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Release Notes
scipy/scipy (scipy)
### [`v1.13.1`](https://togithub.com/scipy/scipy/releases/tag/v1.13.1): SciPy 1.13.1
[Compare Source](https://togithub.com/scipy/scipy/compare/v1.13.0...v1.13.1)
# SciPy 1.13.1 Release Notes
SciPy `1.13.1` is a bug-fix release with no new features
compared to `1.13.0`. The version of OpenBLAS shipped with
the PyPI binaries has been increased to `0.3.27`.
# Authors
- Name (commits)
- h-vetinari (1)
- Jake Bowhay (2)
- Evgeni Burovski (6)
- Sean Cheah (2)
- Lucas Colley (2)
- DWesl (2)
- Ralf Gommers (7)
- Ben Greiner (1) +
- Matt Haberland (2)
- Gregory R. Lee (1)
- Philip Loche (1) +
- Sijo Valayakkad Manikandan (1) +
- Matti Picus (1)
- Tyler Reddy (62)
- Atsushi Sakai (1)
- Daniel Schmitz (2)
- Dan Schult (3)
- Scott Shambaugh (2)
- Edgar Andrés Margffoy Tuay (1)
A total of 19 people contributed to this release.
People with a "+" by their names contributed a patch for the first time.
This list of names is automatically generated, and may not be fully complete.
### [`v1.13.0`](https://togithub.com/scipy/scipy/releases/tag/v1.13.0): SciPy 1.13.0
[Compare Source](https://togithub.com/scipy/scipy/compare/v1.12.0...v1.13.0)
# SciPy 1.13.0 Release Notes
SciPy `1.13.0` is the culmination of 3 months of hard work. This
out-of-band release aims to support NumPy `2.0.0`, and is backwards
compatible to NumPy `1.22.4`. The version of OpenBLAS used to build
the PyPI wheels has been increased to `0.3.26.dev`.
This release requires Python 3.9+ and NumPy 1.22.4 or greater.
For running on PyPy, PyPy3 6.0+ is required.
# 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
- The `terminal` attribute of `scipy.integrate.solve_ivp` `events`
callables now additionally accepts integer values to specify a number
of occurrences required for termination, rather than the previous restriction
of only accepting a `bool` value to terminate on the first registered
event.
# `scipy.io` improvements
- `scipy.io.wavfile.write` has improved `dtype` input validation.
# `scipy.interpolate` improvements
- The Modified Akima Interpolation has been added to
`interpolate.Akima1DInterpolator`, available via the new `method`
argument.
- New method `BSpline.insert_knot` inserts a knot into a `BSpline` instance.
This routine is similar to the module-level `scipy.interpolate.insert`
function, and works with the BSpline objects instead of `tck` tuples.
- `RegularGridInterpolator` gained the functionality to compute derivatives
in place. For instance, `RegularGridInterolator((x, y), values,
method="cubic")(xi, nu=(1, 1))` evaluates the mixed second derivative,
:math:`\partial^2 / \partial x \partial y` at `xi`.
- Performance characteristics of tensor-product spline methods of
`RegularGridInterpolator` have been changed: evaluations should be
significantly faster, while construction might be slower. If you experience
issues with construction times, you may need to experiment with optional
keyword arguments `solver` and `solver_args`. Previous behavior (fast
construction, slow evaluations) can be obtained via `"*_legacy"` methods:
`method="cubic_legacy"` is exactly equivalent to `method="cubic"` in
previous releases. See `gh-19633` for details.
# `scipy.signal` improvements
- Many filter design functions now have improved input validation for the
sampling frequency (`fs`).
# `scipy.sparse` improvements
- `coo_array` now supports 1D shapes, and has additional 1D support for
`min`, `max`, `argmin`, and `argmax`. The DOK format now has
preliminary 1D support as well, though only supports simple integer indices
at the time of writing.
- Experimental support has been added for `pydata/sparse` array inputs to
`scipy.sparse.csgraph`.
