Scientific Tools for Python
http://www.scipy.org/
SciPy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
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Source Files (show unmerged sources)
Filename | Size | Changed |
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_multibuild | 0000000082 82 Bytes | |
python-scipy.changes | 0000098529 96.2 KB | |
python-scipy.spec | 0000012276 12 KB | |
scipy-1.13.0.tar.gz | 0057204550 54.6 MB | |
scipy-datasets.tar.gz | 0001874165 1.79 MB | |
scipy-pr20530-f2py_error.patch | 0000002031 1.98 KB |
Latest Revision
Dirk Mueller (dirkmueller)
accepted
request 1169336
from
Benjamin Greiner (bnavigator)
(revision 100)
- 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
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