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May 2020
 44 participants
 47 discussions
I've been browsing the numpy source. I'm wondering about mixedmode
arithmetic on arrays. I believe the way numpy handles this is that it
never does mixed arithmetic, but instead converts arrays to a common type.
Arguably, that might be efficient for a mix of say, double and float.
Maybe not.
But for a mix of complex and a scalar type (say, CDouble * Double), it's
clearly suboptimal in efficiency.
So, do I understand this correctly? If so, is that something we should
improve?
4
6
18 Feb '23
Dear all,
I have a code using lots of "numpy.where" to make some constrained
calculations as in:
data = arange(10)
result = np.where(data == 0, 0., 1./data)
# or
data1 = arange(10)
data2 = arange(10)+1.0
result = np.where(data1 > data2, np.sqrt(data1data2), np.sqrt(data2data2))
which then produces warnings like:
/usr/bin/ipython:1: RuntimeWarning: invalid value encountered in sqrt
or for the first example:
/usr/bin/ipython:1: RuntimeWarning: divide by zero encountered in divide
How do I avoid these messages to appear?
I know that I could in principle use numpy.seterr. However, I do NOT
want to remove these warnings for other potential divide/multiply/sqrt
etc errors. Only when I am using a "where", to in fact avoid such
warnings! Note that the warnings only happen once, but since I am going
to release that code, I would like to avoid the user to get such
messages which are irrelevant here (because I am testing, with the
where, when NOT to divide by zero or take a sqrt of a negative number).
thanks!
Eric
5
4
22 Jul '21
David Froger <david.froger.info <at> gmail.com> writes:
> Hy,My question is about reading Fortran binary file (oh no this question
> again...)
I've posted this before, but I finally got it cleaned up for the Cookbook.
For this purpose I use a subclass of file that has methods for reading
unformatted Fortran data. See
http://www.scipy.org/Cookbook/FortranIO/FortranFile. I'd gladly see this in
numpy or scipy somewhere, but I'm not sure where it belongs.
> program makeArray
> implicit none
> integer,parameter:: nx=10,ny=20
> real(4),dimension(nx,ny):: ux,uy,p
> integer :: i,j
> open(11,file='uxuyp.bin',form='unformatted')
> do i = 1,nx
> do j = 1,ny
> ux(i,j) = real(i*j)
> uy(i,j) = real(i)/real(j)
> p (i,j) = real(i) + real(j)
> enddo
> enddo
> write(11) ux,uy
> write(11) p
> close(11)
> end program makeArray
When I run the above program compiled with gfortran on my Intel Mac,
I can read it back with::
>>> import numpy as np
>>> from fortranfile import FortranFile
>>> f=FortranFile('uxuyp.bin', endian='<')
>>> uxuy = f.readReals(prec='f') # 'f' for default reals
>>> len(uxuy)
400
>>> ux = np.array(uxuy[:200]).reshape((20,10)).T
>>> uy = np.array(uxuy[200:]).reshape((20,10)).T
>>> p = f.readReals('f').reshape((20,10)).T
>>> ux
array([[ 1., 2., 3., 4., 5., 6., 7., 8., 9.,
10., 11., 12., 13., 14., 15., 16., 17., 18.,
19., 20.],
[ 2., 4., 6., 8., 10., 12., 14., 16., 18.,
20., 22., 24., 26., 28., 30., 32., 34., 36.,
38., 40.],
[ 3., 6., 9., 12., 15., 18., 21., 24., 27.,
30., 33., 36., 39., 42., 45., 48., 51., 54.,
57., 60.],
[ 4., 8., 12., 16., 20., 24., 28., 32., 36.,
40., 44., 48., 52., 56., 60., 64., 68., 72.,
76., 80.],
[ 5., 10., 15., 20., 25., 30., 35., 40., 45.,
50., 55., 60., 65., 70., 75., 80., 85., 90.,
95., 100.],
[ 6., 12., 18., 24., 30., 36., 42., 48., 54.,
60., 66., 72., 78., 84., 90., 96., 102., 108.,
114., 120.],
[ 7.,ProxyConnection: keepalive
CacheControl: maxage=0
14., 21., 28., 35., 42., 49., 56., 63.,
70., 77., 84., 91., 98., 105., 112., 119., 126.,
133., 140.],
[ 8., 16., 24., 32., 40., 48., 56., 64., 72.,
80., 88., 96., 104., 112., 120., 128., 136., 144.,
152., 160.],
[ 9., 18., 27., 36., 45., 54., 63., 72., 81.,
90., 99., 108., 117., 126., 135., 144., 153., 162.,
171., 180.],
[ 10., 20., 30., 40., 50., 60., 70., 80., 90.,
100., 110., 120., 130., 140., 150., 160., 170., 180.,
190., 200.]])
>>> uy
array([[ 1. , 0.5 , 0.33333334, 0.25 ,
0.2 , 0.16666667, 0.14285715, 0.125 ,
0.11111111, 0.1 , 0.09090909, 0.08333334,
0.07692308, 0.07142857, 0.06666667, 0.0625 ,
0.05882353, 0.05555556, 0.05263158, 0.05 ],
[ 2. , 1. , 0.66666669, 0.5 ,
0.40000001, 0.33333334, 0.2857143 , 0.25 ,
0.22222222, 0.2 , 0.18181819, 0.16666667,
0.15384616, 0.14285715, 0.13333334, 0.125 ,
0.11764706, 0.11111111, 0.10526316, 0.1 ],
[ 3. , 1.5 , 1. , 0.75 ,
0.60000002, 0.5 , 0.42857143, 0.375 ,
0.33333334, 0.30000001, 0.27272728, 0.25 ,
0.23076923, 0.21428572, 0.2 , 0.1875 ,
0.17647059, 0.16666667, 0.15789473, 0.15000001],
[ 4. , 2. , 1.33333337, 1. ,
0.80000001, 0.66666669, 0.5714286 , 0.5 ,
0.44444445, 0.40000001, 0.36363637, 0.33333334,
0.30769232, 0.2857143 , 0.26666668, 0.25 ,
0.23529412, 0.22222222, 0.21052632, 0.2 ],
[ 5. , 2.5 , 1.66666663, 1.25 ,
1. , 0.83333331, 0.71428573, 0.625 ,
0.55555558, 0.5 , 0.45454547, 0.41666666,
0.38461539, 0.35714287, 0.33333334, 0.3125 ,
0.29411766, 0.27777779, 0.2631579 , 0.25 ],
[ 6. , 3. , 2. , 1.5 ,
1.20000005, 1. , 0.85714287, 0.75 ,
0.66666669, 0.60000002, 0.54545456, 0.5 ,
0.46153846, 0.42857143, 0.40000001, 0.375 ,
0.35294119, 0.33333334, 0.31578946, 0.30000001],
[ 7. , 3.5 , 2.33333325, 1.75 ,
1.39999998, 1.16666663, 1. , 0.875 ,
0.77777779, 0.69999999, 0.63636363, 0.58333331,
0.53846157, 0.5 , 0.46666667, 0.4375 ,
0.41176471, 0.3888889 , 0.36842105, 0.34999999],
[ 8. , 4. , 2.66666675, 2. ,
1.60000002, 1.33333337, 1.14285719, 1. ,
0.8888889 , 0.80000001, 0.72727275, 0.66666669,
0.61538464, 0.5714286 , 0.53333336, 0.5 ,
0.47058824, 0.44444445, 0.42105263, 0.40000001],
[ 9. , 4.5 , 3. , 2.25 ,
1.79999995, 1.5 , 1.28571427, 1.125 ,
1. , 0.89999998, 0.81818181, 0.75 ,
0.69230771, 0.64285713, 0.60000002, 0.5625 ,
0.52941179, 0.5 , 0.47368422, 0.44999999],
[ 10. , 5. , 3.33333325, 2.5 ,
2. , 1.66666663, 1.42857146, 1.25 ,
1.11111116, 1. , 0.90909094, 0.83333331,
0.76923078, 0.71428573, 0.66666669, 0.625 ,
0.58823532, 0.55555558, 0.52631581, 0.5 ]])
>>> p
array([[ 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12.,
13., 14., 15., 16., 17., 18., 19., 20., 21.],
[ 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13.,
14., 15., 16., 17., 18., 19., 20., 21., 22.],
[ 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14.,
15., 16., 17., 18., 19., 20., 21., 22., 23.],
[ 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15.,
16., 17., 18., 19., 20., 21., 22., 23., 24.],
[ 6., 7., 8., 9., 10., 11., 12., 13., 14., 15., 16.,
17., 18., 19., 20., 21., 22., 23., 24., 25.],
[ 7., 8., 9., 10., 11., 12., 13., 14., 15., 16., 17.,
18., 19., 20., 21., 22., 23., 24., 25., 26.],
[ 8., 9., 10., 11., 12., 13., 14., 15., 16., 17., 18.,
19., 20., 21., 22., 23., 24., 25., 26., 27.],
[ 9., 10., 11., 12., 13., 14., 15., 16., 17., 18., 19.,
20., 21., 22., 23., 24., 25., 26., 27., 28.],
[ 10., 11., 12., 13., 14., 15., 16., 17., 18., 19., 20.,
21., 22., 23., 24., 25., 26., 27., 28., 29.],
[ 11., 12., 13., 14., 15., 16., 17., 18., 19., 20., 21.,
22., 23., 24., 25., 26., 27., 28., 29., 30.]])
Note that you have to provide the shape information for ux and uy because
fortran writes them together as a stream of 400 numbers.
Neil
10
10
The initial stage of the NumPy community survey project in partnership with
the students and faculty from the Master’s program in Survey Methodology at
the University of Michigan and the University of Maryland has been
successfully completed.
Currently, we are looking for a volunteer to help with the back translation
of the Hindi version of the survey questionnaire (Hindi into English). If
you are available, or you know someone who would be interested to help,
please leave a comment here: https://github.com/numpy/numpysurveys/issues/1
.

Every good wish,
*Inessa Pawson*
Executive Director
Albus Code
2
2
Hi All,
On behalf of the NumPy team I am pleased to announce that
NumPy 1.19.0rc2 has been released. This NumPy release supports Python
3.63.8 and is marked by the removal of much technical debt: support for
Python 2 has been removed, many deprecations have been expired, and
documentation has been improved. The polishing of the random module
continues apace with bug fixes and better usability from Cython. Perhaps
the most interesting thing for users will be the availability of wheels for
aarch64 and PyPY.
Downstream developers should use Cython >= 0.29.16 for Python 3.8 support
and OpenBLAS >= 3.7 to avoid wrong results on the Skylake architecture. The
NumPy Wheels for this release can be downloaded from PyPI
<https://pypi.org/project/numpy/1.19.0rc2/>, source archives and release
notes are available from Github
<https://github.com/numpy/numpy/releases/tag/v1.19.0rc2>.
*Contributors*
A total of 124 people contributed to this release. People with a "+" by
their
names contributed a patch for the first time.
 Alex Henrie
 Alexandre de Siqueira +
 Andras Deak
 Andrea Sangalli +
 Andreas Klöckner +
 Andrei Shirobokov +
 Anirudh Subramanian +
 Anne Bonner
 Anton RitterGogerly +
 Benjamin TrendelkampSchroer +
 Bharat Raghunathan
 Brandt Bucher +
 Brian Wignall
 Bui Duc Minh +
 Changqing Li +
 Charles Harris
 Chris Barker
 Chris Holland +
 Christian Kastner +
 Chunlin +
 Chunlin Fang +
 Damien Caliste +
 Dan Allan
 Daniel Hrisca
 Daniel Povey +
 Dustan Levenstein +
 Emmanuelle Gouillart +
 Eric Larson
 Eric M. Bray
 Eric Mariasis +
 Eric Wieser
 Erik Welch +
 Fabio Zeiser +
 Gabriel Gerlero +
 Ganesh Kathiresan +
 Gengxin Xie +
 Guilherme Leobas
 Guillaume Peillex +
 Hameer Abbasi
 Hao Jin +
 Harshal Prakash Patankar +
 Heshy Roskes +
 Himanshu Garg +
 Huon Wilson +
 John Han +
 John Kirkham
 Jon Dufresne
 Jon Morris +
 Josh Wilson
 Justus Magin
 Kai Striega
 Kerem Hallaç +
 Kevin Sheppard
 Kirill Zinovjev +
 Marcin Podhajski +
 Mark Harfouche
 Marten van Kerkwijk
 Martin Michlmayr +
 Masashi Kishimoto +
 Mathieu Lamarre
 Matt Hancock +
 MatteoRaso +
 Matthew Harrigan
 Matthias Bussonnier
 Matti Picus
 Max Balandat +
 Maximilian Konrad +
 Maxwell Aladago
 Maxwell Bileschi +
 Melissa Weber Mendonça +
 Michael Felt
 Mike Taves
 Nico Schlömer
 Pan Jan +
 Paul Rougieux +
 Pauli Virtanen
 Peter Andreas Entschev
 PetreFlaviu Gostin +
 Pierre de Buyl
 Piotr Gaiński +
 Przemyslaw Bartosik +
 Raghuveer Devulapalli
 Rakesh Vasudevan +
 Ralf Gommers
 RenaRuirui +
 Roman Yurchak
 Ross Barnowski +
 Ryan +
 Ryan Soklaski
 Sanjeev Kumar +
 SanthoshBala18 +
 Sayed Adel +
 Sebastian Berg
 Seth Troisi
 Sha Liu +
 Siba Smarak Panigrahi +
 Simon Gasse +
 Stephan Hoyer
 Steve Dower +
 Thomas A Caswell
 Till Hoffmann +
 Tim Hoffmann
 Tina Oberoi +
 Tirth Patel
 Tyler Reddy
 Warren Weckesser
 Wojciech Rzadkowski +
 Xavier Thomas +
 Yilin LI +
 Zac HatfieldDodds +
 Zé Vinícius +
 @Adam +
 @Anthony +
 @Jim +
 @bartoszgrabowski +
 @dojafrat +
 @gamboon +
 @jfbu +
 @keremh +
 @mayeut +
 @ndunnewind +
 @nglinh +
 @shreepads +
 @sslivkoff +
Cheers,
Charles Harris
4
8
Reminder: June 01 Deadline for the 2020 John Hunter Excellence in Plotting contest!
by Madicken Munk 01 Jun '20
by Madicken Munk 01 Jun '20
01 Jun '20
Dear numpy community,
My apologies for repeated inlist and crosslist posts!
I'd like to remind everybody that the 2020 John Hunter Excellence in
Plotting Contest submission deadline is June 01  only a few days away. We
welcome and look forward to your submissions!
In memory of John Hunter, we are pleased to announce the John Hunter
Excellence in Plotting Contest for 2020. This open competition aims to
highlight the importance of data visualization to scientific progress and
showcase the capabilities of open source software.
Participants are invited to submit scientific plots to be judged by a
panel. The winning entries will be announced and displayed at SciPy 2020 or
announced in the John Hunter Excellence in Plotting Contest website and
youtube channel.
John Hunter’s family are graciously sponsoring cash prizes for the winners
in the following amounts:

1st prize: $1000

2nd prize: $750

3rd prize: $500

Entries must be submitted by June 1st to the form at
https://forms.gle/SrexmkDwiAmDc7ej7

Winners will be announced at Scipy 2020 or publicly on the John Hunter
Excellence in Plotting Contest website and youtube channel

Participants do not need to attend the Scipy conference.

