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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 |
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2240600694 | PR_kwDOAMm_X85shCWz | 8933 | Use array_api compliant dtype | Illviljan 14371165 | open | 0 | 0 | 2024-04-12T17:30:51Z | 2024-04-30T03:57:57Z | MEMBER | 1 | pydata/xarray/pulls/8933 |
Notes: * For duckarrays, use _dtype[_generic] * For actual np.ndarrays, use np.dtype[np.generic] * np.dtype is too specific in general and it's probably not needed in most of their array_api functions. * _DTypeBase-class in np? * Mixing dtypes from np and xp is discouraged: https://github.com/data-apis/array-api/issues/582 * Using asarray seems to be the recommended way. |
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2232134629 | PR_kwDOAMm_X85sD5gg | 8922 | Add typing to some functions in indexing.py | Illviljan 14371165 | closed | 0 | 0 | 2024-04-08T21:45:30Z | 2024-04-10T18:05:52Z | 2024-04-10T18:05:52Z | MEMBER | 0 | pydata/xarray/pulls/8922 | A drive-by PR as I was trying to figure out how these functions works. |
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2215113392 | PR_kwDOAMm_X85rJ3wR | 8889 | Add typing to test_plot.py | Illviljan 14371165 | closed | 0 | 0 | 2024-03-29T10:49:39Z | 2024-04-05T16:42:27Z | 2024-04-05T16:42:27Z | MEMBER | 0 | pydata/xarray/pulls/8889 | Enforce typing on all tests in |
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2184947713 | PR_kwDOAMm_X85pjnvS | 8831 | Fix datetime in colorbar | Illviljan 14371165 | open | 0 | 0 | 2024-03-13T21:48:44Z | 2024-03-27T06:39:13Z | MEMBER | 1 | pydata/xarray/pulls/8831 |
Before:
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1803788143 | PR_kwDOAMm_X85VdjgR | 7986 | Add new what's new section | Illviljan 14371165 | closed | 0 | 0 | 2023-07-13T21:29:01Z | 2024-03-13T21:43:09Z | 2023-07-13T21:30:07Z | MEMBER | 0 | pydata/xarray/pulls/7986 | Add a new what's new section |
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1975173557 | PR_kwDOAMm_X85ee4vk | 8406 | Add getitem to array protocol | Illviljan 14371165 | closed | 0 | 0 | 2023-11-02T23:02:48Z | 2023-12-12T20:54:00Z | 2023-12-12T20:44:11Z | MEMBER | 0 | pydata/xarray/pulls/8406 | Currently using getitem is not allowed for either a arrayfunction or arrayapi according to the type hints. Add support for it. Issues found in #8344 as more and more typing was added. But getitem is used in main as well which should fail, but manages to pass due to lack of type hints: https://github.com/pydata/xarray/blob/9acc411bc7e99e61269eadf77e96b9ddd40aec9e/xarray/namedarray/core.py#L792 Notes
* mypy will now complain for https://github.com/numpy/numpy/pull/25022 https://github.com/data-apis/array-api/pull/687 |
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1966953477 | PR_kwDOAMm_X85eC9NL | 8391 | Add duckarray test for np.array_api | Illviljan 14371165 | closed | 0 | 0 | 2023-10-29T11:37:29Z | 2023-12-06T22:30:04Z | 2023-10-31T03:05:23Z | MEMBER | 0 | pydata/xarray/pulls/8391 | Check if the Array object from numpy.array_api is a valid duckarray. If it isn't we're likely doing something wrong. Comments:
* array_api standard does not specify a Seen in #8344 |
