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
309136602,MDU6SXNzdWUzMDkxMzY2MDI=,2019,Appending to an existing netCDF file fails with scipy==1.0.1,1217238,closed,0,,,5,2018-03-27T21:15:05Z,2020-03-09T07:18:07Z,2020-03-09T07:18:07Z,MEMBER,,,,"https://travis-ci.org/pydata/xarray/builds/359093748

Example failure:
```
_____________________ ScipyFilePathTest.test_append_write ______________________
self = <xarray.tests.test_backends.ScipyFilePathTest testMethod=test_append_write>
    def test_append_write(self):
        # regression for GH1215
        data = create_test_data()
>       with self.roundtrip_append(data) as actual:
xarray/tests/test_backends.py:786: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../../../miniconda/envs/test_env/lib/python3.6/contextlib.py:81: in __enter__
    return next(self.gen)
xarray/tests/test_backends.py:155: in roundtrip_append
    self.save(data[[key]], path, mode=mode, **save_kwargs)
xarray/tests/test_backends.py:162: in save
    **kwargs)
xarray/core/dataset.py:1131: in to_netcdf
    unlimited_dims=unlimited_dims)
xarray/backends/api.py:657: in to_netcdf
    unlimited_dims=unlimited_dims)
xarray/core/dataset.py:1068: in dump_to_store
    unlimited_dims=unlimited_dims)
xarray/backends/common.py:363: in store
    unlimited_dims=unlimited_dims)
xarray/backends/common.py:402: in set_variables
    self.writer.add(source, target)
xarray/backends/common.py:265: in add
    target[...] = source
xarray/backends/scipy_.py:61: in __setitem__
    data[key] = value
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
self = <scipy.io.netcdf.netcdf_variable object at 0x7fe3eb3ec6a0>
index = Ellipsis, data = array([0. , 0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. ])
    def __setitem__(self, index, data):
        if self.maskandscale:
            missing_value = (
                    self._get_missing_value() or
                    getattr(data, 'fill_value', 999999))
            self._attributes.setdefault('missing_value', missing_value)
            self._attributes.setdefault('_FillValue', missing_value)
            data = ((data - self._attributes.get('add_offset', 0.0)) /
                    self._attributes.get('scale_factor', 1.0))
            data = np.ma.asarray(data).filled(missing_value)
            if self._typecode not in 'fd' and data.dtype.kind == 'f':
                data = np.round(data)
    
        # Expand data for record vars?
        if self.isrec:
            if isinstance(index, tuple):
                rec_index = index[0]
            else:
                rec_index = index
            if isinstance(rec_index, slice):
                recs = (rec_index.start or 0) + len(data)
            else:
                recs = rec_index + 1
            if recs > len(self.data):
                shape = (recs,) + self._shape[1:]
                # Resize in-place does not always work since
                # the array might not be single-segment
                try:
                    self.data.resize(shape)
                except ValueError:
                    self.__dict__['data'] = np.resize(self.data, shape).astype(self.data.dtype)
>       self.data[index] = data
E       ValueError: assignment destination is read-only
```","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/2019/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed,13221727,issue