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Releases: numpy/numpy

2.3.5 (Nov 16, 2025)

16 Nov 23:15
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v2.3.5
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NumPy 2.3.5 Release Notes

The NumPy 2.3.5 release is a patch release split between a number of maintenance
updates and bug fixes. This release supports Python versions 3.11-3.14.

Contributors

A total of 10 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.

  • Aaron Kollasch +
  • Charles Harris
  • Joren Hammudoglu
  • Matti Picus
  • Nathan Goldbaum
  • Rafael Laboissière +
  • Sayed Awad
  • Sebastian Berg
  • Warren Weckesser
  • Yasir Ashfaq +

Pull requests merged

A total of 16 pull requests were merged for this release.

  • #29979: MAINT: Prepare 2.3.x for further development
  • #30026: SIMD, BLD: Backport FPMATH mode on x86-32 and filter successor...
  • #30029: MAINT: Backport write_release.py
  • #30041: TYP: Various typing updates
  • #30059: BUG: Fix np.strings.slice if stop=None or start and stop >= len...
  • #30063: BUG: Fix np.strings.slice if start > stop
  • #30076: BUG: avoid negating INT_MIN in PyArray_Round implementation (#30071)
  • #30090: BUG: Fix resize when it contains references (#29970)
  • #30129: BLD: update scipy-openblas, use -Dpkg_config_path (#30049)
  • #30130: BUG: Avoid compilation error of wrapper file generated with SWIG...
  • #30157: BLD: use scipy-openblas 0.3.30.7 (#30132)
  • #30158: DOC: Remove nonexistentorder parameter docs ofma.asanyarray...
  • #30185: BUG: Fix check of PyMem_Calloc return value. (#30176)
  • #30217: DOC: fix links for newly rebuilt numpy-tutorials site
  • #30218: BUG: Fix build on s390x with clang (#30214)
  • #30237: ENH: Make FPE blas check a runtime check for all apple arm systems
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v2.3.4 (Oct 15, 2025)

15 Oct 23:15
Immutablerelease. Only release title and notes can be modified.
v2.3.4
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NumPy 2.3.4 Release Notes

The NumPy 2.3.4 release is a patch release split between a number of maintenance
updates and bug fixes. This release supports Python versions 3.11-3.14. This
release is based on Python 3.14.0 final.

Changes

Thenpymath andnpyrandom libraries now have a.lib rather than a
.a file extension on win-arm64, for compatibility for building with MSVC and
setuptools. Please note that using these static libraries is discouraged
and for existing projects using it, it's best to use it with a matching
compiler toolchain, which isclang-cl on Windows on Arm.

(gh-29750)

Contributors

A total of 17 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.

  • !DWesl
  • Charles Harris
  • Christian Barbia +
  • Evgeni Burovski
  • Joren Hammudoglu
  • Maaz +
  • Mateusz Sokół
  • Matti Picus
  • Nathan Goldbaum
  • Ralf Gommers
  • Riku Sakamoto +
  • Sandeep Gupta +
  • Sayed Awad
  • Sebastian Berg
  • Sergey Fedorov +
  • Warren Weckesser
  • dependabot[bot]

Pull requests merged

A total of 30 pull requests were merged for this release.

