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  • swap dimensions with multi-dimensional coordinates · 1 ✖

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  • CONTRIBUTOR · 1 ✖
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530242012 https://github.com/pydata/xarray/issues/3299#issuecomment-530242012 https://api.github.com/repos/pydata/xarray/issues/3299 MDEyOklzc3VlQ29tbWVudDUzMDI0MjAxMg== jthielen 3460034 2019-09-11T06:32:44Z 2019-09-11T20:47:29Z CONTRIBUTOR

Based on your input and expected result, I would guess that you are looking to regrid your data from the x/y curvilinear grid of your GRIB weather data to a new rectilinear (lon/lat) grid?

If so, I would suggest using xESMF (example here), since xarray itself does not appear to support this type of interpolation yet. As an example, given the dimension names you currently have and expect in the output, your code could look something like the following:

```python import xesmf as xe

...load data...

ds_xy_grid = ds_xy_grid.rename(latitude='lat', longitude='lon') ds_out = xr.Dataset({'lat': (['lat'], np.linspace(44.77, 56.14, 421)), 'lon': (['lon'], np.linspace(2.976, 19.84, 461)}) regridder = xe.Regridder(ds_xy_grid, ds_out, 'bilinear') ds_lonlat_grid = regridder(ds_xy_grid) ds_lonlat_grid = ds_lonlat_grid.rename(lat='latitude', lon='longitude') ```

(updated as per comment below)

 
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   swap dimensions with multi-dimensional coordinates 491719758

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