Entries may take the definition of “visualization” rather broadly.
Entries may be, for example, a traditional printed plot, an interactive
visualization for the web, a dashboard, or an animation.

Source code for the plot must be provided, in the form of Python code
and/or a Jupyter notebook, along with a rendering of the plot in a widely
used format. The rendering may be, for example, PDF for print, standalone
HTML and Javascript for an interactive plot, or MPEG4 for a video. If the
original data can not be shared for reasons of size or licensing, "fake"
data may be substituted, along with an image of the plot using real data.

Each entry must include a 300500 word abstract describing the plot and
its importance for a general scientific audience.

Entries will be judged on their clarity, innovation and aesthetics, but
most importantly for their effectiveness in communicating a realworld
problem. Entrants are encouraged to submit plots that were used during the
course of research or work, rather than merely being hypothetical.

SciPy and the John Hunter Excellence in Plotting Contest organizers
reserves the right to display any and all entries, whether prizewinning or
not, at the conference, use in any materials or on its website, with
attribution to the original author(s).

Past entries can be found at https://jhepc.github.io/

Questions regarding the contest can be sent to jhepc.organizers(a)gmail.com
John Hunter Excellence in Plotting Contest CoChairs
Madicken Munk
Nelle Varoquaux
1
1
Greetings,
This is Ryan Cooper (ME professor at University of Connecticut). I've been using Numpy in my mechanical engineering courses for years now, and I'd like to build resources for newcomers to Numpy.
Here is my proposed contribution:
Advise engineering students here at UConn to build Howto notebooks for Numpy applications. This would give the students some great experience communicating concepts and procedures to a broader community and it would help future users see how to use Numpy in different applications.
Some Howto's that I had in mind would be:
* Saving and loading Numpy arrays
* Doing fast fourier transform (FFT) on timeseries data to find natural frequencies
* Solving linear sets of equations for circuits or another linear system with linear algebra
* using eigenvalues for natural frequency calculations
I'm open to other suggestions. These are some of the applications that I have current students doing in engineering work.
My question is: Would these Howto's be appopriate for the "Numpy Tutorials" (https://github.com/numpy/numpytutorials) repo?
My personal opinion is that Howto's are easier to organize and curate (for Numpy) and easier to write (for students).
Best Regards,
Ryan
Ryan C. Cooper, Ph. D.
Assistant ProfessorinResidence
University of Connecticut
Mechanical Engineering Department
Engineering II, room 314
191 Auditorium rd
Storrs, CT 06269
email: ryan.c.cooper(a)uconn.edu
2
1
BEGIN PGP SIGNED MESSAGE
Hash: SHA256
Hi all,
On behalf of the SciPy development team I'm pleased to announce
the release candidate SciPy 1.5.0rc1. Please help us test this prerelease.
Sources and binary wheels can be found at:
https://pypi.org/project/scipy/
and at:
https://github.com/scipy/scipy/releases/tag/v1.5.0rc1
<https://github.com/scipy/scipy/releases/tag/v1.4.0rc1>
One of a few ways to install the release candidate with pip:
pip install scipy==1.5.0rc1
==========================
SciPy 1.5.0 Release Notes
==========================
Note: Scipy 1.5.0 is not released yet!
SciPy 1.5.0 is the culmination of 6 months of hard work. It contains
many new features, numerous bugfixes, 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 bugfixes 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 bugfix releases on the
1.5.x branch, and on adding new features on the master branch.
This release requires Python 3.6+ and NumPy 1.14.5 or greater.
For running on PyPy, PyPy3 6.0+ and NumPy 1.15.0 are required.
Highlights of this release

 wrappers for more than a dozen new ``LAPACK`` routines are now available
in `scipy.linalg.lapack`
 Improved support for leveraging 64bit integer size from linear algebra
backends
 addition of the probability distribution for twosided onesample
KolmogorovSmirnov tests
New features
============
`scipy.cluster` improvements

Initialization of `scipy.cluster.vq.kmeans2` using ``minit="++"`` had a
quadratic complexity in the number of samples. It has been improved,
resulting
in a much faster initialization with quasilinear complexity.
`scipy.cluster.hierarchy.dendrogram` now respects the ``matplotlib`` color
palette
`scipy.fft` improvements

A new keywordonly argument ``plan`` is added to all FFT functions in this
module. It is reserved for passing in a precomputed plan from libraries
providing a FFT backend (such as ``PyFFTW`` and ``mklfft``), and it is
currently not used in SciPy.
`scipy.integrate` improvements

`scipy.interpolate` improvements

`scipy.io` improvements

`scipy.io.wavfile` error messages are more explicit about what's wrong, and
extraneous bytes at the ends of files are ignored instead of raising an
error
when the data has successfully been read.
`scipy.io.loadmat` gained a ``simplify_cells`` parameter, which if set to
``True`` simplifies the structure of the return value if the ``.mat`` file
contains cell arrays.
``pathlib.Path`` objects are now supported in `scipy.io` Matrix Market I/O
functions
`scipy.linalg` improvements

`scipy.linalg.eigh` has been improved. Now various ``LAPACK`` drivers can
be
selected at will and also subsets of eigenvalues can be requested via
``subset_by_value`` keyword. Another keyword ``subset_by_index`` is
introduced.
Keywords ``turbo`` and ``eigvals`` are deprecated.
Similarly, standard and generalized Hermitian eigenvalue ``LAPACK``
routines
``?<sy/he>evx`` are added and existing ones now have full ``_lwork``
counterparts.
Wrappers for the following ``LAPACK`` routines have been added to
`scipy.linalg.lapack`:
 ``?getc2``: computes the LU factorization of a general matrix with
complete
pivoting
 ``?gesc2``: solves a linear system given an LU factorization from
``?getc2``
 ``?gejsv``: computes the singular value decomposition of a general
matrix
with higher accuracy calculation of tiny singular values and their
corresponding singular vectors
 ``?geqrfp``: computes the QR factorization of a general matrix with
nonnegative elements on the diagonal of R
 ``?gtsvx``: solves a linear system with general tridiagonal matrix
 ``?gttrf``: computes the LU factorization of a tridiagonal matrix
 ``?gttrs``: solves a linear system given an LU factorization from
``?gttrf``
 ``?ptsvx``: solves a linear system with symmetric positive definite
tridiagonal matrix
 ``?pttrf``: computes the LU factorization of a symmetric positive
definite
tridiagonal matrix
 ``?pttrs``: solves a linear system given an LU factorization from
``?pttrf``
 ``?pteqr``: computes the eigenvectors and eigenvalues of a positive
definite
tridiagonal matrix
 ``?tbtrs``: solves a linear system with a triangular banded matrix
 ``?csd``: computes the Cosine Sine decomposition of an
orthogonal/unitary
matrix
Generalized QR factorization routines (``?geqrf``) now have full ``_lwork``
counterparts.
`scipy.linalg.cossin` Cosine Sine decomposition of unitary matrices has
been
added.
The function `scipy.linalg.khatri_rao`, which computes the KhatriRao
product,
was added.
The new function `scipy.linalg.convolution_matrix` constructs the Toeplitz
matrix representing onedimensional convolution.
`scipy.ndimage` improvements

`scipy.optimize` improvements

The finite difference numerical differentiation used in various ``minimize``
methods that use gradients has several new features:
 2point, 3point, or complex step finite differences can be used.
Previously
only a 2step finite difference was available.
 There is now the possibility to use a relative step size, previously
only an
absolute step size was available.
 If the ``minimize`` method uses bounds the numerical differentiation
strictly
obeys those limits.
 The numerical differentiation machinery now makes use of a simple cache,
which in some cases can reduce the number of function evaluations.
 ``minimize``'s ``method= 'powell'`` now supports simple bound constraints
There have been several improvements to `scipy.optimize.linprog`:
 The ``linprog`` benchmark suite has been expanded considerably.
 ``linprog``'s dense pivotbased redundancy removal routine and sparse
presolve are faster
 When ``scikitsparse`` is available, solving sparse problems with
``method='interiorpoint'`` is faster
The caching of values when optimizing a function returning both value and
gradient together has been improved, avoiding repeated function evaluations
when using a ``HessianApproximation`` such as ``BFGS``.
``differential_evolution`` can now use the modern ``np.random.Generator``
as
well as the legacy ``np.random.RandomState`` as a seed.
`scipy.signal` improvements

A new optional argument ``include_nyquist`` is added to ``freqz`` functions
in
this module. It is used for including the last frequency (Nyquist
frequency).
`scipy.signal.find_peaks_cwt` now accepts a ``window_size`` parameter for
the
size of the window used to calculate the noise floor.
`scipy.sparse` improvements

Outer indexing is now faster when using a 2d column vector to select column
indices.
`scipy.sparse.lil.tocsr` is faster
Fixed/improved comparisons between pydata sparse arrays and sparse matrices
BSR format sparse multiplication performance has been improved.
`scipy.sparse.linalg.LinearOperator` has gained the new ``ndim`` class
attribute
`scipy.spatial` improvements

`scipy.spatial.geometric_slerp` has been added to enable geometric
spherical linear interpolation on an nsphere
`scipy.spatial.SphericalVoronoi` now supports calculation of region areas
in 2D
and 3D cases
The tree building algorithm used by ``cKDTree`` has improved from quadratic
worst case time complexity to loglinear. Benchmarks are also now available
for
building and querying of balanced/unbalanced kdtrees.
`scipy.special` improvements

The following functions now have Cython interfaces in `cython_special`:
 `scipy.special.erfinv`
 `scipy.special.erfcinv`
 `scipy.special.spherical_jn`
 `scipy.special.spherical_yn`
 `scipy.special.spherical_in`
 `scipy.special.spherical_kn`
`scipy.special.log_softmax` has been added to calculate the logarithm of
softmax
function. It provides better accuracy than
``log(scipy.special.softmax(x))`` for
inputs that make softmax saturate.
`scipy.stats` improvements

The function for generating random samples in `scipy.stats.dlaplace` has
been
improved. The new function is approximately twice as fast with a memory
footprint reduction between 25 % and 60 % (see gh11069).
`scipy.stats` functions that accept a seed for reproducible calculations
using
random number generation (e.g. random variates from distributions) can now
use
the modern ``np.random.Generator`` as well as the legacy
``np.random.RandomState`` as a seed.
The ``axis`` parameter was added to `scipy.stats.rankdata`. This allows
slices
of an array along the given axis to be ranked independently.
The ``axis`` parameter was added to `scipy.stats.f_oneway`, allowing it to
compute multiple oneway ANOVA tests for data stored in ndimensional
arrays. The performance of ``f_oneway`` was also improved for some cases.
The PDF and CDF methods for ``stats.geninvgauss`` are now significantly
faster
as the numerical integration to calculate the CDF uses a Cython based
``LowLevelCallable``.
Moments of the normal distribution (`scipy.stats.norm`) are now calculated
using
analytical formulas instead of numerical integration for greater speed and
accuracy
Moments and entropy trapezoidal distribution (`scipy.stats.trapz`) are now
calculated using analytical formulas instead of numerical integration for
greater speed and accuracy
Methods of the truncated normal distribution (`scipy.stats.truncnorm`),
especially ``_rvs``, are significantly faster after a complete rewrite.
The `fit` method of the Laplace distribution, `scipy.stats.laplace`, now
uses
the analytical formulas for the maximum likelihood estimates of the
parameters.
Generation of random variates is now thread safe for all SciPy
distributions.
3rdparty distributions may need to modify the signature of the ``_rvs()``
method to conform to ``_rvs(self, ..., size=None, random_state=None)``. (A
onetime VisibleDeprecationWarning is emitted when using nonconformant
distributions.)
The KolmogorovSmirnov twosided test statistic distribution
(`scipy.stats.kstwo`) was added. Calculates the distribution of the KS
twosided statistic ``D_n`` for a sample of size n, using a mixture of
exact
and asymptotic algorithms.
The new function ``median_abs_deviation`` replaces the deprecated
``median_absolute_deviation``.
The ``wilcoxon`` function now computes the pvalue for Wilcoxon's signed
rank
test using the exact distribution for inputs up to length 25. The function
has
a new ``mode`` parameter to specify how the pvalue is to be computed. The
default is ``"auto"``, which uses the exact distribution for inputs up to
length
25 and the normal approximation for larger inputs.
Added a new Cythonbased implementation to evaluate guassian kernel
estimates,
which should improve the performance of ``gaussian_kde``
The ``winsorize`` function now has a ``nan_policy`` argument for refined
handling of ``nan`` input values.
The ``binned_statistic_dd`` function with ``statistic="std"`` performance
was
improved by ~4x.
``scipy.stats.kstest(rvs, cdf,...)`` now handles both onesample and
twosample testing. The onesample variation uses `scipy.stats.ksone`
(or `scipy.stats.kstwo` with back off to `scipy.stats.kstwobign`) to
calculate
the pvalue. The twosample variation, invoked if ``cdf`` is array_like,
uses
an algorithm described by Hodges to compute the probability directly, only
backing off to `scipy.stats.kstwo` in case of overflow. The result in both
cases is more accurate pvalues, especially for twosample testing with
smaller (or quite different) sizes.
`scipy.stats.maxwell` performance improvements include a 20 % speed up for
`fit()`` and 5 % for ``pdf()``
`scipy.stats.shapiro` and `scipy.stats.jarque_bera` now return a named
tuple
for greater consistency with other ``stats`` functions
Deprecated features
================
`scipy` deprecations

`scipy.special` changes

The ``bdtr``, ``bdtrc``, and ``bdtri`` functions are deprecating
nonnegative
nonintegral ``n`` arguments.
`scipy.stats` changes

The function ``median_absolute_deviation`` is deprecated. Use
``median_abs_deviation`` instead.
The use of the string ``"raw"`` with the ``scale`` parameter of ``iqr`` is
deprecated. Use ``scale=1`` instead.
Backwards incompatible changes
==========================
`scipy.interpolate` changes

`scipy.linalg` changes

The output signatures of ``?syevr``, ``?heevr`` have been changed from
``w, v, info`` to ``w, v, m, isuppz, info``
The order of output arguments ``w``, ``v`` of ``<sy/he>{gv, gvd, gvx}`` is
swapped.
`scipy.signal` changes

The output length of `scipy.signal.upfirdn` has been corrected, resulting
outputs may now be shorter for some combinations of up/down ratios and
input
signal and filter lengths.
`scipy.signal.resample` now supports a ``domain`` keyword argument for
specification of time or frequency domain input.
`scipy.stats` changes

