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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
1060646604 I_kwDOAMm_X84_OC7M 6015 TypeError: '_ElementwiseFunctionArray' object does not support item assignment tomvothecoder 25624127 open 0     0 2021-11-22T22:19:24Z 2021-11-22T23:38:17Z   CONTRIBUTOR      

What happened: I am attempting to mask specific time_bnds coordinate points using loc, but am receiving TypeError: '_ElementwiseFunctionArray' object does not support item assignment.

This happens when calling ds = xr.open_dataset("path/to/file", decode_times=False), followed by ds = xr.decode_cf(ds, decode_times=True).

What you expected to happen:

The time_bnds coordinate points selected using .loc should mask.

Minimal Complete Verifiable Example:

```python import numpy as np import xarray as xr

file_path = "./input/ts_Amon_ACCESS1-0_historical_r1i1p1_185001-200512.nc"

This works fine

ds = xr.open_dataset(file_path, decode_times=True) ds["time_bnds"].loc[dict(time="1850-01")] = np.nan

This breaks

ds2 = xr.open_dataset(file_path, decode_times=False) ds2 = xr.decode_cf(ds2, decode_times=True) ds2["time_bnds"].loc[dict(time="1850-01")] = np.nan

TypeError Traceback (most recent call last) ~/Documents/Repositories/XCDAT/xcdat/qa/PR47 temporal avg/bugs/qa_seasonal_bug.py in <module> 13 ds2 = xr.open_dataset(file_path, decode_times=False) 14 ds2 = xr.decode_cf(ds2, decode_times=True) ----> 15 ds2["time_bnds"].loc[dict(time="1850-01")] = np.nan

/opt/miniconda3/envs/xcdat_dev/lib/python3.9/site-packages/xarray/core/dataarray.py in setitem(self, key, value) 212 213 pos_indexers, _ = remap_label_indexers(self.data_array, key) --> 214 self.data_array[pos_indexers] = value 215 216

/opt/miniconda3/envs/xcdat_dev/lib/python3.9/site-packages/xarray/core/dataarray.py in setitem(self, key, value) 765 for k, v in self._item_key_to_dict(key).items() 766 } --> 767 self.variable[key] = value 768 769 def delitem(self, key: Any) -> None:

/opt/miniconda3/envs/xcdat_dev/lib/python3.9/site-packages/xarray/core/variable.py in setitem(self, key, value) 852 853 indexable = as_indexable(self._data) --> 854 indexable[index_tuple] = value 855 856 @property

/opt/miniconda3/envs/xcdat_dev/lib/python3.9/site-packages/xarray/core/indexing.py in setitem(self, key, value) 435 ) 436 full_key = self._updated_key(key) --> 437 self.array[full_key] = value 438 439 def repr(self):

TypeError: '_ElementwiseFunctionArray' object does not support item assignment

```

Anything else we need to know?:

The workaround is to perform .load() after xr.decode_cf() ```python

This works

ds3 = xr.open_dataset(file_path, decode_times=False) ds3 = xr.decode_cf(ds3, decode_times=True) ds3.load() ds3["time_bnds"].loc[dict(time="1850-01")] = np.nan ```

Environment:

Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.9.7 | packaged by conda-forge | (default, Sep 29 2021, 20:33:18) [Clang 11.1.0 ] python-bits: 64 OS: Darwin OS-release: 19.6.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: None LOCALE: (None, 'UTF-8') libhdf5: 1.12.1 libnetcdf: 4.8.1 xarray: 0.19.0 pandas: 1.3.3 numpy: 1.21.2 scipy: None netCDF4: 1.5.7 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.5.1 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: 1.3.2 dask: 2021.09.1 distributed: 2021.09.1 matplotlib: None cartopy: None seaborn: None numbagg: None pint: None setuptools: 58.2.0 pip: 21.2.4 conda: None pytest: 6.2.5 IPython: 7.28.0 sphinx: 4.2.0 
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     xarray 13221727 issue

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