pull_requests: 242435203
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| id | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 242435203 | MDExOlB1bGxSZXF1ZXN0MjQyNDM1MjAz | 2653 | closed | 0 | Implement integrate | 6815844 | - [x] Closes #1288 - [x] Tests added - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API I would like to add `integrate`, which is essentially an xarray-version of `np.trapz`. I know there was variety of discussions in #1288, but I think it would be nice to limit us within that numpy provides by `np.trapz`, i.e., 1. only for `trapz` not `rectangle` or `simps` 2. do not care `np.nan` 3. do not support `bounds` Most of them (except for 1) can be solved by combining several existing methods. | 2019-01-05T11:22:10Z | 2019-01-31T17:31:31Z | 2019-01-31T17:30:31Z | 2019-01-31T17:30:31Z | 492303924f4573173029aa9cf5a785413ee9d2ed | 0 | 056111372d4c26cefe7d3bb9a40df86c406ec037 | ede3e0101bae2f45c3f4634a1e1ecb8e2ccd0258 | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/2653 |
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