Other changes
=============
Improved support for leveraging 64bit integer size from linear algebra
backends
in several parts of the SciPy codebase.
Shims designed to ensure the compatibility of SciPy with Python 2.7 have
now
been removed.
Many warnings due to unused imports and unused assignments have been
addressed.
Many usage examples were added to function docstrings, and many input
validations and intuitive exception messages have been added throughout the
codebase.
Early stage adoption of type annotations in a few parts of the codebase
Authors
=======
* @endolith
* Hameer Abbasi
* ADmitri +
* Wesley Alves +
* Berkay Antmen +
* Sylwester Arabas +
* Arne KÃ¼derle +
* Christoph Baumgarten
* Peter Bell
* Felix Berkenkamp
* JordÃ£o Bragantini +
* Clemens Brunner +
* Evgeni Burovski
* Matthias Bussonnier +
* CJ Carey
* Derrick Chambers +
* Leander Claes +
* Christian Clauss
* Luigi F. Cruz +
* dankleeman
* Andras Deak
* Milad Sadeghi DM +
* jeremie du boisberranger +
* Stefan Endres
* Malte Esders +
* Leo Fang +
* felixhekhorn +
* Isuru Fernando
* Andrew Fowlie
* Lakshay Garg +
* Gaurav Gijare +
* Ralf Gommers
* Emmanuelle Gouillart +
* Kevin Green +
* Martin Grignard +
* Maja Gwozdz
* gyudon +
* Matt Haberland
* hakeemo +
* Charles Harris
* Alex Henrie
* Santi Hernandez +
* William Hickman +
* Till Hoffmann +
* Joseph T. Iosue +
* Anany Shrey Jain
* Jakob Jakobson
* Charles Jekel +
* Julien Jerphanion +
* JiachengLiu +
* Christoph Kecht +
* Paul Kienzle +
* Reidar Kind +
* Dmitry E. Kislov +
* Konrad +
* Konrad0
* Takuya KOUMURA +
* Krzysztof PiÃ³ro
* Peter Mahler Larsen
* Eric Larson
* Antony Lee
* Gregory Lee +
* Gregory R. Lee
* Chelsea Liu
* Cong Ma +
* Kevin Mader +
* Maja GwÃ³ÅºdÅº +
* Alex Marvin +
* Matthias KÃ¼mmerer
* Nikolay Mayorov
* Mazay0 +
* G. D. McBain
* Nicholas McKibben +
* Sabrina J. Mielke +
* Sebastian J. Mielke +
* MiloÅ¡ KomarÄ eviÄ‡ +
* Shubham Mishra +
* Santiago M. Mola +
* Grzegorz Mrukwa +
* Peyton Murray
* Andrew Nelson
* Nico SchlÃ¶mer
* nwjenkins +
* odidev +
* Sambit Panda
* Vikas Pandey +
* Rick Paris +
* Harshal Prakash Patankar +
* Balint Pato +
* Matti Picus
* Ilhan Polat
* poom +
* Siddhesh Poyarekar
* Vladyslav Rachek +
* Bharat Raghunathan
* Manu Rajput +
* Tyler Reddy
* Andrew Reed +
* Lucas Roberts
* Ariel Rokem
* Heshy Roskes
* Matt Ruffalo
* Atsushi Sakai +
* Benjamin Santos +
* Christoph Schock +
* Lisa Schwetlick +
* Chris Simpson +
* Leo Singer
* Kai Striega
* SÃ¸ren Fuglede JÃ¸rgensen
* Kaleab Tessera +
* Seth Troisi +
* Robert Uhl +
* Paul van Mulbregt
* Vasiliy +
* Isaac Virshup +
* Pauli Virtanen
* Shakthi Visagan +
* Jan Vleeshouwers +
* Sam Wallan +
* Lijun Wang +
* Warren Weckesser
* Richard Weiss +
* wenhuiprudencemed +
* Eric Wieser
* Josh Wilson
* James Wright +
* Ruslan Yevdokymov +
* Ziyao Zhang +
A total of 129 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.
Issues closed for 1.5.0

* `#1455 <https://github.com/scipy/scipy/issues/1455>`__: ellipord does
returns bogus values if gstop or gpass are negative...
* `#1968 <https://github.com/scipy/scipy/issues/1968>`__: correlate2d's
output does not agree with correlate's output in...
* `#2744 <https://github.com/scipy/scipy/issues/2744>`__: BUG: optimize:
'\*\*kw' argument of 'newton_krylov' is not documented
* `#4755 <https://github.com/scipy/scipy/issues/4755>`__: TypeError: data
type "<i0" not understood
* `#4921 <https://github.com/scipy/scipy/issues/4921>`__: scipy.optimize
maxiter option not working as expected
* `#5144 <https://github.com/scipy/scipy/issues/5144>`__: RuntimeWarning on
csgraph.shortest_path when edge lengths are...
* `#5309 <https://github.com/scipy/scipy/issues/5309>`__: Documentation of
'hybr' and 'lm' inconsistent in optimize.root
* `#6026 <https://github.com/scipy/scipy/issues/6026>`__: Replace
approx_grad with _numdiff.approx_derivative in scipy.optimize
* `#6502 <https://github.com/scipy/scipy/issues/6502>`__: Computing
Eigenvalues in an Interval with LAPACK
* `#7058 <https://github.com/scipy/scipy/issues/7058>`__: Errors in
special.bdtri and special.bdtr for noninteger k values
* `#7700 <https://github.com/scipy/scipy/issues/7700>`__: SuperLU does not
respect perm_c="NATURAL"
* `#7895 <https://github.com/scipy/scipy/issues/7895>`__: Improvements to
io.loadmat
* `#8205 <https://github.com/scipy/scipy/issues/8205>`__: ValueError in
scipy.linalg.eigvalsh for large matrix
* `#8278 <https://github.com/scipy/scipy/issues/8278>`__: Memory limit for
scipy.sparse.linalg.spsolve with scikitumfpack
* `#8327 <https://github.com/scipy/scipy/issues/8327>`__:
scipy.stats.mstats.winsorize NaN handling
* `#8341 <https://github.com/scipy/scipy/issues/8341>`__:
scipy.stats.ks_2samp for masked and unmasked data give different...
* `#8748 <https://github.com/scipy/scipy/issues/8748>`__:
scipy.stats.kstest for same distribution: pvalues nonuniform
* `#9042 <https://github.com/scipy/scipy/issues/9042>`__: optimize:
Incorrect statement about \`jac\` in the \`minimize\`...
* `#9197 <https://github.com/scipy/scipy/issues/9197>`__: problem with
scipy.signal.butter with 1000+ points array
* `#9212 <https://github.com/scipy/scipy/issues/9212>`__: EIGH very very
slow > suggesting an easy fix
* `#9553 <https://github.com/scipy/scipy/issues/9553>`__: ndimage routines
behave badly when output has memory overlap...
* `#9632 <https://github.com/scipy/scipy/issues/9632>`__:
ndimage.maximum_filter undocumented behaviour using footprint...
* `#9710 <https://github.com/scipy/scipy/issues/9710>`__:
stats.weightedtau([1], [1.0]) SEGFAULTs
* `#9797 <https://github.com/scipy/scipy/issues/9797>`__: Master Tracker
for some KolmogorovSmirnov test Issues
* `#9844 <https://github.com/scipy/scipy/issues/9844>`__:
scipy.signal.upfirdn gives different length matrix versus MATLAB...
* `#9872 <https://github.com/scipy/scipy/issues/9872>`__:
scipy.signal.convolve is slower when vectorized
* `#9913 <https://github.com/scipy/scipy/issues/9913>`__: BUG: No dt in
StateSpace operations
* `#10014 <https://github.com/scipy/scipy/issues/10014>`__: Distribution
names \`weibull_min\`and \`weibull_max\` should...
* `#10159 <https://github.com/scipy/scipy/issues/10159>`__: BUG: stats:
chisquare returns incorrect results for arrays of...
* `#10302 <https://github.com/scipy/scipy/issues/10302>`__: scipy.fft: Add
a \`plan\` argument
* `#10332 <https://github.com/scipy/scipy/issues/10332>`__: 'Incomplete wav
chunk' inconsistent/reason unknown
* `#10441 <https://github.com/scipy/scipy/issues/10441>`__: Remove uses of
\`numpy.dual\`?
* `#10558 <https://github.com/scipy/scipy/issues/10558>`__: Document
implicit sum in csr_matrix() constructor
* `#10788 <https://github.com/scipy/scipy/issues/10788>`__: LU with full
pivoting
* `#10841 <https://github.com/scipy/scipy/issues/10841>`__: Unexpected
behavior in linalg.blas.dtrmm wrapper
* `#10919 <https://github.com/scipy/scipy/issues/10919>`__:
optimize._lbfgsb setulb() function violates parameter bounds
* `#10963 <https://github.com/scipy/scipy/issues/10963>`__: kstest,
ks_2samp: confusing \`mode\` argument descriptions
* `#11022 <https://github.com/scipy/scipy/issues/11022>`__: Unexpected
Result in factorial function with NaN input
* `#11028 <https://github.com/scipy/scipy/issues/11028>`__: Documentation
error in optimize.minimize
* `#11058 <https://github.com/scipy/scipy/issues/11058>`__: Adding
logsoftmax function
* `#11076 <https://github.com/scipy/scipy/issues/11076>`__: ValueError:
Unknown wave file format
* `#11090 <https://github.com/scipy/scipy/issues/11090>`__: Misconception
of the median absolute deviation in stats?
* `#11095 <https://github.com/scipy/scipy/issues/11095>`__: BUG:
find_peaks_cwt test failures in 32bit Linux wheels
* `#11107 <https://github.com/scipy/scipy/issues/11107>`__: scipy.io.mmread
generated an error "TypeError: startswith first...
* `#11123 <https://github.com/scipy/scipy/issues/11123>`__: Add wrapper for
?gttrf/?gttrs
* `#11128 <https://github.com/scipy/scipy/issues/11128>`__: OverflowError
in resample_poly (upfirdn)
* `#11132 <https://github.com/scipy/scipy/issues/11132>`__: Possible bug:
rv_discret.ppf for percentiles 0 and 100 and loc...
* `#11163 <https://github.com/scipy/scipy/issues/11163>`__: Comparisons
between scipy spmatrix and can sparse.SparseArray...
* `#11168 <https://github.com/scipy/scipy/issues/11168>`__: Generalized
Pareto variance inaccurate for concentrations near...
* `#11169 <https://github.com/scipy/scipy/issues/11169>`__: Add wrapper for
?geqrfp
* `#11184 <https://github.com/scipy/scipy/issues/11184>`__: 2sided
Kolmogorov Smirnov returns pvalue of 1
* `#11185 <https://github.com/scipy/scipy/issues/11185>`__: The .roots() or
solve() function of scipy.interpolate.CubicHermiteSpline...
* `#11190 <https://github.com/scipy/scipy/issues/11190>`__: Add wrapper for
?tbtrs
* `#11200 <https://github.com/scipy/scipy/issues/11200>`__: Can no longer
slice csr_matrix in 1.3.0
* `#11207 <https://github.com/scipy/scipy/issues/11207>`__:
_minimize_scalar_bounded: reference before assignment
* `#11216 <https://github.com/scipy/scipy/issues/11216>`__: linprog:
interiorpoint: Cholmod reordering can be reused
* `#11223 <https://github.com/scipy/scipy/issues/11223>`__: Add wrappers
for ?pttrf, ?pttrs
* `#11224 <https://github.com/scipy/scipy/issues/11224>`__: Add wrapperfor
?pteqr
* `#11235 <https://github.com/scipy/scipy/issues/11235>`__: MAINT:
Missleading Error Message for IIR Filter
* `#11244 <https://github.com/scipy/scipy/issues/11244>`__: Missing
reference in \`scipy.optimize.line_search\`
* `#11262 <https://github.com/scipy/scipy/issues/11262>`__: Hermitian
Eigenvalue Problem eigh() API and wrapper change proposal
* `#11266 <https://github.com/scipy/scipy/issues/11266>`__: Sparse matrix
constructor data type detection changes on Numpy...
* `#11270 <https://github.com/scipy/scipy/issues/11270>`__: CI failing:
Travis CI Py36 refguide and Linux_Python_36_32bit_full...
* `#11279 <https://github.com/scipy/scipy/issues/11279>`__: linalg.eigh
checks whole array for finite values
* `#11295 <https://github.com/scipy/scipy/issues/11295>`__: CI: azure does
not autocancel old jobs on pushes
* `#11299 <https://github.com/scipy/scipy/issues/11299>`__:
stats.truncnorm.rvs 100x slower in v1.4.x than v1.3.3
* `#11315 <https://github.com/scipy/scipy/issues/11315>`__: BUG: special:
rgamma on negative integers smaller 34
* `#11319 <https://github.com/scipy/scipy/issues/11319>`__: Missing
\`int64_t\` declaration in rectangular_lsap.cpp
* `#11323 <https://github.com/scipy/scipy/issues/11323>`__: Compilation
failure due to missing symbol pthread_atfork
* `#11332 <https://github.com/scipy/scipy/issues/11332>`__: BUG:
directed_hausdorff distance on sets u and v when u is a...
* `#11350 <https://github.com/scipy/scipy/issues/11350>`__: KhatriRao
product
* `#11354 <https://github.com/scipy/scipy/issues/11354>`__: ENH: Add
wrapper for ?gejsv
* `#11361 <https://github.com/scipy/scipy/issues/11361>`__: Dropped NaN in
eval_genlaguerre function
* `#11363 <https://github.com/scipy/scipy/issues/11363>`__: Dropped NaN in
hyperu function
* `#11365 <https://github.com/scipy/scipy/issues/11365>`__:
scipy.stats.binned_statistic regressed in v1.4.0
* `#11369 <https://github.com/scipy/scipy/issues/11369>`__: Dropped NaN in
eval_hermite
* `#11370 <https://github.com/scipy/scipy/issues/11370>`__: Dropped NaN in
eval_gegenbauer
* `#11373 <https://github.com/scipy/scipy/issues/11373>`__: Add wrapper for
?gtsvx
* `#11374 <https://github.com/scipy/scipy/issues/11374>`__: Add wrapper for
?ptsvx
* `#11391 <https://github.com/scipy/scipy/issues/11391>`__:
csgraph.minimum_spanning_tree loses precision
* `#11398 <https://github.com/scipy/scipy/issues/11398>`__: Update stats to
cope with \`np.random.Generator\` machinery
* `#11412 <https://github.com/scipy/scipy/issues/11412>`__: Array copying
causes unwanted type casting from complex to float...
* `#11415 <https://github.com/scipy/scipy/issues/11415>`__: Where is the
Wiener Filter derived from?
* `#11416 <https://github.com/scipy/scipy/issues/11416>`__:
_lib._util.getargspec_no_self is missing KEYWORD_ONLY support
* `#11428 <https://github.com/scipy/scipy/issues/11428>`__: Documentation
on SHGO inequality constraints appears contradictory
* `#11429 <https://github.com/scipy/scipy/issues/11429>`__: Add LAPACK's
ZUNCSD cosine sine decomposition
* `#11438 <https://github.com/scipy/scipy/issues/11438>`__:
run_dualannealing passes bounds incorrectly in benchmarks/optimize.py
* `#11441 <https://github.com/scipy/scipy/issues/11441>`__: Can't run
optimize benchmarks
* `#11442 <https://github.com/scipy/scipy/issues/11442>`__: Chebyshev
weights
* `#11448 <https://github.com/scipy/scipy/issues/11448>`__: Wrongly typed
comparison in integrate.quad
* `#11458 <https://github.com/scipy/scipy/issues/11458>`__: BUG:
maximum_bipartite_matching produces infeasible solution
* `#11460 <https://github.com/scipy/scipy/issues/11460>`__: CI failing: 2
Travis CI tests fail with numpy build or version...
* `#11462 <https://github.com/scipy/scipy/issues/11462>`__: Bug on "++"
initialization on "kmeans2"
* `#11464 <https://github.com/scipy/scipy/issues/11464>`__: Shouldn't data
type of KDE evaluation should be like in the input...
* `#11468 <https://github.com/scipy/scipy/issues/11468>`__: performance of
binned_statistics_2d 100x slowdown from 1.3.2...
* `#11484 <https://github.com/scipy/scipy/issues/11484>`__: Callback
function doesn't give the same value as the one being...
* `#11492 <https://github.com/scipy/scipy/issues/11492>`__: Confusing
dendrogram labelling
* `#11493 <https://github.com/scipy/scipy/issues/11493>`__:
scipy.optimize.least_squares fails if the return array of the...
* `#11494 <https://github.com/scipy/scipy/issues/11494>`__: Error
performing kronecker product between large sparse vectors
* `#11503 <https://github.com/scipy/scipy/issues/11503>`__: medfilt
produces 0 on input of length 1
* `#11529 <https://github.com/scipy/scipy/issues/11529>`__: Pyflakes
generates almost 700 warnings.
* `#11566 <https://github.com/scipy/scipy/issues/11566>`__:
irfft/irfft2/irfftn docs are slightly confusing re: input type.
* `#11572 <https://github.com/scipy/scipy/issues/11572>`__: least_squares:
too small tolerances not catched with method='lm'
* `#11581 <https://github.com/scipy/scipy/issues/11581>`__: DOC:
scipy.interpolate.RectSphereBivariateSpline
* `#11586 <https://github.com/scipy/scipy/issues/11586>`__: Differential
evolution breaks with LinearConstraints with sparse...
* `#11595 <https://github.com/scipy/scipy/issues/11595>`__:
scipy.spatial.cKDTree construction slow for some datasets
* `#11598 <https://github.com/scipy/scipy/issues/11598>`__: output of
special.voigt_profile when sigma=0
* `#11601 <https://github.com/scipy/scipy/issues/11601>`__: linalg tests
failing in runtests.py
* `#11602 <https://github.com/scipy/scipy/issues/11602>`__:
scipy.optimize.linear_sum_assignment returns reverse diagonal...
* `#11610 <https://github.com/scipy/scipy/issues/11610>`__: Analytic
formula for normal moments
* `#11611 <https://github.com/scipy/scipy/issues/11611>`__: Build failure
with gfortran 10
* `#11613 <https://github.com/scipy/scipy/issues/11613>`__: TST, MAINT:
test_quadpack TestCtypesQuad wasn't fully migrated...
* `#11630 <https://github.com/scipy/scipy/issues/11630>`__:
SmoothBivariateSpline bbox parameter
* `#11635 <https://github.com/scipy/scipy/issues/11635>`__: typo in
docstring of scipy.stats.norminvgauss
* `#11637 <https://github.com/scipy/scipy/issues/11637>`__: BUG: core dumps
when calling scipy.interpolate.interp1d with...
* `#11638 <https://github.com/scipy/scipy/issues/11638>`__: better
documentation for 'return_all' option in minimize(Nelder...
* `#11652 <https://github.com/scipy/scipy/issues/11652>`__: TST, MAINT: CI
failures for prerelease NumPy wheels
* `#11659 <https://github.com/scipy/scipy/issues/11659>`__:
optimize.fmin_l_bfgs_b needs bound check and appropiate error...
* `#11660 <https://github.com/scipy/scipy/issues/11660>`__: BUG/ENH:
distribution.ncf with nc=0 returns nan
* `#11661 <https://github.com/scipy/scipy/issues/11661>`__:
scipy.ndimage.convolve1d and correlate1d don't behave properly...
* `#11669 <https://github.com/scipy/scipy/issues/11669>`__: pvalue varies
with the order of the data
* `#11676 <https://github.com/scipy/scipy/issues/11676>`__: documentation
of scipy.spatial.HalfspaceIntersection: wrong method...
* `#11685 <https://github.com/scipy/scipy/issues/11685>`__: Rotation cannot
be expressed as matrix
* `#11686 <https://github.com/scipy/scipy/issues/11686>`__: MAINT: mypy
imports of Cython "modules"
* `#11693 <https://github.com/scipy/scipy/issues/11693>`__:
TestDifferentialEvolutionSolver::test_L4 failing in CI
* `#11696 <https://github.com/scipy/scipy/issues/11696>`__: DOC: incorrect
compiler information for macOS in docs
* `#11709 <https://github.com/scipy/scipy/issues/11709>`__: eigh() tests
fail to pass, crash Python with seemingly ramdom...
* `#11763 <https://github.com/scipy/scipy/issues/11763>`__: Small error in
gamma continuous rv fit comments
* `#11769 <https://github.com/scipy/scipy/issues/11769>`__: truncnorm.rvs
Weird Behaviors
* `#11770 <https://github.com/scipy/scipy/issues/11770>`__: crash in
TestEigh::test_value_subsets
* `#11795 <https://github.com/scipy/scipy/issues/11795>`__: trapz
distribution mean computed using single precision
* `#11800 <https://github.com/scipy/scipy/issues/11800>`__: Segmentation
fault in scipy.odr for multidimensional independent...
* `#11811 <https://github.com/scipy/scipy/issues/11811>`__: pyflakes
silently failing on travisci
* `#11826 <https://github.com/scipy/scipy/issues/11826>`__: Error with
_fblas
* `#11827 <https://github.com/scipy/scipy/issues/11827>`__:
\`fft.tests.test_numpy.test_multiprocess\` hangs on Python3.8...
* `#11835 <https://github.com/scipy/scipy/issues/11835>`__: tests with
\`multiprocessing\` hang on Python 3.8 on macOS
* `#11839 <https://github.com/scipy/scipy/issues/11839>`__: linalg.expm
returns nans with RuntimeWarning: overflow encountered...
* `#11856 <https://github.com/scipy/scipy/issues/11856>`__: Documentation
of fit methods for \`weibull_min\` and \`exponweib\`...
* `#11868 <https://github.com/scipy/scipy/issues/11868>`__: Function always
evaluated twice when using HessianUpdateStrategy...
* `#11875 <https://github.com/scipy/scipy/issues/11875>`__: Typo in the
docstring of simps()
* `#11877 <https://github.com/scipy/scipy/issues/11877>`__: kmeans2 '++'
method is orders of magnitude slower than sklearn.cluster.KMeans()
* `#11884 <https://github.com/scipy/scipy/issues/11884>`__: The upper code
lines are dead code
* `#11886 <https://github.com/scipy/scipy/issues/11886>`__: Array shape
mismatch in scipy.optimize
* `#11892 <https://github.com/scipy/scipy/issues/11892>`__: BUG: stats:
Incorrect handling of edges cases by ttest_rel and...
* `#11908 <https://github.com/scipy/scipy/issues/11908>`__: LinearOperator
should have ndim attribute
* `#11910 <https://github.com/scipy/scipy/issues/11910>`__: Documentation
missing for what M is in init argument
* `#11922 <https://github.com/scipy/scipy/issues/11922>`__: macOS actions
CI has started failing in last couple of days.
* `#11928 <https://github.com/scipy/scipy/issues/11928>`__: DOC: signal:
Wrong description for sepfir2d, cspline2d, qspline2d
* `#11944 <https://github.com/scipy/scipy/issues/11944>`__: curve_fit
documentation unclear on default value of absolute_sigma
* `#11945 <https://github.com/scipy/scipy/issues/11945>`__: Add a
(potentially temporary) py.typed file?
* `#11949 <https://github.com/scipy/scipy/issues/11949>`__: ValueError 'k
exceeds matrix dimensions' for sparse.diagonal()...
* `#11951 <https://github.com/scipy/scipy/issues/11951>`__: BUG: asv
benchmark failed because of cython version
* `#11967 <https://github.com/scipy/scipy/issues/11967>`__: BLD: Azure
windows runs complain about drives
* `#11973 <https://github.com/scipy/scipy/issues/11973>`__:
oaconvolve(a,b,'same') differs in shape from convolve(a,b,'same')...
* `#12002 <https://github.com/scipy/scipy/issues/12002>`__: pybind11 license
* `#12003 <https://github.com/scipy/scipy/issues/12003>`__: MAINT: circular
SphericalVoronoi input
* `#12015 <https://github.com/scipy/scipy/issues/12015>`__: Reordering of
CSC matrix breaks when you go above int32 limits
* `#12031 <https://github.com/scipy/scipy/issues/12031>`__: Documentation
Rendering Issues Visible in CircleCI Artifacts
* `#12037 <https://github.com/scipy/scipy/issues/12037>`__: MAINT, CI: new
Cython 3.0a4 issue
* `#12087 <https://github.com/scipy/scipy/issues/12087>`__: DOC: some odr
models are missing docs
* `#12119 <https://github.com/scipy/scipy/issues/12119>`__:
signal.fftconvolve no longer convolves types f8 and numpy.float64
* `#12149 <https://github.com/scipy/scipy/issues/12149>`__: Documentation
of Rosenbrock function
* `#12173 <https://github.com/scipy/scipy/issues/12173>`__: Large memory
usage when indexing sparse matrices with \`np.ix_\`
* `#12178 <https://github.com/scipy/scipy/issues/12178>`__: BUG: stats:
Some discrete distributions don't accept lists of...
* `#12220 <https://github.com/scipy/scipy/issues/12220>`__: BUG, REL:
gh_lists.py compromised scraping
* `#12239 <https://github.com/scipy/scipy/issues/12239>`__: BUG: median
absolute deviation handling of nan
Pull requests for 1.5.0

