Mailman 3 May 2019 - NumPy-Discussion

New Proposed Time for the NumPy Community Meeting
by Hameer Abbasi 16 May '19

16 May '19

Hello everyone! I’d like to propose that we shift the time of the NumPy community meeting to one hour earlier starting next week. The reason is twofold: One, we have an Indian student who wishes to join the meetings, and so it’d be nice to have a more reasonable time for her timezone. Second, my fast for the month of Ramadan breaks at 9:07 PM, and will only get later. I’d hate to eat during the meeting. Best Regards, Hameer Abbasi

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Re: [Numpy-discussion] Style guide for numpy code?
by Joe Harrington 15 May '19

15 May '19

I have a handout for my PHZ 3150 Introduction to Numerical Computing course that includes some rules: (a) All integer-valued floating-point numbers should have decimal points after them. For example, if you have a time of 10 sec, do not use y = np.e**10 # sec use y = np.e**10. # sec instead. For example, an item count is always an integer, but a distance is always a float. A decimal in the range (-1,1) must always have a zero before the decimal point, for readability: x = 0.23 # Right! x = .23 # WRONG The purpose of this one is simply to build the decimal-point habit. In Python it's less of an issue now, but sometimes code is translated, and integer division is still out there. For that reason, in other languages, it may be desirable to use a decimal point even for counts, unless integer division is wanted. Make a comment whenever you intend integer division and the language uses the same symbol (/) for both kinds of division. (b) Use spaces around binary operations and relations (=<>+-*/). Put a space after “,”. Do not put space around “=” in keyword arguments, or around “ ** ”. (c) Do not put plt.show() in your homework file! You may put it in a comment if you like, but it is not necessary. Just save the plot. If you say plt.ion() plots will automatically show while you are working. (d) Use: import matplotlib.pyplot as plt NOT: import matplotlib.pylab as plt (e) Keep lines to 80 characters, max, except in rare cases that are well justified, such as very long strings. If you make comments on the same line as code, keep them short or break them over more than a line: code = code2 # set code equal to code2 # Longer comment requiring much more space because # I'm explaining something complicated. code = code2 code = code2 # Another way to do a very long comment, # like this one, which runs over more than # one line. (f) Keep blocks of similar lines internally lined up on decimals, comments, and = signs. This makes them easier to read and verify. There will be some cases when this is impractical. Use your judgment (you're not a computer, you control the computer!): x = 1. # this is a comment y = 378.2345 # here's another fred = chuck # note how the decimals, = signs, and # comments line up nicely... alacazamshmazooboloid = 2721 # but not always! (g) Put the units and sources of all values in comments: t_planet = 523. # K, Smith and Jones (2016, ApJ 234, 22) (h) I don't mean to start a religious war, but I emphasize the alignment of similar adjacent code lines to make differences pop out and reduce the likelihood of bugs. For example, it is much easier to verify the correctness of: a = 3 * x + 3 * 8. * short - 5. * np.exp(np.pi * omega * t) a_alt = 3 * x + 3 * 8. * anotshortvar - 5. * np.exp(np.pi * omega * t) than: a = 3 * x + 3 * 8. * short - 5. * np.exp(np.pi * omega * t) a_altvarname = 3 * x + 3*9*anotshortvar - 5. * np.exp(np.pi * omega * i) (i) Assign values to meaningful variables, and use them in formulae and functions: ny = 512 nx = 512 image = np.zeros((ny, nx)) expr1 = ny * 3 expr2 = nx * 4 Otherwise, later on when you upgrade to 2560x1440 arrays, you won't know which of the 512s are in the x direction and which are in the y direction. Or, the student you (now a senior researcher) assign to code the upgrade won't! Also, it reduces bugs arising from the order of arguments to functions if the args have meaningful names. This is not to say that you should assign all numbers to functions. This is fine: circ = 2 * np.pi * r (j) All functions assigned for grading must have full docstrings in numpy's format, as well as internal comments. Utility functions not requested in the assignment and that the user will never see can have reduced docstrings if the functions are simple and obvious, but at least give the one-line summary. (k) If you modify an existing function, you must either make a Git entry or, if it is not under revision control, include a Revision History section in your docstring and record your name, the date, the version number, your email, and the nature of the change you made. (l) Choose variable names that are meaningful and consistent in style. Document your style either at the head of a module or in a separate text file for the project. For example, if you use CamelCaps with initial capital, say that. If you reserve initial capitals for classes, say that. If you use underscores for variable subscripts and camelCaps for the base variables, say that. If you accept some other style and build on that, say that. There are too many good reasons to have such styles for only one to be the community standard. If certain kinds of values should get the same variable or base variable, such as fundamental constants or things like amplitudes, say that. (j) It's best if variables that will appear in formulae are short, so more terms can fit in one 80 character line. Overall, having and following a style makes code easier to read. And, as an added bonus, if you take care to be consistent, you will write slower, view your code more times, and catch more bugs as you write them. Thus, for codes of any significant size, writing pedantically commented and aligned code is almost always faster than blast coding, if you include debugging time. Did you catch both bugs in item h? --jh-- On 5/9/19 11:25 AM, Chris Barker - NOAA Federal <chris.barker(a)noaa.gov> wrote: > Do any of you know of a style guide for computational / numpy code? > > I don't mean code that will go into numpy itself, but rather, users > code that uses numpy (and scipy, and...) > > I know about (am a proponent of) PEP8, but it doesn’t address the > unique needs of scientific programming. > > This is mostly about variable names. In scientific code, we often want: > > - variable names that match the math notation- so single character > names, maybe upper or lower case to mean different things ( in ocean > wave mechanics, often “h” is the water depth, and “H” is the wave height) > > -to distinguish between scalar, vector, and matrix values — often > UpperCase means an array or matrix, for instance. > > But despite (or because of) these unique needs, a style guide would be > really helpful. > > Anyone have one? Or even any notes on what you do yourself? > > Thanks, > -CHB > > > > >> -- >> >> Christopher Barker, Ph.D. >> Oceanographer >> >> Emergency Response Division >> NOAA/NOS/OR&R (206) 526-6959 voice >> 7600 Sand Point Way NE (206) 526-6329 fax >> Seattle, WA 98115 (206) 526-6317 main reception >> >> Chris.Barker(a)noaa.gov <mailto:Chris.Barker@noaa.gov>

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NumPy Community Meeting -- May 15/ 2019
by Tyler Reddy 14 May '19

