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issues: 1630746106

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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
1630746106 I_kwDOAMm_X85hMzX6 7645 encode_cf_variable triggers AttributeError: 'DataArray' object has no attribute '_data' 8699967 closed 0     3 2023-03-19T02:23:44Z 2023-03-20T14:21:07Z 2023-03-20T14:21:06Z CONTRIBUTOR      

What happened?

AttributeError: 'DataArray' object has no attribute '_data'

What did you expect to happen?

No error.

Minimal Complete Verifiable Example

```Python

https://github.com/corteva/rioxarray/blob/21284f67db536d9c104aa872ab0bbc261259e59e/test/integration/test_integration_rioxarray.py#L1818-L1844

import numpy import xarray import rioxarray

test_da = xarray.DataArray( numpy.zeros((5, 5)), dims=("y", "x"), coords={"y": numpy.arange(1, 6), "x": numpy.arange(2, 7)}, ) test_da.values[1, 1] = -1.1 test_nd = test_da.rio.write_nodata(-1.1) test_nd.rio.write_transform( Affine.from_gdal(425047, 3.0, 0.0, 4615780, 0.0, -3.0), inplace=True ) test_nd.rio.write_crs("EPSG:4326", inplace=True) test_nd.rio.to_raster("dtype.tif", dtype=numpy.uint8) ```

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

```Python rioxarray/raster_writer.py:288: in to_raster data = encode_cf_variable(out_data).values.astype(numpy_dtype) /usr/share/miniconda/envs/test/lib/python3.9/site-packages/xarray/conventions.py:296: in encode_cf_variable var = coder.encode(var, name=name) /usr/share/miniconda/envs/test/lib/python3.9/site-packages/xarray/coding/times.py:690: in encode ) or contains_cftime_datetimes(variable): /usr/share/miniconda/envs/test/lib/python3.9/site-packages/xarray/core/common.py:1818: in contains_cftime_datetimes return _contains_cftime_datetimes(var._data)


self = <xarray.DataArray (y: 5, x: 5)> array([[ 0. , 0. , 0. , 0. , 0. ], [ 0. , -1.1, 0. , 0. , 0. ], [... (y) int64 1 2 3 4 5 * x (x) int64 2 3 4 5 6 spatial_ref int64 0 Attributes: _FillValue: -1.1 name = '_data'

def __getattr__(self, name: str) -> Any:
    if name not in {"__dict__", "__setstate__"}:
        # this avoids an infinite loop when pickle looks for the
        # __setstate__ attribute before the xarray object is initialized
        for source in self._attr_sources:
            with suppress(KeyError):
                return source[name]
  raise AttributeError(
        f"{type(self).__name__!r} object has no attribute {name!r}"
    )

E AttributeError: 'DataArray' object has no attribute '_data'

/usr/share/miniconda/envs/test/lib/python3.9/site-packages/xarray/core/common.py:276: AttributeError ```

Anything else we need to know?

No response

Environment

This is the latest version of xarray/numpy (pre-release versions).

https://github.com/corteva/rioxarray/actions/runs/4458288974/jobs/7829970587

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  completed 13221727 issue

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