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- netCDF + lazy backend: Error when sel is used with slice, reverse arrange · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1118690026 | https://github.com/pydata/xarray/issues/6560#issuecomment-1118690026 | https://api.github.com/repos/pydata/xarray/issues/6560 | IC_kwDOAMm_X85Crdrq | dcherian 2448579 | 2022-05-05T15:21:22Z | 2022-05-05T15:21:40Z | MEMBER | OK it has to do with the lazy backend. Calling Though I still can't make a minimal example. The example below works fine.
|
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netCDF + lazy backend: Error when sel is used with slice, reverse arrange 1222609313 | |
| 1118682989 | https://github.com/pydata/xarray/issues/6560#issuecomment-1118682989 | https://api.github.com/repos/pydata/xarray/issues/6560 | IC_kwDOAMm_X85Crb9t | dcherian 2448579 | 2022-05-05T15:16:33Z | 2022-05-05T15:16:52Z | MEMBER | OK turns out my attempts at a minimal example didn't work. There's some bug here (on xarray main)
1. the size of @jesieleo here's how I tried to create a "minimal example" ``` python import xarray as xr import numpy as np ds = xr.Dataset( { "z": ( ("time", "isoBaricInhPa", "latitude", "longitude"), np.ones((1, 5, 721, 1440)), # use numpy.ones to create array of same shape. ) }, coords={"latitude": np.linspace(-90, 90, 721)}, ) ds.isel(isoBaricInhPa=1).z[:, ::10, :][:, ::-1, :] ``` Though this doesn't replicate it! |
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netCDF + lazy backend: Error when sel is used with slice, reverse arrange 1222609313 |
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