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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
1209745654 I_kwDOAMm_X85IG0D2 6502 Raise nicer error if passing a list of dimension names to transpose fabienpaulot 42008691 closed 0     5 2022-04-20T14:08:05Z 2022-10-04T18:22:54Z 2022-10-04T18:22:54Z NONE      

What happened?

Hello,

in xarray 0.20.1, I am getting the following error

ds = xr.Dataset({"foo": (("x", "y", "z"), [[[42]]]), "bar": (("y", "z"), [[24]])})

ds.transpose("y", "z", "x")

``` 868 """Depending on the setting of missing_dims, drop any dimensions from supplied_dims that 869 are not present in dims. 870 (...) 875 missing_dims : {"raise", "warn", "ignore"} 876 """ 878 if missing_dims == "raise": --> 879 supplied_dims_set = {val for val in supplied_dims if val is not ...} 880 invalid = supplied_dims_set - set(dims) 881 if invalid:

TypeError: unhashable type: 'list' ```

What did you expect to happen?

The expected result is ``` ds.transpose("y", "z", "x")

<xarray.Dataset> Dimensions: (x: 1, y: 1, z: 1) Dimensions without coordinates: x, y, z Data variables: foo (y, z, x) int64 42 bar (y, z) int64 24 ```

Minimal Complete Verifiable Example

No response

Relevant log output

No response

Anything else we need to know?

No response

Environment

INSTALLED VERSIONS ------------------ commit: None python: 3.9.12 (main, Apr 5 2022, 06:56:58) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 3.10.0-1160.42.2.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US LOCALE: ('en_US', 'ISO8859-1') libhdf5: 1.12.1 libnetcdf: 4.8.1 xarray: 0.20.1 pandas: 1.4.1 numpy: 1.21.5 scipy: 1.8.0 netCDF4: 1.5.7 pydap: None h5netcdf: 999 h5py: 3.6.0 Nio: None zarr: None cftime: 1.5.1.1 nc_time_axis: 1.4.0 PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.4 dask: 2022.02.1 distributed: 2022.2.1 matplotlib: 3.5.1 cartopy: 0.18.0 seaborn: 0.11.2 numbagg: None fsspec: 2022.02.0 cupy: None pint: 0.18 sparse: 0.13.0 setuptools: 61.2.0 pip: 21.2.4 conda: None pytest: None IPython: 8.2.0 sphinx: None 
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   completed xarray 13221727 issue
436311057 MDU6SXNzdWU0MzYzMTEwNTc= 2915 Plotting tripolar dataset in xarray fabienpaulot 42008691 closed 0     4 2019-04-23T17:44:33Z 2019-04-23T20:16:56Z 2019-04-23T20:16:56Z NONE      

I am trying to plot a tripolar grid dataset using xarray/cartopy.

I can plot it fine using matplotlib/cartopy

ds = xr.open_dataset('ocean_hgrid.nc') xcntr = ds['x'][1::2,1::2] ycntr = ds['y'][1::2,1::2]

test=xr.open_dataset('xarray_test.nc')

ax = plt.axes(projection=proj) cs=plt.contourf(xcntr,ycntr,test['nh4_stf'],transform=data_crs,cmap='coolwarm',vmin=-4.5e-9,vmax=4.5e-9) plt.colorbar(cs)

I would like to achieve the same result in xarray. I have tried the following proj=ccrs.PlateCarree() data_crs=ccrs.PlateCarree() ax = plt.axes(projection=proj) test['nh4_stf'].plot.contourf(ax=ax, transform=ccrs.PlateCarree()) and test['nh4_stf'].plot.pcolormesh(x=xcntr,y=ycntr,ax=ax,transform=ccrs.PlateCarree())

but this does not work (the second option crashes). Is there a way to pass xcntr,ycntr?

datasets can be found on ftp://ftp.gfdl.noaa.gov/pub/Fabien.Paulot/xarray/

Thank you very much and congratulations to the developers for this amazing tool

xarray.show_versions()

INSTALLED VERSIONS

commit: None python: 3.7.3 (default, Mar 27 2019, 22:11:17) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 2.6.32-696.30.1.el6.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US LOCALE: en_US.ISO8859-1 libhdf5: 1.10.3 libnetcdf: 4.6.1

xarray: 0.11.3 pandas: 0.24.2 numpy: 1.16.2 scipy: 1.2.1 netCDF4: 1.4.2 pydap: None h5netcdf: None h5py: 2.8.0 Nio: None zarr: None cftime: 1.0.3.4 PseudonetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None cyordereddict: None dask: 1.1.5 distributed: 1.27.0 matplotlib: 3.0.3 cartopy: 0.16.0 seaborn: 0.9.0 setuptools: 41.0.0 pip: 19.0.3 conda: None pytest: None IPython: 7.4.0 sphinx: 2.0.1

 
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   completed xarray 13221727 issue

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