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1971126897 | PR_kwDOAMm_X85eRLVH | 8396 | Test masked array | Illviljan 14371165 | closed | 0 | 0 | 2023-10-31T19:00:35Z | 2023-11-03T15:07:35Z | 2023-11-03T15:07:34Z | MEMBER | 0 | pydata/xarray/pulls/8396 | Add a test for masked array in order to make sure it works. Be consistent and use the shapetype dtype generics style instead. Starting to think it's easier to just stick to one style of typing, even though the other option might be a little shorter. |
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1971001432 | PR_kwDOAMm_X85eQvnS | 8395 | Correct typing for _sparsearray | Illviljan 14371165 | closed | 0 | 0 | 2023-10-31T17:50:47Z | 2023-10-31T19:28:49Z | 2023-10-31T19:28:49Z | MEMBER | 0 | pydata/xarray/pulls/8395 | Use _DType_co instead, otherwise the dtype wont be correctly passed along. Quick follow up to #8387. |
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1966603230 | PR_kwDOAMm_X85eB5WY | 8387 | Fix sparse typing | Illviljan 14371165 | closed | 0 | 0 | 2023-10-28T13:50:08Z | 2023-10-31T17:43:58Z | 2023-10-31T17:43:57Z | MEMBER | 0 | pydata/xarray/pulls/8387 | Fixes the following pyright error on main:
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1966902041 | PR_kwDOAMm_X85eCzIK | 8390 | Remove duplicated navigation_with_keys in docs config | Illviljan 14371165 | closed | 0 | 0 | 2023-10-29T08:52:56Z | 2023-10-29T11:08:33Z | 2023-10-29T11:08:33Z | MEMBER | 0 | pydata/xarray/pulls/8390 | Fixes: ``` Running Sphinx v6.2.1 Traceback (most recent call last): File "/home/docs/checkouts/readthedocs.org/user_builds/xray/conda/8387/lib/python3.10/site-packages/sphinx/config.py", line 353, in eval_config_file code = compile(f.read(), filename.encode(fs_encoding), 'exec') File "/home/docs/checkouts/readthedocs.org/user_builds/xray/checkouts/8387/doc/conf.py", line 240 navigation_with_keys=False, ^^^^^^^^^^^^^^^^^^^^^^^^^^ SyntaxError: keyword argument repeated: navigation_with_keys The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/home/docs/checkouts/readthedocs.org/user_builds/xray/conda/8387/lib/python3.10/site-packages/sphinx/cmd/build.py", line 280, in build_main app = Sphinx(args.sourcedir, args.confdir, args.outputdir, File "/home/docs/checkouts/readthedocs.org/user_builds/xray/conda/8387/lib/python3.10/site-packages/sphinx/application.py", line 207, in init self.config = Config.read(self.confdir, confoverrides or {}, self.tags) File "/home/docs/checkouts/readthedocs.org/user_builds/xray/conda/8387/lib/python3.10/site-packages/sphinx/config.py", line 177, in read namespace = eval_config_file(filename, tags) File "/home/docs/checkouts/readthedocs.org/user_builds/xray/conda/8387/lib/python3.10/site-packages/sphinx/config.py", line 357, in eval_config_file raise ConfigError(msg % err) from err sphinx.errors.ConfigError: There is a syntax error in your configuration file: keyword argument repeated: navigation_with_keys (conf.py, line 240) Configuration error: There is a syntax error in your configuration file: keyword argument repeated: navigation_with_keys (conf.py, line 240) Command time: 0s Return: 2 ``` Seen in #8387 |
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1962432308 | PR_kwDOAMm_X85dzwDL | 8376 | Add chunkedduckarray to _typing | Illviljan 14371165 | closed | 0 | 0 | 2023-10-25T23:09:46Z | 2023-10-26T19:10:41Z | 2023-10-26T01:13:54Z | MEMBER | 0 | pydata/xarray/pulls/8376 | Add more chunkedarray typing options. Also clean up some ideas that didn't work out. Using TypeVar for arrays for example has turned out to not work that great because of the very common dtype changes. If you want to check if an ArrayLike is a chunked array:
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1957838652 | PR_kwDOAMm_X85dkPUb | 8362 | NamedArray.ndim can only be int | Illviljan 14371165 | closed | 0 | 0 | 2023-10-23T19:02:48Z | 2023-10-23T19:04:14Z | 2023-10-23T19:04:14Z | MEMBER | 0 | pydata/xarray/pulls/8362 | ndim is usually defined as Reference: https://data-apis.org/array-api/latest/API_specification/generated/array_api.array.ndim.html |
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1955651132 | PR_kwDOAMm_X85dc-58 | 8355 | Use namedarray repr in _array_api docstrings | Illviljan 14371165 | closed | 0 | 0 | 2023-10-21T20:20:31Z | 2023-10-22T04:50:30Z | 2023-10-22T00:52:03Z | MEMBER | 0 | pydata/xarray/pulls/8355 | Use the normal repr now that NamedArray has one. Seen in #8344. |
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1955654332 | PR_kwDOAMm_X85dc_gm | 8356 | Remove unnecessary for loop when using get_axis_num | Illviljan 14371165 | closed | 0 | 0 | 2023-10-21T20:33:37Z | 2023-10-22T04:50:16Z | 2023-10-22T00:49:39Z | MEMBER | 0 | pydata/xarray/pulls/8356 | Noticed an unnecessary for loop when playing around with |
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1954723109 | PR_kwDOAMm_X85dZ9lj | 8352 | Add better ASV test cases for open_dataset | Illviljan 14371165 | closed | 0 | 0 | 2023-10-20T17:12:29Z | 2023-10-20T18:34:36Z | 2023-10-20T18:34:35Z | MEMBER | 0 | pydata/xarray/pulls/8352 | With more realistic array sizes maybe the improvements in #8339 should be noticeable. |
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1946069214 | PR_kwDOAMm_X85c8hTY | 8320 | Remove redundant check in IndexVariable | Illviljan 14371165 | closed | 0 | 0 | 2023-10-16T20:50:19Z | 2023-10-17T16:41:32Z | 2023-10-17T16:41:32Z | MEMBER | 0 | pydata/xarray/pulls/8320 | Reverts a few things from #8313. An IndexVariable can only have PandasIndexAdapter as self._data, which makes the for MemoryCachedArray unnecessary. Seen in #8294. |
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1944067022 | PR_kwDOAMm_X85c1r1z | 8313 | Reverse type checks for better type inheritance | Illviljan 14371165 | closed | 0 | 0 | 2023-10-15T21:38:59Z | 2023-10-16T06:30:55Z | 2023-10-16T06:30:55Z | MEMBER | 0 | pydata/xarray/pulls/8313 | Seen in #8294. It's usually better to switch if-checks so that the wider type is defined first. Especially when relying on the implicit type casting like we do here. |
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1931223548 | PR_kwDOAMm_X85cKiKo | 8280 | Remove if condition to trigger mypy | Illviljan 14371165 | closed | 0 | 0 | 2023-10-07T06:49:18Z | 2023-10-08T00:49:34Z | 2023-10-08T00:49:34Z | MEMBER | 0 | pydata/xarray/pulls/8280 | This seems to be fixed according to #6551. |
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1903465587 | PR_kwDOAMm_X85atB8W | 8211 | Add T_DuckArray to DataArray | Illviljan 14371165 | open | 0 | 0 | 2023-09-19T17:48:11Z | 2023-10-03T17:45:40Z | MEMBER | 1 | pydata/xarray/pulls/8211 |
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1903622707 | PR_kwDOAMm_X85atj9b | 8214 | Bind T_DuckArray to Variable | Illviljan 14371165 | open | 0 | 0 | 2023-09-19T19:42:34Z | 2023-10-03T17:40:26Z | MEMBER | 1 | pydata/xarray/pulls/8214 |