  • #29725: MAINT: Prepare 2.3.x for further development
  • #29781: MAINT: Pin some upstream dependences
  • #29782: BLD: enable x86-simd-sort to build on KNL with -mavx512f
  • #29783: BUG: Include python-including headers first (#29281)
  • #29784: TYP: fix np.number and np.*integer method declaration
  • #29785: TYP: mypy 1.18.1
  • #29788: TYP: replace scalar type __init__ with __new__
  • #29790: BUG: Fixdtype refcount in__array__ (#29715)
  • #29791: TYP: fix method declarations in floating, timedelta64, and datetime64Backport
  • #29792: MAINT: delete unused variables in unary logical dispatch
  • #29797: BUG: Fix pocketfft umath strides for AIX compatibility (#29768)
  • #29798: BUG: np.setbufsize should raise ValueError for negative input
  • #29799: BUG: Fix assert in nditer buffer setup
  • #29800: BUG: Stable ScalarType ordering
  • #29838: TST: Pin pyparsing to avoid matplotlib errors.
  • #29839: BUG: linalg: emit a MemoryError on a malloc failure (#29811)
  • #29840: BLD: change file extension for libnpymath on win-arm64 from .a...
  • #29864: CI: Fix loongarch64 CI (#29856)
  • #29865: TYP: Various typing fixes
  • #29910: BUG: Fix float16-sort failures on 32-bit x86 MSVC (#29908)
  • #29911: TYP: add missing__slots__ (#29901)
  • #29913: TYP: wrong argument defaults intesting._private (#29902)
  • #29920: BUG: avoid segmentation fault in string_expandtabs_length_promoter
  • #29921: BUG: Fix INT_MIN % -1 to return 0 for all signed integer types...
  • #29922: TYP: minor fixes related toerrstate (#29914)
  • #29923: TST: use requirements/test_requirements across CI (#29919)
  • #29926: BUG: fix negative samples generated by Wald distribution (#29609)
  • #29940: MAINT: Bump pypa/cibuildwheel from 3.1.4 to 3.2.1
  • #29949: STY: rename@classmethod arg to cls
  • #29950: MAINT: Simplify string arena growth strategy (#29885)
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2.3.3 (Sep 9, 2025)

09 Sep 17:37
v2.3.3
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NumPy 2.3.3 Release Notes

The NumPy 2.3.3 release is a patch release split between a number of maintenance
updates and bug fixes. This release supports Python versions 3.11-3.14. Note
that the 3.14.0 final is currently expected in Oct, 2025. This release is based
on 3.14.0rc2.

Contributors

A total of 13 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.

  • Aleksandr A. Voyt +
  • Bernard Roesler +
  • Charles Harris
  • Hunter Hogan +
  • Joren Hammudoglu
  • Maanas Arora
  • Matti Picus
  • Nathan Goldbaum
  • Raghuveer Devulapalli
  • Sanjay Kumar Sakamuri Kamalakar +
  • Tobias Markus +
  • Warren Weckesser
  • Zebreus +

Pull requests merged

A total of 23 pull requests were merged for this release.

  • #29440: MAINT: Prepare 2.3.x for further development.
  • #29446: BUG: Fix test_configtool_pkgconfigdir to resolve PKG_CONFIG_DIR...
  • #29447: BLD: allow targeting webassembly without emscripten
  • #29460: MAINT: Backport write_release.py
  • #29473: MAINT: Bump pypa/cibuildwheel from 3.1.0 to 3.1.2
  • #29500: BUG: Always return a real dtype from linalg.cond (gh-18304) (#29333)
  • #29501: MAINT: Add .file entry to all .s SVML files
  • #29556: BUG: Casting from one timedelta64 to another didn't handle NAT.
  • #29562: BLD: update vendored Meson to 1.8.3 [wheel build]
  • #29563: BUG: Fix metadata not roundtripping when pickling datetime (#29555)
  • #29587: TST: update link and version for Intel SDE download
  • #29593: TYP: addsorted kwarg tounique
  • #29672: MAINT: Update pythoncapi-compat from main.
  • #29673: MAINT: Update cibuildwheel.
  • #29674: MAINT: Fix typo in wheels.yml
  • #29683: BUG, BLD: Correct regex for ppc64 VSX3/VSX4 feature detection
  • #29684: TYP: ndarray.fill() takes no keyword arguments
  • #29685: BUG: avoid thread-unsafe refcount check in temp elision
  • #29687: CI: replace comment-hider action in mypy_primer workflow
  • #29689: BLD: Add missing <unordered_map> include
  • #29691: BUG: use correct input dtype in flatiter assignment
  • #29700: TYP: fix np.bool method declarations
  • #29701: BUG: Correct ambiguous logic for s390x CPU feature detection
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v2.3.2 (Jul 24, 2025)

24 Jul 21:44
v2.3.2
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NumPy 2.3.2 Release Notes

The NumPy 2.3.2 release is a patch release with a number of bug fixes
and maintenance updates. The highlights are:

  • Wheels for Python 3.14.0rc1
  • PyPy updated to the latest stable release
  • OpenBLAS updated to 0.3.30

This release supports Python versions 3.11-3.14

Contributors

A total of 9 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

  • !DWesl
  • Charles Harris
  • Joren Hammudoglu
  • Maanas Arora
  • Marco Edward Gorelli
  • Matti Picus
  • Nathan Goldbaum
  • Sebastian Berg
  • kostayScr +

Pull requests merged

A total of 16 pull requests were merged for this release.

