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https://github.com/pydata/xarray/issues/1772#issuecomment-351594036 https://api.github.com/repos/pydata/xarray/issues/1772 351594036 MDEyOklzc3VlQ29tbWVudDM1MTU5NDAzNg== 6815844 2017-12-14T02:58:02Z 2017-12-14T02:58:02Z MEMBER

For the above example, I consider the following output,

python <xarray.Dataset> Dimensions: (nz_points: 11) Dimensions without coordinates: nz_points Data variables: x (nz_points) int64 0 0 1 1 1 2 2 2 3 3 3 y (nz_points) int64 1 2 0 1 2 0 1 2 0 1 2

It would return a xr.Dataset each keys of which are the dimension names and their values are xr.DataArray of valid indices. da[da.nonzero()] or da.isel(**da.nonzero()) would return a 1d-DataArray with non-dimensional coordinates, x and y. (nz_points is the default dimension, equivalent to da.nonzero(dim='nz_points'))

nonzero method for Dataset is not obvious, but the return of xr.DataArray.nonzero should be passed to xr.Dataset.isel().

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