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chore(deps): Bump the scientific group across 1 directory with 3 updates#470

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chore(deps): Bump the scientific group across 1 directory with 3 updates#470
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Bumps the scientific group with 3 updates in the /tests directory: matplotlib, numpy and scipy.

Updates matplotlib from 3.10.9 to 3.11.0

Release notes

Sourced from matplotlib's releases.

REL: v3.11.0

The largest change within this release is a complete overhaul of text and font processing. Through the use of libraqm, HarfBuzz, SheenBidi, and an updated release of FreeType, all text should now support modern font features, enabling full internationalization in all languages. Not all features of these libraries are supported yet, but we expect this work to enable further improvements in an easier manner.

Outside of text handling, there are several improvements to 3D Axes, performance, new accessible colour sequences, flexible figure management, and more. See the release notes for more information.

REL: v3.11.0rc2

This is the second release candidate for the meso release 3.11.0.

This release candidate fixes some problems with downstream packages, removes some missed deprecations, and corrects some additional minor bugs.

REL: v3.11.0rc1

After an extended development stretch, we are pleased to announce the first release candidate of Matplotlib 3.11.0.

The largest change within this release is a complete overhaul of text and font processing. Through the use of libraqm, HarfBuzz, SheenBidi, and an updated release of FreeType, all text should now support modern font features, enabling full internationalization in all languages. Not all features of these libraries are supported yet, but we expect this work to enable further improvements in an easier manner. Due to the update to the font rendering stack, we cannot guarantee that text will be bit-for-bit perfect with previous releases, so if you are using Matplotlib for testing, it may be necessary to introduce/raise a tolerance within your tests.

Outside of text handling, there are several improvements to 3D Axes, performance, new accessible colour sequences, flexible figure management, and more. Final release notes are still being curated, but you may browse the list of new features, API changes, and all issues/pull requests on the milestone.

As a note for downstream packagers, the font libraries have only been tested against the versions bundled with the wheels. It may be possible to expand the range of requirements, or that a requirement is too broad. Please report any issues you have building against external dependencies.

Commits
  • 69c7534 REL: v3.11.0
  • b7d912b DOC: Set 3.11 as preferred stable release
  • 7c3d502 Update Security Policy for 3.11
  • 964e73d DOC: Prepare GitHub stats for 3.11 final
  • bfa2633 Bump font manager version to final release
  • d0603b2 Merge pull request #31873 from meeseeksmachine/auto-backport-of-pr-31706-on-v...
  • edf5ebc Backport PR #31706: Fix clabel manual index
  • c0e80b7 Merge pull request #31872 from meeseeksmachine/auto-backport-of-pr-31868-on-v...
  • 2a14854 Backport PR #31868: DOC: Move errorbar examples to the statistics sections
  • ea43d96 Merge pull request #31871 from meeseeksmachine/auto-backport-of-pr-31870-on-v...
  • Additional commits viewable in compare view

Updates numpy from 2.4.6 to 2.5.0

Release notes

Sourced from numpy's releases.

v2.5.0 (June 21, 2026)

NumPy 2.5.0 Release Notes

Numpy 2.5.0 is a transitional release. It drops support for Python 3.11, marking the end of distutils, and expires a large number of deprecations made in the 2.0.x release. It also improves free threading and brings sorting into compliance with the array-api standard with the addition of descending sorts. There is also a fair amount of preparation for Python 3.15, which will be supported starting with the first rc.

This release supports Python versions 3.12-3.14.

Highlights

  • Distutils has been removed,
  • Many expired deprecations, see below,
  • Many new deprecations, see below,
  • Many static typing improvements.
  • Improved support for free threading,
  • Support for descending sorts,

See New Features below for other additions.

Deprecations

  • numpy.char.chararray is deprecated. Use an ndarray with a string or bytes dtype instead.

    (gh-30605)

  • numpy.take now correctly checks if the result can be cast to the provided out=out under the same-kind rule. A DeprecationWarning is given now when this check fails. Previously, take incorrectly checked if out could be cast to the result (the wrong direction). This deprecation also affects compress and possibly other functions. (Future versions of NumPy may tighten the casting check further.)

    (gh-30615)

  • The numpy.char.[as]array functions are deprecated. Use an numpy.[as]array with a string or bytes dtype instead.

    (gh-30802)

  • Setting the dtype attribute is deprecated because mutating an array is unsafe if an array is shared, especially by multiple threads. As an alternative, you can create a view with a new dtype via array.view(dtype=new_dtype).