  • #29256: MAINT: Prepare 2.3.x for further development
  • #29283: TYP: Work around a mypy issue with bool arrays (#29248)
  • #29284: BUG: fix fencepost error in StringDType internals
  • #29287: BUG: handle case in mapiter where descriptors might get replaced...
  • #29350: BUG: Fix shape error path in array-interface
  • #29412: BUG: Allow reading non-npy files in npz and add test
  • #29413: TST: Avoid uninitialized values in test (#29341)
  • #29414: BUG: Fix reference leakage for output arrays in reduction functions
  • #29415: BUG: fix casting issue in center, ljust, rjust, and zfill (#29369)
  • #29416: TYP: Fix overloads innp.char.array andnp.char.asarray...
  • #29417: BUG: Any dtype should callsquare onarr \*\* 2 (#29392)
  • #29424: MAINT: use a stable pypy release in CI
  • #29425: MAINT: Support python 314rc1
  • #29429: MAINT: Update highway to match main.
  • #29430: BLD: use github to build macos-arm64 wheels with OpenBLAS and...
  • #29437: BUG: fix datetime/timedelta hash memory leak (#29411)

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SHA256

852ae5bed3478b92f093e30f785c98e0cb62fa0a939ed057c31716e18a7a22b9  numpy-2.3.2-cp311-cp311-macosx_10_9_x86_64.whl7a0e27186e781a69959d0230dd9909b5e26024f8da10683bd6344baea1885168  numpy-2.3.2-cp311-cp311-macosx_11_0_arm64.whlf0a1a8476ad77a228e41619af2fa9505cf69df928e9aaa165746584ea17fed2b  numpy-2.3.2-cp311-cp311-macosx_14_0_arm64.whlcbc95b3813920145032412f7e33d12080f11dc776262df1712e1638207dde9e8  numpy-2.3.2-cp311-cp311-macosx_14_0_x86_64.whlf75018be4980a7324edc5930fe39aa391d5734531b1926968605416ff58c332d  numpy-2.3.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl20b8200721840f5621b7bd03f8dcd78de33ec522fc40dc2641aa09537df010c3  numpy-2.3.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl1f91e5c028504660d606340a084db4b216567ded1056ea2b4be4f9d10b67197f  numpy-2.3.2-cp311-cp3...
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v2.3.1 (Jun 21, 2025)

21 Jun 13:02
v2.3.1
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NumPy 2.3.1 Release Notes

The NumPy 2.3.1 release is a patch release with several bug fixes,
annotation improvements, and better support for OpenBSD. Highlights are:

  • Fix bug inmatmul for non-contiguous out kwarg parameter
  • Fix for Accelerate runtime warnings on M4 hardware
  • Fix new in NumPy 2.3.0np.vectorize casting errors
  • Improved support of cpu features for FreeBSD and OpenBSD

This release supports Python versions 3.11-3.13, Python 3.14 will be
supported when it is released.

Contributors

A total of 9 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

  • Brad Smith +
  • Charles Harris
  • Developer-Ecosystem-Engineering
  • François Rozet
  • Joren Hammudoglu
  • Matti Picus
  • Mugundan Selvanayagam
  • Nathan Goldbaum
  • Sebastian Berg

Pull requests merged

A total of 12 pull requests were merged for this release.

  • #29140: MAINT: Prepare 2.3.x for further development
  • #29191: BUG: fix matmul with transposed out arg (#29179)
  • #29192: TYP: Backport typing fixes and improvements.
  • #29205: BUG: Revertnp.vectorize casting to legacy behavior (#29196)
  • #29222: TYP: Backport typing fixes
  • #29233: BUG: avoid negating unsigned integers in resize implementation...
  • #29234: TST: Fix test that uses uninitialized memory (#29232)
  • #29235: BUG: Address interaction between SME and FPSR (#29223)
  • #29237: BUG: Enforce integer limitation in concatenate (#29231)
  • #29238: CI: Add support for building NumPy with LLVM for Win-ARM64
  • #29241: ENH: Detect CPU features on OpenBSD ARM and PowerPC64
  • #29242: ENH: Detect CPU features on FreeBSD / OpenBSD RISC-V64.

