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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
1966675016 I_kwDOAMm_X851ORRI 8388 Type annotation compatibility with numpy ufuncs djhoese 1828519 closed 0     4 2023-10-28T17:25:11Z 2023-11-02T12:44:50Z 2023-11-02T12:44:50Z CONTRIBUTOR      

Is your feature request related to a problem?

I'd like mypy to understand that xarray DataArrays passed to numpy ufuncs have a return type of xarray DataArray.

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

def compute_relative_azimuth(sat_azi: xr.DataArray, sun_azi: xr.DataArray) -> xr.DataArray: abs_diff = np.absolute(sun_azi - sat_azi) ssadiff = np.minimum(abs_diff, 360 - abs_diff) return ssadiff

```

bash $ mypy ./xarray_mypy.py xarray_mypy.py:7: error: Incompatible return value type (got "ndarray[Any, dtype[Any]]", expected "DataArray") [return-value] Found 1 error in 1 file (checked 1 source file)

Describe the solution you'd like

I'm not sure if this is possible, if it is something xarray can fix, or something numpy needs to "fix". I'd like the above situation to "just work" without anything more than maybe some extra type-stub package.

Describe alternatives you've considered

Cast types or other type coercion or tell mypy to ignore the type issues for these numpy call.

Additional context

https://stackoverflow.com/questions/77369042/typing-when-passing-xarray-dataarray-objects-to-numpy-ufuncs

 
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   completed xarray 13221727 issue

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