If has both x/y and lat/lon, it fails

[ahuang11]

Example dataset: https://downloads.psl.noaa.gov/Datasets/NARR/Monthlies/monolevel/albedo.mon.mean.nc

  File "/Users/ahuang/repos/titiler-xarray/titiler/xarray/reader.py", line 52, in get_variable
    ds = ds.rename({"lat": "y", "lon": "x"})
  File "/Users/ahuang/miniconda3/lib/python3.10/site-packages/xarray/core/dataset.py", line 3647, in rename
    return self._rename(name_dict=name_dict, **names)
  File "/Users/ahuang/miniconda3/lib/python3.10/site-packages/xarray/core/dataset.py", line 3614, in _rename
    variables, coord_names, dims, indexes = self._rename_all(
  File "/Users/ahuang/miniconda3/lib/python3.10/site-packages/xarray/core/dataset.py", line 3569, in _rename_all
    variables, coord_names = self._rename_vars(name_dict, dims_dict)
  File "/Users/ahuang/miniconda3/lib/python3.10/site-packages/xarray/core/dataset.py", line 3529, in _rename_vars
    raise ValueError(f"the new name {name!r} conflicts")
ValueError: the new name 'x' conflicts

[abarciauskas-bgse]

@ahuang11 apologies I'm just taking a look at this issue. Is it common for a dataset to have both x/y and lat/lon? I have not seen this before.

[ahuang11]

Some datasets do. As an example if I'm not mistaken: xr.tutorial.open_dataset("rasm")