Checksums

MD5

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SHA256

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v2.3.0 (June 7, 2025)

07 Jun 15:08
v2.3.0
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NumPy 2.3.0 Release Notes

The NumPy 2.3.0 release continues the work to improve free threaded
Python support and annotations together with the usual set of bug fixes.
It is unusual in the number of expired deprecations, code
modernizations, and style cleanups. The latter may not be visible to
users, but is important for code maintenance over the long term. Note
that we have also upgraded from manylinux2014 to manylinux_2_28.

Users running on a Mac having an M4 cpu might see various warnings about
invalid values and such. The warnings are a known problem with
Accelerate. They are annoying, but otherwise harmless. Apple promises to
fix them.

This release supports Python versions 3.11-3.13, Python 3.14 will be
supported when it is released.

Highlights

  • Interactive examples in the NumPy documentation.
  • Building NumPy with OpenMP Parallelization.
  • Preliminary support for Windows on ARM.
  • Improved support for free threaded Python.
  • Improved annotations.

New functions

New functionnumpy.strings.slice

The new functionnumpy.strings.slice was added, which implements fast
native slicing of string arrays. It supports the full slicing API
including negative slice offsets and steps.

(gh-27789)

Deprecations

  • Thenumpy.typing.mypy_plugin has been deprecated in favor of
    platform-agnostic static type inference. Please remove
    numpy.typing.mypy_plugin from theplugins section of your mypy
    configuration. If this change results in new errors being reported,
    kindly open an issue.

    (gh-28129)

  • Thenumpy.typing.NBitBase type has been deprecated and will be
    removed in a future version.

    This type was previously intended to be used as a generic upper
    bound for type-parameters, for example:

    importnumpyasnpimportnumpy.typingasnptdeff[NT:npt.NBitBase](x:np.complexfloating[NT])->np.floating[NT]: ...

    But in NumPy 2.2.0,float64 andcomplex128 were changed to
    concrete subtypes, causing static type-checkers to reject
    x: np.float64 = f(np.complex128(42j)).

    So instead, the better approach is to usetyping.overload:

    importnumpyasnpfromtypingimportoverload@overloaddeff(x:np.complex64)->np.float32: ...@overloaddeff(x:np.complex128)->np.float64: ...@overloaddeff(x:np.clongdouble)->np.longdouble: ...

    (gh-28884)

Expired deprecations

  • Remove deprecated macros likeNPY_OWNDATA from Cython interfaces
    in favor ofNPY_ARRAY_OWNDATA (deprecated since 1.7)

    (gh-28254)

  • Removenumpy/npy_1_7_deprecated_api.h and C macros like
    NPY_OWNDATA in favor ofNPY_ARRAY_OWNDATA (deprecated since 1.7)

    (gh-28254)

  • Remove aliasgenerate_divbyzero_error to
    npy_set_floatstatus_divbyzero andgenerate_overflow_error to
    npy_set_floatstatus_overflow (deprecated since 1.10)

    (gh-28254)

  • Removenp.tostring (deprecated since 1.19)

    (gh-28254)

  • Raise onnp.conjugate of non-numeric types (deprecated since 1.13)

    (gh-28254)

  • Raise when usingnp.bincount(...minlength=None), use 0 instead
    (deprecated since 1.14)

    (gh-28254)

  • Passingshape=None to functions with a non-optional shape argument
    errors, use() instead (deprecated since 1.20)

    (gh-28254)

  • Inexact matches formode andsearchside raise (deprecated since
    1.20)

    (gh-28254)

  • Setting__array_finalize__ = None errors (deprecated since 1.23)

    (gh-28254)

  • np.fromfile andnp.fromstring error on bad data, previously they
    would guess (deprecated since 1.18)

    (gh-28254)

  • datetime64 andtimedelta64 construction with a tuple no longer
    accepts anevent value, either use a two-tuple of (unit, num) or a
    4-tuple of (unit, num, den, 1) (deprecated since 1.14)

    (gh-28254)

  • When constructing adtype from a class with adtype attribute,
    that attribute must be a dtype-instance rather than a thing that can
    be parsed as a dtype instance (deprecated in 1.19). At some point
    the whole construct of using a dtype attribute will be deprecated
    (see#25306)

    (gh-28254)

  • Passing booleans as partition index errors (deprecated since 1.23)

    (gh-28254)

