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/6560#issuecomment-1118866758,https://api.github.com/repos/pydata/xarray/issues/6560,1118866758,IC_kwDOAMm_X85CsI1G,5635139,2022-05-05T17:34:51Z,2022-05-05T17:34:51Z,MEMBER,@dcherian thanks a lot for looking into this. @jesieleo thanks for your patience in us finding the bug.,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1222609313
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, :]
```","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1222609313
https://github.com/pydata/xarray/issues/6560#issuecomment-1118682989,https://api.github.com/repos/pydata/xarray/issues/6560,1118682989,IC_kwDOAMm_X85Crb9t,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 `latitude` is different in `.sizes, .shape, .data.shape` and
2. latitude really should be 73 elements. I don't see why a subsetting happens when slicing with `::-`
![]()
-----
@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!
","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1222609313
https://github.com/pydata/xarray/issues/6560#issuecomment-1117678722,https://api.github.com/repos/pydata/xarray/issues/6560,1117678722,IC_kwDOAMm_X85CnmyC,5635139,2022-05-04T18:40:41Z,2022-05-04T18:40:41Z,MEMBER,"> But no, this is not sufficient — can you show your problem on an array like `xr.DataArray(np.arange(12).reshape(2,3,4))`, only adding extra as necessary? Please have another read of the links above showing how to minimize the examples.
Don't bundle data — build a new example from a basic array and demonstrate the bug.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1222609313
https://github.com/pydata/xarray/issues/6560#issuecomment-1116363332,https://api.github.com/repos/pydata/xarray/issues/6560,1116363332,IC_kwDOAMm_X85CilpE,5635139,2022-05-03T17:31:55Z,2022-05-03T17:31:55Z,MEMBER,What is `data3`? We need an example that I can paste into a blank notebook and will show the problem. ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1222609313
https://github.com/pydata/xarray/issues/6560#issuecomment-1115423953,https://api.github.com/repos/pydata/xarray/issues/6560,1115423953,IC_kwDOAMm_X85CfATR,5635139,2022-05-02T22:16:06Z,2022-05-02T22:16:06Z,MEMBER,"OK — I would like to make your experience GitHub a good one! It's a magical place.
> I have added a zip dile with a .ipynb file , don't know if it is ok?
But no, this is not sufficient — can you show your problem on an array like `xr.DataArray(np.arange(12).reshape(2,3,4))`, only adding extra as necessary? Please have another read of the links above showing how to minimize the examples.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1222609313
https://github.com/pydata/xarray/issues/6560#issuecomment-1114620018,https://api.github.com/repos/pydata/xarray/issues/6560,1114620018,IC_kwDOAMm_X85Cb8By,5635139,2022-05-02T08:32:25Z,2022-05-02T08:32:25Z,MEMBER,"@jesieleo — I'm probably being unclear, and I'm sure you're well-intentioned, but this & the previous issues aren't constructive for either of us so far.
In the politest possible way: please make an issue that is complete and ""copy & pastes into an IPython prompt or [Binder notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result."". You cannot reference data that is only on your computer. This will require work from your end to take the example you have there, and reduce it to the bare minimum.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1222609313