issues: 305663416

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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
305663416 MDU6SXNzdWUzMDU2NjM0MTY= 1992 Canonical approach for new vectorized functions 5635139 closed 0     4 2018-03-15T18:09:08Z 2020-02-29T07:22:01Z 2020-02-29T07:22:00Z MEMBER      

We are moving some code over from pandas to Xarray, and one of the biggest missing features is exponential functions, e.g. series.ewm(span=20).mean().

It looks like we can write these as gufuncs without too much trouble in numba. But I also notice that numbagg hasn't changed in a while and that we chose bottleneck for many of the functions in Xarray.

  • Is numba a good approach for these?
  • As well as our own internal use, could we add numba functions to Xarray, or are there dependency issues?
  • Tangentially, I'd be interested why we're using bottleneck rather than numbagg for the existing functions
 
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