  • Out-of-bounds indexes error even on empty arrays (deprecated since
    1.20)

    (gh-28254)

  • np.tostring has been removed, usetobytes instead (deprecated
    since 1.19)

    (gh-28254)

  • Disallow make a non-writeable array writeable for arrays with a base
    that do not own their data (deprecated since 1.17)

    (gh-28254)

  • concatenate() withaxis=None usessame-kind casting by
    default, notunsafe (deprecated since 1.20)

    (gh-28254)

  • Unpickling a scalar with object dtype errors (deprecated since 1.20)

    (gh-28254)

  • The binary mode offromstring now errors, usefrombuffer instead
    (deprecated since 1.14)

    (gh-28254)

  • Convertingnp.inexact ornp.floating to a dtype errors
    (deprecated since 1.19)

    (gh-28254)

  • Convertingnp.complex,np.integer,np.signedinteger,
    np.unsignedinteger,np.generic to a dtype errors (deprecated
    since 1.19)

    (gh-28254)

  • The Python built-inround errors for complex scalars. Use
    np.round orscalar.round instead (deprecated since 1.19)

    (gh-28254)

  • 'np.bool' scalars can no longer be interpreted as an index
    (deprecated since 1.19)

    (gh-28254)

  • Parsing an integer via a float string is no longer supported.
    (deprecated since 1.23) To avoid this error you can

    • make sure the original data is stored as integers.
    • use theconverters=float keyword argument.
    • Usenp.loadtxt(...).astype(np.int64)

    (gh-28254)

  • The use of a length 1 tuple for the ufuncsignature errors. Use
    dtype or fill the tuple withNone (deprecated since 1.19)

    (gh-28254)

  • Special handling of matrix is in np.outer is removed. Convert to a
    ndarray viamatrix.A (deprecated since 1.20)

    (gh-28254)

  • Removed thenp.compat package source code (removed in 2.0)

    (gh-28961)

C API changes

  • NpyIter_GetTransferFlags is now available to check if the iterator
    needs the Python API or if casts may cause floating point errors
    (FPE). FPEs can for example be set when castingfloat64(1e300) to
    float32 (overflow to infinity) or a NaN to an integer (invalid
    value).

    (gh-27883)

  • NpyIter now has no limit on the number of operands it supports.

    (gh-28080)

NewNpyIter_GetTransferFlags andNpyIter_IterationNeedsAPI change

NumPy now has the newNpyIter_GetTransferFlags function as a more
precise way checking of iterator/buffering needs. I.e. whether the
Python API/GIL is required or floating point errors may occur. This
function is also faster if you already know your needs without
buffering.

TheNpyIter_IterationNeedsAPI function now performs all the checks
that were previously performed at setup time. While it was never
necessary to call it multiple times, doing so will now have a larger
cost.

(gh-27998)

New Features

  • The type parameter ofnp.dtype now defaults totyping.Any. This
    way, static type-checkers will inferdtype: np.dtype as
    dtype: np.dtype[Any], without reporting an error.

    (gh-28669)

  • Static type-checkers now interpret:

    • _: np.ndarray as_: npt.NDArray[typing.Any].
    • _: np.flatiter as_: np.flatiter[np.ndarray].

    This is because their type parameters now have default values.

    (gh-28940)

NumPy now registers its pkg-config paths with thepkgconf PyPI package

Thepkgconf PyPI
package provides an interface for projects like NumPy to register their
own paths to be added to the pkg-config search path. This means that
when usingpkgconf
from PyPI, NumPy will be discoverable without needin...

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v2.3.0rc1 (May 25, 2025)

25 May 15:39
v2.3.0rc1
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Pre-release

NumPy 2.3.0 Release Notes

The NumPy 2.3.0 release continues the work to improve free threaded
Python support and annotations together with the usual set of bug fixes.
It is unusual in the number of expired deprecations and the number of
code modernizations and style cleanups. The latter may not be visible to
users, but is important for code maintenance over the long term. Note
that we have also upgraded from manylinux2014 to manylinux_2_28.

There are known test failures in the rc1 release involving MyPy and
PyPy. The cause of both has been determined and fixes will be applied
before the final release. The current Windows on ARM wheels also lack
OpenBLAS, but they should suffice for initial downstream testing.
OpenBLAS will be incorporated in those wheels when it becomes available.

