Only use necessary dims when creating temporary dataarray #9206
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headtr1ck
approved these changes
Jul 6, 2024
xarray/plot/dataset_plot.py
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| # Base coords: | ||
| coords = dict(ds.coords) | ||
| coords = dict(ds[y].coords) | ||
| dims = dict.fromkeys(ds[y].dims) |
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If you don't use the values anyway, why not use a set instead?
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Done. Will look even nicer when ds.dims returns a set.
xref: #8496
dcherian
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Jul 11, 2024
* main: exclude the bots from the release notes (pydata#9235) switch the documentation to run with `numpy>=2` (pydata#9177) `numpy` 2 compatibility in the iris code paths (pydata#9156) `numpy` 2 compatibility in the `netcdf4` and `h5netcdf` backends (pydata#9136) Fix time indexing regression in `convert_calendar` (pydata#9192) Use duckarray assertions in test_coding_times (pydata#9226) Use reshape and ravel from duck_array_ops in coding/times.py (pydata#9225) Cleanup test_coding_times.py (pydata#9223) Only use necessary dims when creating temporary dataarray (pydata#9206) Fix two bugs in DataTree.update() (pydata#9214) Use numpy 2.0-compat `np.complex64` dtype in test (pydata#9217)
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