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  • fujiisoup · 3 ✖

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  • Added Coarsen · 3 ✖

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449158415 https://github.com/pydata/xarray/pull/2612#issuecomment-449158415 https://api.github.com/repos/pydata/xarray/issues/2612 MDEyOklzc3VlQ29tbWVudDQ0OTE1ODQxNQ== fujiisoup 6815844 2018-12-20T22:38:19Z 2018-12-20T22:39:20Z MEMBER

During writing the test codes, I realized that the default boundary='exact' is a little annoying. It would be rare that the length of the data is exactly a multiple of the window size; we almost always need to type bounary='trim' or the other. I personally think that boundary='pad' is also a good default, as it is a similar behaviour to rolling.

The down side of this is that it can make a uniformly spaced data an inhomogeneously spaced one. It is something what users may not expect. (probably boundary='exact is safer)

 
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   Added Coarsen 391477755
449142367 https://github.com/pydata/xarray/pull/2612#issuecomment-449142367 https://api.github.com/repos/pydata/xarray/issues/2612 MDEyOklzc3VlQ29tbWVudDQ0OTE0MjM2Nw== fujiisoup 6815844 2018-12-20T21:33:22Z 2018-12-20T21:33:22Z MEMBER

Updated. The main change is 1. API updated to python dataset.coarsen(self, dim=None, boundary='exact', side='left', coordinate_func='mean', **dim_kwargs): based on comments.

  1. nanmean for DateTime was implemented. This is a kind of backward incompatible. Previously, we raised an Error if mean is applied to a datetime array.
 
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   Added Coarsen 391477755
447736226 https://github.com/pydata/xarray/pull/2612#issuecomment-447736226 https://api.github.com/repos/pydata/xarray/issues/2612 MDEyOklzc3VlQ29tbWVudDQ0NzczNjIyNg== fujiisoup 6815844 2018-12-17T06:27:35Z 2018-12-17T06:27:35Z MEMBER

@dcherian Thanks.

(da.time - da.time[0]).mean() + da.time[0] I would add mean for datetime-arrays.

 
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   Added Coarsen 391477755

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