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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 282140537 | MDExOlB1bGxSZXF1ZXN0MjgyMTQwNTM3 | 2989 | closed | 0 | Add strftime() to datetime accessor with cftimeindex and dask support | abrammer 6145107 | - [x] Closes #2090 - [x] Tests added - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API - [x] Add further examples to User Guide Docs Building on #2144, I added dask support and returning the appropriate object type. The two initial commits show alternate approach to handling cftime values. Either adding strftime to `cftimeindex` and accessing that way (commit 5de4db1) or just rolling the loop within the datetime accessor and not touching `cftimeindex` at all ( 51239c9). can revert commit 5de4db1 if its preferred to not touch `cftimeindex` for any reason. Can clean up docstrings and minor formatting after some input on the implementation details. Is there a vectorized or better method for the cftime values? List comprehension was the best I could come up with, borrowing from similar logic elsewhere in the code. | 2019-05-24T19:52:42Z | 2019-06-01T07:51:43Z | 2019-06-01T07:51:17Z | 2019-06-01T07:51:17Z | 74e5ff64171e84a2da3984f512d2134a233240e2 | 0 | 9b8bc0147d48625fdd54177532f4dbb26c397c18 | 0811141e8f985a1f3b95ead92c3850cc74e160a5 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/2989 | ||||
| 1306588555 | PR_kwDOAMm_X85N4PWL | 7741 | closed | 0 | Add lshift and rshift operators | abrammer 6145107 | This seems a little too easy, but the PR just adds lshift and rshit to `generate_ops.py` and `ops.py` then generated the 2 stub files with `generate_ops.py`. - [x] Closes #7727 - [x] Tests added for: - xr.Variable - DataArray - dask - groupby - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - There will be new `<<` `>>` syntax for dataarrays and datasets. - [x] New functions/methods are listed in `api.rst` - Existing basic math operators aren't really listed, that I can find. - Could add example code in the "Data arrays also implement many numpy.ndarray methods:" section of computation.rst ? I'll wait for initial review before spending time on whats-new and api docs. This enables bit shifting on arrays (when the type supports it). ```python import xarray as xr x = xr.DataArray(5) print(x << 1) # <xarray.DataArray ()> # array(10) x = xr.DataArray([0,1,2,3,4,5]) print(x << 1) # <xarray.DataArray (dim_0: 6)> # array([ 0, 2, 4, 6, 8, 10]) # Dimensions without coordinates: dim_0 x = xr.DataArray([0,1,2,3,4,5]) print(x >> 1) # <xarray.DataArray (dim_0: 6)> # array([0, 0, 1, 1, 2, 2]) # Dimensions without coordinates: dim_0 x = xr.DataArray([0,1,2,3,4,5.]) print(x >> 1) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/workspaces/xarray/xarray/core/_typed_ops.py", line 255, in __rshift__ return self._binary_op(other, operator.rshift) File "/workspaces/xarray/xarray/core/dataarray.py", line 4566, in _binary_op f(self.variable, other_variable) File "/workspaces/xarray/xarray/core/_typed_ops.py", line 461, in __rshift__ return self._binary_op(other, operator.rshift) File "/workspaces/xarray/xarray/core/variable.py", line 2662, in _binary_op f(self_data, other_data) if not reflexive else f(other_data, self_data) TypeError: ufunc 'right_shift' not supported for the input types, and the inputs could not be safely coerced to any sup… | 2023-04-08T21:45:46Z | 2023-04-28T14:22:07Z | 2023-04-28T14:22:07Z | 2023-04-28T14:22:07Z | a220022e7ef8d3df68619643954352fa39394ea8 | 0 | 3efcbe5fbffaf43667fa070cbc4ae9f834923c00 | 7c53a94f53c4c01155c432c8b287f3d0b318a7c7 | CONTRIBUTOR | xarray 13221727 | https://github.com/pydata/xarray/pull/7741 |
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