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https://github.com/pydata/xarray/issues/3245#issuecomment-662583820 https://api.github.com/repos/pydata/xarray/issues/3245 662583820 MDEyOklzc3VlQ29tbWVudDY2MjU4MzgyMA== 1217238 2020-07-22T17:26:59Z 2020-07-22T17:26:59Z MEMBER

3. for now we are OK with special as_sparse, as_cupy, as_pint methods in xarray as long as all that logic is contained in one place: as_duck_array.py?

+1 for as_numpy(), too

One question about as_numpy: should it convert pint arrays into NumPy by stripping units? Or should it convert the arrays underlying pint and keep the units? I guess the first would probably make more sense for DataArray.as_numpy(). The second behavior could be achieved with DataArray.pint.as_numpy().

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