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- cov() and corr() · 11 ✖
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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633652366 | https://github.com/pydata/xarray/pull/2652#issuecomment-633652366 | https://api.github.com/repos/pydata/xarray/issues/2652 | MDEyOklzc3VlQ29tbWVudDYzMzY1MjM2Ng== | max-sixty 5635139 | 2020-05-25T16:57:28Z | 2020-05-25T16:57:28Z | MEMBER | @hrishikeshac in case you come back to see this: thank you for taking it so far; your code was helpful to eventually getting this feature in. And we'd of course appreciate any additional contributions. |
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cov() and corr() 396102183 | |
556046073 | https://github.com/pydata/xarray/pull/2652#issuecomment-556046073 | https://api.github.com/repos/pydata/xarray/issues/2652 | MDEyOklzc3VlQ29tbWVudDU1NjA0NjA3Mw== | max-sixty 5635139 | 2019-11-20T15:11:27Z | 2019-11-20T15:11:27Z | MEMBER | @r-beer great—you were right to start your own PR |
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cov() and corr() 396102183 | |
555756460 | https://github.com/pydata/xarray/pull/2652#issuecomment-555756460 | https://api.github.com/repos/pydata/xarray/issues/2652 | MDEyOklzc3VlQ29tbWVudDU1NTc1NjQ2MA== | max-sixty 5635139 | 2019-11-19T23:02:37Z | 2019-11-19T23:02:37Z | MEMBER | Yeah those are pretty normal. Your suggestions look right: you can keep both on both sets and eliminate any duplicate imports in the first, (FYI I edited your comment so it displayed properly, seems you need a line break after |
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cov() and corr() 396102183 | |
555738102 | https://github.com/pydata/xarray/pull/2652#issuecomment-555738102 | https://api.github.com/repos/pydata/xarray/issues/2652 | MDEyOklzc3VlQ29tbWVudDU1NTczODEwMg== | max-sixty 5635139 | 2019-11-19T22:06:49Z | 2019-11-19T22:06:49Z | MEMBER | Yes 100%! Let me know if that doesn't work! |
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cov() and corr() 396102183 | |
555733366 | https://github.com/pydata/xarray/pull/2652#issuecomment-555733366 | https://api.github.com/repos/pydata/xarray/issues/2652 | MDEyOklzc3VlQ29tbWVudDU1NTczMzM2Ng== | max-sixty 5635139 | 2019-11-19T21:54:26Z | 2019-11-19T21:54:26Z | MEMBER | Great @r-beer , we can be helpful in getting you up & running Given this branch has diverged from master, I would make your own fork and merge in master; looks like you'll have some minor conflicts. (more details in our contributing.rst docs, or post here if confused). You can then open up your own draft PR. Re the tests: pytest should print a list of the tests that failed and their stack traces, do you not see anything? |
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cov() and corr() 396102183 | |
452014148 | https://github.com/pydata/xarray/pull/2652#issuecomment-452014148 | https://api.github.com/repos/pydata/xarray/issues/2652 | MDEyOklzc3VlQ29tbWVudDQ1MjAxNDE0OA== | shoyer 1217238 | 2019-01-07T17:29:45Z | 2019-01-07T17:29:45Z | MEMBER | I agree that the case for DataArray.dot is questionable. It sort of makes sense because numpy and pandas both have it as a method, but the @ operator is a really a cleaner way to express this now that we're Python 3 only. (Speaking of which, why don't we support @ in xarray yet? :).) On Mon, Jan 7, 2019 at 1:43 AM Keisuke Fujii notifications@github.com wrote:
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cov() and corr() 396102183 | |
451877705 | https://github.com/pydata/xarray/pull/2652#issuecomment-451877705 | https://api.github.com/repos/pydata/xarray/issues/2652 | MDEyOklzc3VlQ29tbWVudDQ1MTg3NzcwNQ== | fujiisoup 6815844 | 2019-01-07T09:43:17Z | 2019-01-07T09:43:17Z | MEMBER | @max-sixty
I am not sure whether |
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cov() and corr() 396102183 | |
451840629 | https://github.com/pydata/xarray/pull/2652#issuecomment-451840629 | https://api.github.com/repos/pydata/xarray/issues/2652 | MDEyOklzc3VlQ29tbWVudDQ1MTg0MDYyOQ== | max-sixty 5635139 | 2019-01-07T07:04:46Z | 2019-01-07T07:04:46Z | MEMBER |
We should be more concerned with correctness than consistency - but is having |
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cov() and corr() 396102183 | |
451703221 | https://github.com/pydata/xarray/pull/2652#issuecomment-451703221 | https://api.github.com/repos/pydata/xarray/issues/2652 | MDEyOklzc3VlQ29tbWVudDQ1MTcwMzIyMQ== | shoyer 1217238 | 2019-01-06T00:05:49Z | 2019-01-06T00:05:49Z | MEMBER | I also think making this a function is probably a good idea, even though it's different from pandas. One question: how should these functions align their arguments? Recall that xarray does an |
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cov() and corr() 396102183 | |
451661466 | https://github.com/pydata/xarray/pull/2652#issuecomment-451661466 | https://api.github.com/repos/pydata/xarray/issues/2652 | MDEyOklzc3VlQ29tbWVudDQ1MTY2MTQ2Ng== | dcherian 2448579 | 2019-01-05T14:44:28Z | 2019-01-05T14:44:28Z | MEMBER | I agree with @fujisoup |
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cov() and corr() 396102183 | |
451658613 | https://github.com/pydata/xarray/pull/2652#issuecomment-451658613 | https://api.github.com/repos/pydata/xarray/issues/2652 | MDEyOklzc3VlQ29tbWVudDQ1MTY1ODYxMw== | fujiisoup 6815844 | 2019-01-05T14:07:30Z | 2019-01-05T14:07:30Z | MEMBER | I am a little worrying that users could misunderstand |
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cov() and corr() 396102183 |
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