issues: 1222609313

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1222609313 I_kwDOAMm_X85I34mh 6560 netCDF + lazy backend: Error when sel is used with slice, reverse arrange 90036937 closed 0     12 2022-05-02T08:13:04Z 2023-03-27T21:05:53Z 2023-03-27T21:05:53Z NONE      

What happened?

``` import xarray as xr data = xr.open_dataset('data_example.nc')

wrong

a = data.sel(time='1979-1',isobaricInhPa=200).z[:, ::10,::10][:, ::-1,:] ``` It seem that when use sel() , [: , ::-1 , :] and [: , ::10 , ::10] at the same time will cause the second coord will wrong like this. Why just when use sel and[: , ::10 , ::10][: , ::-1 , :] ,it will goes wrong in axis=2( the data DO NOT correspond to the coordinates) ?

What did you expect to happen?

The data correspond to the coordinates on Latitude.

Minimal Complete Verifiable Example

problem_example.zip

MVCE confirmation

  • [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [x] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [X] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [x] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

No response

Environment

INSTALLED VERSIONS ------------------ commit: None python: 3.8.12 (default, Oct 12 2021, 03:01:40) [MSC v.1916 64 bit (AMD64)] python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: AMD64 Family 25 Mod el 33 Stepping 0, AuthenticAMD byteorder: little LC_ALL: None LANG: en LOCALE: ('Chinese (Simplified)_China', '936') libhdf5: 1.12.1 libnetcdf: 4.8.1 xarray: 2022.3.0 pandas: 1.4.2 numpy: 1.22.3 scipy: 1.7.3 netCDF4: 1.5.7 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.6.0 nc_time_axis: None PseudoNetCDF: None rasterio: 1.2.10 cfgrib: 0.9.10.1 iris: None bottleneck: None dask: None distributed: None matplotlib: 3.5.1 cartopy: 0.20.2 seaborn: None numbagg: None fsspec: None cupy: None pint: None sparse: None setuptools: 56.0.0 pip: 22.0.4 conda: None pytest: None IPython: 8.3.0 sphinx: 4.5.0 
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   completed 13221727 issue

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