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2 rows where issue = 188996339 and user = 45787861 sorted by updated_at descending

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  • r-beer · 2 ✖

issue 1

  • Feature request: Compute cross-correlation (similar to pd.Series.corr()) of gridded data · 2 ✖

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  • NONE 2
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
555726775 https://github.com/pydata/xarray/issues/1115#issuecomment-555726775 https://api.github.com/repos/pydata/xarray/issues/1115 MDEyOklzc3VlQ29tbWVudDU1NTcyNjc3NQ== r-beer 45787861 2019-11-19T21:36:42Z 2019-11-19T21:36:42Z NONE

@r-beer would be great to finish this off! I think this would be a popular feature. You could take @hrishikeshac 's code (which is close!) and make the final changes.

OK, that means to make #2652 pass, right?

I downloaded the respective branch from @hrishikeshac, and ran the tests locally.

See respective discussion in #2652.

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  Feature request: Compute cross-correlation (similar to pd.Series.corr()) of gridded data 188996339
555376229 https://github.com/pydata/xarray/issues/1115#issuecomment-555376229 https://api.github.com/repos/pydata/xarray/issues/1115 MDEyOklzc3VlQ29tbWVudDU1NTM3NjIyOQ== r-beer 45787861 2019-11-19T07:44:23Z 2019-11-19T07:45:26Z NONE

I am also highly interested in this function and in contributing to xarray in general!

If I understand correctly, https://github.com/pydata/xarray/pull/2350 and https://github.com/pydata/xarray/pull/2652 do not solve this PR, do they?

How can I help you finishing these PRs?

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  Feature request: Compute cross-correlation (similar to pd.Series.corr()) of gridded data 188996339

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