14 May '19

Hi, There will be a community meeting at 12 pm Pacific Time on May 15/ 2019. Anyone is free to join and edit the work in progress meeting notes: https://hackmd.io/M-ef_Fu5QOOitACnyoO0kQ?view Best wishes, Tyler

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Release vs development testing.
by Charles R Harris 13 May '19

13 May '19

Hi All, NumPy currently distinguishes between release and development versions when running tests. Is there a good reason to continue this practice? I ask, because with the last pytest release it would be convenient to always include `pytest.ini ` so that we can register markers. The presence of `pytest.ini` is how we distinguish betweendevelopment from release for testing purposes. Chuck

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casting from datetime64
by Alex Samuel 13 May '19

13 May '19

Hi, When registering a custom cast function from datetime64 to another dtype, how can I get the units? I am calling PyArray_RegisterCastFunc from NPY_DATETIME. Ideally, I'd like to register a separate cast function for each datetime64 units (or none at all... I don't want all units to be castable). Next best thing would be to obtain the units in the cast function and dispatch accordingly. Is this possible? I glanced through the code, and it looks like there's a lot of hard-coded logic around datetime64, but I didn't go through it carefully. Thought I'd ask before drilling further down. Thanks in advance, Alex

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Adding to the non-dispatched implementation of NumPy methods
by Stephan Hoyer 13 May '19

13 May '19

Hi everyone, We have a proposed a revision to NEP-18 (__array_function__). The proposal is for an adding an alias to the non-dispatched version of NumPy array functions in the __numpy_implementaiton__ function attribute: https://github.com/numpy/numpy/pull/13305 I believe this attribute improves the protocol in three ways: 1. It provides a hook that __array_function__ methods can use to call implementation intended for NumPy arrays. This allows for "partial implementations" of NumPy's API, which turns out to useful even for some array libraries that reimplement nearly everything (namely, for CuPy and JAX). 2. It allows for fast access to the non-dispatching version of NumPy functions, e.g., np.concatenate.__numpy_implementation__(list_of_all_numpy_arrays). 3. Internally, the implementation of numpy.ndarray.__array_function__ now looks identical to how we encourage outside developers to write their own __array_function__ methods. The dispatching logic no longer includes a special case for NumPy arrays. Feedback would be greatly welcomed! Best, Stephan

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folds and scans
by Alan Isaac 12 May '19

12 May '19

What is the recommended (i.e., fast) way to do folds and scans across one axis of a NumPy array? (The equivalent of Mma's Fold and FoldList.) Assume an arbitrary Python function that produces one array from two arrays, where these three arrays share the same dimensions. (So the use of Python's `reduce` is certainly conceivable for the fold.) Thank you, Alan Isaac

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numpy finding local tests on import?!?!
by Chris Barker 10 May '19

10 May '19

TL;DR: This issue appears to have been fixed in numpy 1.15 (at least, I didn't test 1.14) However, I also had some issues in my environment that I also fixed, so it may be that numpy's behavior hasn't changed -- I don't have the energy to test now. And it doesn't hurt to have this in the archives in case someone else runs into the problem. Read on if you care about weird behaviour with the testing package in numpy 1.13.... Numpy appears to be both running tests on import (or at lest the the runner), and finding local tests that are not numpy's I found this issue (closed without a resolution): https://github.com/numpy/numpy/issues/11457 which is related -- but it's about the import time of numpy.testing, and not about errors/issues from that import. But maybe the import process ahs been changed in newer numpys What I did, and what I got: I am trying t debug what looks like a numpy-related issue in a project. So one thing I did was try to import numpy and check __version__: python -c "import numpy; print(numpy.__version__)" very weird barf: <snip> File "/Users/chris.barker/miniconda2/envs/gridded/lib/python2.7/unittest/runner.py", line 4, in <module> import time File "time.py", line 7, in <module> import netCDF4 as nc4 File "/Users/chris.barker/miniconda2/envs/gridded/lib/python2.7/site-packages/netCDF4/__init__.py", line 3, in <module> from ._netCDF4 import * File "include/netCDF4.pxi", line 728, in init netCDF4._netCDF4 (netCDF4/_netCDF4.c:83784) AttributeError: 'module' object has no attribute 'ndarray I get the same thing if I fire up the interpreter and then import numpy as the error seemed to come from: unittest/runner.py I had a hunch. I was, in fact, running with my current working directory in the package dir of my project, and there is a test package in that dir I cd out of that, and presto! numy imports fine: $ python -c "import numpy; print(numpy.__version__)" 1.13.1 OK, that's a kinda old numpy -- but it's the minimum required by my project. (though I can probably update that -- I"ll do that soon) So it appears that the test runner is looking in the current working dir (or, I suppose sys.PATH) for packages called tests -- this seems like a broken system, unless you are runing the tests explicitly from teh command line, it shouldn't look in the cwd, and it probably shouldn't ever look in all of sys.path. BUt my bigger confusion here is -- why the heck is the test runner being run at ALL on a simple import ?!?!? If this has been fixed / changed in newer numpy's the OK -- I'll update my dependencies. -CHB - Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception Chris.Barker(a)noaa.gov

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My Introduction and Getting Started with Numpy.
by Joyce Tirnyuy 10 May '19

10 May '19

Hi All, I am Ngoran Clare-Joyce, an Electrical Engineer from Cameroon. I use Python and Javascript for Software Development. Over the past year, I have gained insight into Machine Learning and Data Science Algorithms. I have used Numpy, Scipy, Pandas, Pytorch, Scikit-Learn libraries. I have realized that to take my career to the next level, I need to contribute to open source as a way to gain skills, experience and proper understanding of how these libraries work. Please, I will appreciate help on how to get started, set up my development environment, some important documentation, and beginners issues so I can start contributing to Numpy. Thanks, Ngoran Clare-Joyce.