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1916447957 | PR_kwDOAMm_X85bYxsO | 8243 | Add type hints to maybe_promote in dtypes.py | Illviljan 14371165 | closed | 0 | 0 | 2023-09-27T22:53:34Z | 2023-09-28T19:39:56Z | 2023-09-28T19:39:55Z | MEMBER | 0 | pydata/xarray/pulls/8243 | Reducing type errors in #8241 |
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1909448043 | PR_kwDOAMm_X85bBQuc | 8226 | Add typing to functions related to data_vars | Illviljan 14371165 | closed | 0 | 0 | 2023-09-22T19:54:22Z | 2023-09-24T14:03:55Z | 2023-09-24T14:03:55Z | MEMBER | 0 | pydata/xarray/pulls/8226 | A smaller PR related to trying to pass T_DuckArray's along xarray's different classes. |
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1890927857 | PR_kwDOAMm_X85aC50x | 8172 | Don't try to sort hashable, map to string | Illviljan 14371165 | closed | 0 | 0 | 2023-09-11T17:10:22Z | 2023-09-11T18:09:15Z | 2023-09-11T18:09:15Z | MEMBER | 0 | pydata/xarray/pulls/8172 | Fixes the mypy error we're seeing in the CI at the moment:
Can't sort Hashables apparently. |
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1797533374 | PR_kwDOAMm_X85VIIy4 | 7975 | Test using asv compare | Illviljan 14371165 | open | 0 | 0 | 2023-07-10T20:27:31Z | 2023-07-13T21:47:05Z | MEMBER | 1 | pydata/xarray/pulls/7975 |
References: https://github.com/cvxpy/cvxpy/pull/1810 |
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1797246423 | PR_kwDOAMm_X85VHLJ1 | 7972 | Skip broken tests on Python 3.11 and Windows | Illviljan 14371165 | closed | 0 | 0 | 2023-07-10T17:54:54Z | 2023-07-10T18:54:38Z | 2023-07-10T18:54:38Z | MEMBER | 0 | pydata/xarray/pulls/7972 | Temporally skip tests in order to make CI pass again, the troublesome tests are reported in #7971. |
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1410618081 | PR_kwDOAMm_X85A4TS_ | 7174 | Move .line to plot1d | Illviljan 14371165 | open | 0 | 0 | 2022-10-16T20:51:23Z | 2023-06-19T20:37:30Z | MEMBER | 1 | pydata/xarray/pulls/7174 |
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1718427036 | PR_kwDOAMm_X85Q88zP | 7857 | Avoid explicit loop when updating OrderedSet | Illviljan 14371165 | closed | 0 | 0 | 2023-05-21T09:06:58Z | 2023-05-25T20:08:35Z | 2023-05-25T20:08:34Z | MEMBER | 0 | pydata/xarray/pulls/7857 | Following recommendation from: https://github.com/pydata/xarray/pull/7824#discussion_r1196114696 ```python main:a = tuple(f"dim_{i}" for i in range(500)) %timeit OrderedSet(a) 46 µs ± 2.26 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each) This PR:a = tuple(f"dim_{i}" for i in range(500)) %timeit OrderedSet(a) 28.9 µs ± 476 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each) ``` |
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1718477599 | PR_kwDOAMm_X85Q9G1M | 7858 | Add type hints to test_dtypes | Illviljan 14371165 | closed | 0 | 0 | 2023-05-21T12:00:26Z | 2023-05-21T12:30:18Z | 2023-05-21T12:30:18Z | MEMBER | 0 | pydata/xarray/pulls/7858 | Split out from #7858. Improve mypy coverage in order to understand better what the functions are actually used for. |
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1710742907 | PR_kwDOAMm_X85QjGIu | 7843 | Improve interp performance | Illviljan 14371165 | closed | 0 | 0 | 2023-05-15T20:02:25Z | 2023-05-18T18:54:15Z | 2023-05-18T18:54:15Z | MEMBER | 0 | pydata/xarray/pulls/7843 |
