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,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 ``` dask.array Coordinates: lat (south_north, west_east) float32 dask.array lon (south_north, west_east) float32 dask.array * time (time) datetime64[ns] 2016-12-31 ... 2019-01-01T23:50:00.000000064 Dimensions without coordinates: south_north, west_east Attributes: long_name: Diffuse Horizontal Irradiance standard_name: dhi units: W/m2 dhi_calc_method: pvlib.irradiance.erbs ``` #### Output secondprint statement ``` dask.array Coordinates: lat (south_north, west_east) float32 dask.array lon (south_north, west_east) float32 dask.array * time (time) datetime64[ns] 2016-12-31 ... 2019-01-01T23:50:00.000000064 Dimensions without coordinates: south_north, west_east ``` #### Problem Description I do not believe attributes should ever be dropped like this as they typically contain persistent information. #### Versions
Output 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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