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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 599074389 | MDU6SXNzdWU1OTkwNzQzODk= | 3968 | interpolate_na drops DataArray attributes | RobWatersMet 40356437 | closed | 0 | 2 | 2020-04-13T19:07:38Z | 2020-04-17T20:16:27Z | 2020-04-17T20:16:27Z | NONE | When performing interpolate_na on a DataArray the attributes are removed. Unless I am doing something incorrect. MCVE Code Sample```python print(dhi_da) dhi_ds = dhi_ds.interpolate_na(dim='time') print(dhi_da) ``` Output first print statement
Output secondprint statement``` <xarray.DataArray 'dhi' (south_north: 90, west_east: 90, time: 105408)> dask.array<vectorize_func_interpolate_na, shape=(90, 90, 105408), dtype=float64, chunksize=(90, 90, 105408), chunktype=numpy.ndarray> Coordinates: lat (south_north, west_east) float32 dask.array<chunksize=(90, 90), meta=np.ndarray> lon (south_north, west_east) float32 dask.array<chunksize=(90, 90), meta=np.ndarray> * time (time) datetime64[ns] 2016-12-31 ... 2019-01-01T23:50:00.000000064 Dimensions without coordinates: south_north, west_east ``` Problem DescriptionI do not believe attributes should ever be dropped like this as they typically contain persistent information. VersionsOutput of `xr.show_versions()`INSTALLED VERSIONS ------------------ commit: None python: 3.7.6 | packaged by conda-forge | (default, Mar 23 2020, 23:03:20) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 3.10.0-862.14.4.el7.x86_64 machine: x86_64 processor: byteorder: little LC_ALL: C.UTF-8 LANG: C.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.5 libnetcdf: 4.7.4 xarray: 0.15.1 pandas: 1.0.3 numpy: 1.18.1 scipy: 1.4.1 netCDF4: 1.5.3 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.1.1.2 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.14.0 distributed: 2.14.0 matplotlib: None cartopy: None seaborn: None numbagg: None setuptools: 46.1.3.post20200325 pip: 20.0.2 conda: 4.8.3 pytest: None IPython: None sphinx: None |
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