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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
661076732 MDU6SXNzdWU2NjEwNzY3MzI= 4239 Xarray dimension interpolation strips coordinate attributes lukelbd 19657652 closed 0     1 2020-07-19T21:19:35Z 2021-04-27T07:00:07Z 2021-04-27T07:00:07Z NONE      

What happened: DataArray.interp strips the dimension coordinate attributes.

What you expected to happen: Preserved coordinate attributes.

Minimal Complete Verifiable Example:

Input:

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

data = xr.DataArray( np.random.rand(5), dims='x', coords={'x': ('x', np.arange(5), {'foo': 'bar'})} )

print(data.x.attrs) # initial attributes print(data.sel(x=2).x.attrs) # sel and isel preserve attributes print(data.interp(x=2.5).x.attrs) # interp does not preserve attributes with xr.set_options(keep_attrs=True): print(data.interp(x=2.5).x.attrs) # keep_attrs does nothing ```

Output:

python {'foo': 'bar'} {'foo': 'bar'} {} {}

Environment:

Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.8.3 | packaged by conda-forge | (default, Jun 1 2020, 17:43:00) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 3.10.0-957.27.2.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: en_US.UTF-8 LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.15.1 pandas: 1.0.4 numpy: 1.18.4 scipy: 1.4.1 netCDF4: 1.5.3 pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: 1.1.3 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.17.2 distributed: 2.18.0 matplotlib: 3.2.1 cartopy: 0.18.0 seaborn: None numbagg: None setuptools: 47.3.0.post20200616 pip: 20.1.1 conda: 4.8.3 pytest: None IPython: 7.15.0 sphinx: None 
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   completed xarray 13221727 issue
639618568 MDU6SXNzdWU2Mzk2MTg1Njg= 4161 Dark theme-friendly HTML Dataset and DataArray reprs for jupyter notebooks? lukelbd 19657652 closed 0     2 2020-06-16T12:18:23Z 2020-06-17T18:33:58Z 2020-06-17T18:33:58Z NONE      

Xarray's HTML Dataset and DataArray reprs are evidently not compatible with "dark" jupyter notebook themes. They seem to work fine with the dark jupyter lab theme, and since jupyter lab is the way of the future perhaps this issue is obsolete, but thought I'd mention it.

The below example is from a jupyter notebook with the "onedork" dark theme from jupyter-themes. It results in black text against a dark background for the section headers (Coordinates, Dimensions, etc.) and DataArray data tables, and a light background for the coordinate and Dataset data tables.

```python

Dataset repr

import numpy as np import xarray as xr ds = xr.Dataset( { 'temp': (('x', 'y'), np.random.rand(10, 20), {'long_name': 'temperature', 'units': 'degrees_Celsius'}), 'x': ('x', np.arange(10)), 'y': ('y', np.arange(20)), }, attrs={'description': 'example dataset'} ) ds ```

```python

DataArray repr

ds.temp ```

Note that, by contrast, the text repr is dark theme friendly:

```python

Text repr

xr.set_options(display_style='text') ds ```

Versions

Jupyter versions jupyter core : 4.6.3 jupyter-notebook : 6.0.3 qtconsole : 4.7.4 ipython : 7.15.0 ipykernel : 5.3.0 jupyter client : 6.1.3 jupyter lab : not installed nbconvert : 5.6.1 ipywidgets : 7.5.1 nbformat : 5.0.6 traitlets : 4.3.3
Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.8.3 | packaged by conda-forge | (default, Jun 1 2020, 17:43:00) [GCC 7.5.0] python-bits: 64 OS: Linux OS-release: 3.10.0-957.27.2.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: en_US.UTF-8 LANG: en_US.UTF-8 LOCALE: en_US.UTF-8 libhdf5: None libnetcdf: None xarray: 0.15.1 pandas: 1.0.4 numpy: 1.18.4 scipy: 1.4.1 netCDF4: None pydap: None h5netcdf: None h5py: None Nio: None zarr: None cftime: None nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2.17.2 distributed: 2.18.0 matplotlib: 3.2.1 cartopy: 0.18.0 seaborn: None numbagg: None setuptools: 47.1.1.post20200529 pip: 20.1.1 conda: 4.8.3 pytest: None IPython: 7.15.0 sphinx: None 
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   completed xarray 13221727 issue

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