issue_comments: 672959944

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https://github.com/pydata/xarray/issues/4338#issuecomment-672959944 https://api.github.com/repos/pydata/xarray/issues/4338 672959944 MDEyOklzc3VlQ29tbWVudDY3Mjk1OTk0NA== 2448579 2020-08-12T15:55:24Z 2020-08-12T15:55:24Z MEMBER

Thanks for the well written issue @nicholaskgeorge

This is a duplicate of https://github.com/pydata/xarray/issues/3248 . The solution here is to make all tiles have the same name, use .to_dataset() and then pass that to combine_by_coords

In [9]: square1 = xr.DataArray(name="box", data=np.random.randint(5, size=(3, 2)), coords=[("x", [0,1,2]),('y',[0,1])]) ...: square2 = xr.DataArray(name="box", data=np.random.randint(5, size=(3, 2)), coords=[("x", [2,3,4]),('y',[0,1])]) ...: square3 = xr.DataArray(name="box", data=np.random.randint(5, size=(3, 2)), coords=[("x", [0,1,2]),('y',[2,3])]) ...: square4 = xr.DataArray(name="box", data=np.random.randint(5, size=(3, 2)), coords=[("x", [2,3,4]),('y',[2,3])]) ...: ...: combineddata = xr.combine_by_coords(sq.to_dataset() for sq in [square1,square2,square3,square4])

You can use combineddata.to_array() to convert back to a DataArray.

 
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