issue_comments: 1303038334

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https://github.com/pydata/xarray/issues/6560#issuecomment-1303038334 https://api.github.com/repos/pydata/xarray/issues/6560 1303038334 IC_kwDOAMm_X85Nqsl- 90036937 2022-11-04T06:42:18Z 2022-11-04T06:43:01Z NONE

First of all, thank you for your help @dcherian @max-sixty . I finally reproduced this problem. I put the ds.isel(time=[0], isoBaricInhPa=1).z[:, ::10, :][:, ::-1, :] to ds.isel(time=[0], isoBaricInhPa=1).z[:, ::10, ::10][:, ::-1, :] can make a minimal example.

``` import numpy as np import xarray as xr ds = xr.Dataset( { "z": ( ("time", "isoBaricInhPa", "latitude", "longitude"), np.ones((1, 5, 721, 1440)), ) }, coords={"latitude": np.linspace(-90, 90, 721)}, ).to_netcdf("test.nc") ds = xr.open_dataset('test.nc') a = ds.isel(time=[0], isoBaricInhPa=1).z[:, ::10, ::10][:, ::-1, :] print(a.sizes) print(a.shape) print(a)

Frozen({'time': 1, 'latitude': 73, 'longitude': 144}) (1, 73, 144) <xarray.DataArray 'z' (time: 1, latitude: 72, longitude: 144)> array([[[1., 1., ..., 1., 1.], [1., 1., ..., 1., 1.], ..., [1., 1., ..., 1., 1.], [1., 1., ..., 1., 1.]]]) Coordinates: * latitude (latitude) float64 90.0 87.5 85.0 82.5 ... -82.5 -85.0 -87.5 -90.0 Dimensions without coordinates: time, longitude ``` 

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