- `dok_array` and `dok_matrix` now have proper implementations of
`fromkeys`.
- `csr` and `csc` formats now have improved `setdiag` performance.
# `scipy.spatial` improvements
- `voronoi_plot_2d` now draws Voronoi edges to infinity more clearly
when the aspect ratio is skewed.
# `scipy.special` improvements
- All Fortran code, namely, `AMOS`, `specfun`, and `cdflib` libraries
that the majority of special functions depend on, is ported to Cython/C.
- The function `factorialk` now also supports faster, approximate
calculation using `exact=False`.
# `scipy.stats` improvements
- `scipy.stats.rankdata` and `scipy.stats.wilcoxon` have been vectorized,
improving their performance and the performance of hypothesis tests that
depend on them.
- `stats.mannwhitneyu` should now be faster due to a vectorized statistic
calculation, improved caching, improved exploitation of symmetry, and a
memory reduction. `PermutationMethod` support was also added.
- `scipy.stats.mood` now has `nan_policy` and `keepdims` support.
- `scipy.stats.brunnermunzel` now has `axis` and `keepdims` support.
- `scipy.stats.friedmanchisquare`, `scipy.stats.shapiro`,
`scipy.stats.normaltest`, `scipy.stats.skewtest`,
`scipy.stats.kurtosistest`, `scipy.stats.f_oneway`,
`scipy.stats.alexandergovern`, `scipy.stats.combine_pvalues`, and
`scipy.stats.kstest` have gained `axis`, `nan_policy` and
`keepdims` support.
- `scipy.stats.boxcox_normmax` has gained a `ymax` parameter to allow user
specification of the maximum value of the transformed data.
- `scipy.stats.vonmises` `pdf` method has been extended to support
`kappa=0`. The `fit` method is also more performant due to the use of
non-trivial bounds to solve for `kappa`.
- High order `moment` calculations for `scipy.stats.powerlaw` are now more
accurate.
- The `fit` methods of `scipy.stats.gamma` (with `method='mm'`) and
`scipy.stats.loglaplace` are faster and more reliable.
- `scipy.stats.goodness_of_fit` now supports the use of a custom `statistic`
provided by the user.
- `scipy.stats.wilcoxon` now supports `PermutationMethod`, enabling
calculation of accurate p-values in the presence of ties and zeros.
- `scipy.stats.monte_carlo_test` now has improved robustness in the face of
numerical noise.
- `scipy.stats.wasserstein_distance_nd` was introduced to compute the
Wasserstein-1 distance between two N-D discrete distributions.
# 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`.
# Backwards incompatible changes
# Other changes
- The second argument of `scipy.stats.moment` has been renamed to `order`
while maintaining backward compatibility.
# Authors
- Name (commits)
- h-vetinari (50)
- acceptacross (1) +
- Petteri Aimonen (1) +
- Francis Allanah (2) +
- Jonas Kock am Brink (1) +
- anupriyakkumari (12) +
- Aman Atman (2) +
- Aaditya Bansal (1) +
- Christoph Baumgarten (2)
- Sebastian Berg (4)
- Nicolas Bloyet (2) +
- Matt Borland (1)
- Jonas Bosse (1) +
- Jake Bowhay (25)
- Matthew Brett (1)
- Dietrich Brunn (7)
- Evgeni Burovski (65)
- Matthias Bussonnier (4)
- Tim Butters (1) +
- Cale (1) +
- CJ Carey (5)
- Thomas A Caswell (1)
- Sean Cheah (44) +
- Lucas Colley (97)
- com3dian (1)
- Gianluca Detommaso (1) +
- Thomas Duvernay (1)
- DWesl (2)
- f380cedric (1) +
- fancidev (13) +
- Daniel Garcia (1) +
- Lukas Geiger (3)
- Ralf Gommers (147)
- Matt Haberland (81)
- Tessa van der Heiden (2) +
- Shawn Hsu (1) +
- inky (3) +
- Jannes Münchmeyer (2) +
- Aditya Vidyadhar Kamath (2) +
