numpy 2.0 copy-keyword and trapz vs trapezoid #8865
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* main: (26 commits) [pre-commit.ci] pre-commit autoupdate (pydata#8900) Bump the actions group with 1 update (pydata#8896) New empty whatsnew entry (pydata#8899) Update reference to 'Weighted quantile estimators' (pydata#8898) 2024.03.0: Add whats-new (pydata#8891) Add typing to test_groupby.py (pydata#8890) Avoid in-place multiplication of a large value to an array with small integer dtype (pydata#8867) Check for aligned chunks when writing to existing variables (pydata#8459) Add dt.date to plottable types (pydata#8873) Optimize writes to existing Zarr stores. (pydata#8875) Allow multidimensional variable with same name as dim when constructing dataset via coords (pydata#8886) Don't allow overwriting indexes with region writes (pydata#8877) Migrate datatree.py module into xarray.core. (pydata#8789) warn and return bytes undecoded in case of UnicodeDecodeError in h5netcdf-backend (pydata#8874) groupby: Dispatch quantile to flox. (pydata#8720) Opt out of auto creating index variables (pydata#8711) Update docs on view / copies (pydata#8744) Handle .oindex and .vindex for the PandasMultiIndexingAdapter and PandasIndexingAdapter (pydata#8869) numpy 2.0 copy-keyword and trapz vs trapezoid (pydata#8865) upstream-dev CI: Fix interp and cumtrapz (pydata#8861) ...
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This fixes two issues with numpy 2.0 (see #8844)
whats-new.rst