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  • Merge fails when sparse Dataset has overlapping dimension values · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
551359502 https://github.com/pydata/xarray/issues/3445#issuecomment-551359502 https://api.github.com/repos/pydata/xarray/issues/3445 MDEyOklzc3VlQ29tbWVudDU1MTM1OTUwMg== friedrichknuth 10554254 2019-11-08T02:41:13Z 2019-11-08T02:41:13Z NONE

@El-minadero from the sparse API page I'm seeing two methods for combining data:

```python import sparse import numpy as np

A = sparse.COO.from_numpy(np.array([[1, 2], [3, 4]])) B = sparse.COO.from_numpy(np.array([[5, 9], [6, 8]])) sparse.stack([A,B]).todense()

Out[1]: array([[[1, 2], [3, 4]], [[5, 9], [6, 8]]])

sparse.concatenate([A,B]).todense()

Out[2]: array([[1, 2], [3, 4], [5, 9], [6, 8]]) `` Since this is an issue withsparse` and merging data doesn't seem to be supported at this time, you might consider closing this issue out here and raising it over at sparse.

 
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   Merge fails when sparse Dataset has overlapping dimension values 512205079
550516745 https://github.com/pydata/xarray/issues/3445#issuecomment-550516745 https://api.github.com/repos/pydata/xarray/issues/3445 MDEyOklzc3VlQ29tbWVudDU1MDUxNjc0NQ== friedrichknuth 10554254 2019-11-06T21:51:31Z 2019-11-06T21:51:31Z NONE

Note that dataset1 = xr.concat([data_array1,data_array2],dim='source') or dim='receiver' seem to work, however, concat also fails if time is specified as the dimension.

 
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   Merge fails when sparse Dataset has overlapping dimension values 512205079

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