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  • jhamman · 2 ✖

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  • add average function · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
218513335 https://github.com/pydata/xarray/issues/422#issuecomment-218513335 https://api.github.com/repos/pydata/xarray/issues/422 MDEyOklzc3VlQ29tbWVudDIxODUxMzMzNQ== jhamman 2443309 2016-05-11T16:26:55Z 2016-05-11T16:26:55Z MEMBER

@mathause -

I would think you want the latter (da.weighted(weight).mean(dim='time')). weighted should handle the brodcasting of weight such that you could do this:

``` Python

da.shape (72, 10, 15) da.dims ('time', 'x', 'y') weights = some_func_of_time(time) da.weighted(weights).mean(dim=('time', 'x')) ... ```

 
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   add average function 84127296
218358372 https://github.com/pydata/xarray/issues/422#issuecomment-218358372 https://api.github.com/repos/pydata/xarray/issues/422 MDEyOklzc3VlQ29tbWVudDIxODM1ODM3Mg== jhamman 2443309 2016-05-11T04:24:05Z 2016-05-11T04:24:05Z MEMBER

@MaximilianR has suggested a groupby/rolling-like interface to weighted reductions.

``` Python da.weighted(weights=ds.dim).mean()

or maybe

da.weighted(time=days_per_month(da.time)).mean() ```

I really like this idea, as does @shoyer. I'm going to close my PR in hopes of this becoming reality.

 
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   add average function 84127296

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