- Agriya Khetarpal (1) +
- Andrew Landau (1) +
- Eric Larson (7)
- Zhen-Qi Liu (1) +
- Christian Lorentzen (2)
- Adam Lugowski (4)
- m-maggi (6) +
- Chethin Manage (1) +
- Ben Mares (1)
- Chris Markiewicz (1) +
- Mateusz Sokół (3)
- Daniel McCloy (1) +
- Melissa Weber Mendonça (6)
- Josue Melka (1)
- Michał Górny (4)
- Juan Montesinos (1) +
- Juan F. Montesinos (1) +
- Takumasa Nakamura (1)
- Andrew Nelson (27)
- Praveer Nidamaluri (1)
- Yagiz Olmez (5) +
- Dimitri Papadopoulos Orfanos (1)
- Drew Parsons (1) +
- Tirth Patel (7)
- Pearu Peterson (1)
- Matti Picus (3)
- Rambaud Pierrick (1) +
- Ilhan Polat (30)
- Quentin Barthélemy (1)
- Tyler Reddy (117)
- Pamphile Roy (10)
- Atsushi Sakai (8)
- Daniel Schmitz (10)
- Dan Schult (17)
- Eli Schwartz (4)
- Stefanie Senger (1) +
- Scott Shambaugh (2)
- Kevin Sheppard (2)
- sidsrinivasan (4) +
- Samuel St-Jean (1)
- Albert Steppi (31)
- Adam J. Stewart (4)
- Kai Striega (3)
- Ruikang Sun (1) +
- Mike Taves (1)
- Nicolas Tessore (3)
- Benedict T Thekkel (1) +
- Will Tirone (4)
- Jacob Vanderplas (2)
- Christian Veenhuis (1)
- Isaac Virshup (2)
- Ben Wallace (1) +
- Xuefeng Xu (3)
- Xiao Yuan (5)
- Irwin Zaid (8)
- Elmar Zander (1) +
- Mathias Zechmeister (1) +
A total of 96 people contributed to this release.
People with a "+" by their names contributed a patch for the first time.
This list of names is automatically generated, and may not be fully complete.
Configuration
📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).
🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.
♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about these updates again.
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This PR contains the following updates:
== 1.12.0->==1.13.1==1.5.4->==1.13.1Release Notes
scipy/scipy (scipy)
### [`v1.13.1`](https://togithub.com/scipy/scipy/releases/tag/v1.13.1): SciPy 1.13.1 [Compare Source](https://togithub.com/scipy/scipy/compare/v1.13.0...v1.13.1) # SciPy 1.13.1 Release Notes SciPy `1.13.1` is a bug-fix release with no new features compared to `1.13.0`. The version of OpenBLAS shipped with the PyPI binaries has been increased to `0.3.27`. # Authors - Name (commits) - h-vetinari (1) - Jake Bowhay (2) - Evgeni Burovski (6) - Sean Cheah (2) - Lucas Colley (2) - DWesl (2) - Ralf Gommers (7) - Ben Greiner (1) + - Matt Haberland (2) - Gregory R. Lee (1) - Philip Loche (1) + - Sijo Valayakkad Manikandan (1) + - Matti Picus (1) - Tyler Reddy (62) - Atsushi Sakai (1) - Daniel Schmitz (2) - Dan Schult (3) - Scott Shambaugh (2) - Edgar Andrés Margffoy Tuay (1) A total of 19 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete. ### [`v1.13.0`](https://togithub.com/scipy/scipy/releases/tag/v1.13.0): SciPy 1.13.0 [Compare Source](https://togithub.com/scipy/scipy/compare/v1.12.0...v1.13.0) # SciPy 1.13.0 Release Notes SciPy `1.13.0` is the culmination of 3 months of hard work. This out-of-band release aims to support NumPy `2.0.0`, and is backwards compatible to NumPy `1.22.4`. The version of OpenBLAS used to build the PyPI wheels has been increased to `0.3.26.dev`. This release requires Python 3.9+ and NumPy 1.22.4 or greater. For running on PyPy, PyPy3 6.0+ is required. # 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 - The `terminal` attribute of `scipy.integrate.solve_ivp` `events` callables now additionally accepts integer values to specify a number of occurrences required for termination, rather than the