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  • dcherian · 2 ✖

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  • Combining tiled data sets in xarray · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
673147952 https://github.com/pydata/xarray/issues/4338#issuecomment-673147952 https://api.github.com/repos/pydata/xarray/issues/4338 MDEyOklzc3VlQ29tbWVudDY3MzE0Nzk1Mg== dcherian 2448579 2020-08-12T22:50:33Z 2020-08-12T22:50:33Z MEMBER

no worries. I'll close this as a duplicate.

 
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   Combining tiled data sets in xarray 677773328
672959944 https://github.com/pydata/xarray/issues/4338#issuecomment-672959944 https://api.github.com/repos/pydata/xarray/issues/4338 MDEyOklzc3VlQ29tbWVudDY3Mjk1OTk0NA== dcherian 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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   Combining tiled data sets in xarray 677773328

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