issues: 708337538

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id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
708337538 MDU6SXNzdWU3MDgzMzc1Mzg= 4456 workaround for file with variable and dimension having same name 3958036 closed 0     4 2020-09-24T17:10:04Z 2021-12-29T16:55:53Z 2021-12-29T16:55:53Z CONTRIBUTOR      

Adding a variable that's not a 1d "dimension coordinate" with the same name as a dimension is an error. This makes sense. However, if I have a .nc file that has such a variable, is there any workaround to get the badly-named variable into xarray short of altering the .nc file or loading it separately with netCDF4? I.e. to make the following work somehow ``` import xarray as xr import netCDF4

f = netCDF4.Dataset() f = netCDF4.Dataset("test.nc", "w") f.createDimension("x", 2) f.createDimension("y", 3) f["y"] = np.ones([2,3]) f["y"][...] = 1.0 f.close()

ds = xr.open_dataset('test.nc') `` rather than getting the current errorMissingDimensionsError: 'y' has more than 1-dimension and the same name as one of its dimensions ('x', 'y'). xarray disallows such variables because they conflict with the coordinates used to label dimensions.`

I think it might be nice to have something like a rename_vars argument to open_dataset(). Similar to how drop_vars ignores a list of variables, rename_vars could rename a dict of variables so the example above could do ds = xr.open_dataset("test.nc", rename_vars={"y": "y_not_dimension"}) and get a Dataset with a dimension "y" and a variable "y_not_dimension".

 
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