* `#6510 <https://github.com/scipy/scipy/pull/6510>`__: Add Eigenvalue
Range Functionality for Symmetric Eigenvalue Problems
* `#9525 <https://github.com/scipy/scipy/pull/9525>`__: BUG: SuperLU
'NATURAL' order applies a column permutation
* `#9634 <https://github.com/scipy/scipy/pull/9634>`__: Add the number of
Jacobian evaluations to the output of LBFGSB.
* `#9719 <https://github.com/scipy/scipy/pull/9719>`__: ENH: Added kstwo
probability distribution for twosided onesample...
* `#9783 <https://github.com/scipy/scipy/pull/9783>`__: WIP: optimize:
added (dense) interpolative decomposition redundancy...
* `#10053 <https://github.com/scipy/scipy/pull/10053>`__: Adding docstring
to weibull_min and weibull_max based on issue...
* `#10136 <https://github.com/scipy/scipy/pull/10136>`__: DEP: Add warning
to linprog_verbose_callback
* `#10380 <https://github.com/scipy/scipy/pull/10380>`__: ENH: add
geometric_slerp
* `#10602 <https://github.com/scipy/scipy/pull/10602>`__: MAINT: optimize:
refactor common linprog arguments into namedtuple
* `#10648 <https://github.com/scipy/scipy/pull/10648>`__: Bounds for the
Powell minimization method
* `#10673 <https://github.com/scipy/scipy/pull/10673>`__: ENH:
approx_fprime > approx_derivative
* `#10759 <https://github.com/scipy/scipy/pull/10759>`__: ENH: calculation
of region areas in spatial.SphericalVoronoi
* `#10762 <https://github.com/scipy/scipy/pull/10762>`__: BENCH: optimize:
more comprehensive linprog benchmarking
* `#10796 <https://github.com/scipy/scipy/pull/10796>`__: ENH exact
pvalues of wilcoxon test in scipy.stats
* `#10797 <https://github.com/scipy/scipy/pull/10797>`__: ENH: linalg: LU
with full pivoting (wrappers for ?getc2/?gesc2)
* `#10824 <https://github.com/scipy/scipy/pull/10824>`__: ENH: Fast
gaussian kernel estimator
* `#10942 <https://github.com/scipy/scipy/pull/10942>`__: BUG: prevent
bound violation in LBFGSB optimize method
* `#11003 <https://github.com/scipy/scipy/pull/11003>`__: ENH: add
scipy.linalg.convolution_matrix
* `#11023 <https://github.com/scipy/scipy/pull/11023>`__: improving error
message for cubicinterpolate with duplicates
* `#11045 <https://github.com/scipy/scipy/pull/11045>`__: MAINT: make
bdt{r,rc,ri}() functions accept double n,k args +...
* `#11063 <https://github.com/scipy/scipy/pull/11063>`__: Fix documentation
error in optimize.minimize
* `#11069 <https://github.com/scipy/scipy/pull/11069>`__: ENH:
stats.dlaplace.rvs improvements
* `#11071 <https://github.com/scipy/scipy/pull/11071>`__: DOC: Added
examples to maximum_position in ndimage
* `#11075 <https://github.com/scipy/scipy/pull/11075>`__: DOC: Update
stylistic consistency in multiple files
* `#11097 <https://github.com/scipy/scipy/pull/11097>`__: BUG: stats:
fixing chisquare to return correct results for arrays...
* `#11110 <https://github.com/scipy/scipy/pull/11110>`__: ENH: special:
Cythonise erfinv, erfcinv
* `#11112 <https://github.com/scipy/scipy/pull/11112>`__: BUG: special:
Return NaN outside the domain of \`eval_hermite\`
* `#11114 <https://github.com/scipy/scipy/pull/11114>`__: BUG: special: fix
\`hyp1f1\` for nonnegative integral \`a\` and...
* `#11115 <https://github.com/scipy/scipy/pull/11115>`__: DOC: special: add
docstrings for \`kei\`, \`ker\`, \`keip\`,...
* `#11130 <https://github.com/scipy/scipy/pull/11130>`__: ENH: support for
circular input
* `#11136 <https://github.com/scipy/scipy/pull/11136>`__: BUG: expm
handling of empty input
* `#11138 <https://github.com/scipy/scipy/pull/11138>`__: DOC: stylistic
consistency, punctuation, etc.
* `#11139 <https://github.com/scipy/scipy/pull/11139>`__: MAINT: cluster:
use cython_blas, remove handwritten BLAS wrappers
* `#11146 <https://github.com/scipy/scipy/pull/11146>`__: DOC: update docs
on bp parameter for detrend
* `#11151 <https://github.com/scipy/scipy/pull/11151>`__: DOC: special: add
docstrings for \`bei\`, \`ber\`, \`beip\`,...
* `#11156 <https://github.com/scipy/scipy/pull/11156>`__: ENH: add input
validation for ellipord.
* `#11157 <https://github.com/scipy/scipy/pull/11157>`__: DOC: stylistic
revision, punctuation, consistency
* `#11160 <https://github.com/scipy/scipy/pull/11160>`__: ignore warning on
0 \* inf in basin hopping
* `#11162 <https://github.com/scipy/scipy/pull/11162>`__: DOC: minor
stylistic revision, undo changes
* `#11164 <https://github.com/scipy/scipy/pull/11164>`__: ENH/ BUG: Pydata
sparse equality
* `#11171 <https://github.com/scipy/scipy/pull/11171>`__: Fix dtype
validation of "seuclidean" metric V parameter
* `#11177 <https://github.com/scipy/scipy/pull/11177>`__: BUG: stats:
Improve genpareto stats calculations.
* `#11180 <https://github.com/scipy/scipy/pull/11180>`__: MAINT: stats:
Some clean up in test_distributions.py.
* `#11187 <https://github.com/scipy/scipy/pull/11187>`__: ENH: add
functionality log_softmax to SciPy.special.
* `#11188 <https://github.com/scipy/scipy/pull/11188>`__: MAINT: add rvs
method to argus in scipy.stats
* `#11196 <https://github.com/scipy/scipy/pull/11196>`__: DOC: special: add
to docstrings of Kelvin zeros functions
* `#11202 <https://github.com/scipy/scipy/pull/11202>`__: BUG: fix edge
counting in shortest_path
* `#11218 <https://github.com/scipy/scipy/pull/11218>`__: BUG:
scipy/interpolate: fix PPoly/Cubic\*Spline roots() extrapolation...
* `#11225 <https://github.com/scipy/scipy/pull/11225>`__: Add a warning to
constant input for spearmanr() function
* `#11226 <https://github.com/scipy/scipy/pull/11226>`__: Speed up of
interiorpoint method for cholesky solver
* `#11229 <https://github.com/scipy/scipy/pull/11229>`__: BUG: Explicit
dtype specification in _upfirdn.py
* `#11230 <https://github.com/scipy/scipy/pull/11230>`__: Additional
citation for optimize tutorial
* `#11231 <https://github.com/scipy/scipy/pull/11231>`__: Adds SLSQP test
for duplicate fevals (#10738)
* `#11236 <https://github.com/scipy/scipy/pull/11236>`__: MAINT: Improved
error message for Wn range in iirfilter.
* `#11245 <https://github.com/scipy/scipy/pull/11245>`__: ENH: optimize:
dense redundancy removal routine optimizations
* `#11247 <https://github.com/scipy/scipy/pull/11247>`__: MAINT: Remove
_lib/_numpy_compat.py
* `#11248 <https://github.com/scipy/scipy/pull/11248>`__: BUG:
rv_discrete.ppf() to handle loc
* `#11251 <https://github.com/scipy/scipy/pull/11251>`__: DOC: add
reference for linesearch zoom algorithm
* `#11253 <https://github.com/scipy/scipy/pull/11253>`__: BUG: fix
kendalltau issue where pvalue becomes >1
* `#11254 <https://github.com/scipy/scipy/pull/11254>`__: MAINT: make
special.factorial handle nan correctly
* `#11256 <https://github.com/scipy/scipy/pull/11256>`__: DOC: Updated
documentation for scipy.linalg.qr
* `#11265 <https://github.com/scipy/scipy/pull/11265>`__: Fix: Can no
longer slice csr_matrix in 1.3.0
* `#11267 <https://github.com/scipy/scipy/pull/11267>`__: BUG: Rework the
scaling in the ks_2samp twosided exact test.
* `#11268 <https://github.com/scipy/scipy/pull/11268>`__: DOC: example of
NonLinearConstraint
* `#11269 <https://github.com/scipy/scipy/pull/11269>`__: Fix: Sparse
matrix constructor data type detection changes on...
* `#11276 <https://github.com/scipy/scipy/pull/11276>`__: BLD: update
minimum Python, NumPy, Cython, Pybind11 versions
* `#11277 <https://github.com/scipy/scipy/pull/11277>`__: MAINT: Cleanup
conditionals for unsupported numpy verisons
* `#11278 <https://github.com/scipy/scipy/pull/11278>`__: MAINT: Cleanup
stats.iqr workarounds for unsupported NumPy versions
* `#11282 <https://github.com/scipy/scipy/pull/11282>`__: TST/CI: improve
traceback formatting for test failures
* `#11284 <https://github.com/scipy/scipy/pull/11284>`__: fix docs &
behavior for mode sequences in ndimage filters
* `#11285 <https://github.com/scipy/scipy/pull/11285>`__: DOC: special:
complete the docstrings of Chisquare functions
* `#11286 <https://github.com/scipy/scipy/pull/11286>`__: BUG: make
loadmat/savemat file opening close resources correctly
* `#11287 <https://github.com/scipy/scipy/pull/11287>`__: CI: skip Azure
and TravisCI builds on merges and direct pushes...
* `#11288 <https://github.com/scipy/scipy/pull/11288>`__: DOC: Fix import
in scipy.io.wavfile.read sample code
* `#11289 <https://github.com/scipy/scipy/pull/11289>`__: BUG: Use context
manager for open
* `#11290 <https://github.com/scipy/scipy/pull/11290>`__: MAINT: Remove
_lib._version in favour of _lib._pep440
* `#11292 <https://github.com/scipy/scipy/pull/11292>`__: DOC: special: add
docstrings for various convenience functions
* `#11293 <https://github.com/scipy/scipy/pull/11293>`__: DOC: special: fix
typo in \`chdtri\` docstring
* `#11296 <https://github.com/scipy/scipy/pull/11296>`__: DOC: special: add
to docstrings of Bessel zeros and derivatives
* `#11297 <https://github.com/scipy/scipy/pull/11297>`__: DOC: special: add
parameters/returns sections for Bessel integrals
* `#11300 <https://github.com/scipy/scipy/pull/11300>`__: MAINT: Update
vendored uarray version
* `#11301 <https://github.com/scipy/scipy/pull/11301>`__: CI: azure
conditions should require succeeded()
* `#11302 <https://github.com/scipy/scipy/pull/11302>`__: ENH: build
infrastructure for ILP64 BLAS + ARPACK conversion
* `#11303 <https://github.com/scipy/scipy/pull/11303>`__: DOC: special: fix
typo in \`besselpoly\` docstring
* `#11304 <https://github.com/scipy/scipy/pull/11304>`__: ENH: MAINT:
Rewrite of eigh() and relevant wrappers
* `#11306 <https://github.com/scipy/scipy/pull/11306>`__: TST: skip
test_aligned_mem linalg test that is crashing on ppcle64
* `#11307 <https://github.com/scipy/scipy/pull/11307>`__: MAINT: Fix typo
'solutuion' > 'solution'
* `#11308 <https://github.com/scipy/scipy/pull/11308>`__: ENH: do not
create 1d array out of a scalar
* `#11310 <https://github.com/scipy/scipy/pull/11310>`__: MAINT: clean up
object array creation, scalar/1d confusion
* `#11311 <https://github.com/scipy/scipy/pull/11311>`__: DOC: Specify
custom callable option for metric in cluster.hierarchy.fclusterdata
* `#11316 <https://github.com/scipy/scipy/pull/11316>`__: BUG: special: fix
behavior for \`rgamma\` zeros
* `#11317 <https://github.com/scipy/scipy/pull/11317>`__: BUG: fix
floatingpoint literal comparisons under C99
* `#11318 <https://github.com/scipy/scipy/pull/11318>`__: TST: optimize:
mark two linprog tests for skipping
* `#11320 <https://github.com/scipy/scipy/pull/11320>`__: BUG: Include
\`int64_t\` declaration to \`rectangular_lsap.cpp\`
* `#11330 <https://github.com/scipy/scipy/pull/11330>`__: MAINT: Update
vendored pypocketfft version
* `#11333 <https://github.com/scipy/scipy/pull/11333>`__: BUG:
directed_hausdorff subset fix
* `#11335 <https://github.com/scipy/scipy/pull/11335>`__: [ENH] sparse:
Loosen check for sparse outer indexing fast path
* `#11337 <https://github.com/scipy/scipy/pull/11337>`__: Undefined name
'e' in pavement.py
* `#11338 <https://github.com/scipy/scipy/pull/11338>`__: scipyoptdoc.py:
Remove unused variable 'sixu'
* `#11340 <https://github.com/scipy/scipy/pull/11340>`__: xrange() was
removed in Python 3 in favor of range()
* `#11342 <https://github.com/scipy/scipy/pull/11342>`__: range() was
removed in Py3 in _binned_statistic.py
* `#11343 <https://github.com/scipy/scipy/pull/11343>`__: BUG: constants:
fix 'exact' values table
* `#11347 <https://github.com/scipy/scipy/pull/11347>`__: ENH: add input
validation function and apply it to needed functions
* `#11348 <https://github.com/scipy/scipy/pull/11348>`__: MAINT: remove
six.string_types usages
* `#11349 <https://github.com/scipy/scipy/pull/11349>`__: MAINT: minor doc
fix _minimize_trustregion_constr
* `#11353 <https://github.com/scipy/scipy/pull/11353>`__: MAINT: py3 remove
various six usages
* `#11358 <https://github.com/scipy/scipy/pull/11358>`__: ENH: optimize:
Use CSR format instead of LIL for speed
* `#11362 <https://github.com/scipy/scipy/pull/11362>`__: MAINT:
sys.version_info >= 3.5
* `#11364 <https://github.com/scipy/scipy/pull/11364>`__: ENH: cache square
of sums for f_oneway
* `#11368 <https://github.com/scipy/scipy/pull/11368>`__: ENH: add optional
argument, "include_nyquist", for freqz()
* `#11372 <https://github.com/scipy/scipy/pull/11372>`__: BENCH: optimize:
added linprog presolve benchmarks
* `#11376 <https://github.com/scipy/scipy/pull/11376>`__: ENH: Add wrapper
for ?gttrf/?gttrs
* `#11377 <https://github.com/scipy/scipy/pull/11377>`__: MAINT: Remove
Python 2 code from tools/authors.py
* `#11378 <https://github.com/scipy/scipy/pull/11378>`__: ENH (WIP): Python
wrapper for ?tbtrs
* `#11379 <https://github.com/scipy/scipy/pull/11379>`__: MAINT: Remove
six.with_metaclass from benchmarks/cython_special.py
* `#11380 <https://github.com/scipy/scipy/pull/11380>`__: BUG:
sparse/isolve: bicg and qmr don't treat x0 correctly
* `#11382 <https://github.com/scipy/scipy/pull/11382>`__: MAINT: remove
error throw in binned_statistic_dd() on nonfinite...
* `#11383 <https://github.com/scipy/scipy/pull/11383>`__: MAINT: _lib:
remove py2 compat shims in getargspec
* `#11384 <https://github.com/scipy/scipy/pull/11384>`__: MAINT: Use numpy
scalar types directly
* `#11385 <https://github.com/scipy/scipy/pull/11385>`__: ENH: special: add
spherical Bessel functions to \`cython_special\`
* `#11389 <https://github.com/scipy/scipy/pull/11389>`__: MAINT:
line.startswith shouldn't be bytes
* `#11393 <https://github.com/scipy/scipy/pull/11393>`__: ENH: Speed up
truncnorm's ppf()and rvs() methods
* `#11394 <https://github.com/scipy/scipy/pull/11394>`__: MAINT: Remove
self._size (and self._random_state) from stats...
* `#11395 <https://github.com/scipy/scipy/pull/11395>`__: correction in
error message (%d>%g format)
