html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/6976#issuecomment-1235556683,https://api.github.com/repos/pydata/xarray/issues/6976,1235556683,IC_kwDOAMm_X85JpRlL,12818667,2022-09-02T14:13:27Z,2022-09-02T14:13:27Z,NONE,"I am happy to close this; it would be lovely if the documentation was more
explicit about this issue. I was certainly surprised even after a close
reading of the docs.
Jamie
On Fri, Sep 2, 2022 at 10:07 AM Mathias Hauser ***@***.***>
wrote:
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> Jup, that's always the tradeoff - #1613
> discusses a similar case.
>
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","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1358960570
https://github.com/pydata/xarray/issues/6976#issuecomment-1235549943,https://api.github.com/repos/pydata/xarray/issues/6976,1235549943,IC_kwDOAMm_X85JpP73,10194086,2022-09-02T14:06:54Z,2022-09-02T14:06:54Z,MEMBER,"Jup, that's always the tradeoff - #1613 discusses a similar case.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1358960570
https://github.com/pydata/xarray/issues/6976#issuecomment-1235533796,https://api.github.com/repos/pydata/xarray/issues/6976,1235533796,IC_kwDOAMm_X85JpL_k,4160723,2022-09-02T13:53:15Z,2022-09-02T13:53:15Z,MEMBER,"Xarray passes the label indexers to the underlying pandas index:
```python
import pandas as pd
# ""x"" coordinate index
idx = pd.Index([2, 1, 0, 3, 5])
# da.sel(x=slice(2, 3)) does this:
idx.slice_indexer(2, 3)
# which returns slice(0, 4, None)
# da.sel(x=[2, 3]) does this:
idx.get_indexer([2, 3])
# which returns array([0, 3])
```
> What might be possible is to warn if selecting with a slice and the index is not monotonic increasing or decreasing.
Is it always desirable? Asked differently, are there cases where one intentionally wants to select with a slice a non monotonic index? If yes, a warning might be annoying.
Maybe this could be clarified in the docs too?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1358960570
https://github.com/pydata/xarray/issues/6976#issuecomment-1234465676,https://api.github.com/repos/pydata/xarray/issues/6976,1234465676,IC_kwDOAMm_X85JlHOM,12818667,2022-09-01T15:47:43Z,2022-09-01T15:47:43Z,NONE,So is this an expected behavior? I can work around it by explicitly creating the indices with arange() or the like. I do wonder if this is what is causing to_zarr() to fail even with compute=False? But I can work around that. ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1358960570
https://github.com/pydata/xarray/issues/6976#issuecomment-1234453085,https://api.github.com/repos/pydata/xarray/issues/6976,1234453085,IC_kwDOAMm_X85JlEJd,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:
```
array([0, 1, 2, 3])
Coordinates:
* x (x) int64 2 4 5 3
```
```python
da.sel(x=[2, 3])
```
Returns
```
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.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1358960570