id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type 484863660,MDExOlB1bGxSZXF1ZXN0MzEwNjQxMzE0,3262,[WIP] Implement 1D to ND interpolation,1386642,closed,0,,,9,2019-08-24T21:23:21Z,2020-12-17T01:29:12Z,2020-12-17T01:29:12Z,CONTRIBUTOR,,0,pydata/xarray/pulls/3262," - [x] Closes #3252 - [ ] Tests added - [ ] Passes `black . && mypy . && flake8` - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/3262/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 636611699,MDExOlB1bGxSZXF1ZXN0NDMyNzU0MDQ5,4144,Improve typehints of xr.Dataset.__getitem__,1386642,closed,0,,,10,2020-06-10T23:33:41Z,2020-06-17T01:41:27Z,2020-06-15T11:25:53Z,CONTRIBUTOR,,0,pydata/xarray/pulls/4144,"To resolve some common type-related errors, this PR adds some overload type hints to `Dataset.__getitem__`. Now mypy can correctly infer that hashable inputs return DataArrays. - [x] Closes #4125 - [x] Passes `isort -rc . && black . && mypy . && flake8` ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/4144/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 261131958,MDExOlB1bGxSZXF1ZXN0MTQzNTExMTA3,1597,Add methods for combining variables of differing dimensionality,1386642,closed,0,,,46,2017-09-27T22:01:57Z,2019-07-05T15:59:51Z,2019-07-05T00:32:51Z,CONTRIBUTOR,,0,pydata/xarray/pulls/1597," - [x] Closes #1317 - [x] Tests added / passed - [x] Passes ``git diff upstream/master | flake8 --diff`` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API While working on #1317, I settled upon combining `stack` and `to_array` to create two dimensional numpy arrays given an xarray Dataset. Unfortunately, `to_array` automatically broadcasts the variables of dataset, which is not always a desirable behavior. For instance, I was trying to combine precipitation (a horizontal field) and temperature (a 3D field) into one array. This PR enables this by adding two new methods to xarray: - `Dataset.stack_cat`, and - `DataArray.unstack_cat`. `stack_cat` uses `stack`, `expand_dims`, and `concat` to reshape a Dataset into a Dataarray with a helpful MultiIndex, and `unstack_cat` reverses the process. I implemented this functionality as a new method since `to_array` is such a clean method already. I really appreciate your thoughts on this. Thanks! cc @jhamman @shoyer ","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/1597/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull 294089233,MDExOlB1bGxSZXF1ZXN0MTY2OTQ5Nzcw,1885,Raise when pcolormesh coordinate is not sorted,1386642,closed,0,,,18,2018-02-03T06:37:34Z,2018-02-18T19:26:36Z,2018-02-18T19:06:31Z,CONTRIBUTOR,,0,pydata/xarray/pulls/1885," - [x] Closes #1852 (remove if there is no corresponding issue, which should only be the case for minor changes) - [x] Tests added (for all bug fixes or enhancements) - [x] Tests passed (for all non-documentation changes) I added a simple warning to `_infer_interval_breaks` in `xarray/plot/plot.py`. The warning does not currently say the name of the coordinate, because that would requiring introducing a new function or potentially passing a name argument, which seems overly complicated for such a small dit. Hopefully, this isn't a problem because the user can easily figure out which coordinate is not sorted by process of elimination.","{""url"": ""https://api.github.com/repos/pydata/xarray/issues/1885/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,,13221727,pull