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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
654150730 MDU6SXNzdWU2NTQxNTA3MzA= 4213 Xarray combine_by_coords return the monotonic global index error hamiddashti 5567953 closed 0     10 2020-07-09T15:26:42Z 2023-03-03T07:07:31Z 2023-03-03T07:07:31Z NONE      

I asked this question on Stackoverflow and someone mentioned it might be a bug.

I am trying to combine two spatial xarray datasets using combine_by_coords. These two datasets are two tiles next to each other. So there are overlapping coordinates. In the overlapping regions, the variable values of one of the datasets is nan.

I used the "combine_by_coords" with compat='no_conflicts' option. However, it returns the monotonic global indexes along dimension y error. It looks like it was an issue before but it was fixed (issue 3150). So I don't really know why I get this error. Here is an example (the netcdf tiles are here): ``` import xarray as xr

print(xr.version)

0.15.1

ds1=xr.open_dataset('Tile1.nc') ds2=xr.open_dataset('Tile2.nc') ds = xr.combine_by_coords([ds1,ds2], compat='no_conflicts')

... ValueError: Resulting object does not have monotonic global indexes along dimension y ```

 
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   completed xarray 13221727 issue

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