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ANN: SciPy 1.3.0rc2 -- please test
by Tyler Reddy 09 May '19

09 May '19

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi all, On behalf of the SciPy development team I'm pleased to announce the release candidate SciPy 1.3.0rc2. Please help us test this pre-release. The primary motivation for the second release candidate to is to update wheels to use a more recent OpenBLAS with fixes for SkylakeX AVX kernel problems. Sources and binary wheels can be found at: https://pypi.org/project/scipy/ and at: https://github.com/scipy/scipy/releases/tag/v1.3.0rc2 One of a few ways to install the release candidate with pip: pip install scipy==1.3.0rc2 ========================== SciPy 1.3.0 Release Notes ========================== Note: Scipy 1.3.0 is not released yet! SciPy 1.3.0 is the culmination of 5 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been some API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code with ``python -Wd`` and check for ``DeprecationWarning`` s). Our development attention will now shift to bug-fix releases on the 1.3.x branch, and on adding new features on the master branch. This release requires Python 3.5+ and NumPy 1.13.3 or greater. For running on PyPy, PyPy3 6.0+ and NumPy 1.15.0 are required. Highlights of this release - -------------------------- - - Three new ``stats`` functions, a rewrite of ``pearsonr``, and an exact computation of the Kolmogorov-Smirnov two-sample test - - A new Cython API for bounded scalar-function root-finders in `scipy.optimize` - - Substantial ``CSR`` and ``CSC`` sparse matrix indexing performance improvements - - Added support for interpolation of rotations with continuous angular rate and acceleration in ``RotationSpline`` New features ============ `scipy.interpolate` improvements - -------------------------------- A new class ``CubicHermiteSpline`` is introduced. It is a piecewise-cubic interpolator which matches observed values and first derivatives. Existing cubic interpolators ``CubicSpline``, ``PchipInterpolator`` and ``Akima1DInterpolator`` were made subclasses of ``CubicHermiteSpline``. `scipy.io` improvements - ----------------------- For the Attribute-Relation File Format (ARFF) `scipy.io.arff.loadarff` now supports relational attributes. `scipy.io.mmread` can now parse Matrix Market format files with empty lines. `scipy.linalg` improvements - --------------------------- Added wrappers for ``?syconv`` routines, which convert a symmetric matrix given by a triangular matrix factorization into two matrices and vice versa. `scipy.linalg.clarkson_woodruff_transform` now uses an algorithm that leverages sparsity. This may provide a 60-90 percent speedup for dense input matrices. Truly sparse input matrices should also benefit from the improved sketch algorithm, which now correctly runs in ``O(nnz(A))`` time. Added new functions to calculate symmetric Fiedler matrices and Fiedler companion matrices, named `scipy.linalg.fiedler` and `scipy.linalg.fiedler_companion`, respectively. These may be used for root finding. `scipy.ndimage` improvements - ---------------------------- Gaussian filter performances may improve by an order of magnitude in some cases, thanks to removal of a dependence on ``np.polynomial``. This may impact `scipy.ndimage.gaussian_filter` for example. `scipy.optimize` improvements - ----------------------------- The `scipy.optimize.brute` minimizer obtained a new keyword ``workers``, which can be used to parallelize computation. A Cython API for bounded scalar-function root-finders in `scipy.optimize` is available in a new module `scipy.optimize.cython_optimize` via ``cimport``. This API may be used with ``nogil`` and ``prange`` to loop over an array of function arguments to solve for an array of roots more quickly than with pure Python. ``'interior-point'`` is now the default method for ``linprog``, and ``'interior-point'`` now uses SuiteSparse for sparse problems when the required scikits (scikit-umfpack and scikit-sparse) are available. On benchmark problems (gh-10026), execution time reductions by factors of 2-3 were typical. Also, a new ``method='revised simplex'`` has been added. It is not as fast or robust as ``method='interior-point'``, but it is a faster, more robust, and equally accurate substitute for the legacy ``method='simplex'``. ``differential_evolution`` can now use a ``Bounds`` class to specify the bounds for the optimizing argument of a function. `scipy.optimize.dual_annealing` performance improvements related to vectorisation of some internal code. `scipy.signal` improvements - --------------------------- Two additional methods of discretization are now supported by `scipy.signal.cont2discrete`: ``impulse`` and ``foh``. `scipy.signal.firls` now uses faster solvers `scipy.signal.detrend` now has a lower physical memory footprint in some cases, which may be leveraged using the new ``overwrite_data`` keyword argument `scipy.signal.firwin` ``pass_zero`` argument now accepts new string arguments that allow specification of the desired filter type: ``'bandpass'``, ``'lowpass'``, ``'highpass'``, and ``'bandstop'`` `scipy.signal.sosfilt` may have improved performance due to lower retention of the global interpreter lock (GIL) in algorithm `scipy.sparse` improvements - --------------------------- A new keyword was added to ``csgraph.dijsktra`` that allows users to query the shortest path to ANY of the passed in indices, as opposed to the shortest path to EVERY passed index. `scipy.sparse.linalg.lsmr` performance has been improved by roughly 10 percent on large problems Improved performance and reduced physical memory footprint of the algorithm used by `scipy.sparse.linalg.lobpcg` ``CSR`` and ``CSC`` sparse matrix fancy indexing performance has been improved substantially `scipy.spatial` improvements - ---------------------------- `scipy.spatial.ConvexHull` now has a ``good`` attribute that can be used alongsize the ``QGn`` Qhull options to determine which external facets of a convex