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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1093466537 | PR_kwDOAMm_X84wg_Js | 6135 | Implement multiplication of cftime Tick offsets by floats | aaronspring 12237157 | closed | 0 | 7 | 2022-01-04T15:28:16Z | 2022-02-15T23:05:04Z | 2022-02-15T23:05:04Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6135 |
Refs: - https://docs.python.org/3/library/datetime.html - https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Timedelta.html#pandas.Timedelta - https://xarray.pydata.org/en/stable/generated/xarray.CFTimeIndex.shift.html |
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xarray 13221727 | pull | |||||
| 1119996723 | PR_kwDOAMm_X84x3fWS | 6223 | `GHA` `concurrency` followup | aaronspring 12237157 | closed | 0 | 1 | 2022-01-31T22:21:09Z | 2022-01-31T23:16:20Z | 2022-01-31T23:16:20Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6223 | follows #6210 |
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xarray 13221727 | pull | |||||
| 1118564242 | PR_kwDOAMm_X84xywhB | 6210 | `GHA` `concurrency` | aaronspring 12237157 | closed | 0 | 3 | 2022-01-30T14:56:01Z | 2022-01-31T22:25:27Z | 2022-01-31T16:59:27Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6210 |
https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#concurrency
|
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xarray 13221727 | pull | |||||
| 1071054456 | PR_kwDOAMm_X84vYnOq | 6046 | Fix `xr.infer_freq` quarterly month | aaronspring 12237157 | closed | 0 | 0 | 2021-12-03T23:48:43Z | 2022-01-04T13:54:49Z | 2022-01-04T13:54:49Z | CONTRIBUTOR | 1 | pydata/xarray/pulls/6046 |
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xarray 13221727 | pull | |||||
| 1058047751 | PR_kwDOAMm_X84uv1d0 | 6007 | Use condas dask-core in ci instead of dask to speedup ci and reduce dependencies | aaronspring 12237157 | closed | 0 | 1 | 2021-11-19T02:02:41Z | 2021-11-28T21:01:36Z | 2021-11-28T04:40:34Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6007 |
Tried to reduce dependencies from installing dask via conda which installs like pip install dask[complete]. dask-core is like pip install dask. https://github.com/xgcm/xhistogram/pull/71#discussion_r752738286 Why? dask[complete] includes bokeh etc which are not needed here and likely speed up CI setup/install times but now dask and dask-core are conda installed :( seems like iris installs dask https://github.com/conda-forge/iris-feedstock/blob/master/recipe/meta.yaml, so this would require an iris-feedstock PR first linking https://github.com/SciTools/iris/pull/4434 and https://github.com/conda-forge/iris-feedstock/pull/77 |
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xarray 13221727 | pull | |||||
| 954308458 | MDExOlB1bGxSZXF1ZXN0Njk4MjI0Mjcx | 5639 | Del duplicate set_options in api.rst | aaronspring 12237157 | closed | 0 | 3 | 2021-07-27T22:19:38Z | 2021-07-30T08:47:36Z | 2021-07-30T08:20:15Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/5639 |
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xarray 13221727 | pull | |||||
| 827561388 | MDExOlB1bGxSZXF1ZXN0NTg5NDU5NDQ1 | 5020 | add polyval to polyfit see also | aaronspring 12237157 | closed | 0 | 1 | 2021-03-10T11:14:02Z | 2021-03-10T14:20:11Z | 2021-03-10T12:59:41Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/5020 |
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xarray 13221727 | pull | |||||
| 748094631 | MDExOlB1bGxSZXF1ZXN0NTI1MTgzOTQ5 | 4597 | add freq as CFTimeIndex property and to CFTimeIndex.__repr__ | aaronspring 12237157 | closed | 0 | 11 | 2020-11-21T20:12:36Z | 2020-11-25T09:16:49Z | 2020-11-24T21:53:27Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/4597 |
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xarray 13221727 | pull | |||||
| 624378150 | MDExOlB1bGxSZXF1ZXN0NDIyODEzOTYy | 4092 | CFTimeIndex calendar in repr | aaronspring 12237157 | closed | 0 | 19 | 2020-05-25T15:55:20Z | 2020-07-23T17:38:39Z | 2020-07-23T10:42:29Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/4092 |
Done:
- added |
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xarray 13221727 | pull | |||||
| 577105538 | MDExOlB1bGxSZXF1ZXN0Mzg0OTY0MDcz | 3844 | Implement skipna kwarg in xr.quantile | aaronspring 12237157 | closed | 0 | 5 | 2020-03-06T18:36:55Z | 2020-03-09T09:46:25Z | 2020-03-08T17:42:44Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/3844 |
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xarray 13221727 | pull |
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