issues: 1268630439

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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
1268630439 I_kwDOAMm_X85LncOn 6688 2D extrapolation not working 7799184 open 0     3 2022-06-12T16:11:04Z 2022-06-14T06:19:20Z   CONTRIBUTOR      

What happened?

Extrapolation does not seem to be working on 2D data arrays. The area outside the input grid is NaN in the interpolated data when using kwargs={"fill_value": None} as arguments to the interp function (the extrapolation does work when using scipy.interpolate.interpn and passing fill_value=None along with bounds_error=False).

This figure shows the example data arrays from the code snippet provided here:

What did you expect to happen?

Area outside the input grid filled with extrapolated data.

Minimal Complete Verifiable Example

```Python import xarray as xr

da = xr.DataArray( data=[[1, 2, 3], [3, 4, 5]], coords=dict(y=[0, 1], x=[10, 20, 30]), dims=("y", "x") )

dai = da.interp(x=[25, 30, 35], y=[0, 1], kwargs={"fill_value": None}) ```

MVCE confirmation

  • [ ] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [ ] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [ ] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [ ] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

No response

Environment

INSTALLED VERSIONS ------------------ commit: None python: 3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 06:08:53) [GCC 9.4.0] python-bits: 64 OS: Linux OS-release: 5.13.0-1031-gcp machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: C.UTF-8 LOCALE: ('en_US', 'UTF-8') libhdf5: 1.12.0 libnetcdf: 4.7.4 xarray: 0.20.2 pandas: 1.3.5 numpy: 1.19.5 scipy: 1.7.3 netCDF4: 1.5.8 pydap: None h5netcdf: None h5py: 3.7.0 Nio: None zarr: 2.11.3 cftime: 1.6.0 nc_time_axis: None PseudoNetCDF: None rasterio: None cfgrib: None iris: None bottleneck: None dask: 2022.02.0 distributed: None matplotlib: 3.5.2 cartopy: None seaborn: 0.11.2 numbagg: None fsspec: 2022.5.0 cupy: None pint: 0.18 sparse: None setuptools: 59.8.0 pip: 22.1.1 conda: 4.12.0 pytest: 7.1.2 IPython: 7.33.0 sphinx: None 
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     13221727 issue

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