hull are visible from an external query point. `scipy.spatial.cKDTree.query_ball_point` has been modernized to use some newer Cython features, including GIL handling and exception translation. An issue with ``return_sorted=True`` and scalar queries was fixed, and a new mode named ``return_length`` was added. ``return_length`` only computes the length of the returned indices list instead of allocating the array every time. `scipy.spatial.transform.RotationSpline` has been added to enable interpolation of rotations with continuous angular rates and acceleration `scipy.stats` improvements - -------------------------- Added a new function to compute the Epps-Singleton test statistic, `scipy.stats.epps_singleton_2samp`, which can be applied to continuous and discrete distributions. New functions `scipy.stats.median_absolute_deviation` and `scipy.stats.gstd` (geometric standard deviation) were added. The `scipy.stats.combine_pvalues` method now supports ``pearson``, ``tippett`` and ``mudholkar_george`` pvalue combination methods. The `scipy.stats.ortho_group` and `scipy.stats.special_ortho_group` ``rvs(dim)`` functions' algorithms were updated from a ``O(dim^4)`` implementation to a ``O(dim^3)`` which gives large speed improvements for ``dim>100``. A rewrite of `scipy.stats.pearsonr` to use a more robust algorithm, provide meaningful exceptions and warnings on potentially pathological input, and fix at least five separate reported issues in the original implementation. Improved the precision of ``hypergeom.logcdf`` and ``hypergeom.logsf``. Added exact computation for Kolmogorov-Smirnov (KS) two-sample test, replacing the previously approximate computation for the two-sided test `stats.ks_2samp`. Also added a one-sided, two-sample KS test, and a keyword ``alternative`` to `stats.ks_2samp`. Backwards incompatible changes ============================== `scipy.interpolate` changes - --------------------------- Functions from ``scipy.interpolate`` (``spleval``, ``spline``, ``splmake``, and ``spltopp``) and functions from ``scipy.misc`` (``bytescale``, ``fromimage``, ``imfilter``, ``imread``, ``imresize``, ``imrotate``, ``imsave``, ``imshow``, ``toimage``) have been removed. The former set has been deprecated since v0.19.0 and the latter has been deprecated since v1.0.0. Similarly, aliases from ``scipy.misc`` (``comb``, ``factorial``, ``factorial2``, ``factorialk``, ``logsumexp``, ``pade``, ``info``, ``source``, ``who``) which have been deprecated since v1.0.0 are removed. `SciPy documentation for v1.1.0 <https://docs.scipy.org/doc/scipy-1.1.0/reference/misc.html>`__ can be used to track the new import locations for the relocated functions. `scipy.linalg` changes - ---------------------- For ``pinv``, ``pinv2``, and ``pinvh``, the default cutoff values are changed for consistency (see the docs for the actual values). `scipy.stats` changes - --------------------- Previously, ``ks_2samp(data1, data2)`` would run a two-sided test and return the approximated p-value. The new signature, ``ks_2samp(data1, data2, alternative="two-sided", method="auto")``, still runs the two-sided test by default but returns the exact p-value for small samples and the approximated value for large samples. ``method="asymp"`` would be equivalent to the old version but ``auto`` is the better choice. Other changes ============= Our tutorial has been expanded with a new section on global optimizers There has been a rework of the ``stats.distributions`` tutorials. `scipy.optimize` now correctly sets the convergence flag of the result to ``CONVERR``, a convergence error, for bounded scalar-function root-finders if the maximum iterations has been exceeded, ``disp`` is false, and ``full_output`` is true. `scipy.optimize.curve_fit` no longer fails if ``xdata`` and ``ydata`` dtypes differ; they are both now automatically cast to ``float64``. `scipy.ndimage` functions including ``binary_erosion``, ``binary_closing``, and ``binary_dilation`` now require an integer value for the number of iterations, which alleviates a number of reported issues. Fixed normal approximation in case ``zero_method == "pratt"`` in `scipy.stats.wilcoxon`. Fixes for incorrect probabilities, broadcasting issues and thread-safety related to stats distributions setting member variables inside ``_argcheck()``. `scipy.optimize.newton` now correctly raises a ``RuntimeError``, when default arguments are used, in the case that a derivative of value zero is obtained, which is a special case of failing to converge. A draft toolchain roadmap is now available, laying out a compatibility plan including Python versions, C standards, and NumPy versions. Authors ======= * ananyashreyjain + * ApamNapat + * Scott Calabrese Barton + * Christoph Baumgarten * Peter Bell + * Jacob Blomgren + * Doctor Bob + * Mana Borwornpadungkitti + * Matthew Brett * Evgeni Burovski * CJ Carey * Vega Theil Carstensen + * Robert Cimrman * Forrest Collman + * Pietro Cottone + * David + * Idan David + * Christoph Deil * Dieter Werthmüller * Conner DiPaolo + * Dowon * Michael Dunphy + * Peter Andreas Entschev + * Gökçen Eraslan + * Johann Faouzi + * Yu Feng * Piotr Figiel + * Matthew H Flamm * Franz Forstmayr + * Christoph Gohlke * Richard Janis Goldschmidt + * Ralf Gommers * Lars Grueter * Sylvain Gubian * Matt Haberland * Yaroslav Halchenko * Charles Harris * Lindsey Hiltner * JakobStruye + * He Jia + * Jwink3101 + * Greg Kiar + * Julius Bier Kirkegaard * John Kirkham + * Thomas Kluyver * Vladimir Korolev + * Joseph Kuo + * Michael Lamparski + * Eric Larson * Denis Laxalde * Katrin Leinweber * Jesse Livezey * ludcila + * Dhruv Madeka + * Magnus + * Nikolay Mayorov * Mark Mikofski * Jarrod Millman * Markus Mohrhard + * Eric Moore * Andrew Nelson * Aki Nishimura + * OGordon100 + * Petar Mlinarić + * Stefan Peterson * Matti Picus + * Ilhan Polat * Aaron Pries + * Matteo Ravasi + * Tyler Reddy * Ashton Reimer + * Joscha Reimer * rfezzani + * Riadh + * Lucas Roberts * Heshy Roskes + * Mirko Scholz + * Taylor D. Scott + * Srikrishna Sekhar + * Kevin Sheppard + * Sourav Singh * skjerns + * Kai Striega * SyedSaifAliAlvi + * Gopi Manohar T + * Albert Thomas + * Timon + * Paul van Mulbregt * Jacob Vanderplas * Daniel Vargas + * Pauli Virtanen * VNMabus + * Stefan van der Walt * Warren Weckesser * Josh Wilson * Nate Yoder + * Roman Yurchak A total of 97 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 1.3.0 - ----------------------- * `#1320 <https://github.com/scipy/scipy/issues/1320>`__: scipy.stats.distribution: problem with self.a, self.b if they... * `#2002 <https://github.com/scipy/scipy/issues/2002>`__: members set in scipy.stats.distributions.