previous restriction of only accepting a `bool` value to terminate on the first registered event. # `scipy.io` improvements - `scipy.io.wavfile.write` has improved `dtype` input validation. # `scipy.interpolate` improvements - The Modified Akima Interpolation has been added to `interpolate.Akima1DInterpolator`, available via the new `method` argument. - New method `BSpline.insert_knot` inserts a knot into a `BSpline` instance. This routine is similar to the module-level `scipy.interpolate.insert` function, and works with the BSpline objects instead of `tck` tuples. - `RegularGridInterpolator` gained the functionality to compute derivatives in place. For instance, `RegularGridInterolator((x, y), values, method="cubic")(xi, nu=(1, 1))` evaluates the mixed second derivative, :math:`\partial^2 / \partial x \partial y` at `xi`. - Performance characteristics of tensor-product spline methods of `RegularGridInterpolator` have been changed: evaluations should be significantly faster, while construction might be slower. If you experience issues with construction times, you may need to experiment with optional keyword arguments `solver` and `solver_args`. Previous behavior (fast construction, slow evaluations) can be obtained via `"*_legacy"` methods: `method="cubic_legacy"` is exactly equivalent to `method="cubic"` in previous releases. See `gh-19633` for details. # `scipy.signal` improvements - Many filter design functions now have improved input validation for the sampling frequency (`fs`). # `scipy.sparse` improvements - `coo_array` now supports 1D shapes, and has additional 1D support for `min`, `max`, `argmin`, and `argmax`. The DOK format now has preliminary 1D support as well, though only supports simple integer indices at the time of writing. - Experimental support has been added for `pydata/sparse` array inputs to `scipy.sparse.csgraph`. - `dok_array` and `dok_matrix` now have proper implementations of `fromkeys`. - `csr` and `csc` formats now have improved `setdiag` performance. # `scipy.spatial` improvements - `voronoi_plot_2d` now draws Voronoi edges to infinity more clearly when the aspect ratio is skewed. # `scipy.special` improvements - All Fortran code, namely, `AMOS`, `specfun`, and `cdflib` libraries that the majority of special functions depend on, is ported to Cython/C. - The function `factorialk` now also supports faster, approximate calculation using `exact=False`. # `scipy.stats` improvements - `scipy.stats.rankdata` and `scipy.stats.wilcoxon` have been vectorized, improving their performance and the performance of hypothesis tests that depend on them. - `stats.mannwhitneyu` should now be faster due to a vectorized statistic calculation, improved caching, improved exploitation of symmetry, and a memory reduction. `PermutationMethod` support was also added. - `scipy.stats.mood` now has `nan_policy` and `keepdims` support. - `scipy.stats.brunnermunzel` now has `axis` and `keepdims` support. - `scipy.stats.friedmanchisquare`, `scipy.stats.shapiro`, `scipy.stats.normaltest`, `scipy.stats.skewtest`, `scipy.stats.kurtosistest`, `scipy.stats.f_oneway`, `scipy.stats.alexandergovern`, `scipy.stats.combine_pvalues`, and `scipy.stats.kstest` have gained `axis`, `nan_policy` and `keepdims` support. - `scipy.stats.boxcox_normmax` has gained a `ymax` parameter to allow user specification of the maximum value of the transformed data. - `scipy.stats.vonmises` `pdf` method has been