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 544371612,MDU6SXNzdWU1NDQzNzE2MTI=,3657,.rename() does not check conflict with multiindex level names,14136435,closed,0,,,0,2020-01-01T15:50:38Z,2020-01-03T12:16:45Z,2020-01-03T12:16:45Z,CONTRIBUTOR,,,,"#### MCVE Code Sample ```python >>> import xarray as xr >>> ds = xr.Dataset({""x"": 42}, {""level0"": [0, 1], ""level1"": [3, 4]}).set_index(mindex=[""level0"", ""level1""]) >>> ds Dimensions: (mindex: 2) Coordinates: * mindex (mindex) MultiIndex - level0 (mindex) int64 0 1 - level1 (mindex) int64 3 4 Data variables: x int64 42 >>> ds.rename({""x"": ""level0""}) Dimensions: (mindex: 2) Coordinates: * mindex (mindex) MultiIndex - level0 (mindex) int64 0 1 - level1 (mindex) int64 3 4 Data variables: level0 int64 42 ``` #### Expected Output raise a ValueError(""conflicting Multiindex names ..."") #### Problem Description Using .rename() you can get into a situation where you have a data variable or coordinate with the same name as a multi-index level name. #### Output of ``xr.show_versions()``
INSTALLED VERSIONS ------------------ commit: b3d3b4480b7fb63402eb6c02103bb8d6c7dbf93a python: 3.8.0 | packaged by conda-forge | (default, Nov 22 2019, 19:11:38) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 4.4.0-18362-Microsoft machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: None libnetcdf: None xarray: 0.14.1+36.gb3d3b44 pandas: 0.25.3 numpy: 1.18.0 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: 2.9.1 distributed: 2.9.1 matplotlib: None cartopy: None seaborn: None numbagg: None setuptools: 42.0.2.post20191201 pip: 19.3.1 conda: None pytest: 5.3.2 IPython: None sphinx: None
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