##._argcheck (Trac #1477) * `#2823 <https://github.com/scipy/scipy/issues/2823>`__: distribution methods add tmp * `#3220 <https://github.com/scipy/scipy/issues/3220>`__: Scipy.opimize.fmin_powell direc argument syntax unclear * `#3728 <https://github.com/scipy/scipy/issues/3728>`__: scipy.stats.pearsonr: possible bug with zero variance input * `#6805 <https://github.com/scipy/scipy/issues/6805>`__: error-in-scipy-wilcoxon-signed-rank-test-for-equal-series * `#6873 <https://github.com/scipy/scipy/issues/6873>`__: 'stats.boxcox' return all same values * `#7117 <https://github.com/scipy/scipy/issues/7117>`__: Warn users when using float32 input data to curve_fit and friends * `#7632 <https://github.com/scipy/scipy/issues/7632>`__: it's not possible to tell the \`optimize.least_squares\` solver... * `#7730 <https://github.com/scipy/scipy/issues/7730>`__: stats.pearsonr: Potential division by zero for dataset of length... * `#7933 <https://github.com/scipy/scipy/issues/7933>`__: stats.truncnorm fails when providing values outside truncation... * `#8033 <https://github.com/scipy/scipy/issues/8033>`__: Add standard filter types to firwin to set pass_zero intuitively... * `#8600 <https://github.com/scipy/scipy/issues/8600>`__: lfilter.c.src zfill has erroneous header * `#8692 <https://github.com/scipy/scipy/issues/8692>`__: Non-negative values of \`stats.hypergeom.logcdf\` * `#8734 <https://github.com/scipy/scipy/issues/8734>`__: Enable pip build isolation * `#8861 <https://github.com/scipy/scipy/issues/8861>`__: scipy.linalg.pinv gives wrong result while scipy.linalg.pinv2... * `#8915 <https://github.com/scipy/scipy/issues/8915>`__: need to fix macOS build against older numpy versions * `#8980 <https://github.com/scipy/scipy/issues/8980>`__: scipy.stats.pearsonr overflows with high values of x and y * `#9226 <https://github.com/scipy/scipy/issues/9226>`__: BUG: signal: SystemError: <built-in function _linear_filter>... * `#9254 <https://github.com/scipy/scipy/issues/9254>`__: BUG: root finders brentq, etc, flag says "converged" even if... * `#9308 <https://github.com/scipy/scipy/issues/9308>`__: Test failure - test_initial_constraints_as_canonical * `#9353 <https://github.com/scipy/scipy/issues/9353>`__: scipy.stats.pearsonr returns r=1 if r_num/r_den = inf * `#9359 <https://github.com/scipy/scipy/issues/9359>`__: Planck distribution is a geometric distribution * `#9381 <https://github.com/scipy/scipy/issues/9381>`__: linregress should warn user in 2x2 array case * `#9406 <https://github.com/scipy/scipy/issues/9406>`__: BUG: stats: In pearsonr, when r is nan, the p-value must also... * `#9437 <https://github.com/scipy/scipy/issues/9437>`__: Cannot create sparse matrix from size_t indexes * `#9518 <https://github.com/scipy/scipy/issues/9518>`__: Relational attributes in loadarff * `#9551 <https://github.com/scipy/scipy/issues/9551>`__: BUG: scipy.optimize.newton says the root of x^2+1 is zero. * `#9564 <https://github.com/scipy/scipy/issues/9564>`__: rv_sample accepts invalid input in scipy.stats * `#9565 <https://github.com/scipy/scipy/issues/9565>`__: improper handling of multidimensional input in stats.rv_sample * `#9581 <https://github.com/scipy/scipy/issues/9581>`__: Least-squares minimization fails silently when x and y data are... * `#9587 <https://github.com/scipy/scipy/issues/9587>`__: Outdated value for scipy.constants.au * `#9611 <https://github.com/scipy/scipy/issues/9611>`__: Overflow error with new way of p-value calculation in kendall... * `#9645 <https://github.com/scipy/scipy/issues/9645>`__: \`scipy.stats.mode\` crashes with variable length arrays (\`dtype=object\`) * `#9734 <https://github.com/scipy/scipy/issues/9734>`__: PendingDeprecationWarning for np.matrix with pytest * `#9786 <https://github.com/scipy/scipy/issues/9786>`__: stats.ks_2samp() misleading for small data sets. * `#9790 <https://github.com/scipy/scipy/issues/9790>`__: Excessive memory usage on detrend * `#9801 <https://github.com/scipy/scipy/issues/9801>`__: dual_annealing does not set the success attribute in OptimizeResult * `#9833 <https://github.com/scipy/scipy/issues/9833>`__: IntegrationWarning from mielke.stats() during build of html doc. * `#9835 <https://github.com/scipy/scipy/issues/9835>`__: scipy.signal.firls seems to be inefficient versus MATLAB firls * `#9864 <https://github.com/scipy/scipy/issues/9864>`__: Curve_fit does not check for empty input data if called with... * `#9869 <https://github.com/scipy/scipy/issues/9869>`__: scipy.ndimage.label: Minor documentation issue * `#9882 <https://github.com/scipy/scipy/issues/9882>`__: format at the wrong paranthesis in scipy.spatial.transform * `#9889 <https://github.com/scipy/scipy/issues/9889>`__: scipy.signal.find_peaks minor documentation issue * `#9890 <https://github.com/scipy/scipy/issues/9890>`__: Minkowski p-norm Issues in cKDTree For Values Other Than 2 Or... * `#9896 <https://github.com/scipy/scipy/issues/9896>`__: scipy.stats._argcheck sets (not just checks) values * `#9905 <https://github.com/scipy/scipy/issues/9905>`__: Memory error in ndimage.binary_erosion * `#9909 <https://github.com/scipy/scipy/issues/9909>`__: binary_dilation/erosion/closing crashes when iterations is float * `#9919 <https://github.com/scipy/scipy/issues/9919>`__: BUG: \`coo_matrix\` does not validate the \`shape\` argument. * `#9982 <https://github.com/scipy/scipy/issues/9982>`__: lsq_linear hangs/infinite loop