What happened?

Assigning a DataArray to a subset of another DataArray seems to depend on the order of the dimensions

What did you expect to happen?

I would expect xarray to automatically align the dimensions appropriately.

Minimal Complete Verifiable Example

Example 1:

```python from xarray import DataArray from numpy import zeros, ones, arange

Two arrays abc and acb, identical except for dimensional ordering

abc = DataArray(zeros((2, 3, 4)), dims=('a', 'b', 'c')) acb = DataArray(zeros((2, 4, 3)), dims=('a', 'c', 'b')) assert (abc == acb).all()

Assign a subset

bc = DataArray(ones((3, 4)), dims=('b', 'c')) abc.loc[dict(a=0)] = bc acb.loc[dict(a=0)] = bc # ValueError: could not broadcast input array from shape (3,4) into shape (4,3) ```

Example 2:

Same as example 1, but instead of raising a ValueError, runs without error, but gives incorrect results because it ignores dimension order

```python

This time, make b and c dimensions identical

abc = DataArray(zeros((2, 3, 3)), dims=('a', 'b', 'c')) acb = DataArray(zeros((2, 3, 3)), dims=('a', 'c', 'b')) assert (abc == acb).all()

Assign a subset

bc = DataArray(arange(9).reshape(3, 3), dims=('b', 'c')) abc.loc[dict(a=0)] = bc acb.loc[dict(a=0)] = bc assert (abc == acb).all() # Assertion error ```

MVCE confirmation

• [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
• [X] Complete example — the example is self-contained, including all data and the text of any traceback.
• [X] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
• [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

No response

Environment

INSTALLED VERSIONS ------------------ commit: None python: 3.9.13 | packaged by conda-forge | (main, May 27 2022, 16:50:36) [MSC v.1929 64 bit (AMD64)] python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 142 Stepping 12, GenuineIntel byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: ('English_United States', '1252') libhdf5: 1.12.1 libnetcdf: 4.8.1 xarray: 2022.6.0 pandas: 1.4.3 numpy: 1.23.1 scipy: 1.9.0 netCDF4: 1.6.0 pydap: None h5netcdf: None h5py: 3.7.0 Nio: None zarr: None cftime: 1.6.1 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: None distributed: None matplotlib: 3.5.2 cartopy: None seaborn: None numbagg: None fsspec: 2022.7.1 cupy: None pint: None sparse: None flox: None numpy_groupies: None setuptools: 63.4.2 pip: 22.2.2 conda: 4.14.0 pytest: 7.1.2 IPython: 8.4.0 sphinx: None