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/7423#issuecomment-1453707146,https://api.github.com/repos/pydata/xarray/issues/7423,1453707146,IC_kwDOAMm_X85Wpc-K,3383837,2023-03-03T15:33:27Z,2023-03-03T15:33:27Z,CONTRIBUTOR,"Would you consider xarray itself to be ""numpy-adjacent""? If XArray fully adopted (i don't know how!) the NetCDF4 `_FillValue` attribute, this and some other challenges, could be solved rigorously.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1521368478
https://github.com/pydata/xarray/issues/6715#issuecomment-1424713396,https://api.github.com/repos/pydata/xarray/issues/6715,1424713396,IC_kwDOAMm_X85U62a0,3383837,2023-02-09T19:38:17Z,2023-02-09T19:38:17Z,CONTRIBUTOR,@ShengpeiWang Has the right preventative solution. What do you do when you mess this up in an interactive python session? I can find no way to unlock the file other than renaming it and then opening and closing. The lock even persists through restarting the python interpreter.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1280507371
https://github.com/pydata/xarray/issues/6447#issuecomment-1316282950,https://api.github.com/repos/pydata/xarray/issues/6447,1316282950,IC_kwDOAMm_X85OdOJG,3383837,2022-11-16T03:46:56Z,2022-11-16T03:46:56Z,CONTRIBUTOR,"Rather than arbitrary, I'd like to see it make the choice match the ""first"" (or caller of `update`, in this example, but same error happens with `xr.merge`) input.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1194945072
https://github.com/pydata/xarray/issues/7250#issuecomment-1302289476,https://api.github.com/repos/pydata/xarray/issues/7250,1302289476,IC_kwDOAMm_X85Nn1xE,3383837,2022-11-03T15:31:52Z,2022-11-03T15:31:52Z,CONTRIBUTOR,You're welcome! Please let me know if a PR (a first for me on xarray) would be welcome. A pointer to the relevant source would get me started.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1433998942
https://github.com/pydata/xarray/issues/7250#issuecomment-1302248046,https://api.github.com/repos/pydata/xarray/issues/7250,1302248046,IC_kwDOAMm_X85Nnrpu,3383837,2022-11-03T15:03:17Z,2022-11-03T15:04:10Z,CONTRIBUTOR,"Darn. Well, to help this be more transparent, I think it would be on XArray to sync the new `dtype` in the variable's attributes. Because I also currently get `False` for the following:

```
ds.stack(b=('a',))['a'].dtype == ds.stack(b=('a',))['a'].values.dtype
```

Thanks for looking into this issue!","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1433998942
https://github.com/pydata/xarray/issues/6055#issuecomment-1019306532,https://api.github.com/repos/pydata/xarray/issues/6055,1019306532,IC_kwDOAMm_X848wWIk,3383837,2022-01-22T16:45:52Z,2022-01-22T16:45:52Z,CONTRIBUTOR,For future searchers: @jp-dark just added a feature to the upcoming release of the tiledb backend introducing an argument `encode_fill` to set (or not) the `_FillValue` metadata in XArray. Then the XArray `mask_and_scale` works as documented.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1075765204
https://github.com/pydata/xarray/issues/6055#issuecomment-991042526,https://api.github.com/repos/pydata/xarray/issues/6055,991042526,IC_kwDOAMm_X847Ehve,3383837,2021-12-10T14:59:29Z,2021-12-10T15:25:11Z,CONTRIBUTOR,"@dcherian Chiming in as the author of TileDB-Inc/TileDB-CF-py#117. To help ensure the tiledb backend matches the behavior of `xr.open_dataset` for netCDF files, can you help me understand why the promotion to float does _NOT_ occur in the following case:

```
import netCDF4
import xarray  as xr
import numpy as np

filename = 'temp_file.nc'
with netCDF4.Dataset(filename, mode=""w"") as group:
    group.createDimension(""index"", 4)
    var = group.createVariable(""var"", np.int16, (""index"",))
    var[0:3] = np.array([5, 6, 7], dtype=np.int16)
dataset = xr.open_dataset(filename)
dataset[""var""].dtype
```

Note that `netCDF.default_fillvalues['i2']` is the value found at dataset[""var""][3], which was never explicitly written. Here XArray seems to ignore the fill value.

**Update**

Okay, I think I understand why. In `createVariable` whether I use the default `fill_value=None` or set `fill_value=False`, XArray does not include `_FillValue` in `dataset[""var""].encoding`. That, I think, is a bug. If you `print(var)` with `fill_value=None`, you'll see that NetCDF is setting the `_FIllValue` attribute. I don't think XArray should ignore it.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1075765204