with 'trf' method * `#10003 <https://github.com/scipy/scipy/issues/10003>`__: exponnorm.pdf returns NAN for small K * `#10011 <https://github.com/scipy/scipy/issues/10011>`__: Incorrect check for invalid rotation plane in scipy.ndimage.rotate * `#10024 <https://github.com/scipy/scipy/issues/10024>`__: Fails to build from git * `#10048 <https://github.com/scipy/scipy/issues/10048>`__: DOC: scipy.optimize.root_scalar * `#10068 <https://github.com/scipy/scipy/issues/10068>`__: DOC: scipy.interpolate.splev * `#10074 <https://github.com/scipy/scipy/issues/10074>`__: BUG: \`expm\` calculates the wrong coefficients in the backward... Pull requests for 1.3.0 - ----------------------- * `#7827 <https://github.com/scipy/scipy/pull/7827>`__: ENH: sparse: overhaul of sparse matrix indexing * `#8431 <https://github.com/scipy/scipy/pull/8431>`__: ENH: Cython optimize zeros api * `#8743 <https://github.com/scipy/scipy/pull/8743>`__: DOC: Updated linalg.pinv, .pinv2, .pinvh docstrings * `#8744 <https://github.com/scipy/scipy/pull/8744>`__: DOC: added examples to remez docstring * `#9227 <https://github.com/scipy/scipy/pull/9227>`__: DOC: update description of "direc" parameter of "fmin_powell" * `#9263 <https://github.com/scipy/scipy/pull/9263>`__: ENH: optimize: added "revised simplex" for scipy.optimize.linprog * `#9325 <https://github.com/scipy/scipy/pull/9325>`__: DEP: Remove deprecated functions for 1.3.0 * `#9330 <https://github.com/scipy/scipy/pull/9330>`__: Add note on push and pull affine transformations * `#9423 <https://github.com/scipy/scipy/pull/9423>`__: DOC: Clearly state how 2x2 input arrays are handled in stats.linregress * `#9428 <https://github.com/scipy/scipy/pull/9428>`__: ENH: parallelised brute * `#9438 <https://github.com/scipy/scipy/pull/9438>`__: BUG: Initialize coo matrix with size_t indexes * `#9455 <https://github.com/scipy/scipy/pull/9455>`__: MAINT: Speed up get_(lapack,blas)_func * `#9465 <https://github.com/scipy/scipy/pull/9465>`__: MAINT: Clean up optimize.zeros C solvers interfaces/code. * `#9477 <https://github.com/scipy/scipy/pull/9477>`__: DOC: linalg: fix lstsq docstring on residues shape * `#9478 <https://github.com/scipy/scipy/pull/9478>`__: DOC: Add docstring examples for rosen functions * `#9479 <https://github.com/scipy/scipy/pull/9479>`__: DOC: Add docstring example for ai_zeros and bi_zeros * `#9480 <https://github.com/scipy/scipy/pull/9480>`__: MAINT: linalg: lstsq clean up * `#9489 <https://github.com/scipy/scipy/pull/9489>`__: DOC: roadmap update for changes over the last year. * `#9492 <https://github.com/scipy/scipy/pull/9492>`__: MAINT: stats: Improve implementation of chi2 ppf method. * `#9497 <https://github.com/scipy/scipy/pull/9497>`__: DOC: Improve docstrings sparse.linalg.isolve * `#9499 <https://github.com/scipy/scipy/pull/9499>`__: DOC: Replace "Scipy" with "SciPy" in the .rst doc files for consistency. * `#9500 <https://github.com/scipy/scipy/pull/9500>`__: DOC: Document the toolchain and its roadmap. * `#9505 <https://github.com/scipy/scipy/pull/9505>`__: DOC: specify which definition of skewness is used * `#9511 <https://github.com/scipy/scipy/pull/9511>`__: DEP: interpolate: remove deprecated interpolate_wrapper * `#9517 <https://github.com/scipy/scipy/pull/9517>`__: BUG: improve error handling in stats.iqr * `#9522 <https://github.com/scipy/scipy/pull/9522>`__: ENH: Add Fiedler and fiedler companion to special matrices * `#9526 <https://github.com/scipy/scipy/pull/9526>`__: TST: relax precision requirements in signal.correlate tests * `#9529 <https://github.com/scipy/scipy/pull/9529>`__: DOC: fix missing random seed in optimize.newton example * `#9533 <https://github.com/scipy/scipy/pull/9533>`__: MAINT: Use list comprehension when possible * `#9537 <https://github.com/scipy/scipy/pull/9537>`__: DOC: add a "big picture" roadmap * `#9538 <https://github.com/scipy/scipy/pull/9538>`__: DOC: Replace "Numpy" with "NumPy" in .py, .rst and .txt doc files... * `#9539 <https://github.com/scipy/scipy/pull/9539>`__: ENH: add two-sample test (Epps-Singleton) to scipy.stats * `#9559 <https://github.com/scipy/scipy/pull/9559>`__: DOC: add section on global optimizers to tutorial * `#9561 <https://github.com/scipy/scipy/pull/9561>`__: ENH: remove noprefix.h, change code appropriately * `#9562 <https://github.com/scipy/scipy/pull/9562>`__: MAINT: stats: Rewrite pearsonr. * `#9563 <https://github.com/scipy/scipy/pull/9563>`__: BUG: Minor bug fix Callback in linprog(method='simplex') * `#9568 <https://github.com/scipy/scipy/pull/9568>`__: MAINT: raise runtime error for newton with zeroder if disp true,... * `#9570 <https://github.com/scipy/scipy/pull/9570>`__: Correct docstring in show_options in optimize. Fixes #9407 * `#9573 <https://github.com/scipy/scipy/pull/9573>`__: BUG fixes range of pk variable pre-check * `#9577 <https://github.com/scipy/scipy/pull/9577>`__: TST: fix minor issue in a signal.stft test. * `#9580 <https://github.com/scipy/scipy/pull/9580>`__: Included blank line before list - Fixes #8658 * `#9582 <https://github.com/scipy/scipy/pull/9582>`__: MAINT: drop Python 2.7 and 3.4 * `#9588 <https://github.com/scipy/scipy/pull/9588>`__: MAINT: update \`constants.astronomical_unit\` to new 2012 value. * `#9592 <https://github.com/scipy/scipy/pull/9592>`__: TST: Add 32-bit testing to CI * `#9593 <https://github.com/scipy/scipy/pull/9593>`__: DOC: Replace cumulative density with cumulative distribution * `#9596 <https://github.com/scipy/scipy/pull/9596>`__: TST: remove VC 9.0 from Azure CI * `#9599 <https://github.com/scipy/scipy/pull/9599>`__: Hyperlink DOI to preferred resolver * `#9601 <https://github.com/scipy/scipy/pull/9601>`__: DEV: try to limit GC memory use on PyPy * `#9603 <https://github.com/scipy/scipy/pull/9603>`__: MAINT: improve logcdf and logsf of hypergeometric distribution * `#9605 <https://github.com/scipy/scipy/pull/9605>`__: Reference to pylops in LinearOperator notes and ARPACK example * `#9617 <https://github.com/scipy/scipy/pull/9617>`__: TST: reduce max memory usage