issues: 638909879

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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
638909879 MDExOlB1bGxSZXF1ZXN0NDM0NTg2NDg5 4155 Implement interp for interpolating between chunks of data (dask) 1005109 closed 0     42 2020-06-15T14:42:32Z 2020-09-06T12:27:15Z 2020-08-11T23:15:49Z CONTRIBUTOR   0 pydata/xarray/pulls/4155

In a project of mine I need to interpolate a dask-based xarray between chunk of data.

When using the current official interp function (xarray v0.15.1), the code:

```python datax = xr.DataArray(data=da.from_array(np.arange(0, 4), chunks=2), coords={"x": np.linspace(0, 1, 4)}, dims="x") datay = xr.DataArray(data=da.from_array(np.arange(0, 4), chunks=2), coords={"y": np.linspace(0, 1, 4)}, dims="y") data = datax * datay

# both of these interp call fails
res = datax.interp(x=np.linspace(0, 1))
print(res.load())

res = data.interp(x=np.linspace(0, 1), y=0.5)
print(res.load())

`` fails withNotImplementedError: Chunking along the dimension to be interpolated (0) is not yet supported.`, but succeed with this version

I also want to alert that my version does not work with "advanced interpolation" (as shown in the xarray documentation) Also, my version cannot be used to make interpolate_na work with chunked data

  • [x] Closes #4078
  • [x] Tests added
  • [x] Passes isort -rc . && black . && mypy . && flake8
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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