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.
- Developed at devel:languages:python:numeric
- Sources inherited from project openSUSE:Factory
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Source Files
| Filename | Size | Changed |
|---|---|---|
| awkward-2.0.9.tar.gz | 0005008202 4.78 MB | |
| python-awkward.changes | 0000027333 26.7 KB | |
| python-awkward.spec | 0000003404 3.32 KB |
Revision 16 (latest revision is 35)
Dominique Leuenberger (dimstar_suse)
accepted
request 1069926
from
Dirk Mueller (dirkmueller)
(revision 16)
- update to 2.0.9:
* feat: keep column order after filtering flag
* feat: Awkward Arrays in Numba's CUDA target
* feat: add 'highlevel' and 'behavior' arguments to
'ak.from_rdataframe' function
* fix: set dtype in full_like
* fix: use simplified in ak._do.merge_as_union
* fix: support unknown content length in to_packed
* fix: run-lengths with typetracer
* fix: add trivial nan_to_num impl
* fix: add ak.broadcast_fields
* fix: keep column order in all tests
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