for sparse.linalg.lgmres test * `#9619 <https://github.com/scipy/scipy/pull/9619>`__: FIX: Sparse matrix addition/subtraction eliminates explicit zeros * `#9621 <https://github.com/scipy/scipy/pull/9621>`__: bugfix in rv_sample in scipy.stats * `#9622 <https://github.com/scipy/scipy/pull/9622>`__: MAINT: Raise error in directed_hausdorff distance * `#9623 <https://github.com/scipy/scipy/pull/9623>`__: DOC: Build docs with warnings as errors * `#9625 <https://github.com/scipy/scipy/pull/9625>`__: Return the number of calls to 'hessp' (not just 'hess') in trust... * `#9627 <https://github.com/scipy/scipy/pull/9627>`__: BUG: ignore empty lines in mmio * `#9637 <https://github.com/scipy/scipy/pull/9637>`__: Function to calculate the MAD of an array * `#9646 <https://github.com/scipy/scipy/pull/9646>`__: BUG: stats: mode for objects w/ndim > 1 * `#9648 <https://github.com/scipy/scipy/pull/9648>`__: Add \`stats.contingency\` to refguide-check * `#9650 <https://github.com/scipy/scipy/pull/9650>`__: ENH: many lobpcg() algorithm improvements * `#9652 <https://github.com/scipy/scipy/pull/9652>`__: Move misc.doccer to _lib.doccer * `#9660 <https://github.com/scipy/scipy/pull/9660>`__: ENH: add pearson, tippett, and mudholkar-george to combine_pvalues * `#9661 <https://github.com/scipy/scipy/pull/9661>`__: BUG: Fix ksone right-hand endpoint, documentation and tests. * `#9664 <https://github.com/scipy/scipy/pull/9664>`__: ENH: adding multi-target dijsktra performance enhancement * `#9670 <https://github.com/scipy/scipy/pull/9670>`__: MAINT: link planck and geometric distribution in scipy.stats * `#9676 <https://github.com/scipy/scipy/pull/9676>`__: ENH: optimize: change default linprog method to interior-point * `#9685 <https://github.com/scipy/scipy/pull/9685>`__: Added reference to ndimage.filters.median_filter * `#9705 <https://github.com/scipy/scipy/pull/9705>`__: Fix coefficients in expm helper function * `#9711 <https://github.com/scipy/scipy/pull/9711>`__: Release the GIL during sosfilt processing for simple types * `#9721 <https://github.com/scipy/scipy/pull/9721>`__: ENH: Convexhull visiblefacets * `#9723 <https://github.com/scipy/scipy/pull/9723>`__: BLD: Modify rv_generic._construct_doc to print out failing distribution... * `#9726 <https://github.com/scipy/scipy/pull/9726>`__: BUG: Fix small issues with \`signal.lfilter' * `#9729 <https://github.com/scipy/scipy/pull/9729>`__: BUG: Typecheck iterations for binary image operations * `#9730 <https://github.com/scipy/scipy/pull/9730>`__: ENH: reduce sizeof(NI_WatershedElement) by 20% * `#9731 <https://github.com/scipy/scipy/pull/9731>`__: ENH: remove suspicious sequence of type castings * `#9739 <https://github.com/scipy/scipy/pull/9739>`__: BUG: qr_updates fails if u is exactly in span Q * `#9749 <https://github.com/scipy/scipy/pull/9749>`__: BUG: MapWrapper.__exit__ should terminate * `#9753 <https://github.com/scipy/scipy/pull/9753>`__: ENH: Added exact computation for Kolmogorov-Smirnov two-sample... * `#9755 <https://github.com/scipy/scipy/pull/9755>`__: DOC: Added example for signal.impulse, copied from impulse2 * `#9756 <https://github.com/scipy/scipy/pull/9756>`__: DOC: Added docstring example for iirdesign * `#9757 <https://github.com/scipy/scipy/pull/9757>`__: DOC: Added examples for step functions * `#9759 <https://github.com/scipy/scipy/pull/9759>`__: ENH: Allow pass_zero to act like btype * `#9760 <https://github.com/scipy/scipy/pull/9760>`__: DOC: Added docstring for lp2bs * `#9761 <https://github.com/scipy/scipy/pull/9761>`__: DOC: Added docstring and example for lp2bp * `#9764 <https://github.com/scipy/scipy/pull/9764>`__: BUG: Catch internal warnings for matrix * `#9766 <https://github.com/scipy/scipy/pull/9766>`__: ENH: Speed up _gaussian_kernel1d by removing dependence on np.polynomial * `#9769 <https://github.com/scipy/scipy/pull/9769>`__: BUG: Fix Cubic Spline Read Only issues * `#9773 <https://github.com/scipy/scipy/pull/9773>`__: DOC: Several docstrings * `#9774 <https://github.com/scipy/scipy/pull/9774>`__: TST: bump Azure CI OpenBLAS version to match wheels * `#9775 <https://github.com/scipy/scipy/pull/9775>`__: DOC: Improve clarity of cov_x documentation for scipy.optimize.leastsq * `#9779 <https://github.com/scipy/scipy/pull/9779>`__: ENH: dual_annealing vectorise visit_fn * `#9788 <https://github.com/scipy/scipy/pull/9788>`__: TST, BUG: f2py-related issues with NumPy < 1.14.0 * `#9791 <https://github.com/scipy/scipy/pull/9791>`__: BUG: fix amax constraint not enforced in scalar_search_wolfe2 * `#9792 <https://github.com/scipy/scipy/pull/9792>`__: ENH: Allow inplace copying in place in "detrend" function * `#9795 <https://github.com/scipy/scipy/pull/9795>`__: DOC: Fix/update docstring for dstn and dst * `#9796 <https://github.com/scipy/scipy/pull/9796>`__: MAINT: Allow None tolerances in least_squares * `#9798 <https://github.com/scipy/scipy/pull/9798>`__: BUG: fixes abort trap 6 error in scipy issue 9785 in unit tests * `#9807 <https://github.com/scipy/scipy/pull/9807>`__: MAINT: improve doc and add alternative keyword to wilcoxon in... * `#9808 <https://github.com/scipy/scipy/pull/9808>`__: Fix PPoly integrate and test for CubicSpline * `#9810 <https://github.com/scipy/scipy/pull/9810>`__: ENH: Add the geometric standard deviation function * `#9811 <https://github.com/scipy/scipy/pull/9811>`__: MAINT: remove invalid derphi default None value in scalar_search_wolfe2 * `#9813 <https://github.com/scipy/scipy/pull/9813>`__: Adapt hamming distance in C to support weights * `#9817 <https://github.com/scipy/scipy/pull/9817>`__: DOC: Copy solver description to solver modules * `#9829 <https://github.com/scipy/scipy/pull/9829>`__: ENH: Add FOH and equivalent impulse response discretizations... * `#9831 <https://github.com/scipy/scipy/pull/9831>`__: ENH: Implement RotationSpline * `#9834 <https://github.com/scipy/scipy/pull/9834>`__: DOC: Change mielke distribution default parameters to ensure... * `#9838 <https://github.com/scipy/scipy/pull/9838>`__: ENH: Use faster