- Update to 1.13.0
## Highlights of this release
* Support for NumPy 2.0.0.
* Interactive examples have been added to the documentation,
allowing users to run the examples locally on embedded
Jupyterlite notebooks in their browser.
* Preliminary 1D array support for the COO and DOK sparse
formats.
* Several scipy.stats functions have gained support for
additional axis, nan_policy, and keepdims arguments.
scipy.stats also has several performance and accuracy
improvements.
## New features
* scipy.integrate improvements
* scipy.io improvements
* scipy.interpolate improvements
* scipy.signal improvements
* scipy.sparse improvements
* scipy.spatial improvements
* scipy.special improvements
* scipy.stats improvements
## Deprecated features
* Complex dtypes in PchipInterpolator and Akima1DInterpolator
have been deprecated and will raise an error in SciPy 1.15.0.
If you are trying to use the real components of the passed
array, use np.real on y.
## Other changes
* The second argument of scipy.stats.moment has been renamed to
order while maintaining backward compatibility.
- Release 1.12.0
## Highlights of this release
* Experimental support for the array API standard has been added
to part of scipy.special, and to all of scipy.fft and
scipy.cluster. There are likely to be bugs and early feedback
for usage with CuPy arrays, PyTorch tensors, and other array
API compatible libraries is appreciated. Use the
SCIPY_ARRAY_API environment variable for testing.
* A new class, ShortTimeFFT, provides a more versatile
implementation of the short-time Fourier transform (STFT), its
inverse (ISTFT) as well as the (cross-) spectrogram. It
utilizes an improved algorithm for calculating the ISTFT.
* Several new constructors have been added for sparse arrays, and
many operations now additionally support sparse arrays, further
facilitating the migration from sparse matrices.
* A large portion of the scipy.stats API now has improved support
for handling NaN values, masked arrays, and more fine-grained
shape-handling. The accuracy and performance of a number of
stats methods have been improved, and a number of new
statistical tests and distributions have been added.
## New features
* scipy.cluster improvements
* scipy.fft improvements
* scipy.integrate improvements
* scipy.interpolate improvements
* scipy.linalg improvements
* scipy.ndimage improvements
* scipy.optimize improvements
* scipy.signal improvements
* scipy.sparse improvements
* scipy.spatial improvements
* scipy.special improvements
* scipy.stats improvements
## Deprecated features
* Error messages have been made clearer for objects that don’t
exist in the public namespace and warnings sharpened for
private attributes that are not supposed to be imported at all.
* scipy.signal.cmplx_sort has been deprecated and will be removed
in SciPy 1.15. A replacement you can use is provided in the
deprecation message.
* Values the argument initial of
scipy.integrate.cumulative_trapezoid other than 0 and None are
now deprecated.
* scipy.stats.rvs_ratio_uniforms is deprecated in favour of
scipy.stats.sampling.RatioUniforms
* scipy.integrate.quadrature and scipy.integrate.romberg have
been deprecated due to accuracy issues and interface
shortcomings. They will be removed in SciPy 1.15. Please use
scipy.integrate.quad instead.
* Coinciding with upcoming changes to function signatures (e.g.
removal of a deprecated keyword), we are deprecating positional
use of keyword arguments for the affected functions, which will
raise an error starting with SciPy 1.14. In some cases, this
has delayed the originally announced removal date, to give time
to respond to the second part of the deprecation. Affected
functions are:
- linalg.{eigh, eigvalsh, pinv}
- integrate.simpson
- signal.{firls, firwin, firwin2, remez}
- sparse.linalg.{bicg, bicgstab, cg, cgs, gcrotmk, gmres,
lgmres, minres, qmr, tfqmr}
- special.comb
- stats.kendalltau
* All wavelet functions have been deprecated, as PyWavelets
provides suitable implementations; affected functions are:
signal.{daub, qmf, cascade, morlet, morlet2, ricker, cwt}
* scipy.integrate.trapz, scipy.integrate.cumtrapz, and
scipy.integrate.simps have been deprecated in favour of
scipy.integrate.trapezoid,
scipy.integrate.cumulative_trapezoid, and
scipy.integrate.simpson respectively and will be removed in
SciPy 1.14.
* The tol argument of
scipy.sparse.linalg.{bcg,bicstab,cg,cgs,gcrotmk,gmres,lgmres,
minres,qmr,tfqmr}
is now deprecated in favour of rtol and will be removed in
SciPy 1.14. Furthermore, the default value of atol for these
functions is due to change to 0.0 in SciPy 1.14.
## Expired Deprecations
* There is an ongoing effort to follow through on long-standing
deprecations. The following previously deprecated features are
affected:
* The centered keyword of scipy.stats.qmc.LatinHypercube has been
removed. Use scrambled=False instead of centered=True.
* scipy.stats.binom_test has been removed in favour of
scipy.stats.binomtest.
* In scipy.stats.iqr, the use of scale='raw' has been removed in
favour of scale=1.
* Functions from NumPy’s main namespace which were exposed in
SciPy’s main namespace, such as numpy.histogram exposed by
scipy.histogram, have been removed from SciPy’s main namespace.
Please use the functions directly from numpy.
## Other changes
* The arguments used to compile and link SciPy are now available
via show_config.
- Drop 8c96a1f742335bca283aae418763aaba62c03378.patch (merged
upstream)
- Add scipy-pr20530-f2py_error.patch gh#scipy/scipy#20530, used to
find workaround for failing HPC build gh#scipy/scipy#20535