* `#11396 <https://github.com/scipy/scipy/pull/11396>`__: DOC: revert
gh10540, removing mtrand
* `#11397 <https://github.com/scipy/scipy/pull/11397>`__: MAINT:
differential_evolution accepts np.random.Generator
* `#11402 <https://github.com/scipy/scipy/pull/11402>`__: ENH: stats can
use np.random.Generator
* `#11404 <https://github.com/scipy/scipy/pull/11404>`__: ENH: add
docstring of butter() for transfer function syntax problem
* `#11405 <https://github.com/scipy/scipy/pull/11405>`__: DOC: Fix "see
also" for SmoothBivariateSpline
* `#11408 <https://github.com/scipy/scipy/pull/11408>`__: ENH: Add a
\`plan\` argument to FFT functions in \`scipy.fft\`
* `#11411 <https://github.com/scipy/scipy/pull/11411>`__: MAINT: check
minimize duplicate evaluations
* `#11418 <https://github.com/scipy/scipy/pull/11418>`__: ENH: Linalg:
Python wrapper for ?geqrfp
* `#11419 <https://github.com/scipy/scipy/pull/11419>`__: TST: Python 3.7
mac OS gcc multibuild fix
* `#11423 <https://github.com/scipy/scipy/pull/11423>`__: ENH: Add tool to
lint diffs
* `#11425 <https://github.com/scipy/scipy/pull/11425>`__: FIX:
_array_newton should preserve complex inputs
* `#11426 <https://github.com/scipy/scipy/pull/11426>`__: MAINT: licence
for global optimization benchmarks
* `#11431 <https://github.com/scipy/scipy/pull/11431>`__: Make
median_absolute_deviation scale argument aligned w/iqr
* `#11432 <https://github.com/scipy/scipy/pull/11432>`__: Fix error message
typo
* `#11433 <https://github.com/scipy/scipy/pull/11433>`__: DOC: Remove L
from longs
* `#11434 <https://github.com/scipy/scipy/pull/11434>`__: MAINT: Python3
improvements to refguide_check.py
* `#11435 <https://github.com/scipy/scipy/pull/11435>`__: DOC: Update
runtest parallel help
* `#11436 <https://github.com/scipy/scipy/pull/11436>`__: MAINT: Remove
checks for sys.version < 3.5
* `#11437 <https://github.com/scipy/scipy/pull/11437>`__: DOC: Fix
documentation issue
* `#11439 <https://github.com/scipy/scipy/pull/11439>`__: Support path
objects (PEP 519) in mmio functions
* `#11440 <https://github.com/scipy/scipy/pull/11440>`__: correct bounds
pass in run_dualannealing for benchmarks/optimize.py
* `#11443 <https://github.com/scipy/scipy/pull/11443>`__: BENCH:
optimize_linprog remove ImportError exception
* `#11453 <https://github.com/scipy/scipy/pull/11453>`__: BUG: sparse:
convert csc/csr indices to int64 as needed
* `#11454 <https://github.com/scipy/scipy/pull/11454>`__: DOC: Remove
caveat on \`maximum_bipartite_matching\`
* `#11455 <https://github.com/scipy/scipy/pull/11455>`__: BUG: Fix
_lib._util.getargspec_no_self lack of KEYWORD_ONLY support.
* `#11456 <https://github.com/scipy/scipy/pull/11456>`__: Implementation of
khatri_rao product
* `#11459 <https://github.com/scipy/scipy/pull/11459>`__: BUG: fix
augmentation being broken in maximum_bipartite_matching
* `#11461 <https://github.com/scipy/scipy/pull/11461>`__: MAINT: minor
spelling corrections in comments in SciPy.sparse.linalg.arpack
* `#11467 <https://github.com/scipy/scipy/pull/11467>`__: [MRG] Make result
data type of KDE evaluation like in the input...
* `#11469 <https://github.com/scipy/scipy/pull/11469>`__: Update
integrate.quad documentation
* `#11472 <https://github.com/scipy/scipy/pull/11472>`__: Fixed result typo
* `#11476 <https://github.com/scipy/scipy/pull/11476>`__: DOC: stats:
Copyedit the anderson docstring.
* `#11478 <https://github.com/scipy/scipy/pull/11478>`__: ENH: avoid
unnecessary array copies in matrix product
* `#11481 <https://github.com/scipy/scipy/pull/11481>`__: BUG: Make
special.hyperu return nan if any argument is nan
* `#11483 <https://github.com/scipy/scipy/pull/11483>`__: BUG: Fixed
\`_kpp\` initialization on \`scipy.cluster.vq\`, closing...
* `#11485 <https://github.com/scipy/scipy/pull/11485>`__: ENH: Update
docstring of class KrylovJacobian to fix #2744
* `#11486 <https://github.com/scipy/scipy/pull/11486>`__: BUG: make
special.eval_hermite return nan if second argument...
* `#11487 <https://github.com/scipy/scipy/pull/11487>`__: ENH: improve
docstring of correlate and correlate2d to fix #1968
* `#11488 <https://github.com/scipy/scipy/pull/11488>`__: FIX: change "func
> fun" of scipy.optimize _root.py to solve...
* `#11489 <https://github.com/scipy/scipy/pull/11489>`__: BUG: fixes typo
introduced in PR #11253 in stats.mstats.kendalltau()
* `#11490 <https://github.com/scipy/scipy/pull/11490>`__: DOC: fix typo in
scipy/io/matlab/mio4.py
* `#11495 <https://github.com/scipy/scipy/pull/11495>`__: MAINT: refactor
slsqp to fix issue in callback function
* `#11498 <https://github.com/scipy/scipy/pull/11498>`__: [DOC] mention
graph cuts in maximum flow docstring
* `#11499 <https://github.com/scipy/scipy/pull/11499>`__: DOC: Improve
documentation of scipy.signal.signaltools.wiener
* `#11506 <https://github.com/scipy/scipy/pull/11506>`__: DOC: Fix typo in
documentation of scipy.stats.morestats
* `#11508 <https://github.com/scipy/scipy/pull/11508>`__: ENH: avoid copy
on sparse __init__ when dtype is given
* `#11509 <https://github.com/scipy/scipy/pull/11509>`__: ENH: avoid
unnecessary array copies in matrix product (again)
* `#11510 <https://github.com/scipy/scipy/pull/11510>`__: [DOC] An ex. for
creating arbitrary size tridiagonal
* `#11511 <https://github.com/scipy/scipy/pull/11511>`__: TST: pin numba
for Travis/sparse
* `#11513 <https://github.com/scipy/scipy/pull/11513>`__: TST: disable
NumPy cache dir ppc64le
* `#11514 <https://github.com/scipy/scipy/pull/11514>`__: BUG: make
special.eval_genlaguerre return nan if passed nan
* `#11517 <https://github.com/scipy/scipy/pull/11517>`__: ENH: improve
sparse.lil.tocsr performance
* `#11519 <https://github.com/scipy/scipy/pull/11519>`__: Fix fresnel
documentation
* `#11520 <https://github.com/scipy/scipy/pull/11520>`__: BUG: make
special.eval_gegenbauer return nan if passed nan
* `#11524 <https://github.com/scipy/scipy/pull/11524>`__: ENH: Cosine Sine
Decomposition
* `#11526 <https://github.com/scipy/scipy/pull/11526>`__: BUG: fix SLSQP
max iteration setting to fix #4921
* `#11527 <https://github.com/scipy/scipy/pull/11527>`__: ENH: improve
docstring of weibull_min_gen and weibull_max_gen...
* `#11530 <https://github.com/scipy/scipy/pull/11530>`__: MAINT: Removed 3
unused imports, 3 unused assignments from ndimage.
* `#11531 <https://github.com/scipy/scipy/pull/11531>`__: DOC: fix typos in
bdtr and bdtrc from gh PR 11045
* `#11532 <https://github.com/scipy/scipy/pull/11532>`__: MAINT: Fixed
several unused imports and unused assignments from...
* `#11533 <https://github.com/scipy/scipy/pull/11533>`__: MAINT: Fixed
about 100 unused imports, unused assignment warnings...
* `#11534 <https://github.com/scipy/scipy/pull/11534>`__: FIX: Allow
nonnative byte order inputs to scipy.fft
* `#11535 <https://github.com/scipy/scipy/pull/11535>`__: MAINT: Fixed
several unused imports in _lib.
* `#11536 <https://github.com/scipy/scipy/pull/11536>`__: MAINT: Fixed
several unused imports and unused assignments in...
* `#11537 <https://github.com/scipy/scipy/pull/11537>`__: MAINT: Removed an
unused import in scipy/constants.
* `#11538 <https://github.com/scipy/scipy/pull/11538>`__: MAINT: Fixed
several unused imports in scipy/fft.
* `#11539 <https://github.com/scipy/scipy/pull/11539>`__: MAINT: Fixed
several unused imports and unused assignments in...
* `#11540 <https://github.com/scipy/scipy/pull/11540>`__: MAINT: Fixed two
unused imports in scipy/misc.
* `#11541 <https://github.com/scipy/scipy/pull/11541>`__: MAINT: Fixed
several unused imports and unused assignments in...
* `#11542 <https://github.com/scipy/scipy/pull/11542>`__: MAINT: Fixed an
unused import in scipy/odr.
* `#11543 <https://github.com/scipy/scipy/pull/11543>`__: MAINT: Fixed
several unused imports and unused assignments in...
* `#11544 <https://github.com/scipy/scipy/pull/11544>`__: MAINT: Fixed
unused imports and unused assignments in scipy/integrate.
* `#11545 <https://github.com/scipy/scipy/pull/11545>`__: MAINT: Removed
unused imports and fixed unused assignments in...
* `#11546 <https://github.com/scipy/scipy/pull/11546>`__: MAINT: Removed
unused imports; fixed unused assignments in scipy/signal.
* `#11547 <https://github.com/scipy/scipy/pull/11547>`__: MAINT: Removed
unused imports; fixed unused assignments in scipy/spatial
* `#11548 <https://github.com/scipy/scipy/pull/11548>`__: MAINT: Removed
unused imports; fixed unused assignments in scipy.sparse.
* `#11549 <https://github.com/scipy/scipy/pull/11549>`__: MAINT: Replace
xrange with range
* `#11560 <https://github.com/scipy/scipy/pull/11560>`__: MAINT: stats:
remove an _argcheck call
* `#11573 <https://github.com/scipy/scipy/pull/11573>`__: MAINT: Removed
unused imports; fixed unused assignments in scipy/stats.
* `#11574 <https://github.com/scipy/scipy/pull/11574>`__: MAINT: Small
change to \`optimize.nnls\` error messages.
* `#11575 <https://github.com/scipy/scipy/pull/11575>`__: MAINT: Update
sytrd/hetrd tests
* `#11582 <https://github.com/scipy/scipy/pull/11582>`__: MAINT: fix typo
in quadpack.py closes #11448
* `#11585 <https://github.com/scipy/scipy/pull/11585>`__: TST: add
openblas_support.py
* `#11587 <https://github.com/scipy/scipy/pull/11587>`__: BUG: Differential
evolution with LinearConstraint with sparse...
* `#11588 <https://github.com/scipy/scipy/pull/11588>`__: MAINT: Fully
display problem size in lsmr/lsqr.
* `#11589 <https://github.com/scipy/scipy/pull/11589>`__: MAINT: Remove
Python 2 workarounds
* `#11590 <https://github.com/scipy/scipy/pull/11590>`__: MAINT: Remove
Python2 module init
* `#11605 <https://github.com/scipy/scipy/pull/11605>`__: Standardization
of bounds in _linprog_util.py
* `#11608 <https://github.com/scipy/scipy/pull/11608>`__: BUG: fix use of
is in DE callback
* `#11614 <https://github.com/scipy/scipy/pull/11614>`__: TST, MAINT:
TestCtypesQuad skip with pytest
* `#11619 <https://github.com/scipy/scipy/pull/11619>`__: ENH: add
nan_policy argument and functionality to stats.mstats.winsorize
* `#11621 <https://github.com/scipy/scipy/pull/11621>`__: MAINT: Cleanup
uses of PY_VERSION_HEX, NPY_PY3K in ndimage
* `#11622 <https://github.com/scipy/scipy/pull/11622>`__: MAINT: Cleanup
uses of PY_VERSION_HEX, NPY_PY3K in sparse
* `#11623 <https://github.com/scipy/scipy/pull/11623>`__: MAINT: Remove
unnecessary 'from __future__ import ...' statements
* `#11626 <https://github.com/scipy/scipy/pull/11626>`__: MAINT: Cleanup
uses of PY_VERSION_HEX
* `#11627 <https://github.com/scipy/scipy/pull/11627>`__: ENH: add analytic
formula for normal moments
* `#11628 <https://github.com/scipy/scipy/pull/11628>`__: MAINT, TST:
adjust azure for matplotlib release
* `#11631 <https://github.com/scipy/scipy/pull/11631>`__: Revert to old
behaviour for constant cost matrices in \`linear_sum_assignment\`
* `#11632 <https://github.com/scipy/scipy/pull/11632>`__: MAINT: Define
ARRAY_ANYORDER with DEF instead of cdef
* `#11639 <https://github.com/scipy/scipy/pull/11639>`__: BUG:
interpolate/interp1d: fail gracefully on allnan inputs
* `#11640 <https://github.com/scipy/scipy/pull/11640>`__: MAINT: Fix BLAS3
trmm wrapper for "side" arg
* `#11642 <https://github.com/scipy/scipy/pull/11642>`__: TST, MAINT:
remove dead code in Travis CI
* `#11643 <https://github.com/scipy/scipy/pull/11643>`__: MAINT: fix
conversion in binom_test
* `#11645 <https://github.com/scipy/scipy/pull/11645>`__: MAINT: Assorted
clean up.
* `#11646 <https://github.com/scipy/scipy/pull/11646>`__: MAINT: Remove
unnecessary 'from __future__ import ...' statements
* `#11647 <https://github.com/scipy/scipy/pull/11647>`__: DOC: document
return_all arguments
* `#11648 <https://github.com/scipy/scipy/pull/11648>`__: Perform geometric
slerp in quaternion space
* `#11651 <https://github.com/scipy/scipy/pull/11651>`__: DOC: Update paper
URL in lambertw documentation
* `#11653 <https://github.com/scipy/scipy/pull/11653>`__: PERF: Switch to
C++ STL std::nth_element
* `#11655 <https://github.com/scipy/scipy/pull/11655>`__: MAINT: Remove
Python2 cStringStream
* `#11657 <https://github.com/scipy/scipy/pull/11657>`__: ENH: Add wrapper
for ?pttrf/?pttrs
* `#11664 <https://github.com/scipy/scipy/pull/11664>`__: ENH: Add wrapper
for ?gejsv
* `#11665 <https://github.com/scipy/scipy/pull/11665>`__: ENH: Add wrapper
for ?pteqr
* `#11667 <https://github.com/scipy/scipy/pull/11667>`__: BUG: Noncentral
Fisher distribution (fix nanvalues when nc=0)
* `#11668 <https://github.com/scipy/scipy/pull/11668>`__: ENH: Add wrapper
for ?gtsvx
* `#11671 <https://github.com/scipy/scipy/pull/11671>`__: TST, CI: restore
Azure temporarily
* `#11672 <https://github.com/scipy/scipy/pull/11672>`__: Add warning to
medfilt when array size < kernel_size
* `#11674 <https://github.com/scipy/scipy/pull/11674>`__: TST: bump test
precision for two np.dot related linalg tests.
* `#11675 <https://github.com/scipy/scipy/pull/11675>`__: MAINT:
pycodestyle cleanup
* `#11677 <https://github.com/scipy/scipy/pull/11677>`__: ENH: Add wrapper
for ?ptsvx
* `#11679 <https://github.com/scipy/scipy/pull/11679>`__: BENCH: cKDTree
benchmarks added: balanced/unbalanced tree (related...
* `#11680 <https://github.com/scipy/scipy/pull/11680>`__: MAINT:
rng_integers allows RandomState.randint or Generator.integers
* `#11683 <https://github.com/scipy/scipy/pull/11683>`__: BUG: fix
mode='mirror' on length 1 axes
* `#11684 <https://github.com/scipy/scipy/pull/11684>`__: BUG: fix
scipy.special.voigt_profile
* `#11687 <https://github.com/scipy/scipy/pull/11687>`__: MAINT:
sparse.linalg: avoid importing from \`np.core\`
* `#11688 <https://github.com/scipy/scipy/pull/11688>`__: ENH: mypy: get
