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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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1705163672 | PR_kwDOAMm_X85QQiiY | 7834 | Use `numpy.can_cast` instead of casting and checking | mx-moth 132147 | closed | 0 | 5 | 2023-05-11T06:36:06Z | 2023-06-26T05:06:30Z | 2023-06-26T05:06:29Z | CONTRIBUTOR | 1 | pydata/xarray/pulls/7834 | In numpy >= 1.24 unsafe casting raises a RuntimeWarning for an operation that xarray does often to check if casting is safe.
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xarray 13221727 | pull | |||||
1071806607 | PR_kwDOAMm_X84va6lN | 6049 | Attempt datetime coding using cftime when pandas fails | mx-moth 132147 | closed | 0 | 2 | 2021-12-06T07:12:35Z | 2022-01-04T00:28:15Z | 2021-12-24T11:48:22Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6049 | A netCDF4 dataset we use has a time variable defined as:
Note the xarray can successfully open this dataset and parse the time units, making a time variable with the expeced values. However, attempting to save this dataset (e.g. after slicing some geographic bounds or selecting a subset of variables), xarray would raise an error trying to reformat the time This fix applies the same logic used in the decoding step to the encoding step - specifically, attempt to use
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xarray 13221727 | pull |
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