issue_comments: 1463138999

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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
https://github.com/pydata/xarray/issues/1635#issuecomment-1463138999 https://api.github.com/repos/pydata/xarray/issues/1635 1463138999 IC_kwDOAMm_X85XNbq3 79179784 2023-03-10T02:31:27Z 2023-03-10T02:31:27Z NONE

I agree that at least the index should show the reflect the order of the ranking found using argsort.

```python

import xarray as xr import numpy as np

np.random.rand(10)

ds = xr.DataArray(np.random.rand(10) )

ds.argsort().dim_0 ```

returns array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

however it should return an array with the order of the elements ranked using argsort e.g.

array([3, 8, 5, 1, 7, 2, 9, 4, 6, 0])

Where ds[3] is the smallest value in ds and ds[0] is the biggest etc.

The current behaviour is confusing / nonsenical. Return the index unchanged implies that the initial array is already ordered.

```

INSTALLED VERSIONS

commit: None python: 3.10.9 | packaged by conda-forge | (main, Feb 2 2023, 20:20:04) [GCC 11.3.0] python-bits: 64 OS: Linux OS-release: 4.18.0-425.3.1.el8.nci.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: None LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.2 libnetcdf: 4.8.1

xarray: 2023.2.0 pandas: 1.5.3 numpy: 1.23.5 scipy: 1.9.3 netCDF4: 1.6.0 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.6.2 nc_time_axis: None PseudoNetCDF: None rasterio: 1.3.4 cfgrib: None iris: 3.3.1 bottleneck: None dask: 2022.11.0 distributed: 2022.11.0 matplotlib: 3.4.3 cartopy: 0.21.1 seaborn: None numbagg: None fsspec: 2022.11.0 cupy: None pint: None sparse: 0.13.0 flox: None numpy_groupies: None setuptools: 65.5.1 pip: 23.0.1 conda: None pytest: None mypy: None IPython: 8.6.0 sphinx: None

```

 
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