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  • mathause · 2 ✖

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  • dataset.sel inconsistent results when argument is a list or a slice. · 2 ✖

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  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1235549943 https://github.com/pydata/xarray/issues/6976#issuecomment-1235549943 https://api.github.com/repos/pydata/xarray/issues/6976 IC_kwDOAMm_X85JpP73 mathause 10194086 2022-09-02T14:06:54Z 2022-09-02T14:06:54Z MEMBER

Jup, that's always the tradeoff - #1613 discusses a similar case.

 
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   dataset.sel inconsistent results when argument is a list or a slice. 1358960570
1234453085 https://github.com/pydata/xarray/issues/6976#issuecomment-1234453085 https://api.github.com/repos/pydata/xarray/issues/6976 IC_kwDOAMm_X85JlEJd mathause 10194086 2022-09-01T15:37:25Z 2022-09-01T15:37:25Z MEMBER

A smaller repro:

```python import numpy as np import xarray as xr

xr.DataArray(np.arange(5), dims="x", coords={"x": [2, 1, 0, 3, 5]})

da.sel(x=slice(2, 3))

```

Returns: <xarray.DataArray (x: 4)> array([0, 1, 2, 3]) Coordinates: * x (x) int64 2 4 5 3

python da.sel(x=[2, 3]) Returns <xarray.DataArray (x: 2)> array([0, 3]) Coordinates: * x (x) int64 2 3

Yes, good point. What might be possible is to warn if selecting with a slice and the index is not monotonic increasing or decreasing.

 
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   dataset.sel inconsistent results when argument is a list or a slice. 1358960570

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