issues: 617704483

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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
617704483 MDU6SXNzdWU2MTc3MDQ0ODM= 4058 Interpolating with a common chunked dim fails 20629530 closed 0     2 2020-05-13T19:38:48Z 2020-09-24T16:50:11Z 2020-09-24T16:50:10Z CONTRIBUTOR      

Interpolating a dataarray with another one fails if one of them is a dask array and they share a chunked dimension. Even if the interpolation is independent of that dimension.

MCVE Code Sample

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

g = xr.DataArray(np.zeros((10, 10)), dims=('x', 'c'), coords={k: np.arange(10) for k in ['x', 'c']}) b = xr.DataArray([5, 6.6, 8.8], dims=('new',)).expand_dims(c=g.c) gc = g.chunk({'c': 1}) gc.interp(x=b) ```

Expected Output

An array with coords "new" and "c", with values of g interpolated along x at positions in b, for each c. As there is no interpolation along c, I would expect the fact that it is chunked to be irrelevant.

Problem Description

Raises: NotImplementedError: Chunking along the dimension to be interpolated (1) is not yet supported.;

I didn't see any issue about this, so I thought it ought to be noted as a needed enhancement.

Versions

Output of <tt>xr.show_versions()</tt> INSTALLED VERSIONS ------------------ commit: None python: 3.8.2 | packaged by conda-forge | (default, Apr 16 2020, 18:04:51) [GCC 7.3.0] python-bits: 64 OS: Linux OS-release: 3.10.0-514.2.2.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_CA.UTF-8 LOCALE: en_CA.UTF-8 libhdf5: 1.10.6 libnetcdf: 4.7.4 xarray: 0.15.2.dev42+g0cd14a5 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: 1.1.3 cfgrib: None iris: None bottleneck: 1.3.2 dask: 2.14.0 distributed: 2.14.0 matplotlib: 3.2.1 cartopy: 0.17.0 seaborn: None numbagg: None pint: 0.11 setuptools: 46.1.3.post20200325 pip: 20.0.2 conda: None pytest: 5.4.1 IPython: 7.13.0 sphinx: None 
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