specific about ignoring missing imports
* `#11690 <https://github.com/scipy/scipy/pull/11690>`__: MAINT: mypy: fix
errors about incompatible types in lists
* `#11692 <https://github.com/scipy/scipy/pull/11692>`__: MAINT: mypy: fix
remaining type errors
* `#11694 <https://github.com/scipy/scipy/pull/11694>`__: TST, MAINT: bump
to OpenBLAS 0.3.9 stable, raise tol for Win...
* `#11697 <https://github.com/scipy/scipy/pull/11697>`__: DOC: fix pdf of
norminvgauss in scipy.stats
* `#11701 <https://github.com/scipy/scipy/pull/11701>`__: MAINT: special:
add rudimentary types for \`_ufuncs\` extension...
* `#11702 <https://github.com/scipy/scipy/pull/11702>`__: BUG: Fixed a
postmerge bug for eigh()
* `#11703 <https://github.com/scipy/scipy/pull/11703>`__: Improves
docstring with consistent L2norm
* `#11705 <https://github.com/scipy/scipy/pull/11705>`__: DOC: Slerp the
SphericalVoronoi docstring
* `#11706 <https://github.com/scipy/scipy/pull/11706>`__: ENH: mypy: add
\`mypy\` option to \`runtests.py\`
* `#11710 <https://github.com/scipy/scipy/pull/11710>`__: ENH: Modified
stats.kstest() to use the exact stats.kstwo.sf()...
* `#11715 <https://github.com/scipy/scipy/pull/11715>`__: DOC: add ..
versionadded:: to as_matrix/from_matrix in spatial/transfâ€¦
* `#11716 <https://github.com/scipy/scipy/pull/11716>`__: BENCH: fix
benchmark imports for \`\`optimize_linprog.py\`\`
* `#11721 <https://github.com/scipy/scipy/pull/11721>`__: MAINT: io: Remove
nowunnecessary \`# type: ignore\`
* `#11722 <https://github.com/scipy/scipy/pull/11722>`__: MAINT: mypy:
remove mpmath from the ratchet
* `#11726 <https://github.com/scipy/scipy/pull/11726>`__: Handle constant
input for scipy.stats.f_oneway
* `#11729 <https://github.com/scipy/scipy/pull/11729>`__: BENCH: optimize:
added infeasible benchmarks for linprog
* `#11731 <https://github.com/scipy/scipy/pull/11731>`__: fix inaccurate
information about Mac OS compiler (#11696)
* `#11733 <https://github.com/scipy/scipy/pull/11733>`__: Fix inaccurate
docstring example of HalfspaceIntersection
* `#11734 <https://github.com/scipy/scipy/pull/11734>`__: Doc: fix
inaccurate docstring of SmoothBivariateSpline.
* `#11735 <https://github.com/scipy/scipy/pull/11735>`__: Bug: stats: fix
wrong shape from median_absolute_deviation for...
* `#11736 <https://github.com/scipy/scipy/pull/11736>`__: ENH: add input
validations and its tests for FITPACK in fitpack2.py
* `#11737 <https://github.com/scipy/scipy/pull/11737>`__: BUG: Prevent
crashes due to MKL bug in ?heevr
* `#11739 <https://github.com/scipy/scipy/pull/11739>`__: MAINT: special:
add type stubs for \`_test_round.pyx\`
* `#11740 <https://github.com/scipy/scipy/pull/11740>`__: MAINT: special:
remove unused specfun f2py wrappers
* `#11741 <https://github.com/scipy/scipy/pull/11741>`__: BUG: fix small
tolerances handling for minpack and add a test.
* `#11743 <https://github.com/scipy/scipy/pull/11743>`__: Doc: fix
docstring of rfft, rfft2, rfftn, irfft, irfft2, irfftn...
* `#11744 <https://github.com/scipy/scipy/pull/11744>`__: MAINT: Remove
unused py3k.h code
* `#11745 <https://github.com/scipy/scipy/pull/11745>`__: DOC: stats: Clean
up ncf documentation.
* `#11748 <https://github.com/scipy/scipy/pull/11748>`__: MAINT: special:
type \`cython_special\` as \`Any\`
* `#11750 <https://github.com/scipy/scipy/pull/11750>`__: MAINT: type hints
for \`_spherical_voronoi\`
* `#11752 <https://github.com/scipy/scipy/pull/11752>`__: DOC: fix
docstring of scipy.optimize.least_squares
* `#11753 <https://github.com/scipy/scipy/pull/11753>`__: ENH: add input
validation for dendrogram and a test.
* `#11755 <https://github.com/scipy/scipy/pull/11755>`__: MAINT: Replace
uses of tostring with tobytes
* `#11757 <https://github.com/scipy/scipy/pull/11757>`__: ENH: improve
binned_statistics_2d performance.
* `#11759 <https://github.com/scipy/scipy/pull/11759>`__: ENH: optimize:
add HiGHS methods to linprog
* `#11760 <https://github.com/scipy/scipy/pull/11760>`__: MAINT: Remove
FileStream replaced by GenericStream
* `#11761 <https://github.com/scipy/scipy/pull/11761>`__: MAINT: Replace
npy_3kcompat.h shims
* `#11765 <https://github.com/scipy/scipy/pull/11765>`__: TST: Speedup
test_pascal which is VERY slow on Azure
* `#11766 <https://github.com/scipy/scipy/pull/11766>`__: TST: speed up
differential_evolution L8 test
* `#11767 <https://github.com/scipy/scipy/pull/11767>`__: Change comment in
continuous rv gamma fit function
* `#11776 <https://github.com/scipy/scipy/pull/11776>`__: Add domain option
for resample.
* `#11784 <https://github.com/scipy/scipy/pull/11784>`__: BUG: Fixed
calculation of nonzero elements in scipy.sparse.random
* `#11786 <https://github.com/scipy/scipy/pull/11786>`__: ENH: stats: add
axis keyword argument to scipy.stats.rankdata
* `#11789 <https://github.com/scipy/scipy/pull/11789>`__: Doc: fix
docstring of scipy.spatial.chebyshev
* `#11792 <https://github.com/scipy/scipy/pull/11792>`__: DOC: dev: add
guidelines for developing public Cython APIs
* `#11794 <https://github.com/scipy/scipy/pull/11794>`__: MAINT: add
comments explaining a problem in cython_optimize organization
* `#11796 <https://github.com/scipy/scipy/pull/11796>`__: DOC: add a note
about precision losing in csgraph.minimum_spanning_tree...
* `#11797 <https://github.com/scipy/scipy/pull/11797>`__: ENH: Allow
negative \`axis\` in \`interpolate.BSpline\`. Also...
* `#11798 <https://github.com/scipy/scipy/pull/11798>`__: Add
simplify_cells parameter to scipy.io.loadmat
* `#11801 <https://github.com/scipy/scipy/pull/11801>`__: MAINT, DOC: minor
changes of ratioofuniforms in scipy.stats
* `#11802 <https://github.com/scipy/scipy/pull/11802>`__: BUG: fix
scipy.odr to handle multidimensional independent and...
* `#11803 <https://github.com/scipy/scipy/pull/11803>`__:
scipy.stats.trapz: Use analytic formulas for stats and entropy.
* `#11808 <https://github.com/scipy/scipy/pull/11808>`__: DOC: add Examples
in the scipy.interpolate.interpn docstring.
* `#11809 <https://github.com/scipy/scipy/pull/11809>`__: Duplicate entries
are added together in csr_matrix constructor
* `#11813 <https://github.com/scipy/scipy/pull/11813>`__: MAINT: bump
pyflakes to version 2.1.1
* `#11814 <https://github.com/scipy/scipy/pull/11814>`__: BUG:
scipy.sparse.csr doctest failing with incorrect output value
* `#11817 <https://github.com/scipy/scipy/pull/11817>`__: DOC: add Examples
in the scipy.optimize.leastsq docstring
* `#11820 <https://github.com/scipy/scipy/pull/11820>`__: ENH: Raise an
error on incorrect bounds format in optimize.fmin_l_bfgs_b
* `#11822 <https://github.com/scipy/scipy/pull/11822>`__: CI: add github
actions for macOS
* `#11824 <https://github.com/scipy/scipy/pull/11824>`__: DOC: add Examples
in scipy.optimize.line_search docstring (line_search_wolfe2)
* `#11830 <https://github.com/scipy/scipy/pull/11830>`__: TST: Always use
fork for multiprocessing in fft tests
* `#11831 <https://github.com/scipy/scipy/pull/11831>`__: DOC: add Examples
and Returns in scipy.misc.central_diff_weights...
* `#11832 <https://github.com/scipy/scipy/pull/11832>`__: DOC: stats: Some
small corrections to a couple docstrings.
* `#11833 <https://github.com/scipy/scipy/pull/11833>`__: BUG: Fix
compiler_name when there are paths used in flags
* `#11836 <https://github.com/scipy/scipy/pull/11836>`__: MAINT:
reintroduce multiprocessing tests on Python3.8
* `#11837 <https://github.com/scipy/scipy/pull/11837>`__: Doc: add Examples
in scipy.optimize.fsolve docstring
* `#11838 <https://github.com/scipy/scipy/pull/11838>`__: Doc: add Examples
in scipy.sparse.linalg.minres docstring
* `#11840 <https://github.com/scipy/scipy/pull/11840>`__: BUG:
sparse.linalg: fix overflow in expm intermediate computation
* `#11842 <https://github.com/scipy/scipy/pull/11842>`__: BLD: fix build
with gfortran 10
* `#11843 <https://github.com/scipy/scipy/pull/11843>`__: MAINT: Simplify
floats in constants.py
* `#11847 <https://github.com/scipy/scipy/pull/11847>`__: DOC: add a
tutorial of scipy.optimize.linprog
* `#11849 <https://github.com/scipy/scipy/pull/11849>`__: ENH: speed up
geninvgauss by using cython
* `#11852 <https://github.com/scipy/scipy/pull/11852>`__: CI: remove osx
from travisCI
* `#11857 <https://github.com/scipy/scipy/pull/11857>`__: BUG: Change
parameter fc of gausspulse to float.
* `#11861 <https://github.com/scipy/scipy/pull/11861>`__: order = degree +
1 for splines
* `#11863 <https://github.com/scipy/scipy/pull/11863>`__: Make g77 ABI
wrapper work with gfortran ABI lapack
* `#11866 <https://github.com/scipy/scipy/pull/11866>`__: MAINT: add type
ignores to sympy and matplotlib imports
* `#11867 <https://github.com/scipy/scipy/pull/11867>`__: CI: Add arm64 in
travisci
* `#11869 <https://github.com/scipy/scipy/pull/11869>`__: DOC: signal: Add
an example to the lsim2 docstring.
* `#11870 <https://github.com/scipy/scipy/pull/11870>`__: DOC: signal: Use
impulse instead of impulse2 in the impulse example...
* `#11871 <https://github.com/scipy/scipy/pull/11871>`__: ENH: type ufuncs
in special as ufuncs instead of Any
* `#11872 <https://github.com/scipy/scipy/pull/11872>`__: BUG: avoid
recomputing in scipy.optimize.optimize.MemoizeJac
* `#11873 <https://github.com/scipy/scipy/pull/11873>`__: DOC: signal: Fix
ODE in impulse and impulse2 docstrings.
* `#11874 <https://github.com/scipy/scipy/pull/11874>`__: DOC: add Examples
of docstring for scipy.interpolate.approximate_taylor_polynomial
* `#11878 <https://github.com/scipy/scipy/pull/11878>`__: DOC: fixed a typo
under scipy/integrate/quadrature.py
* `#11879 <https://github.com/scipy/scipy/pull/11879>`__: BUG: Fix index
arrays overflow in sparse.kron
* `#11880 <https://github.com/scipy/scipy/pull/11880>`__: DOC: stats: Add
Examples for bartlett, fligner, levene.
* `#11881 <https://github.com/scipy/scipy/pull/11881>`__: MAINT: normalise
numpy>np in optimize.py
* `#11882 <https://github.com/scipy/scipy/pull/11882>`__: DOC: add Examples
for scipy.io.readsav docstring.
* `#11883 <https://github.com/scipy/scipy/pull/11883>`__: DOC: add Returns
and Examples for scipy.ndimage.correlate() docstring
* `#11885 <https://github.com/scipy/scipy/pull/11885>`__: BUG: stats:
Handle multidimensional arrays in f_oneway, and more.
* `#11889 <https://github.com/scipy/scipy/pull/11889>`__: DOC: signal:
Unify lsim and lsim2 examples.
* `#11896 <https://github.com/scipy/scipy/pull/11896>`__: BUG: stats: Fix
handling of size 0 inputs for ttest_rel and ttest_ind.
* `#11897 <https://github.com/scipy/scipy/pull/11897>`__: DOC: Remove
misleading default values from fit method
* `#11898 <https://github.com/scipy/scipy/pull/11898>`__: MAINT:
LinearVectorFunction.J is ndarray closes #11886
* `#11902 <https://github.com/scipy/scipy/pull/11902>`__: BUG: linalg:
test_heequb failure
* `#11904 <https://github.com/scipy/scipy/pull/11904>`__: fix realtoreal
transforms for complex inputs and overwrite_x=True
* `#11906 <https://github.com/scipy/scipy/pull/11906>`__: DOC: stats: fix
error caused by trapz docstring
* `#11907 <https://github.com/scipy/scipy/pull/11907>`__: BUG: stats: fixed
SEGFAULT from Issue #9710
* `#11912 <https://github.com/scipy/scipy/pull/11912>`__: ENH: Respect
matplotlib color palette with hierarchy/dendrogram.
* `#11914 <https://github.com/scipy/scipy/pull/11914>`__: DOC: refine doc
for spatial.distance.squareform
* `#11915 <https://github.com/scipy/scipy/pull/11915>`__: ENH: Ndim linear
operator
* `#11919 <https://github.com/scipy/scipy/pull/11919>`__: ENH: expose
"window_size" parameter in find_peaks_cwt()
* `#11920 <https://github.com/scipy/scipy/pull/11920>`__: DOC: explain M,
diffev
* `#11923 <https://github.com/scipy/scipy/pull/11923>`__: CI: macOS install
swig closes #11922
* `#11924 <https://github.com/scipy/scipy/pull/11924>`__: DOC: add Examples
for scipy.optimize.bracket() docstring
* `#11930 <https://github.com/scipy/scipy/pull/11930>`__: DOC: add Examples
and clean up for signal.qspline1d and signal.qspline_eval...
* `#11931 <https://github.com/scipy/scipy/pull/11931>`__: DOC: add Examples
for sparse.linalg.bicg docstring.
* `#11933 <https://github.com/scipy/scipy/pull/11933>`__: DOC: Add original
reference for YaoLiu objective functions
* `#11934 <https://github.com/scipy/scipy/pull/11934>`__: DOC, MAINT:
mailmap update
* `#11935 <https://github.com/scipy/scipy/pull/11935>`__: DOC: make
scipy.stats.mode documentation reflect that the function...
* `#11936 <https://github.com/scipy/scipy/pull/11936>`__: ENH: special: add
type stubs for \`orthogonal.py\`
* `#11937 <https://github.com/scipy/scipy/pull/11937>`__: DOC: Add
docstring examples to fft2, ifft2, io.savemat
* `#11938 <https://github.com/scipy/scipy/pull/11938>`__: MAINT: add helper
function for deprecating Cython API functions
* `#11942 <https://github.com/scipy/scipy/pull/11942>`__: MAINT: ignore
conditional import in _lib/_util
* `#11943 <https://github.com/scipy/scipy/pull/11943>`__: MAINT: special:
add types for geterr/seterr/errstate
* `#11946 <https://github.com/scipy/scipy/pull/11946>`__: MAINT: add
py.typed marker
* `#11950 <https://github.com/scipy/scipy/pull/11950>`__: TST:MAINT:
separated and stabilized heequb tests
* `#11952 <https://github.com/scipy/scipy/pull/11952>`__: DOC: update
toolchain roadmap for py38, C99, C++11/14
* `#11957 <https://github.com/scipy/scipy/pull/11957>`__: MAINT: Use
np.errstate context manager instead of np.seterr.
* `#11958 <https://github.com/scipy/scipy/pull/11958>`__: MAINT:
interpolate: Remove some trailing spaces.
* `#11960 <https://github.com/scipy/scipy/pull/11960>`__: MAINT: Cleanup
Python2 compatibility code
* `#11961 <https://github.com/scipy/scipy/pull/11961>`__: MAINT: Remove
