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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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| 1991435225 | PR_kwDOAMm_X85fV3DW | 8449 | Use concise date format when plotting | Illviljan 14371165 | closed | 0 | 2 | 2023-11-13T20:32:22Z | 2024-03-13T21:41:34Z | 2023-11-21T19:26:24Z | MEMBER | 0 | pydata/xarray/pulls/8449 |
```python import matplotlib.pyplot as plt import xarray as xr airtemps = xr.tutorial.open_dataset("air_temperature") air = airtemps.air - 273.15 air1d = air.isel(lat=10, lon=10) plt.figure()
air1d.plot()
```
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xarray 13221727 | pull | |||||
| 1797186226 | PR_kwDOAMm_X85VG-Nj | 7970 | Use another repository for upstream testing | Illviljan 14371165 | closed | 0 | 2 | 2023-07-10T17:10:55Z | 2023-07-10T17:33:11Z | 2023-07-10T17:33:11Z | MEMBER | 0 | pydata/xarray/pulls/7970 | Use https://pypi.anaconda.org/scientific-python-nightly-wheels/simple/ instead.
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xarray 13221727 | pull | |||||
| 1795424047 | PR_kwDOAMm_X85VBAF6 | 7968 | Move absolute path finder from open_mfdataset to own function | Illviljan 14371165 | closed | 0 | 2 | 2023-07-09T14:24:38Z | 2023-07-10T14:04:06Z | 2023-07-10T14:04:05Z | MEMBER | 0 | pydata/xarray/pulls/7968 | A simple refactor to make it easier to retrieve the proper paths that I've been thinking how to make use of DataTree and one idea I wanted to try was:
* Open file (using |
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xarray 13221727 | pull | |||||
| 1665260014 | PR_kwDOAMm_X85OK8Yp | 7752 | Fix typing errors using mypy 1.2 | Illviljan 14371165 | closed | 0 | 2 | 2023-04-12T21:08:31Z | 2023-04-15T18:31:58Z | 2023-04-15T18:31:57Z | MEMBER | 0 | pydata/xarray/pulls/7752 | Fixes typing errors when using newest mypy version.
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xarray 13221727 | pull | |||||
| 1462470712 | PR_kwDOAMm_X85DmbNT | 7318 | Use plt.rc_context for default styles | Illviljan 14371165 | closed | 0 | 2 | 2022-11-23T22:11:23Z | 2023-02-09T12:56:00Z | 2023-02-09T12:56:00Z | MEMBER | 0 | pydata/xarray/pulls/7318 |
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xarray 13221727 | pull | |||||
| 1528100871 | PR_kwDOAMm_X85HG6Hh | 7431 | Pull Request Labeler - Workaround sync-labels bug | Illviljan 14371165 | closed | 0 | 2 | 2023-01-10T22:29:03Z | 2023-01-10T23:10:32Z | 2023-01-10T23:06:14Z | MEMBER | 0 | pydata/xarray/pulls/7431 |
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xarray 13221727 | pull | |||||
| 1410432571 | PR_kwDOAMm_X85A3v7B | 7167 | Fix some scatter plot issues | Illviljan 14371165 | closed | 0 | 2 | 2022-10-16T09:38:05Z | 2022-10-17T13:39:31Z | 2022-10-17T13:39:31Z | MEMBER | 0 | pydata/xarray/pulls/7167 | Fix some issues with scatter plots:
* Always use markersize widths for scatter.
