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  • RichardScottOZ · 8 ✖

issue 1

  • xarray / vtk integration · 8 ✖

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  • CONTRIBUTOR 8
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1086610757 https://github.com/pydata/xarray/issues/4470#issuecomment-1086610757 https://api.github.com/repos/pydata/xarray/issues/4470 IC_kwDOAMm_X85AxF1F RichardScottOZ 72196131 2022-04-02T10:30:44Z 2022-04-02T10:30:44Z CONTRIBUTOR

Just have to find some time to start.

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  xarray / vtk integration 710357592
1078791368 https://github.com/pydata/xarray/issues/4470#issuecomment-1078791368 https://api.github.com/repos/pydata/xarray/issues/4470 IC_kwDOAMm_X85ATQzI RichardScottOZ 72196131 2022-03-25T08:49:19Z 2022-03-25T08:49:19Z CONTRIBUTOR

Ok, so a discussion:-

https://github.com/pyvista/pyvista/discussions/2375

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  xarray / vtk integration 710357592
1069596655 https://github.com/pydata/xarray/issues/4470#issuecomment-1069596655 https://api.github.com/repos/pydata/xarray/issues/4470 IC_kwDOAMm_X84_wL_v RichardScottOZ 72196131 2022-03-16T20:31:38Z 2022-03-16T20:31:38Z CONTRIBUTOR

e.g. for a Uniform Grid

python data = result['density'].reshape(result.dimensions[2],result.dimensions[1],result.dimensions[0]) XC = [result.bounds[0]+200*i for i in range(result.dimensions[0])] YC = [result.bounds[2]+200*i for i in range(result.dimensions[1])] ZC = [result.bounds[4]+200*i for i in range(result.dimensions[2])] da = xr.DataArray(data=data, dims=["z", "y","x"], coords={"z": ZC, "y": YC, "x": XC})

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  xarray / vtk integration 710357592
1068478794 https://github.com/pydata/xarray/issues/4470#issuecomment-1068478794 https://api.github.com/repos/pydata/xarray/issues/4470 IC_kwDOAMm_X84_r7FK RichardScottOZ 72196131 2022-03-15T21:13:29Z 2022-03-15T21:13:29Z CONTRIBUTOR

So reversing that would require storing the metadata etc. and whatever the meshgrid reversal is?

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  xarray / vtk integration 710357592
1068462054 https://github.com/pydata/xarray/issues/4470#issuecomment-1068462054 https://api.github.com/repos/pydata/xarray/issues/4470 IC_kwDOAMm_X84_r2_m RichardScottOZ 72196131 2022-03-15T20:52:10Z 2022-03-15T20:52:10Z CONTRIBUTOR

I use this sort of thing a lot, anyway. https://banesullivan.com/pyvista/examples/raster.html#sphx-glr-pyvista-examples-raster-py

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  xarray / vtk integration 710357592
1068439766 https://github.com/pydata/xarray/issues/4470#issuecomment-1068439766 https://api.github.com/repos/pydata/xarray/issues/4470 IC_kwDOAMm_X84_rxjW RichardScottOZ 72196131 2022-03-15T20:30:49Z 2022-03-15T20:30:49Z CONTRIBUTOR

Yes, that sounds good. Definitely be useful to put this in some workflows.

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1067899770 https://github.com/pydata/xarray/issues/4470#issuecomment-1067899770 https://api.github.com/repos/pydata/xarray/issues/4470 IC_kwDOAMm_X84_ptt6 RichardScottOZ 72196131 2022-03-15T11:52:52Z 2022-03-15T11:52:52Z CONTRIBUTOR

And again mesh to data array and back, by variety?

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940952442 https://github.com/pydata/xarray/issues/4470#issuecomment-940952442 https://api.github.com/repos/pydata/xarray/issues/4470 IC_kwDOAMm_X844Fct6 RichardScottOZ 72196131 2021-10-12T12:09:42Z 2021-10-12T12:09:42Z CONTRIBUTOR

Ryan what would you start with? I had a use case this week.

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  xarray / vtk integration 710357592

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