    (gh-29244)

... (truncated)

Commits
  • 6910b28 Merge pull request #31706 from charris/prepare-2.5.0-release
  • e0acd2b REL: Prepare for the NumPy 2.5.0 release.
  • 8d928b7 Merge pull request #31704 from charris/backport-31649
  • c2055ba MAINT: update openblas to 0.3.33.112.0 (#31649)
  • ce17c81 Merge pull request #31703 from charris/backport-31609
  • 3de6203 BUG: fix StringDType distinct-allocator bugs and add tests (#31609)
  • c723971 Merge pull request #31700 from charris/backport-31694
  • 64513b2 MAINT: Bump pypa/cibuildwheel from 3.4.1 to 4.1.0
  • 04707f0 Merge pull request #31698 from charris/try-fix-emscripten
  • 5cf0686 MAINT: Try to fix emscripten wheel build.
  • Additional commits viewable in compare view

Updates scipy from 1.17.1 to 1.18.0

Release notes

Sourced from scipy's releases.

SciPy 1.18.0 Release Notes

SciPy 1.18.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with python -Wd and check for DeprecationWarning s). Our development attention will now shift to bug-fix releases on the 1.18.x branch, and on adding new features on the main branch.

This release requires Python 3.12-3.14 and NumPy 2.0.0 or greater.

Highlights of this release

  • SciPy now supports three different build modes for BLAS and LAPACK LP64/ILP64 support, and machinery is provided for downstream cython_lapack consumers to gracefully handle LP64/ILP64 backend builds. ILP64 support has been substantially improved across the SciPy library.
  • Remaining Fortran to C translations have been completed---an experimental Fortran-free build option is now available to developers for testing purposes. Developer feedback is welcome on Fortran-free builds.
  • scipy.signal.whittaker_henderson now provides access to Whittaker-Henderson smoothing of a discrete signal.
  • A large number of scipy.stats functions now support lazy arrays and JAX JIT. Array API support has been improved substantially in SciPy, with at least 21 functions gaining new support in this release. 16 scipy.stats functions have also gained support for MArray input.

New features

scipy.fft improvements

  • SciPy's internal FFT backend has switched from pocketfft to its successor package ducc0.fft, which features several incremental improvements. The most significant of those from SciPy's perspective is probably that storage requirements for internally cached plans have been significantly reduced for most long 1D transforms. Plans that require more storage than 1MB will no longer be cached; this mainly affects huge 1D transforms of prime and near-prime sizes.

scipy.interpolate improvements

... (truncated)

Commits
  • 54ef542 REL: 1.18.0 release commit
  • a45e463 Merge pull request #25395 from tylerjereddy/treddy_prep_1.18.0_final
  • ee2442e TYP, MAINT, TST: PR 25395 revisions
  • 3225154 DOC: PR 25395 revisions
  • 14c7bd7 TYP: Fix mypy errors with pytest==9.1.0 (#25410)
  • 71522e9 DOC: revise SciPy 1.18.0 release notes
  • 92f8482 MAINT: fix errors from pytest 9.1 (#25378)
  • 7b27bf4 TST, MAINT: modernize spatial tests for pytest 10 (#25376)
  • d05b640 Merge pull request #25347 from tylerjereddy/treddy_version_bump_1.18.0rc3
  • e60fe8b REL: set to 1.18.0rc3 unreleased
  • Additional commits viewable in compare view

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Bumps the scientific group with 3 updates in the /tests directory: [matplotlib](https://github.com/matplotlib/matplotlib), [numpy](https://github.com/numpy/numpy) and [scipy](https://github.com/scipy/scipy).


Updates `matplotlib` from 3.10.9 to 3.11.0
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](matplotlib/matplotlib@v3.10.9...v3.11.0)

Updates `numpy` from 2.4.6 to 2.5.0
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.4.6...v2.5.0)

Updates `scipy` from 1.17.1 to 1.18.0
- [Release notes](https://github.com/scipy/scipy/releases)
- [Commits](scipy/scipy@v1.17.1...v1.18.0)

---
updated-dependencies:
- dependency-name: matplotlib
  dependency-version: 3.11.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: scientific
- dependency-name: numpy
  dependency-version: 2.5.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: scientific
- dependency-name: scipy
  dependency-version: 1.18.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: scientific
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jun 25, 2026
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