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- Implement rolling_exp for dask arrays · 3 ✖
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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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 | ||
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 | |
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 |
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