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352999600 MDU6SXNzdWUzNTI5OTk2MDA= 2377 Comparing scalar xarray with ma.masked fails with ValueError: assignment destination is read-only gerritholl 500246 closed 0     5 2018-08-22T15:11:54Z 2023-05-17T16:06:01Z 2023-05-17T16:06:01Z CONTRIBUTOR      

Code Sample, a copy-pastable example if possible

python xarray.DataArray(0) > numpy.ma.masked

Problem description

This results in ValueError: assignment destination is read-only:

```

ValueError Traceback (most recent call last) <ipython-input-102-f6226708b971> in <module>() ----> 1 xarray.DataArray(0) > numpy.ma.masked

/group_workspaces/cems2/fiduceo/Users/gholl/anaconda3/envs/FCDR37a/lib/python3.7/site-packages/xarray/core/dataarray.py in func(self, other) 1808 1809 variable = (f(self.variable, other_variable) -> 1810 if not reflexive 1811 else f(other_variable, self.variable)) 1812 coords = self.coords._merge_raw(other_coords)

/group_workspaces/cems2/fiduceo/Users/gholl/anaconda3/envs/FCDR37a/lib/python3.7/site-packages/xarray/core/variable.py in func(self, other) 1580 if not reflexive 1581 else f(other_data, self_data)) -> 1582 result = Variable(dims, new_data) 1583 return result 1584 return func

/group_workspaces/cems2/fiduceo/Users/gholl/anaconda3/envs/FCDR37a/lib/python3.7/site-packages/xarray/core/variable.py in init(self, dims, data, attrs, encoding, fastpath) 260 unrecognized encoding items. 261 """ --> 262 self._data = as_compatible_data(data, fastpath=fastpath) 263 self._dims = self._parse_dimensions(dims) 264 self._attrs = None

/group_workspaces/cems2/fiduceo/Users/gholl/anaconda3/envs/FCDR37a/lib/python3.7/site-packages/xarray/core/variable.py in as_compatible_data(data, fastpath) 177 dtype, fill_value = dtypes.maybe_promote(data.dtype) 178 data = np.asarray(data, dtype=dtype) --> 179 data[mask] = fill_value 180 else: 181 data = np.asarray(data)

ValueError: assignment destination is read-only ```

Expected Output

To be consistent, the result should be identical to the result of

(xarray.DataArray([0,0]) > numpy.ma.masked)[0]

which would be

xarray.DataArray(nan)

Output of xr.show_versions()

xarray.show_versions() INSTALLED VERSIONS ------------------ commit: None python: 3.7.0.final.0 python-bits: 64 OS: Linux OS-release: 2.6.32-754.el6.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_GB.UTF-8 xarray: 0.10.7 pandas: 0.23.2 numpy: 1.14.5 scipy: 1.1.0 netCDF4: 1.4.0 h5netcdf: 0.6.1 h5py: 2.8.0 Nio: None zarr: None bottleneck: 1.2.1 cyordereddict: None dask: 0.18.1 distributed: 1.22.0 matplotlib: 2.2.2 cartopy: 0.16.0 seaborn: 0.9.0 setuptools: 39.2.0 pip: 18.0 conda: None pytest: 3.2.2 IPython: 6.4.0 sphinx: None 
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   completed xarray 13221727 issue
203630267 MDU6SXNzdWUyMDM2MzAyNjc= 1234 `where` grows new dimensions for unrelated variables gerritholl 500246 open 0     5 2017-01-27T13:02:34Z 2022-04-18T16:04:16Z   CONTRIBUTOR      

In the example below, the dimensionality for data variable y grows from (b) to (b, a) after calling the dataset where method. This behaviour does not appear to be documented. Is it a bug?

``` In [46]: ds = xarray.Dataset({"x": (("a", "b"), arange(25).reshape(5,5)+100), "y": ("b", arange(5)-100)}, {"a": arange(5), "b": arange(5)*2, "c": (("a",), list("ABCDE"))})

In [47]: print(ds)
<xarray.Dataset>
Dimensions:  (a: 5, b: 5)
Coordinates:
  * b        (b) int64 0 2 4 6 8
    c        (a) <U1 'A' 'B' 'C' 'D' 'E'
  * a        (a) int64 0 1 2 3 4
Data variables:
    x        (a, b) int64 100 101 102 103 104 105 106 107 108 109 110 111 ...
    y        (b) int64 -100 -99 -98 -97 -96

In [69]: ds.where((ds.c>='A') & (ds.c<='C'))
Out[69]: 
<xarray.Dataset>
Dimensions:  (a: 5, b: 5)
Coordinates:
  * b        (b) int64 0 2 4 6 8
    c        (a) <U1 'A' 'B' 'C' 'D' 'E'
  * a        (a) int64 0 1 2 3 4
Data variables:
    x        (a, b) float64 100.0 101.0 102.0 103.0 104.0 105.0 106.0 107.0 ...
    y        (b, a) float64 -100.0 -100.0 -100.0 nan nan -99.0 -99.0 -99.0 ...

```

 
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     xarray 13221727 issue

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