issue_comments: 162030626

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https://github.com/pydata/xarray/pull/668#issuecomment-162030626 https://api.github.com/repos/pydata/xarray/issues/668 162030626 MDEyOklzc3VlQ29tbWVudDE2MjAzMDYyNg== 1217238 2015-12-04T17:37:26Z 2015-12-04T17:37:26Z MEMBER

I wanted consistency between reduce, _bottleneck_reduce and iter.

Agreed, this would be nice. But if min_count=0, this won't be the case, because you will average over partial windows at the start of the rolling iteration. For example, you apply the aggregation function to windows of size [1, 2, 3, 3, 3, 3]. And the labels are also not consistent.

 
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