Manipulate arrays of complex data structures as easily as Numpy
https://github.com/scikit-hep/awkward-1.0
Awkward Array is a library for nested, variable-sized data, including
arbitrary-length lists, records, mixed types, and missing data, using
NumPy-like idioms.
Arrays are dynamically typed, but operations on them are compiled and fast.
Their behavior coincides with NumPy when array dimensions are regular and
generalizes when they're not.
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Source Files
Filename | Size | Changed |
---|---|---|
_link | 0000000124 124 Bytes | |
awkward-2.0.8.tar.gz | 0004994907 4.76 MB | |
python-awkward.changes | 0000026714 26.1 KB | |
python-awkward.spec | 0000003404 3.32 KB |
Revision 29 (latest revision is 81)
Dirk Mueller (dirkmueller)
committed
(revision 29)
- update to 2.0.8: * allow awkward type arrays filtering based on rdfentry * feat!: re-introduce unknown-length * fix: keep EmptyArray in remove_structure * fix: add is_c_contiguous method to Cupy * fix: boolean indexing with non-zero starting offsets * fix: add license to _backends * fix: use of size in to_RegularArray * fix: indexing into RegularArray with typetracer * fix: support length-zero outer arrays in almost_equal * fix: support options in ak.merge_union_of_records * fix: don't merge non-union parameters * fix: boolean slicing with non-packed arrays * refactor: add type hints for Content._getitem_XXX * refactor: drop NumpyLike.known_shape * refactor: change Content._getitem_range to use explicit indices * docs: fix example for merge_union_of_records * docs: add 1.10 legacy docs to switcher.json * docs: reintroduce Content documentation from v1 reST files. * docs: add how-to-examine-type.md * docs: improve ragged indexing docs * chore: include cuda kernel tests in sdist * chore(deps): bump amannn/action-semantic-pull-request from 5.0.2 to 5.1.0 * chore: update pre-commit hooks
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