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- Implement rolling_exp for dask arrays · 7 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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702363119 | https://github.com/pydata/xarray/issues/4474#issuecomment-702363119 | https://api.github.com/repos/pydata/xarray/issues/4474 | MDEyOklzc3VlQ29tbWVudDcwMjM2MzExOQ== | max-sixty 5635139 | 2020-10-01T19:55:11Z | 2020-10-01T19:55:11Z | MEMBER | Thanks @heerad . Looks like we're doing it with overlaps rather than any rolling-specific algo. Agree that approach won't work with exp. OTOH your suggestion could be generalized to improve performance in all rolling operations, depending on the relative costs of sending the underlying overlapping data vs. sending only the edges of the numerator / denominator and doing another pass. If anyone has experience with similar operations, feel free to offer suggestions. |
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Implement rolling_exp for dask arrays 712052219 | |
702346076 | https://github.com/pydata/xarray/issues/4474#issuecomment-702346076 | https://api.github.com/repos/pydata/xarray/issues/4474 | MDEyOklzc3VlQ29tbWVudDcwMjM0NjA3Ng== | heerad 2560426 | 2020-10-01T19:20:50Z | 2020-10-01T19:23:31Z | NONE | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Implement rolling_exp for dask arrays 712052219 | ||
702340842 | https://github.com/pydata/xarray/issues/4474#issuecomment-702340842 | https://api.github.com/repos/pydata/xarray/issues/4474 | MDEyOklzc3VlQ29tbWVudDcwMjM0MDg0Mg== | max-sixty 5635139 | 2020-10-01T19:10:24Z | 2020-10-01T19:10:42Z | MEMBER | OK, I don't see references there to dask, but thanks for letting me know. Do you know where the code for rolling over chunks is? |
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Implement rolling_exp for dask arrays 712052219 | |
702331156 | https://github.com/pydata/xarray/issues/4474#issuecomment-702331156 | https://api.github.com/repos/pydata/xarray/issues/4474 | MDEyOklzc3VlQ29tbWVudDcwMjMzMTE1Ng== | heerad 2560426 | 2020-10-01T18:52:18Z | 2020-10-01T18:52:18Z | NONE | Yes, see http://xarray.pydata.org/en/stable/computation.html#rolling-window-operations.
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Implement rolling_exp for dask arrays 712052219 | |
702327698 | https://github.com/pydata/xarray/issues/4474#issuecomment-702327698 | https://api.github.com/repos/pydata/xarray/issues/4474 | MDEyOklzc3VlQ29tbWVudDcwMjMyNzY5OA== | max-sixty 5635139 | 2020-10-01T18:45:40Z | 2020-10-01T18:45:40Z | MEMBER | I have less experience with dask than others — are simple rolling means already implemented across chunks? That would be a much easier place to start... |
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Implement rolling_exp for dask arrays 712052219 | |
702181324 | https://github.com/pydata/xarray/issues/4474#issuecomment-702181324 | https://api.github.com/repos/pydata/xarray/issues/4474 | MDEyOklzc3VlQ29tbWVudDcwMjE4MTMyNA== | heerad 2560426 | 2020-10-01T14:39:01Z | 2020-10-01T14:39:01Z | NONE | Great! This will be a common use-case for me, and I imagine others who are doing any sort of time series computation on large datasets. |
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Implement rolling_exp for dask arrays 712052219 | |
701648525 | https://github.com/pydata/xarray/issues/4474#issuecomment-701648525 | https://api.github.com/repos/pydata/xarray/issues/4474 | MDEyOklzc3VlQ29tbWVudDcwMTY0ODUyNQ== | max-sixty 5635139 | 2020-09-30T21:11:30Z | 2020-09-30T21:11:30Z | MEMBER | I think we'd be open to this |
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Implement rolling_exp for dask arrays 712052219 |
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