html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/4078#issuecomment-644024630,https://api.github.com/repos/pydata/xarray/issues/4078,644024630,MDEyOklzc3VlQ29tbWVudDY0NDAyNDYzMA==,1005109,2020-06-15T09:46:42Z,2020-06-15T09:46:42Z,CONTRIBUTOR,"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","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,621021621
https://github.com/pydata/xarray/issues/4078#issuecomment-643972816,https://api.github.com/repos/pydata/xarray/issues/4078,643972816,MDEyOklzc3VlQ29tbWVudDY0Mzk3MjgxNg==,1005109,2020-06-15T08:07:52Z,2020-06-15T09:10:17Z,CONTRIBUTOR,"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 with `NotImplementedError: Chunking along the dimension to be interpolated (0) is not yet supported.`

but succeed with the monkey patched version

EDIT : added the second interp in order to show more general use","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,621021621
https://github.com/pydata/xarray/issues/4078#issuecomment-643758667,https://api.github.com/repos/pydata/xarray/issues/4078,643758667,MDEyOklzc3VlQ29tbWVudDY0Mzc1ODY2Nw==,1005109,2020-06-14T12:15:12Z,2020-06-15T08:32:27Z,CONTRIBUTOR,"Thanks, I'll try to make you tests and example quickly.

As for map_overlap, I tried, but something went wrong (I don't remember what though) . Maybe I didn't try enough. 

EDIT: I cannot use `map_overlap` because it doesn't pass `*args` through to `map_blocks`","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,621021621
https://github.com/pydata/xarray/issues/4078#issuecomment-643249507,https://api.github.com/repos/pydata/xarray/issues/4078,643249507,MDEyOklzc3VlQ29tbWVudDY0MzI0OTUwNw==,1005109,2020-06-12T12:41:01Z,2020-06-12T12:41:01Z,CONTRIBUTOR,"Any feedback ?
Is my issue usefull ?
Should I write a merge request ?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,621021621