numpy/npy_3kcompat.h from _superluobject.c
* `#11962 <https://github.com/scipy/scipy/pull/11962>`__: DOC: Fix type of
\`codes\` in docstring of \`_vq._vq()\`
* `#11964 <https://github.com/scipy/scipy/pull/11964>`__: MAINT: Cleanup
unused IS_PYPY
* `#11969 <https://github.com/scipy/scipy/pull/11969>`__: DOC: add Examples
and fix docstring for special.airye
* `#11970 <https://github.com/scipy/scipy/pull/11970>`__: BUG: sparse:
'diagonal' of sparse matrices fixed to match numpy's...
* `#11974 <https://github.com/scipy/scipy/pull/11974>`__: BUG: Reshape
oaconvolve output even when no axes are convolved
* `#11976 <https://github.com/scipy/scipy/pull/11976>`__: MAINT: add logo
for github actions
* `#11977 <https://github.com/scipy/scipy/pull/11977>`__: CI: test bleeding
edge Python
* `#11979 <https://github.com/scipy/scipy/pull/11979>`__: DOC: add Examples
for stats.ranksums() docstring.
* `#11982 <https://github.com/scipy/scipy/pull/11982>`__: Fix KMeans++
initialisation slowness
* `#11983 <https://github.com/scipy/scipy/pull/11983>`__: DOC: add Examples
for stats.mstats.argstoarray() docstring.
* `#11986 <https://github.com/scipy/scipy/pull/11986>`__: Avoid bugs in
ndimage when the output and input arrays overlap...
* `#11988 <https://github.com/scipy/scipy/pull/11988>`__: ENH: Override fit
method of Laplace distribution with Maximum...
* `#11993 <https://github.com/scipy/scipy/pull/11993>`__: TST, CI: Azure
Windows path fixups
* `#11995 <https://github.com/scipy/scipy/pull/11995>`__: MAINT, CI: remove
custom mingw Azure
* `#11996 <https://github.com/scipy/scipy/pull/11996>`__: DOC: add Examples
and fix pep warning for fft.set_global_backend...
* `#11997 <https://github.com/scipy/scipy/pull/11997>`__: MAINT, CI: Azure
OpenBLAS simplify
* `#11998 <https://github.com/scipy/scipy/pull/11998>`__: BENCH: Run
against current HEAD instead of master
* `#12001 <https://github.com/scipy/scipy/pull/12001>`__: ENH: stats:
Implement _logpdf for the maxwell distribution.
* `#12004 <https://github.com/scipy/scipy/pull/12004>`__: DOC: add examples
for integrate.quad_vec() and integrate.quad_explain()
* `#12005 <https://github.com/scipy/scipy/pull/12005>`__: MAINT: Use helper
functions in ?tbtrs tests
* `#12007 <https://github.com/scipy/scipy/pull/12007>`__: MAINT: updated
LICENSES_bundled for pybind11 and six
* `#12008 <https://github.com/scipy/scipy/pull/12008>`__: DOC: roadmap
update
* `#12009 <https://github.com/scipy/scipy/pull/12009>`__: ENH: optimize:
support 64bit BLAS in lbfgsb
* `#12010 <https://github.com/scipy/scipy/pull/12010>`__: ENH:
sparse.linalg: support 64bit BLAS in isolve
* `#12012 <https://github.com/scipy/scipy/pull/12012>`__: DOC: add Examples
for interpolate.barycentric_interpolate(),...
* `#12013 <https://github.com/scipy/scipy/pull/12013>`__: MAINT: remove
last uses of numpy.dual
* `#12014 <https://github.com/scipy/scipy/pull/12014>`__: CI: print 10
slowest tests
* `#12020 <https://github.com/scipy/scipy/pull/12020>`__: MAINT: Removed
handling of circular input in SphericalVoronoi
* `#12022 <https://github.com/scipy/scipy/pull/12022>`__: DOC : added
default value of absolute_sigma to False in scipy.optimize.curve_fit docs
* `#12024 <https://github.com/scipy/scipy/pull/12024>`__: DOC: add Examples
for io.hb_read() and io.hb_write()
* `#12025 <https://github.com/scipy/scipy/pull/12025>`__: MAINT: Remove
numpy/npy_3kcompat.h from nd_image
* `#12028 <https://github.com/scipy/scipy/pull/12028>`__: Spelling
correction
* `#12030 <https://github.com/scipy/scipy/pull/12030>`__: ENH:
optimize/_trlib: support ILP64 blas/lapack
* `#12036 <https://github.com/scipy/scipy/pull/12036>`__: MAINT: Add some
generated C files .gitignore
* `#12038 <https://github.com/scipy/scipy/pull/12038>`__: MAINT, CI: Travis
rackcdn>conda.org
* `#12039 <https://github.com/scipy/scipy/pull/12039>`__: MAINT: signal:
Lower the resolution of the plots in the chirp...
* `#12040 <https://github.com/scipy/scipy/pull/12040>`__: DOC: add Examples
for ndimage.spline_filter1d() and spline_filter()...
* `#12044 <https://github.com/scipy/scipy/pull/12044>`__: MAINT: combine
aptget update and aptget install into one RUN
* `#12045 <https://github.com/scipy/scipy/pull/12045>`__: TST: Reduce size
of test_diagonal_types to speed up tests
* `#12046 <https://github.com/scipy/scipy/pull/12046>`__: MAINT: Remove
unused npy_3kcompat.h
* `#12047 <https://github.com/scipy/scipy/pull/12047>`__: MAINT: Cython 3.0
compat
* `#12050 <https://github.com/scipy/scipy/pull/12050>`__: DOC: add download
number badges of PyPI and condaforge in README.rst
* `#12052 <https://github.com/scipy/scipy/pull/12052>`__: DOC: add Examples
odr.models.polynomial() and fix odr.odr docstring...
* `#12056 <https://github.com/scipy/scipy/pull/12056>`__: ENH: Modifies
shapiro to return a named tuple
* `#12057 <https://github.com/scipy/scipy/pull/12057>`__: Adding my name
into THANKS.txt
* `#12060 <https://github.com/scipy/scipy/pull/12060>`__: TST: Reduce
number of test_diagonal_types configs
* `#12062 <https://github.com/scipy/scipy/pull/12062>`__: TST: Change
dec.slow to pytest.mark.slow
* `#12068 <https://github.com/scipy/scipy/pull/12068>`__: ENH: Modifies
jarque_bera to return a named tuple
* `#12070 <https://github.com/scipy/scipy/pull/12070>`__: MAINT, CI:
appveyor rack>conda.org
* `#12072 <https://github.com/scipy/scipy/pull/12072>`__: TST: filter out
factorial(float) deprecation warning
* `#12078 <https://github.com/scipy/scipy/pull/12078>`__: TST: Skip test on
colab with large memory alloc
* `#12079 <https://github.com/scipy/scipy/pull/12079>`__: DOC: Remove
Python2 reference from stats tutorial
* `#12081 <https://github.com/scipy/scipy/pull/12081>`__: DOC: add Examples
docstring for optimize.show_options()
* `#12084 <https://github.com/scipy/scipy/pull/12084>`__: BUG: interpolate:
fix BarycentricInterpolator with integer input...
* `#12089 <https://github.com/scipy/scipy/pull/12089>`__: ENH:
spatial/qhull: support ILP64 Lapack
* `#12090 <https://github.com/scipy/scipy/pull/12090>`__: ENH: integrate:
support ILP64 BLAS in odeint/vode/lsoda
* `#12091 <https://github.com/scipy/scipy/pull/12091>`__: ENH: integrate:
support ILP64 in quadpack
* `#12092 <https://github.com/scipy/scipy/pull/12092>`__: BUG: Fix dropping
dt in signal.StateSpace
* `#12093 <https://github.com/scipy/scipy/pull/12093>`__: MAINT: Rollback
python2.6 workaround
* `#12094 <https://github.com/scipy/scipy/pull/12094>`__: MAINT:
\`openblas_support\` hash checks
* `#12095 <https://github.com/scipy/scipy/pull/12095>`__: MAINT: ndimage:
change \`shares_memory\` to \`may_share_memory\`
* `#12098 <https://github.com/scipy/scipy/pull/12098>`__: Doc: change 4
model instances of odr to be instances of \`Model\`...
* `#12101 <https://github.com/scipy/scipy/pull/12101>`__: Removed more
unused imports and assignments.
* `#12107 <https://github.com/scipy/scipy/pull/12107>`__: ENH: Area
calculation for 2D inputs in SphericalVoronoi
* `#12108 <https://github.com/scipy/scipy/pull/12108>`__: MAINT: ensure
attributes have correct data type in \`SphericalVoronoi\`
* `#12109 <https://github.com/scipy/scipy/pull/12109>`__: degree is not
order in splines
* `#12110 <https://github.com/scipy/scipy/pull/12110>`__: ENH: More
helpful/forgiving io.wavfile errors
* `#12117 <https://github.com/scipy/scipy/pull/12117>`__: BUG: fix newline
* `#12123 <https://github.com/scipy/scipy/pull/12123>`__: [MAINT] Fix error
on PyData/Sparse import.
* `#12124 <https://github.com/scipy/scipy/pull/12124>`__: TST: Always test
matmul now that Python3.5+ is required
* `#12126 <https://github.com/scipy/scipy/pull/12126>`__: TST: Cleanup
unused matplotlib code.
* `#12127 <https://github.com/scipy/scipy/pull/12127>`__: DOC: update
docstrings of signal.cspline2d, qspline2d, sepfir2d
* `#12130 <https://github.com/scipy/scipy/pull/12130>`__: MAINT: Fixing
broken links with linkchecker
* `#12135 <https://github.com/scipy/scipy/pull/12135>`__: ENH: linalg: Add
the function convolution_matrix.
* `#12136 <https://github.com/scipy/scipy/pull/12136>`__: MAINT: Cleanup
np.poly1d hack
* `#12137 <https://github.com/scipy/scipy/pull/12137>`__: TST, CI:
reproduce wheels 32bit setup
* `#12140 <https://github.com/scipy/scipy/pull/12140>`__: TST: stats: add
kstwo, ksone to slow tests.
* `#12141 <https://github.com/scipy/scipy/pull/12141>`__: Support 64bit
integer size in Fitpack
* `#12151 <https://github.com/scipy/scipy/pull/12151>`__: DOC: Correct
Rosenbrock function sum
* `#12159 <https://github.com/scipy/scipy/pull/12159>`__: BUG: Fix length
calculation in upfirdn
* `#12160 <https://github.com/scipy/scipy/pull/12160>`__: BUG: Fix M_PI
* `#12168 <https://github.com/scipy/scipy/pull/12168>`__: DOC: add an
obsolete version checking javascript to doc release...
* `#12171 <https://github.com/scipy/scipy/pull/12171>`__: CI, MAINT: Azure
OpenBLAS drive flip
* `#12172 <https://github.com/scipy/scipy/pull/12172>`__: ENH: Bounds for
the Powell minimization method
* `#12175 <https://github.com/scipy/scipy/pull/12175>`__: BLD: support more
Fortran compilers for ilp64 and macro expansion...
* `#12179 <https://github.com/scipy/scipy/pull/12179>`__: BUG: stats: A few
distributions didn't accept lists as arguments.
* `#12180 <https://github.com/scipy/scipy/pull/12180>`__: MAINT: removed
redundant import in SphericalVoronoi tests
* `#12181 <https://github.com/scipy/scipy/pull/12181>`__: DOC: for
versionwarning don't use $.getScript
* `#12182 <https://github.com/scipy/scipy/pull/12182>`__: MAINT: random
sampling on the hypersphere in SphericalVoronoi...
* `#12194 <https://github.com/scipy/scipy/pull/12194>`__: MAINT: Module and
example cleanups for doc build
* `#12202 <https://github.com/scipy/scipy/pull/12202>`__: ENH: tool to DL
release wheels from Anaconda
* `#12210 <https://github.com/scipy/scipy/pull/12210>`__: Remove py.typed
marker (at least for the release)
* `#12217 <https://github.com/scipy/scipy/pull/12217>`__: BUG: stats: Fix
handling of edge cases in median_abs_deviation.
* `#12223 <https://github.com/scipy/scipy/pull/12223>`__: BUG: stats:
wilcoxon returned p > 1 for certain inputs.
* `#12227 <https://github.com/scipy/scipy/pull/12227>`__: BLD: Set macos
min version when building rectangular_lsap
* `#12229 <https://github.com/scipy/scipy/pull/12229>`__: MAINT:
tools/gh_lists.py: fix http header case sensitivity issue
* `#12236 <https://github.com/scipy/scipy/pull/12236>`__: DOC: Fix a couple
grammatical mistakes in 1.5.0notes.rst.
Checksums
=========
MD5
~~~
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Hi all,
just curious, has anyone reservations about extending the ndarray
struct (and the void scalar one)?
The reason is that, I am starting to dislike the way we handle the
buffer interface.
Due to issues with backward compatibility, we cannot use the "right"
way to free the buffer information. Because of that, the way we solve
it is by storing lists of pointers in a dictionary...
To me this seems a bit complicating, and is annoying since it adds a
dictionary lookup overhead to every single array deletion (and
inserting for every buffer creation). Also, it looks a bit like a
memory leak in some cases (although that probably only annoys me and
only when running valgrind).
It seems that it would be much simpler to tag the bufferinfo on to the
array object itself. Which, however, would require extending the array
object by a single pointer [1].
Extending is in theory an ABI break if anyone subclasses ndarray from C
(extending the struct) and does not very carefully anticipate the
possibility. I am not even sure we support that, but its hard to be
sure...
Cheers,
Sebastian
[1] The size difference should not matter IMO, and with cythons
memoryviews buffers are not an uncommon feature in any case, for the
void scalar it is a bit bigger, but they are also very rare.
(I thought of using weak references, but the CPython API seems not very
fleshed out, or at least not documented, so not sure about that).
2
2
The NumPy web team is excited to announce the launch of the newly
redesigned numpy.org. To transform the website into a comprehensive, yet
usercentric, resource of all things NumPy was a primary focus of this
monthslong effort. We thank Joe LaChance, Ralf Gommers, Shaloo Shalini,
Shekhar Prasad Rajak, Ross Barnowski, and Mars Lee for their extensive
contributions to the project.
The new site features a curated collection of NumPy related educational
resources for every user level, an overview of the entire Python scientific
computing ecosystem, and several case studies highlighting the importance
of the library to the many advances in scientific research as well as the
industry in recent years. The “Install” and “Get Help” pages offer advice
on how to find answers to installation and usage questions, while those who
are looking to connect with others within our large and diverse community
will find the “Community” page very helpful.
The new website will be updated on a regular basis with news about the
NumPy project development milestones, community initiatives and events.
Visitors are encouraged to explore the website and sign up for the
newsletter.
Next, the NumPy web team will focus on updating graphics and project
identity (a new logo is coming!), adding an installation widget and
translations, better integrating the project documentation via the new
Sphinx theme, and improving the interactive terminal experience. Also, we
are looking to expand our portfolio of case studies and would appreciate
any assistance in this matter.
Best regards,
Inessa Pawson
NumPy web team
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