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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
627356505 MDU6SXNzdWU2MjczNTY1MDU= 4110 Feature request: merge compat overlap 34353851 open 0     1 2020-05-29T15:36:29Z 2021-04-19T14:46:46Z   NONE      

xarray.merge should have an option compat overlap. is that option is combine_first, but it has more sense inside of merge. python import xarray as xr x1=xr.DataArray([1,2,3,4,11],dims=['time'],coords=[[4,5,6,7,3]]).to_dataset(name='fusionfria') x2=xr.DataArray([5,6,7,8],dims=['time'],coords=[[0,1,2,3]]).to_dataset(name='fusionfria') x1.combine_first(x2)

It could be useful to avoid the error in xarray.open_mfdataset, if the time index is overlapped between netcdf files.

ValueError: Resulting object does not have monotonic global indexes along dimension time

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