This release supports Python versions 3.11-3.13, Python 3.14 will be
supported when it is released.

Highlights

  • Interactive examples in the NumPy documentation.
  • Building NumPy with OpenMP Parallelization.
  • Preliminary support for Windows on ARM.
  • Improved support for free threaded Python.
  • Improved annotations.

New functions

New functionnumpy.strings.slice

The new functionnumpy.strings.slice was added, which implements fast
native slicing of string arrays. It supports the full slicing API
including negative slice offsets and steps.

(gh-27789)

Deprecations

  • Thenumpy.typing.mypy_plugin has been deprecated in favor of
    platform-agnostic static type inference. Please remove
    numpy.typing.mypy_plugin from theplugins section of your mypy
    configuration. If this change results in new errors being reported,
    kindly open an issue.

    (gh-28129)

  • Thenumpy.typing.NBitBase type has been deprecated and will be
    removed in a future version.

    This type was previously intended to be used as a generic upper
    bound for type-parameters, for example:

    importnumpyasnpimportnumpy.typingasnptdeff[NT:npt.NBitBase](x:np.complexfloating[NT])->np.floating[NT]: ...

    But in NumPy 2.2.0,float64 andcomplex128 were changed to
    concrete subtypes, causing static type-checkers to reject
    x: np.float64 = f(np.complex128(42j)).

    So instead, the better approach is to usetyping.overload:

    importnumpyasnpfromtypingimportoverload@overloaddeff(x:np.complex64)->np.float32: ...@overloaddeff(x:np.complex128)->np.float64: ...@overloaddeff(x:np.clongdouble)->np.longdouble: ...

    (gh-28884)

Expired deprecations

  • Remove deprecated macros likeNPY_OWNDATA from Cython interfaces
    in favor ofNPY_ARRAY_OWNDATA (deprecated since 1.7)

    (gh-28254)

  • Removenumpy/npy_1_7_deprecated_api.h and C macros like
    NPY_OWNDATA in favor ofNPY_ARRAY_OWNDATA (deprecated since 1.7)

    (gh-28254)

  • Remove aliasgenerate_divbyzero_error to
    npy_set_floatstatus_divbyzero andgenerate_overflow_error to
    npy_set_floatstatus_overflow (deprecated since 1.10)

    (gh-28254)

  • Removenp.tostring (deprecated since 1.19)

    (gh-28254)

  • Raise onnp.conjugate of non-numeric types (deprecated since 1.13)

    (gh-28254)

  • Raise when usingnp.bincount(...minlength=None), use 0 instead
    (deprecated since 1.14)

    (gh-28254)

  • Passingshape=None to functions with a non-optional shape argument
    errors, use() instead (deprecated since 1.20)

    (gh-28254)

  • Inexact matches formode andsearchside raise (deprecated since
    1.20)

    (gh-28254)

  • Setting__array_finalize__ = None errors (deprecated since 1.23)

    (gh-28254)

  • np.fromfile andnp.fromstring error on bad data, previously they
    would guess (deprecated since 1.18)

    (gh-28254)

  • datetime64 andtimedelta64 construction with a tuple no longer
    accepts anevent value, either use a two-tuple of (unit, num) or a
    4-tuple of (unit, num, den, 1) (deprecated since 1.14)

    (gh-28254)

  • When constructing adtype from a class with adtype attribute,
    that attribute must be a dtype-instance rather than a thing that can
    be parsed as a dtype instance (deprecated in 1.19). At some point
    the whole construct of using a dtype attribute will be deprecated
    (see#25306)

    (gh-28254)

  • Passing booleans as partition index errors (deprecated since 1.23)

    (gh-28254)

  • Out-of-bounds indexes error even on empty arrays (deprecated since
    1.20)

    (gh-28254)

  • np.tostring has been removed, usetobytes instead (deprecated
    since 1.19)

    (gh-28254)

  • Disallow make a non-writeable array writeable for arrays with a base
    that do not own their data (deprecated since 1.17)

    (gh-28254)

  • concatenate() withaxis=None usessame-kind casting by
    default, notunsafe (deprecated since 1.20)

    (gh-28254)

  • Unpickling a scalar with object dtype errors (deprecated since 1.20)

    (gh-28254)

  • The binary mode offromstring now errors, usefrombuffer instead
    (deprecated since 1.14)

