pull_requests: 671669654

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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
671669654 MDExOlB1bGxSZXF1ZXN0NjcxNjY5NjU0 5476 closed 0 Add coarsen.construct 2448579 <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #5454 - [x] Tests added - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [x] New functions/methods are listed in `api.rst` Builds on #5474 Here's an example ``` python import numpy as np import xarray as xr ds = xr.Dataset( { "vart": ("time", np.arange(48)), "varx": ("x", np.arange(10)), "vartx": (("x", "time"), np.arange(480).reshape(10, 48)), "vary": ("y", np.arange(12)), }, coords={"time": np.arange(48), "y": np.arange(12)}, ) ds.coarsen(time=12, x=5, boundary="trim").construct( {"time": ("year", "month"), "x": ("x", "x_reshaped")} ) ``` What do people think of this syntax: `{"time": ("year", "month"), "x": ("x", "x_reshaped")`? Should we instead do `{"time": "month", "x": "x_reshaped"}` and have the user later rename the `x` or `time` dimension if they want? 2021-06-16T16:42:15Z 2021-07-23T20:26:38Z 2021-06-24T16:55:25Z 2021-06-24T16:55:25Z 8a338eebd7d8a91e9e08bb489344075b8edb4eb4     0 56d8c368591ed9a177f934095b284aa1a5d6ac9f eea76733770be03e78a0834803291659136bca31 MEMBER   13221727 https://github.com/pydata/xarray/pull/5476  

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