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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
220706493 MDExOlB1bGxSZXF1ZXN0MjIwNzA2NDkz 2465 closed 0 Add python_requires to setup.py djhoese 1828519 This should assist users using PyPI/pip to install xarray when xarray drops python 2.7 support. The `python_requires` argument is described here: https://packaging.python.org/guides/distributing-packages-using-setuptools/#python-requires Basically, it says what versions of python your package supports. When xarray drops python 2 support and this kwarg gets update it should stop people on python 2 from getting the wrong package. - [x] Tests passed (for all non-documentation changes) 2018-10-05T13:43:06Z 2018-10-06T07:49:08Z 2018-10-06T07:48:58Z 2018-10-06T07:48:58Z 4a7a103204989af7e2b6bc97a4109d81beebd34c     0 a771c911a07ff04058d3cc68fa47ab79176eeabd 3cef8d730d5bbd699a393fa15266064ebb9849e2 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/2465  
247899648 MDExOlB1bGxSZXF1ZXN0MjQ3ODk5NjQ4 2715 closed 0 Fix CRS being WKT instead of PROJ.4 djhoese 1828519 See https://github.com/mapbox/rasterio/blob/master/CHANGES.txt#L7 for the change in rasterio 1.0.14 and my conda-forge issue where I discovered this: https://github.com/conda-forge/gdal-feedstock/issues/262 This was put in a bugfix (micro version number) release of rasterio which made it harder to discover. @sgillies @snowman2 I saw that you brought this up and how it affected xarray (https://rasterio.groups.io/g/dev/message/68). If this pull request is a duplicate of a fix one of you made let me know. To xarray devs, if I need to make any other changes (whats-new?) also let me know. - [ ] Closes #xxxx - [ ] Tests added - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 2019-01-26T16:46:11Z 2019-03-12T18:57:44Z 2019-02-06T16:56:07Z 2019-02-06T16:56:06Z 0c73a380745c4792ab440eb020f78f203897abe5     0 4e827b72cc8a0e2adbac650a2b65ce4953baff39 e677b7a0aa344faee3eb407e63422038c2029399 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/2715  
286515468 MDExOlB1bGxSZXF1ZXN0Mjg2NTE1NDY4 3006 closed 0 Fix 'to_masked_array' computing dask arrays twice djhoese 1828519 I ran in to this issue when using `imshow` on a dask-based `DataArray` and dask's `ProgressBar()` context manager. I noticed that when using `my_data_arr.plot.imshow` the dask array was being computed twice. This PR fixes that. Suggestions for tests and documenting this fix are welcome. - [ ] Closes #xxxx - [ ] Tests added - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 2019-06-10T01:33:08Z 2019-06-25T16:56:19Z 2019-06-10T13:25:58Z 2019-06-10T13:25:58Z adbd59a0498cce298d88d9383837c968bebae538     0 c7a81b98bc556569a15ce01aedbd8524ccc06c08 44011c9857b249b65b5f403d2791e198e3d67a87 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/3006  
306491733 MDExOlB1bGxSZXF1ZXN0MzA2NDkxNzMz 3209 closed 0 Add note about accessor instance creation djhoese 1828519 This is an attempt at clarifying accessor docs to help with the confusion I had in #3205. I'm not sure how many other xarray doc pages use `.. note::` but it seemed useable here. I'm not sure this is worth the explanation or if it is worded the best, but thought this could start the discussion. - [ ] Closes #3205 - [ ] Tests added - [ ] Passes `black . && mypy . && flake8` - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 2019-08-12T13:17:13Z 2019-08-14T13:08:54Z 2019-08-14T05:33:49Z 2019-08-14T05:33:48Z 2fdcbb6feccb01a97b8b51160b81e238486fff00     0 14dca12191e7ab82a74599e5ae56fbd078a13f0c b0df4d901ad7625b0ffabc8d85775efaca9d2c2f CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/3209  
1386907083 PR_kwDOAMm_X85SqoXL 7905 open 0 Add '.hdf' extension to 'netcdf4' backend djhoese 1828519 I'm helping @joleenf debug an issue where some old code that uses `xr.open_dataset` no longer works since the introduction of engines or at least as far as we can tell. The main issue is that she's using code that assumes the NetCDF4 C library was compiled with HDF4 support (ex. conda-forge builds with this functionality enabled). So in this case `netCDF4.Dataset("my_file.hdf")` can actually read the HDF4 file through the NetCDF4 C library. However, with `xr.open_dataset("my_file.hdf")` will fail because xarray (or rather the netcdf4 engine) doesn't know that it could potentially read HDF4 files. This PR adds the `.hdf` extension to the 'netcdf4' engine to allow this to be automatic without needing `engine='netcdf4'` to be specified. What do people think? I didn't want to put any more work into this until others weighed in. - [ ] Closes #xxxx - [ ] Tests added - [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [ ] New functions/methods are listed in `api.rst` 2023-06-10T00:45:15Z 2023-06-14T15:25:08Z     3df1dc60eb0250a11655e15289454b06ba29f86d     0 9abc5ba691bd4200cf1561d31cfd78d6434ce684 3459e6fa3c41b9e7b796800682bcf1408467cf1e CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/7905  
1824051470 PR_kwDOAMm_X85suNEO 8946 open 0 Fix upcasting with python builtin numbers and numpy 2 djhoese 1828519 See #8402 for more discussion. Bottom line is that numpy 2 changes the rules for casting between two inputs. Due to this and xarray's preference for promoting python scalars to 0d arrays (scalar arrays), xarray objects are being upcast to higher data types when they previously didn't. I'm mainly opening this PR for further and more detailed discussion. CC @dcherian - [ ] Closes #8402 - [ ] Tests added - [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [ ] New functions/methods are listed in `api.rst` 2024-04-15T20:07:42Z 2024-04-29T12:38:55Z     9db1a51b4d15279fb91d1f8802a1139ee5e76c18     0 5b4384fe279abc8eb0b8a4b18c2696e82c59285a 9eb180b7b3df869c21518a17c6fa9eb456551d21 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/8946  

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