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  • concat result not correct for particular dataset · 3 ✖

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  • NONE · 3 ✖
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573042086 https://github.com/pydata/xarray/issues/3681#issuecomment-573042086 https://api.github.com/repos/pydata/xarray/issues/3681 MDEyOklzc3VlQ29tbWVudDU3MzA0MjA4Ng== lvankampenhout 7933853 2020-01-10T13:48:09Z 2020-01-10T13:49:24Z NONE

Unfortunately, join='override' raises an IndexError.

``` --------------------------------------------------------------------------- IndexError Traceback (most recent call last) <ipython-input-90-462267a327eb> in <module> ----> 1 ds6 = xr.concat((ds1,ds2), dim='time',join='override') ~/anaconda3/lib/python3.6/site-packages/xarray/core/concat.py in concat(objs, dim, data_vars, coords, compat, positions, fill_value, join) 131 "objects, got %s" % type(first_obj) 132 ) --> 133 return f(objs, dim, data_vars, coords, compat, positions, fill_value, join) 134 135 ~/anaconda3/lib/python3.6/site-packages/xarray/core/concat.py in _dataset_concat(datasets, dim, data_vars, coords, compat, positions, fill_value, join) 299 datasets = [ds.copy() for ds in datasets] 300 datasets = align( --> 301 *datasets, join=join, copy=False, exclude=[dim], fill_value=fill_value 302 ) 303 ~/anaconda3/lib/python3.6/site-packages/xarray/core/alignment.py in align(join, copy, indexes, exclude, fill_value, *objects) 269 270 if join == "override": --> 271 objects = _override_indexes(objects, all_indexes, exclude) 272 273 # We don't reindex over dimensions with all equal indexes for two reasons: ~/anaconda3/lib/python3.6/site-packages/xarray/core/alignment.py in _override_indexes(objects, all_indexes, exclude) 53 for dim in obj.dims: 54 if dim not in exclude: ---> 55 new_indexes[dim] = all_indexes[dim][0] 56 objects[idx + 1] = obj._overwrite_indexes(new_indexes) 57 IndexError: list index out of range ``` 
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   concat result not correct for particular dataset 548029687
573040403 https://github.com/pydata/xarray/issues/3681#issuecomment-573040403 https://api.github.com/repos/pydata/xarray/issues/3681 MDEyOklzc3VlQ29tbWVudDU3MzA0MDQwMw== lvankampenhout 7933853 2020-01-10T13:43:41Z 2020-01-10T13:44:15Z NONE

Thanks Tom. This indeed gives a dataset with the correct dimensions but there is missing data

I've also tried join='override' but this raises an IndexError. 

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   concat result not correct for particular dataset 548029687
573026476 https://github.com/pydata/xarray/issues/3681#issuecomment-573026476 https://api.github.com/repos/pydata/xarray/issues/3681 MDEyOklzc3VlQ29tbWVudDU3MzAyNjQ3Ng== lvankampenhout 7933853 2020-01-10T13:01:46Z 2020-01-10T13:01:46Z NONE

good point,np.array_equal(ds1.lat , ds2.lat) yields False whereas np.allclose() reported True.

How to use compat='override' in this case? I tried ds3 = xr.concat((ds1,ds2), dim='time',compat='override',coords='minimal') But this didn't work. 

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   concat result not correct for particular dataset 548029687

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