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  • keewis · 1 ✖

issue 1

  • Self joins with non-unique indexes · 1 ✖

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  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
604537050 https://github.com/pydata/xarray/issues/3791#issuecomment-604537050 https://api.github.com/repos/pydata/xarray/issues/3791 MDEyOklzc3VlQ29tbWVudDYwNDUzNzA1MA== keewis 14808389 2020-03-26T16:39:38Z 2020-03-26T16:39:38Z MEMBER

The only way I could come up with is: python In [2]: a = xr.DataArray( ...: name="sample_id", ...: data=[1, 2, 3], ...: dims="population_name", ...: coords={"population_name": ["AFR", "EUR", "EUR"]}, ...: ) ...: b = xr.DataArray( ...: name="population_size", ...: data=[10, 100], ...: dims="population_name", ...: coords={"population_name": ["AFR", "EUR"]}, ...: ) ...: a.to_dataset().assign({b.name: b.sel(population_name=a.population_name)}) Out[2]: <xarray.Dataset> Dimensions: (population_name: 3) Coordinates: * population_name (population_name) <U3 'AFR' 'EUR' 'EUR' Data variables: sample_id (population_name) int64 1 2 3 population_size (population_name) int64 10 100 100 which is a manual join?

 
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   Self joins with non-unique indexes 569176457

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   [id] INTEGER PRIMARY KEY,
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