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running numpy functions on xarray objects #3917
Description
In the pint integration tests I tried to also test calling numpy functions on xarray objects (we provide methods for all of them).
Some of these functions, like numpy.median, numpy.searchsorted and numpy.clip, depend on __array_function__ (i.e. not __array_ufunc__) to dispatch. However, neither Dataset nor DataArray (nor Variable, I think?) define these protocols (see #3643).
Should we define __array_function__ on xarray objects?
Reacted by JT Thielen, Andrew Thomas, Deepak Cherian and Dan Raviv
Activity
shoyer commentedon Apr 9, 2020
I think this is probably a good idea, assuming we figure out the type casting hierarchy challenge. Right now people often check for the existence of
__array_function__to indicate NumPy duck arrays, which clearly isn't quite right.