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/6323#issuecomment-1497455189,https://api.github.com/repos/pydata/xarray/issues/6323,1497455189,IC_kwDOAMm_X85ZQVpV,15570875,2023-04-05T13:06:12Z,2023-04-05T13:06:12Z,NONE,"In a future where `encoding` has been removed from Xarray's data model entirely, would `open_dataset_with_encoding`, or whatever name gets settled on, still exist? It's not clear to me if removal from the data model means just removing it from Xarray's data structures, or if it also means removing it from Xarray's APIs.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1158378382
https://github.com/pydata/xarray/issues/6323#issuecomment-1496845498,https://api.github.com/repos/pydata/xarray/issues/6323,1496845498,IC_kwDOAMm_X85ZOAy6,15570875,2023-04-05T02:46:02Z,2023-04-05T02:46:02Z,NONE,"In the hypothetical invocation `open_dataset(..., return_encoding=True)`, do you envision the returned encoding as being a separate returned object, or would it still be an attribute on the Dataset object?
I'm guessing the latter, because the subsequent statement 'disable all encoding propagation by discarding encoding attributes once a Dataset has been modified' doesn't make much sense to me for the former.
If so, after encoding attributes are discarded, would there still be an encoding attribute on the Dataset object that the user could reset to the values prior to the Dataset modification? This would enable the user to propagate encoding values through their workflow.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1158378382
https://github.com/pydata/xarray/pull/4409#issuecomment-691146816,https://api.github.com/repos/pydata/xarray/issues/4409,691146816,MDEyOklzc3VlQ29tbWVudDY5MTE0NjgxNg==,15570875,2020-09-11T15:00:01Z,2020-09-11T15:00:01Z,NONE,"I disagree that this is deterministic. If I run the script multiple times, the plot title varies, and I consider the plot title part of the output.
I have jupyter notebooks that create figures and use this code idiom. If I refactor code of mine that is used by these notebooks, I would like to rerun the notebooks to confirm that the notebook results don't change. Having the plot titles change at random complicates this comparison.
I think sorting the coordinates would avoid this difficulty that I encounter.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,694448177
https://github.com/pydata/xarray/pull/4409#issuecomment-691120654,https://api.github.com/repos/pydata/xarray/issues/4409,691120654,MDEyOklzc3VlQ29tbWVudDY5MTEyMDY1NA==,15570875,2020-09-11T14:15:42Z,2020-09-11T14:15:42Z,NONE,"Here's another example that yields non-deterministic coordinate order, which propagates into a plot title when selection is done on the coordinates. When I run the code below, the title is sometimes `x = 0.0, y = 0.0` and sometimes `y = 0.0, x = 0.0`.
This is in a new conda environment that I created using the command `conda create -n title_order python=3.7 matplotlib xarray`. Output from `xr.show_versions()` is below.
I think the non-determinism is coming from the command `ds_subset = ds[['var']]`.
```
import numpy as np
import xarray as xr
xlen = 3
ylen = 4
zlen = 5
x = xr.DataArray(np.linspace(0.0, 1.0, xlen), dims=('x'))
y = xr.DataArray(np.linspace(0.0, 1.0, ylen), dims=('y'))
z = xr.DataArray(np.linspace(0.0, 1.0, zlen), dims=('z'))
vals = np.arange(xlen*ylen*zlen, dtype='float64').reshape((xlen, ylen, zlen))
da = xr.DataArray(vals, dims=('x', 'y', 'z'), coords={'x': x, 'y': y, 'z': z})
ds = xr.Dataset({'var': da})
print('coords for var in original Dataset')
print(ds['var'].coords)
print('**********')
ds_subset = ds[['var']]
print('coords for var after subsetting')
print(ds_subset['var'].coords)
print('**********')
p = ds_subset['var'].isel(x=0,y=0).plot()
print('title for plot() with dim selection')
print(p[0].axes.get_title())
```
Output of xr.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 3.7.8 | packaged by conda-forge | (default, Jul 31 2020, 02:25:08)
[GCC 7.5.0]
python-bits: 64
OS: Linux
OS-release: 3.10.0-1127.13.1.el7.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
libhdf5: None
libnetcdf: None
xarray: 0.16.0
pandas: 1.1.2
numpy: 1.19.1
scipy: None
netCDF4: None
pydap: None
h5netcdf: None
h5py: None
Nio: None
zarr: None
cftime: None
nc_time_axis: None
PseudoNetCDF: None
rasterio: None
cfgrib: None
iris: None
bottleneck: None
dask: None
distributed: None
matplotlib: 3.3.1
cartopy: None
seaborn: None
numbagg: None
pint: None
setuptools: 49.6.0.post20200814
pip: 20.2.3
conda: None
pytest: None
IPython: None
sphinx: None