SciPy 1.7.0 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
1.7.x branch, and on adding new features on the master branch.
This release requires Python 3.7+ and NumPy 1.16.5 or greater.
For running on PyPy, PyPy3 6.0+ is required.
Highlights of this release
A new submodule for quasi-Monte Carlo, scipy.stats.qmc, was added
The documentation design was updated to use the same PyData-Sphinx theme as
NumPy and other ecosystem libraries.
We now vendor and leverage the Boost C++ library to enable numerous
improvements for long-standing weaknesses in scipy.stats
scipy.stats has six new distributions, eight new (or overhauled)
hypothesis tests, a new function for bootstrapping, a class that enables
fast random variate sampling and percentile point function evaluation,
and many other enhancements.
cdist and pdist distance calculations are faster for several metrics,
especially weighted cases, thanks to a rewrite to a new C++ backend framework
A new class for radial basis function interpolation, RBFInterpolator, was
added to address issues with the Rbf class.
We gratefully acknowledge the Chan-Zuckerberg Initiative Essential Open Source
Software for Science program for supporting many of the improvements toscipy.stats.
New features
scipy.cluster improvements
An optional argument, seed, has been added to kmeans and kmeans2 to
set the random generator and random state.
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Bumps scipy from 1.6.3 to 1.7.0.
Release notes
Sourced from scipy's releases.
... (truncated)
Commits
44e31b1REL: set version to 1.7.0 'final'a022547Merge pull request #14245 from stefanv/1.7.x-release-notes-ecosystem8e623f8Rephrase collection of libraries that use PyData-Sphinx165731aREL: set version to 1.7.0rc248f3d64Merge pull request #14231 from tylerjereddy/treddy_170_rc2_backports3d9deb2DOC: update 1.7.0 relnotes1e6f0d4BLD: some clean upsoptimize/_highs/setup.py9ba84e3BLD: fixcython_optimizebuild config1e447d7REL: stop shipping generated Cython sources in sdist5e53a14MAINT: download-wheels missing importDependabot 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
@dependabot rebase.Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)