    (gh-28254)

  • Convertingnp.inexact ornp.floating to a dtype errors
    (deprecated since 1.19)

    (gh-28254)

  • Convertingnp.complex,np.integer,np.signedinteger,
    np.unsignedinteger,np.generic to a dtype errors (deprecated
    since 1.19)

    (gh-28254)

  • The Python built-inround errors for complex scalars. Use
    np.round orscalar.round instead (deprecated since 1.19)

    (gh-28254)

  • 'np.bool' scalars can no longer be interpreted as an index
    (deprecated since 1.19)

    (gh-28254)

  • Parsing an integer via a float string is no longer supported.
    (deprecated since 1.23) To avoid this error you can

    • make sure the original data is stored as integers.
    • use theconverters=float keyword argument.
    • Usenp.loadtxt(...).astype(np.int64)

    (gh-28254)

  • The use of a length 1 tuple for the ufuncsignature errors. Use
    dtype or fill the tuple withNone (deprecated since 1.19)

    (gh-28254)

  • Special handling of matrix is in np.outer is removed. Convert to a
    ndarray viamatrix.A (deprecated since 1.20)

    (gh-28254)

  • Removed thenp.compat package source code (removed in 2.0)

    (gh-28961)

C API changes

  • NpyIter_GetTransferFlags is now available to check if the iterator
    needs the Python API or if casts may cause floating point errors
    (FPE). FPEs can for example be set when castingfloat64(1e300) to
    float32 (overflow to infinity) or a NaN to an integer (invalid
    value).

    (gh-27883)

  • NpyIter now has no limit on the number of operands it supports.

    (gh-28080)

NewNpyIter_GetTransferFlags andNpyIter_IterationNeedsAPI change

NumPy now has the newNpyIter_GetTransferFlags function as a more
precise way checking of iterator/buffering needs. I.e. whether the
Python API/GIL is required or floating point errors may occur. This
function is also faster if you already know your needs without
buffering.

TheNpyIter_IterationNeedsAPI function now performs all the checks
that were previously performed at setup time. While it was never
necessary to call it multiple times, doing so will now have a larger
cost.

(gh-27998)

New Features

  • The type parameter ofnp.dtype now defaults totyping.Any. This
    way, static type-checkers will inferdtype: np.dtype as
    dtype: np.dtype[Any], without reporting an error.

    (gh-28669)

  • Static type-checkers now interpret:

    • _: np.ndarray as_: npt.NDArray[typing.Any].
    • _: np.flatiter as_: np.flatiter[np.ndarray].

    This is because their type parameters now have default values.

    (gh-28940)

NumPy now registers its pkg-config paths with thepkgconf PyPI package

Thepkgconf PyPI
package provides an interface for projects like NumPy to register their
own paths to be added to the pkg-config search path...

Read more
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v2.2.6 (May 17, 2025)

17 May 22:45
v2.2.6
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NumPy 2.2.6 Release Notes

NumPy 2.2.6 is a patch release that fixes bugs found after the 2.2.5
release. It is a mix of typing fixes/improvements as well as the normal
bug fixes and some CI maintenance.

This release supports Python versions 3.10-3.13.

Contributors

A total of 8 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

  • Charles Harris
  • Ilhan Polat
  • Joren Hammudoglu
  • Marco Gorelli +
  • Matti Picus
  • Nathan Goldbaum
  • Peter Hawkins
  • Sayed Adel

Pull requests merged

A total of 11 pull requests were merged for this release.

  • #28778: MAINT: Prepare 2.2.x for further development
  • #28851: BLD: Update vendor-meson to fix module_feature conflicts arguments...
  • #28852: BUG: fix heap buffer overflow in np.strings.find
  • #28853: TYP: fixNDArray[floating] + float return type
  • #28864: BUG: fix stringdtype singleton thread safety
  • #28865: MAINT: use OpenBLAS 0.3.29
  • #28889: MAINT: from_dlpack thread safety fixes
  • #28913: TYP: Fix non-existentCanIndex annotation inndarray.setfield
  • #28915: MAINT: Avoid dereferencing/strict aliasing warnings
  • #28916: BUG: Fix missing check for PyErr_Occurred() in _pyarray_correlate.
  • #28966: TYP: reject complex scalar types in ndarray.__ifloordiv__

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v2.2.5 (Apr 19, 2025)

19 Apr 23:36
v2.2.5
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NumPy 2.2.5 Release Notes

NumPy 2.2.5 is a patch release that fixes bugs found after the 2.2.4
release. It has a large number of typing fixes/improvements as well as
the normal bug fixes and some CI maintenance.

