issue_comments: 1176730713

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https://github.com/pydata/xarray/issues/6758#issuecomment-1176730713 https://api.github.com/repos/pydata/xarray/issues/6758 1176730713 IC_kwDOAMm_X85GI3xZ 2448579 2022-07-06T20:54:23Z 2022-07-06T20:54:23Z MEMBER

Yes that's right.

For this simple problem you could combine np.digitize and np.bincount to do it much quicker.

python group_idx = np.digitize(latitude, bins) sums = np.bincount(group_idx, weights=array)

And then wrap this using apply_ufunc. See https://github.com/ml31415/numpy-groupies/blob/412be938dcdfd74c6d673dd29012d18dc25dc94f/numpy_groupies/aggregate_numpy.py#L8-L28 for inspiration.

 
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