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1691458797 | PR_kwDOAMm_X85PiT3U | 7804 | Test asv ci | Illviljan 14371165 | closed | 0 | 0 | 2023-05-01T21:54:07Z | 2023-05-01T22:24:14Z | 2023-05-01T22:24:14Z | MEMBER | 1 | pydata/xarray/pulls/7804 |
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1457017483 | PR_kwDOAMm_X85DTsQq | 7303 | Add mypy version to xr.show_versions | Illviljan 14371165 | closed | 0 | 0 | 2022-11-20T19:27:20Z | 2022-11-21T21:33:15Z | 2022-11-21T21:33:15Z | MEMBER | 0 | pydata/xarray/pulls/7303 | It's a little tricky getting the mypy version, so adding it to the show_versions function as well. |
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1422869912 | PR_kwDOAMm_X85BhYOh | 7219 | Explicitly remove grids for pcolormesh | Illviljan 14371165 | closed | 0 | 0 | 2022-10-25T18:04:14Z | 2022-10-28T16:22:53Z | 2022-10-28T16:22:53Z | MEMBER | 0 | pydata/xarray/pulls/7219 | Removes a warning in the plotting tests, related to https://matplotlib.org/stable/api/prev_api_changes/api_changes_3.5.0.html#auto-removal-of-grids-by-pcolor-and-pcolormesh. I just added ```python import xarray as xr airtemps = xr.tutorial.open_dataset("air_temperature") air = airtemps.air - 273.15 air.attrs = airtemps.air.attrs air.attrs["units"] = "deg C" air2d = air.isel(time=500) fig, axs = plt.subplots(2,1) air2d.plot(ax=axs[0]) # No grid. air2d.plot(ax=axs[1]) # With grid. axs[1].grid(True) ``` |
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1419534239 | PR_kwDOAMm_X85BWS-T | 7196 | Remove rasterio tutorial test | Illviljan 14371165 | closed | 0 | 0 | 2022-10-22T22:30:41Z | 2022-10-23T11:57:36Z | 2022-10-23T11:57:36Z | MEMBER | 0 | pydata/xarray/pulls/7196 | This test has been quite troublesome and since |
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1386416145 | PR_kwDOAMm_X84_n-Xi | 7082 | Clearer variable names in FacetGrid._set_lims | Illviljan 14371165 | closed | 0 | 0 | 2022-09-26T16:52:41Z | 2022-09-26T20:50:18Z | 2022-09-26T20:50:18Z | MEMBER | 0 | pydata/xarray/pulls/7082 |
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1342259638 | PR_kwDOAMm_X849WYHD | 6926 | Use micromamba in ASV benchmark workflow | Illviljan 14371165 | closed | 0 | 0 | 2022-08-17T20:27:44Z | 2022-09-24T09:15:38Z | 2022-09-24T09:15:38Z | MEMBER | 0 | pydata/xarray/pulls/6926 | These changes should hopefully yield some performance improvements. |
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1339604345 | PR_kwDOAMm_X849Nkuh | 6918 | Generalize set_(x, y, z)labels in facetgrids | Illviljan 14371165 | closed | 0 | 0 | 2022-08-15T22:45:15Z | 2022-08-17T17:33:19Z | 2022-08-17T17:21:40Z | MEMBER | 0 | pydata/xarray/pulls/6918 | Prepare to be able to use a |
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1339578605 | PR_kwDOAMm_X849NfsN | 6917 | Reuse total width calculation | Illviljan 14371165 | closed | 0 | 0 | 2022-08-15T22:21:31Z | 2022-08-15T22:40:06Z | 2022-08-15T22:40:06Z | MEMBER | 0 | pydata/xarray/pulls/6917 | Minor tweak to reduce diffs in #6778. |
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1299275985 | PR_kwDOAMm_X847HxFX | 6764 | Remove generic utils import | Illviljan 14371165 | closed | 0 | 0 | 2022-07-08T17:22:26Z | 2022-08-12T09:07:23Z | 2022-07-08T17:52:50Z | MEMBER | 0 | pydata/xarray/pulls/6764 | Some minor import oddities I noticed while reading the code. |