This release supports Python versions 3.10-3.13.

Contributors

A total of 7 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

  • Charles Harris
  • Joren Hammudoglu
  • Baskar Gopinath +
  • Nathan Goldbaum
  • Nicholas Christensen +
  • Sayed Adel
  • karl +

Pull requests merged

A total of 19 pull requests were merged for this release.

  • #28545: MAINT: Prepare 2.2.x for further development
  • #28582: BUG: Fix return type of NpyIter_GetIterNext in Cython declarations
  • #28583: BUG: avoid deadlocks with C++ shared mutex in dispatch cache
  • #28585: TYP: fix typing errors in_core.strings
  • #28631: MAINT, CI: Update Ubuntu to 22.04 in azure-pipelines
  • #28632: BUG: Set writeable flag for writeable dlpacks.
  • #28633: BUG: Fix crackfortran parsing error when a division occurs within...
  • #28650: TYP: fixndarray.tolist() and.item() for unknown dtype
  • #28654: BUG: fix deepcopying StringDType arrays (#28643)
  • #28661: TYP: Accept objects thatwrite() tostr insavetxt
  • #28663: CI: Replace QEMU armhf with native (32-bit compatibility mode)
  • #28682: SIMD: Resolve Highway QSort symbol linking error on aarch32/ASIMD
  • #28683: TYP: add missing"b1" literals fordtype[bool]
  • #28705: TYP: Fix false rejection ofNDArray[object_].__abs__()
  • #28706: TYP: Fix inconsistentNDArray[float64].__[r]truediv__ return...
  • #28723: TYP: fix string-likendarray rich comparison operators
  • #28758: TYP: some[arg]partition fixes
  • #28772: TYP: fix incorrectrandom.Generator.integers return type
  • #28774: TYP: fixcount_nonzero signature

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2.2.4 (Mar 16, 2025)

16 Mar 18:35
v2.2.4
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charris Charles Harris
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NumPy 2.2.4 Release Notes

NumPy 2.2.4 is a patch release that fixes bugs found after the 2.2.3
release. There are a large number of typing improvements, the rest of
the changes are the usual mix of bugfixes and platform maintenace.

This release supports Python versions 3.10-3.13.

Contributors

A total of 15 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

  • Abhishek Kumar
  • Andrej Zhilenkov
  • Andrew Nelson
  • Charles Harris
  • Giovanni Del Monte
  • Guan Ming(Wesley) Chiu +
  • Jonathan Albrecht +
  • Joren Hammudoglu
  • Mark Harfouche
  • Matthieu Darbois
  • Nathan Goldbaum
  • Pieter Eendebak
  • Sebastian Berg
  • Tyler Reddy
  • lvllvl +

Pull requests merged

A total of 17 pull requests were merged for this release.

  • #28333: MAINT: Prepare 2.2.x for further development.
  • #28348: TYP: fix positional- and keyword-only params in astype, cross...
  • #28377: MAINT: Update FreeBSD version and fix test failure
  • #28379: BUG: numpy.loadtxt reads only 50000 lines when skip_rows >= max_rows
  • #28385: BUG: Make np.nonzero threading safe
  • #28420: BUG: safer bincount casting (backport to 2.2.x)
  • #28422: BUG: Fix building on s390x with clang
  • #28423: CI: use QEMU 9.2.2 for Linux Qemu tests
  • #28424: BUG: skip legacy dtype multithreaded test on 32 bit runners
  • #28435: BUG: Fix searchsorted and CheckFromAny byte-swapping logic
  • #28449: BUG: sanity check__array_interface__ number of dimensions
  • #28510: MAINT: Hide decorator from pytest traceback
  • #28512: TYP: Typing fixes backported from#28452,#28491,#28494
  • #28521: TYP: Backport fixes from#28505,#28506,#28508, and#28511
  • #28533: TYP: Backport typing fixes from main (2)
  • #28534: TYP: Backport typing fixes from main (3)
  • #28542: TYP: Backport typing fixes from main (4)

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SHA256

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