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  • DataArray.rolling() does not preserve chunksizes in some cases · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
460174589 https://github.com/pydata/xarray/issues/2531#issuecomment-460174589 https://api.github.com/repos/pydata/xarray/issues/2531 MDEyOklzc3VlQ29tbWVudDQ2MDE3NDU4OQ== mangecoeur 743508 2019-02-04T09:06:14Z 2019-02-04T09:06:43Z CONTRIBUTOR

Perhaps related - I was running into MemoryErrors with a large array and also noticed that chunksizes were not respected (basically xarray tried to process the array in one go) - but it turned out that i'd forgotten to install both bottleneck and numexpr and after installing both (just installing bottleneck was not enough), everything worked as expected.

 
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   DataArray.rolling() does not preserve chunksizes in some cases 376154741
434843563 https://github.com/pydata/xarray/issues/2531#issuecomment-434843563 https://api.github.com/repos/pydata/xarray/issues/2531 MDEyOklzc3VlQ29tbWVudDQzNDg0MzU2Mw== cchwala 102827 2018-10-31T20:52:49Z 2018-10-31T20:52:49Z CONTRIBUTOR

The cause has been explained by @fujiisoup here https://github.com/pydata/xarray/issues/2514#issuecomment-433528586

Nice catch!

For some historical reasons, mean and some reduction method uses bottleneck as default, while count does not.

mean goes through this function

xarray/xarray/core/dask_array_ops.py

Line 23 in b622c5e def dask_rolling_wrapper(moving_func, a, window, min_count=None, axis=-1):

It looks there is another but for this function.

 
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   DataArray.rolling() does not preserve chunksizes in some cases 376154741

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