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1299306810 | PR_kwDOAMm_X847H3r8 | 6765 | Use `math` instead of `numpy` in some places | Illviljan 14371165 | closed | 0 | 0 | 2022-07-08T18:02:33Z | 2022-08-12T09:07:12Z | 2022-07-09T07:51:15Z | MEMBER | 0 | pydata/xarray/pulls/6765 | Use Example: ```python %timeit math.prod((1, 2, 3)) 161 ns ± 10.5 ns per loop (mean ± std. dev. of 7 runs, 10000000 loops each) %timeit int(np.prod((1, 2, 3))) 11.9 µs ± 248 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) ``` |
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1299416254 | PR_kwDOAMm_X847IPRb | 6767 | Type `shape` methods | Illviljan 14371165 | closed | 0 | 0 | 2022-07-08T20:23:59Z | 2022-08-12T09:06:53Z | 2022-07-09T07:51:28Z | MEMBER | 0 | pydata/xarray/pulls/6767 | The shape methods can have multiple integers inside the tuple, this fixes that and adds to typing to all shape methods I found. |
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1088740466 | PR_kwDOAMm_X84wR4bX | 6109 | Remove registration of pandas datetime converter in plotting | Illviljan 14371165 | closed | 0 | 0 | 2021-12-26T10:14:47Z | 2022-08-12T09:05:45Z | 2022-01-09T20:33:29Z | MEMBER | 0 | pydata/xarray/pulls/6109 | Back in 2017 the da = xarray.DataArray( numpy.arange(3*4).reshape(3,4), dims=("x", "y"), coords={"x": [1,2,3], "y": [numpy.datetime64(f"2000-01-{x:02d}") for x in range(1, 5)]}) da.plot.pcolormesh() ``` This has probably been working by default in matplotlib since 2.2.0, when datetime support was added https://github.com/matplotlib/matplotlib/releases/tag/v2.2.0. (https://github.com/matplotlib/matplotlib/pull/9779) Related issues: https://github.com/mwaskom/seaborn/issues/1325
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1302560442 | PR_kwDOAMm_X847Snca | 6779 | Move _infer_meta_data and _parse_size to utils | Illviljan 14371165 | closed | 0 | 0 | 2022-07-12T20:01:59Z | 2022-08-12T09:03:53Z | 2022-07-12T20:45:02Z | MEMBER | 0 | pydata/xarray/pulls/6779 | Reduce diffs in #6778. |
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1325613350 | PR_kwDOAMm_X848fiwZ | 6862 | Add typing to some interval functions | Illviljan 14371165 | closed | 0 | 0 | 2022-08-02T10:02:57Z | 2022-08-12T09:02:21Z | 2022-08-02T20:43:08Z | MEMBER | 0 | pydata/xarray/pulls/6862 | Reduce diffs in #6778. |
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1324163858 | PR_kwDOAMm_X848auLe | 6856 | Better error message in _infer_meta_data | Illviljan 14371165 | closed | 0 | 0 | 2022-08-01T10:06:58Z | 2022-08-12T09:01:36Z | 2022-08-01T16:59:51Z | MEMBER | 0 | pydata/xarray/pulls/6856 | Reduce diffs in #6778. I remember finding it annoying that I got a list of the valid strings but not the actual string used. |
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1332554764 | PR_kwDOAMm_X8482bc3 | 6898 | Fix mypy CI | Illviljan 14371165 | closed | 0 | 0 | 2022-08-09T00:35:19Z | 2022-08-12T08:59:42Z | 2022-08-09T01:30:24Z | MEMBER | 0 | pydata/xarray/pulls/6898 | Fixes:
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1318778491 | PR_kwDOAMm_X848I-tg | 6831 | Convert name to string | Illviljan 14371165 | closed | 0 | 0 | 2022-07-26T21:38:32Z | 2022-07-26T22:16:44Z | 2022-07-26T21:38:54Z | MEMBER | 0 | pydata/xarray/pulls/6831 |
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