-dimensional 1192449540
1115232921 https://github.com/pydata/xarray/issues/6439#issuecomment-1115232921 https://api.github.com/repos/pydata/xarray/issues/6439 IC_kwDOAMm_X85CeRqZ benbovy 4160723 2022-05-02T18:39:09Z 2022-05-02T18:39:09Z MEMBER

@DWesl have you tried running your code with Xarray's main branch? If yes, could you confirm whether or not it yields the expected output? Thanks!

 
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   Unstacking the diagonals of a sequence of matrices raises ValueError: IndexVariable objects must be 1-dimensional 1192449540
1115127711 https://github.com/pydata/xarray/issues/6439#issuecomment-1115127711 https://api.github.com/repos/pydata/xarray/issues/6439 IC_kwDOAMm_X85Cd3-f DWesl 22566757 2022-05-02T17:04:13Z 2022-05-02T17:45:56Z CONTRIBUTOR

Just a tip: You don't need any stacking for that. Just use an indexer with a new dim:

I am aware that I can extract the diagonal of the arrays by using the same index for each argument of isel. That is, in fact, how I extracted the diagonals in each case above (look for diag_index to find the examples).

The bit that interests me is unstacking the relevant dimension, because the data in the original case comes to me with, effectively, a stacked dimension, and I would like to turn it back into an unstacked dimension because that is what I am used to using pcolormesh to plot.

That is to say, skipping the unstacking rather defeats the purpose of what I am trying to do, unless you have suggestions for how to create a two-dimensional plot (one using something like contourf or pcolormesh) of a one-dimensional Dataset, or a series of two-dimensional plots from a two-dimensional Dataset.

 
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   Unstacking the diagonals of a sequence of matrices raises ValueError: IndexVariable objects must be 1-dimensional 1192449540
1115118516 https://github.com/pydata/xarray/issues/6439#issuecomment-1115118516 https://api.github.com/repos/pydata/xarray/issues/6439 IC_kwDOAMm_X85Cd1u0 headtr1ck 43316012 2022-05-02T16:54:25Z 2022-05-02T16:54:25Z COLLABORATOR

Just a tip: You don't need any stacking for that. Just use an indexer with a new dim: python diag = xr.DataArray(np.arange(12), dims="diag") test.isel(dim0=diag, adj_dim0=diag) this should do the trick ;)

 
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   Unstacking the diagonals of a sequence of matrices raises ValueError: IndexVariable objects must be 1-dimensional 1192449540
1089182651 https://github.com/pydata/xarray/issues/6439#issuecomment-1089182651 https://api.github.com/repos/pydata/xarray/issues/6439 IC_kwDOAMm_X85A65u7 benbovy 4160723 2022-04-05T18:48:45Z 2022-04-05T18:48:45Z MEMBER

I tested your example with Xarray's main branch and it seems to work (at least there's no ValueError anymore). Maybe some side effect of the indexes refactor in #5692? I just run the example without inspecting the outputs so not sure if everything is right, though.

 
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   Unstacking the diagonals of a sequence of matrices raises ValueError: IndexVariable objects must be 1-dimensional 1192449540

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