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- Improve performance of xarray.corr() on big datasets · 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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759780514 | https://github.com/pydata/xarray/issues/4804#issuecomment-759780514 | https://api.github.com/repos/pydata/xarray/issues/4804 | MDEyOklzc3VlQ29tbWVudDc1OTc4MDUxNA== | mathause 10194086 | 2021-01-13T22:32:47Z | 2021-01-14T01:15:02Z | MEMBER | @aaronspring I had a quick look at your version - do you have an idea why it is is faster? Does yours also work for dask arrays?
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Improve performance of xarray.corr() on big datasets 785329941 | |
759795213 | https://github.com/pydata/xarray/issues/4804#issuecomment-759795213 | https://api.github.com/repos/pydata/xarray/issues/4804 | MDEyOklzc3VlQ29tbWVudDc1OTc5NTIxMw== | mathause 10194086 | 2021-01-13T22:52:19Z | 2021-01-13T22:52:19Z | MEMBER | Another possibility is to replace with |
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Improve performance of xarray.corr() on big datasets 785329941 | |
759745055 | https://github.com/pydata/xarray/issues/4804#issuecomment-759745055 | https://api.github.com/repos/pydata/xarray/issues/4804 | MDEyOklzc3VlQ29tbWVudDc1OTc0NTA1NQ== | mathause 10194086 | 2021-01-13T21:17:34Z | 2021-01-13T21:17:34Z | MEMBER | Yes Other improvements
* I am not sure if ```python if skipna: # 2. Ignore the nans valid_values = da_a.notnull() & da_b.notnull()
else: # shortcut for skipna=False # da_a and da_b are aligned, so the have the same dims and shape axis = da_a.get_axis_num(dim) valid_count = np.take(da_a.shape, axis).prod() - ddof ``` |
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Improve performance of xarray.corr() on big datasets 785329941 |
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