issue_comments: 1431529928

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https://github.com/pydata/xarray/issues/7076#issuecomment-1431529928 https://api.github.com/repos/pydata/xarray/issues/7076 1431529928 IC_kwDOAMm_X85VU2nI 18679148 2023-02-15T15:15:23Z 2023-02-15T15:20:58Z NONE

Many thanks for the explanation and the rapid answer. I am not very familiar with multi-index.

My real problem works with a DataSet with different sort of variables:

ipdb> lmmap <xarray.Dataset> Dimensions: (x_variables: 4, Observables: 2, Antenna: 4, z: 4, Ambiguities: 4, fun_variables: 8, extrema: 2) Coordinates: * x_variables (x_variables) <U3 'u' 'v' 'c_u' 'c_v' * Observables (Observables) <U6 'sigma0' 'RVL' * Antenna (Antenna) <U4 'Fore' 'MidV' 'MidH' 'Aft' fun_variables (Observables, Antenna) int64 0 1 2 3 4 5 6 7 Dimensions without coordinates: z, Ambiguities, extrema Data variables: (12/17) x (z, Ambiguities, x_variables) float64 -4.503 7.8 ... -0.4265 active_mask (z, Ambiguities, x_variables) int64 0 0 0 0 0 0 ... 0 0 0 0 0 grad (z, Ambiguities, x_variables) float64 7.816e-11 ... -1.873... fun (z, Ambiguities, Observables, Antenna) float64 0.001137 ..... jac (z, Ambiguities, fun_variables, x_variables) float64 0.359... x0 (z, Ambiguities, x_variables) float64 -7.002 10.03 ... 1.219 ... ... message (z, Ambiguities) <U42 '`xtol` termination condition is sat... success (z, Ambiguities) bool True True True True ... True True True method (z) <U3 'trf' 'trf' 'trf' 'trf' xtol (z) float64 0.001 0.001 0.001 0.001 x_scale (z, x_variables) float64 7.0 7.0 0.5 0.5 ... 7.0 7.0 0.5 0.5 bounds (z, extrema, x_variables) int64 -30 -30 -5 -5 ... 30 30 5 5

I don't know where I should apply set_index(z=["across", "along"]) I tried on the full DataSet or a single DataArray but without success. I get the following error:

ValueError: across, along variable(s) do not exist

Which is obvious as across and along variables disappeared. Thank you, I will dig in this direction why it happens.

However, it works perfectly with the minimal example. Many thanks

 
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