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