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/5629#issuecomment-885216203,https://api.github.com/repos/pydata/xarray/issues/5629,885216203,IC_kwDOAMm_X840w1PL,39069044,2021-07-22T20:37:04Z,2021-07-22T20:37:04Z,CONTRIBUTOR,"Potentially a useful comparison: here is the task graph for the same problem posed to `da.curvefit`, which uses `xr.apply_ufunc(scipy.optimize.curvefit, ..., vectorize=True)`. Looks a lot cleaner, and I think `xr.polyfit` could be re-implemented this way without much trouble.
```python
import xarray as xr
import dask.array as dsa
def linear(x, m, b):
return m * x + b
da = xr.DataArray(dsa.random.random((4,6, 100), chunks=(1,2,100)), dims=['x','y', 'time'])
fit = da.curvefit('time', linear).curvefit_coefficients
```
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