issue_comments: 803491262
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/4892#issuecomment-803491262 | https://api.github.com/repos/pydata/xarray/issues/4892 | 803491262 | MDEyOklzc3VlQ29tbWVudDgwMzQ5MTI2Mg== | 5635139 | 2021-03-21T00:35:57Z | 2021-03-21T00:35:57Z | MEMBER | It's a good issue! I would have thought And I recognize But here, I propose we prioritize the labels above the boolean indexing in ```python In [4]: test = xr.DataArray( ...: np.ones((3,2)), ...: dims=["ternary","binary"], ...: coords={"ternary":[3,7,9],"binary":[False,True]} ...: ) In [5]: test.sel(binary=[True,False]) Out[5]: <xarray.DataArray (ternary: 3, binary: 1)> array([[1.], [1.], [1.]]) Coordinates: * ternary (ternary) int64 3 7 9 * binary (binary) bool False In [6]: test.isel(binary=[True,False]) Out[6]: <xarray.DataArray (ternary: 3, binary: 1)> array([[1.], [1.], [1.]]) Coordinates: * ternary (ternary) int64 3 7 9 * binary (binary) bool False ``` I would also be OK removing the |
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