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 501996625,MDExOlB1bGxSZXF1ZXN0NTAxOTk2NjI1,4506,closed,0,Decoding year 1 time,23625371," - [x] Closes #4422 - [x] Tests added - [x] Passes `isort . && black . && mypy . && flake8` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [x] Decision on whether to raise a warning or not when padding is performed",2020-10-13T05:38:58Z,2020-10-26T10:15:13Z,2020-10-26T09:50:18Z,2020-10-26T09:50:18Z,adc55ac4d2883e0c6647f3983c3322ca2c690514,,,0,7ef15fe08837e4a21ab41fee14b33032bc28d27c,1597e3a91eaf96626725987d23bbda2a80d2bae7,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/4506, 595205842,MDExOlB1bGxSZXF1ZXN0NTk1MjA1ODQy,5050,closed,0,BUG: Future time decoding,23625371,"- [x] Tests added - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` This identifies (and hopefully soon fixes) an issue with decoding times that are way into the future. Without re-introducing a change made in #4684, the test fails (see https://github.com/pydata/xarray/pull/5050/checks?check_run_id=2136824754). With the change put back in, the test passes (see https://github.com/pydata/xarray/pull/5050/checks?check_run_id=2136892412). @spencerkclark can I ask for your help on this one please? It seems that the removal in #4684 caused this case (which wasn't tested) to break in v0.17 and it's unclear to me where the fix should be (I'm guessing pandas from the discussions in #4684...).",2021-03-18T04:31:31Z,2021-03-18T14:04:09Z,2021-03-18T14:03:59Z,2021-03-18T14:03:59Z,fbd48d4307502f7dbe8afa37b84df59e74407820,,,0,5c75f66ae670c06131a2bc3763d5bf13453b156f,a6f51c680f4e4c3ed5101b9c1111f0b94d28a781,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/5050, 631050680,MDExOlB1bGxSZXF1ZXN0NjMxMDUwNjgw,5264,closed,0,Numpy string coding,23625371,"Fixes handling of numpy string types in coding - [x] Tests added - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` ",2021-05-06T02:35:55Z,2021-12-30T23:40:28Z,2021-12-30T23:39:55Z,2021-12-30T23:39:55Z,f75c3be583db377e1efe0fb90ece11e79bb4297e,,,0,e450cd2db0a9445d4a915fb0144ee6c5a234a65d,f85ec665940291c9ac368f5e1b8a0711e2d9952d,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/5264, 727340089,MDExOlB1bGxSZXF1ZXN0NzI3MzQwMDg5,5767,closed,0,Open mfdataset with long time axis,23625371,"When `open_mfdataset` is used on files which have a long time axis, sometimes one time axis is cast to `pd.Timestamp` whilst the other is cast to `cftime.datetime`. In such a case, xarray thinks the time co-ordinates are different and won't load and combine the files automatically. This PR identifies this issue. I've also put in a hack solution but there must be a better way to handle this edge case. - [x] Tests added - [ ] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst`",2021-09-05T05:18:14Z,2021-09-08T01:06:31Z,2021-09-08T01:06:31Z,,a0709c341cecf324ff88b55c354945a54cb60d7e,,,1,548644aad9bd289258d666a98e668b16a7e45cc6,6a29380008dcd790f9adfbc290affcb767c913b2,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/5767, 729093736,MDExOlB1bGxSZXF1ZXN0NzI5MDkzNzM2,5776,closed,0,Update combine error,23625371,"The update points users in the direction of the `use_cftime` argument, which can solve issues where calendars are decoded into different time classes (see also the discussion in #5767) - [x] Tests added - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` ",2021-09-08T01:05:38Z,2021-09-27T15:14:49Z,2021-09-27T14:43:15Z,2021-09-27T14:43:15Z,19ab40ee401187e8a4b255d1082beb4f36b7ab24,,,0,ec2657bfc1a426aa3559243b02ecf48de6673506,ed94afbd5398e208762bce3341ab7fb0fbc1977d,CONTRIBUTOR,,13221727,https://github.com/pydata/xarray/pull/5776,