NumPy 2.1.0 provides support for the upcoming Python 3.13 release and
drops support for Python 3.9. In addition to the usual bug fixes and
updated Python support, it helps get us back into our usual release
cycle after the extended development of 2.0. The highlights for this
release are:
Support for the array-api 2023.12 standard.
Support for Python 3.13.
Preliminary support for free threaded Python 3.13.
Python versions 3.10-3.13 are supported in this release.
New functions
New function numpy.unstack
A new function np.unstack(array, axis=...) was added, which splits an
array into a tuple of arrays along an axis. It serves as the inverse of
[numpy.stack]{.title-ref}.
The fix_imports keyword argument in numpy.save is deprecated.
Since NumPy 1.17, numpy.save uses a pickle protocol that no longer
supports Python 2, and ignored fix_imports keyword. This keyword
is kept only for backward compatibility. It is now deprecated.
Passing non-integer inputs as the first argument of
[bincount]{.title-ref} is now deprecated, because such inputs are
silently cast to integers with no warning about loss of precision.
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Bumps numpy from 1.18.0 to 2.1.0.
Release notes
Sourced from numpy's releases.
... (truncated)
Commits
2f7fe64
Merge pull request #27236 from charris/prepare-2.1.0b6f434f
REL: Prepare for the NumPy 2.1.0 release [wheel build]3cf9394
Merge pull request #27234 from charris/backport-259847443dcc
Merge pull request #27233 from charris/backport-2722385b1cab
BUG: Allow fitting of degree zero polynomials with Polynomial.fit395a81d
DOC: reword discussion about shared arrays to hopefully be clearer5af2e96
Move NUMUSERTYPES thread safety discussion to legacy DType API docsd902c24
DOC: add docs on thread safety in NumPyc080180
Merge pull request #27229 from charris/backport-2722644ce7e8
BUG: FixPyArray_ZeroContiguousBuffer
(resize) with struct dtypesDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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.Dependabot commands and options
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