extended to support `kappa=0`. The `fit` method is also more performant due to the use of non-trivial bounds to solve for `kappa`. - High order `moment` calculations for `scipy.stats.powerlaw` are now more accurate. - The `fit` methods of `scipy.stats.gamma` (with `method='mm'`) and `scipy.stats.loglaplace` are faster and more reliable. - `scipy.stats.goodness_of_fit` now supports the use of a custom `statistic` provided by the user. - `scipy.stats.wilcoxon` now supports `PermutationMethod`, enabling calculation of accurate p-values in the presence of ties and zeros. - `scipy.stats.monte_carlo_test` now has improved robustness in the face of numerical noise. - `scipy.stats.wasserstein_distance_nd` was introduced to compute the Wasserstein-1 distance between two N-D discrete distributions. # 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`. # Backwards incompatible changes # Other changes - The second argument of `scipy.stats.moment` has been renamed to `order` while maintaining backward compatibility. # Authors - Name (commits) - h-vetinari (50) - acceptacross (1) + - Petteri Aimonen (1) + - Francis Allanah (2) + - Jonas Kock am Brink (1) + - anupriyakkumari (12) + - Aman Atman (2) + - Aaditya Bansal (1) + - Christoph Baumgarten (2) - Sebastian Berg (4) - Nicolas Bloyet (2) + - Matt Borland (1) - Jonas Bosse (1) + - Jake Bowhay (25) - Matthew Brett (1) - Dietrich Brunn (7) - Evgeni Burovski (65) - Matthias Bussonnier (4) - Tim Butters (1) + - Cale (1) + - CJ Carey (5) - Thomas A Caswell (1) - Sean Cheah (44) + - Lucas Colley (97) - com3dian (1) - Gianluca Detommaso (1) + - Thomas Duvernay (1) - DWesl (2) - f380cedric (1) + - fancidev (13) + - Daniel Garcia (1) + - Lukas Geiger (3) - Ralf Gommers (147) - Matt Haberland (81) - Tessa van der Heiden (2) + - Shawn Hsu (1) + - inky (3) + - Jannes Münchmeyer (2) + - Aditya Vidyadhar Kamath (2) + - Agriya Khetarpal (1) + - Andrew Landau (1) + - Eric Larson (7) - Zhen-Qi Liu (1) + - Christian Lorentzen (2) - Adam Lugowski (4) - m-maggi (6) + - Chethin Manage (1) + - Ben Mares (1) - Chris Markiewicz (1) + - Mateusz Sokół (3) - Daniel McCloy (1) + - Melissa Weber Mendonça (6) - Josue Melka (1) - Michał Górny (4) - Juan Montesinos (1) + - Juan F. Montesinos (1) + - Takumasa Nakamura (1) - Andrew Nelson (27) - Praveer Nidamaluri (1) - Yagiz Olmez (5) + - Dimitri Papadopoulos Orfanos (1) - Drew Parsons (1) + - Tirth Patel (7) - Pearu Peterson (1) - Matti Picus (3) - Rambaud Pierrick (1) + - Ilhan Polat (30) - Quentin Barthélemy (1) - Tyler Reddy (117) - Pamphile Roy (10) - Atsushi Sakai (8) - Daniel Schmitz (10) - Dan Schult (17) - Eli Schwartz (4) - Stefanie Senger (1) + - Scott Shambaugh (2) - Kevin Sheppard (2) - sidsrinivasan (4) + - Samuel St-Jean (1) - Albert Steppi (31) - Adam J. Stewart (4) - Kai Striega (3) - Ruikang Sun (1) + - Mike Taves (1) - Nicolas Tessore (3) - Benedict T Thekkel (1) + - Will Tirone (4) - Jacob Vanderplas (2) - Christian Veenhuis (1) - Isaac Virshup (2) - Ben Wallace (1) + - Xuefeng Xu (3) - Xiao Yuan (5) - Irwin Zaid (8) - Elmar Zander (1) + - Mathias Zechmeister (1) + A total of 96 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.Configuration
📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).
🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.
♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about these updates again.
This PR has been generated by Mend Renovate. View repository job log here.