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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
904153867 MDExOlB1bGxSZXF1ZXN0NjU1MzI2MjM4 5390 Improvements to lazy behaviour of `xr.cov()` and `xr.corr()` AndrewILWilliams 56925856 open 0     11 2021-05-27T20:22:08Z 2023-12-07T02:25:56Z   CONTRIBUTOR   0 pydata/xarray/pulls/5390

Following @willirath 's suggestion in #4804, I've changed https://github.com/pydata/xarray/blob/master/xarray/core/computation.py#L1373_L1375 so that Dask doesn't hold all chunks in memory

  • [x] Closes (more of) #4804, specifically this comment
  • [x] Passes pre-commit run --all-files
 
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     xarray 13221727 pull
904149592 MDExOlB1bGxSZXF1ZXN0NjU1MzIyNTU1 5389 ignore this AndrewILWilliams 56925856 closed 0     0 2021-05-27T20:16:22Z 2021-05-27T20:22:43Z 2021-05-27T20:16:45Z CONTRIBUTOR   0 pydata/xarray/pulls/5389

ignore this, I did the branching wrong...

 
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     xarray 13221727 pull
882876804 MDExOlB1bGxSZXF1ZXN0NjM2Mzg1Mjc2 5284 Dask-friendly nan check in xr.corr() and xr.cov() AndrewILWilliams 56925856 closed 0     8 2021-05-09T22:06:03Z 2021-05-27T17:31:07Z 2021-05-27T17:31:07Z CONTRIBUTOR   0 pydata/xarray/pulls/5284

Was reading the discussion here and thought I'd draft a PR to implement some of the changes people suggested. It seems like the main problem is that currently in computation.py, if not valid_values.all() is not a lazy operation, and so can be a bottleneck for very large dataarrays. To get around this, I've lifted some neat tricks from #4559 so that valid_values remains a dask array.

  • [x] Closes #4804
  • [x] Tests added
  • [x] Passes pre-commit run --all-files
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
 
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     xarray 13221727 pull
625064501 MDExOlB1bGxSZXF1ZXN0NDIzMzU0MjIw 4096 Corrcov typo fix AndrewILWilliams 56925856 closed 0     4 2020-05-26T17:44:07Z 2020-05-27T03:09:37Z 2020-05-26T19:03:25Z CONTRIBUTOR   0 pydata/xarray/pulls/4096

Fixing typo in recent PR #4089 

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     xarray 13221727 pull
623751213 MDExOlB1bGxSZXF1ZXN0NDIyMzMzMTg0 4089 xr.cov() and xr.corr() AndrewILWilliams 56925856 closed 0     20 2020-05-23T22:09:07Z 2020-05-26T18:31:31Z 2020-05-25T16:55:33Z CONTRIBUTOR   0 pydata/xarray/pulls/4089

PR for the xr.cov() and xr.corr() functionality which others have been working on. Most code adapted from @r-beer in PR #3550.

TODO: - [x] ~Write a reasonable set of tests, maybe not using pandas as a benchmark? (See https://github.com/pydata/xarray/issues/3784#issuecomment-633145887) Will probably need some help with this~

CHECKLIST: - [x] Closes #3784, #3550, #2652, #1115 - [x] Tests added - [x] Passes isort -rc . && black . && mypy . && flake8 ~(something wrong with docs though??)~ - [x] Fully documented, including whats-new.rst for all changes and api.rst for new API

 
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     xarray 13221727 pull
618828102 MDExOlB1bGxSZXF1ZXN0NDE4NDc4MjY5 4064 Auto chunk AndrewILWilliams 56925856 closed 0     23 2020-05-15T09:25:13Z 2020-05-25T20:38:53Z 2020-05-25T19:23:45Z CONTRIBUTOR   0 pydata/xarray/pulls/4064

Adding chunks='auto' option to Dataset.chunk().

  • [x] Closes #4055
  • [x] Tests added in test_dask.py
  • [x] Passes isort -rc . && black . && mypy . && flake8
  • [x] Updated whats-new.rst for changes
 
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     xarray 13221727 pull

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