issue_comments: 1118690026

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https://github.com/pydata/xarray/issues/6560#issuecomment-1118690026 https://api.github.com/repos/pydata/xarray/issues/6560 1118690026 IC_kwDOAMm_X85Crdrq 2448579 2022-05-05T15:21:22Z 2022-05-05T15:21:40Z MEMBER

OK it has to do with the lazy backend. Calling data_example.load() fixes things. @jesieleo in the mean time, if your data is small use load_dataset or load to fix it.

Though I still can't make a minimal example. The example below works fine.

python 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') ds.isel(time=[0], isoBaricInhPa=1).z[:, ::10, :][:, ::-1, :]

 
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