* Fix issue with xref: #6778 |
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xarray 13221727 | pull | |||||
| 1128356864 | PR_kwDOAMm_X84ySpaM | 6257 | Run pyupgrade on core/weighted | Illviljan 14371165 | closed | 0 | 2 | 2022-02-09T10:38:06Z | 2022-08-12T09:08:47Z | 2022-02-09T12:52:39Z | MEMBER | 0 | pydata/xarray/pulls/6257 | Clean up a little in preparation for #6059.
xref: #6244 |
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xarray 13221727 | pull | |||||
| 1052888529 | PR_kwDOAMm_X84ufplh | 5986 | Use set_options for asv bottleneck tests | Illviljan 14371165 | closed | 0 | 2 | 2021-11-14T09:10:38Z | 2022-08-12T09:07:55Z | 2021-11-15T20:40:38Z | MEMBER | 0 | pydata/xarray/pulls/5986 | Inspired by #5734, remove the non-bottleneck build and instead use
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xarray 13221727 | pull | |||||
| 970234731 | MDExOlB1bGxSZXF1ZXN0NzEyMjE0ODU4 | 5703 | Use the same bool validator as other inputs for use_bottleneck in xr.set_options | Illviljan 14371165 | closed | 0 | 2 | 2021-08-13T09:36:03Z | 2022-08-12T09:07:28Z | 2021-08-13T13:41:42Z | MEMBER | 0 | pydata/xarray/pulls/5703 | Minor change to align with other booleans. |
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xarray 13221727 | pull | |||||
| 970208539 | MDExOlB1bGxSZXF1ZXN0NzEyMTkxODEx | 5702 | Move docstring for xr.set_options to numpy style | Illviljan 14371165 | closed | 0 | 2 | 2021-08-13T09:05:56Z | 2022-08-12T09:06:23Z | 2021-08-19T22:27:39Z | MEMBER | 0 | pydata/xarray/pulls/5702 | While trying to figure out which types are allowed in #5678 I felt that the |
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xarray 13221727 | pull | |||||
| 1110829504 | PR_kwDOAMm_X84xZwqu | 6184 | Add seed kwarg to the tutorial scatter dataset | Illviljan 14371165 | closed | 0 | 2 | 2022-01-21T19:38:53Z | 2022-08-12T09:06:13Z | 2022-01-26T19:04:02Z | MEMBER | 0 | pydata/xarray/pulls/6184 | Allow controlling the randomness of the dataset. It's difficult to catch issues with the dataset if it always changes each run. |
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xarray 13221727 | pull | |||||
| 1318779952 | PR_kwDOAMm_X848I_BC | 6832 | Convert name to string in label_from_attrs | Illviljan 14371165 | closed | 0 | 2 | 2022-07-26T21:40:38Z | 2022-08-12T09:02:01Z | 2022-07-26T22:48:39Z | MEMBER | 0 | pydata/xarray/pulls/6832 | Make sure name is a string. Use the same
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xarray 13221727 | pull | |||||
| 929923036 | MDExOlB1bGxSZXF1ZXN0Njc3NzAyMTc5 | 5532 | Remove self from classes in How to add new backends docs | Illviljan 14371165 | closed | 0 | 2 | 2021-06-25T07:48:32Z | 2021-07-02T16:07:16Z | 2021-06-25T08:12:59Z | MEMBER | 0 | pydata/xarray/pulls/5532 | Copy pasting the examples in http://xarray.pydata.org/en/stable/internals/how-to-add-new-backend.html resulted in crashes. Make the docs copy/paste friendly by removing the self arguments. Example: ```python expected = xr.Dataset( dict(a=2 * np.arange(5)), coords=dict(x=("x", np.arange(5), dict(units="s"))) ) class CustomBackend(xr.backends.BackendEntrypoint): def open_dataset( self, filename_or_obj, drop_variables=None, **kwargs, ): return expected.copy(deep=True) xr.open_dataset("fake_filename", engine=CustomBackend)
TypeError: open_dataset() missing 1 required positional argument: 'filename_or_obj'
class CustomBackend(xr.backends.BackendEntrypoint): def open_dataset( filename_or_obj, drop_variables=None, **kwargs, ): return expected.copy(deep=True) xr.open_dataset("fake_filename", engine=CustomBackend) <xarray.Dataset> Dimensions: (a: 5, x: 5) Coordinates: * a (a) int32 0 2 4 6 8 * x (x) int32 0 1 2 3 4 Data variables: empty ```
|
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xarray 13221727 | pull |
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