solvers for firls * `#9854 <https://github.com/scipy/scipy/pull/9854>`__: ENH: loadarff now supports relational attributes. * `#9856 <https://github.com/scipy/scipy/pull/9856>`__: integrate.bvp - improve handling of nonlinear boundary conditions * `#9862 <https://github.com/scipy/scipy/pull/9862>`__: TST: reduce Appveyor CI load * `#9874 <https://github.com/scipy/scipy/pull/9874>`__: DOC: Update requirements in release notes * `#9883 <https://github.com/scipy/scipy/pull/9883>`__: BUG: fixed parenthesis in spatial.rotation * `#9884 <https://github.com/scipy/scipy/pull/9884>`__: ENH: Use Sparsity in Clarkson-Woodruff Sketch * `#9888 <https://github.com/scipy/scipy/pull/9888>`__: MAINT: Replace NumPy aliased functions * `#9892 <https://github.com/scipy/scipy/pull/9892>`__: BUG: Fix 9890 query_ball_point returns wrong result when p is... * `#9893 <https://github.com/scipy/scipy/pull/9893>`__: BUG: curve_fit doesn't check for empty input if called with bounds * `#9894 <https://github.com/scipy/scipy/pull/9894>`__: scipy.signal.find_peaks documentation error * `#9898 <https://github.com/scipy/scipy/pull/9898>`__: BUG: Set success attribute in OptimizeResult. See #9801 * `#9900 <https://github.com/scipy/scipy/pull/9900>`__: BUG: Restrict rv_generic._argcheck() and its overrides from setting... * `#9906 <https://github.com/scipy/scipy/pull/9906>`__: fixed a bug in kde logpdf * `#9911 <https://github.com/scipy/scipy/pull/9911>`__: DOC: replace example for "np.select" with the one from numpy... * `#9912 <https://github.com/scipy/scipy/pull/9912>`__: BF(DOC): point to numpy.select instead of plain (python) .select * `#9914 <https://github.com/scipy/scipy/pull/9914>`__: DOC: change ValueError message in _validate_pad of signaltools. * `#9915 <https://github.com/scipy/scipy/pull/9915>`__: cKDTree query_ball_point improvements * `#9918 <https://github.com/scipy/scipy/pull/9918>`__: Update ckdtree.pyx with boxsize argument in docstring * `#9920 <https://github.com/scipy/scipy/pull/9920>`__: BUG: sparse: Validate explicit shape if given with dense argument... * `#9924 <https://github.com/scipy/scipy/pull/9924>`__: BLD: add back pyproject.toml * `#9931 <https://github.com/scipy/scipy/pull/9931>`__: Fix empty constraint * `#9935 <https://github.com/scipy/scipy/pull/9935>`__: DOC: fix references for stats.f_oneway * `#9936 <https://github.com/scipy/scipy/pull/9936>`__: Revert gh-9619: "FIX: Sparse matrix addition/subtraction eliminates... * `#9937 <https://github.com/scipy/scipy/pull/9937>`__: MAINT: fix PEP8 issues and update to pycodestyle 2.5.0 * `#9939 <https://github.com/scipy/scipy/pull/9939>`__: DOC: correct \`structure\` description in \`ndimage.label\` docstring * `#9940 <https://github.com/scipy/scipy/pull/9940>`__: MAINT: remove extraneous distutils copies * `#9945 <https://github.com/scipy/scipy/pull/9945>`__: ENH: differential_evolution can use Bounds object * `#9949 <https://github.com/scipy/scipy/pull/9949>`__: Added 'std' to add doctstrings since it is a \`known_stats\`... * `#9953 <https://github.com/scipy/scipy/pull/9953>`__: DOC: Documentation cleanup for stats tutorials. * `#9962 <https://github.com/scipy/scipy/pull/9962>`__: __repr__ for Bounds * `#9971 <https://github.com/scipy/scipy/pull/9971>`__: ENH: Improve performance of lsmr * `#9987 <https://github.com/scipy/scipy/pull/9987>`__: CI: pin Sphinx version to 1.8.5 * `#9990 <https://github.com/scipy/scipy/pull/9990>`__: ENH: constraint violation * `#9991 <https://github.com/scipy/scipy/pull/9991>`__: BUG: Avoid inplace modification of input array in newton * `#9995 <https://github.com/scipy/scipy/pull/9995>`__: MAINT: sparse.csgraph: Add cdef to stop build warning. * `#9996 <https://github.com/scipy/scipy/pull/9996>`__: BUG: Make minimize_quadratic_1d work with infinite bounds correctly * `#10004 <https://github.com/scipy/scipy/pull/10004>`__: BUG: Fix unbound local error in linprog - simplex. * `#10007 <https://github.com/scipy/scipy/pull/10007>`__: BLD: fix Python 3.7 build with build isolation * `#10009 <https://github.com/scipy/scipy/pull/10009>`__: BUG: Make sure that _binary_erosion only accepts an integer number... * `#10016 <https://github.com/scipy/scipy/pull/10016>`__: Update link to airspeed-velocity * `#10017 <https://github.com/scipy/scipy/pull/10017>`__: DOC: Update \`interpolate.LSQSphereBivariateSpline\` to include... * `#10018 <https://github.com/scipy/scipy/pull/10018>`__: MAINT: special: Fix a few warnings that occur when compiling... * `#10019 <https://github.com/scipy/scipy/pull/10019>`__: TST: Azure summarizes test failures * `#10021 <https://github.com/scipy/scipy/pull/10021>`__: ENH: Introduce CubicHermiteSpline * `#10022 <https://github.com/scipy/scipy/pull/10022>`__: BENCH: Increase cython version in asv to fix benchmark builds * `#10023 <https://github.com/scipy/scipy/pull/10023>`__: BUG: Avoid exponnorm producing nan for small K values. * `#10025 <https://github.com/scipy/scipy/pull/10025>`__: BUG: optimize: tweaked linprog status 4 error message * `#10026 <https://github.com/scipy/scipy/pull/10026>`__: ENH: optimize: use SuiteSparse in linprog interior-point when... * `#10027 <https://github.com/scipy/scipy/pull/10027>`__: MAINT: cluster: clean up the use of malloc() in the function... * `#10028 <https://github.com/scipy/scipy/pull/10028>`__: Fix rotate invalid plane check * `#10040 <https://github.com/scipy/scipy/pull/10040>`__: MAINT: fix pratt method of wilcox test in scipy.stats * `#10041 <https://github.com/scipy/scipy/pull/10041>`__: MAINT: special: Fix a warning generated when building the AMOS... * `#10044 <https://github.com/scipy/scipy/pull/10044>`__: DOC: fix up spatial.transform.Rotation docstrings * `#10047 <https://github.com/scipy/scipy/pull/10047>`__: MAINT: interpolate: Fix a few build warnings. * `#10051 <https://github.com/scipy/scipy/pull/10051>`__: Add project_urls to setup * `#10052 <https://github.com/scipy/scipy/pull/10052>`__: don't set flag to "converged" if max iter exceeded * `#10054 <https://github.com/scipy/scipy/pull/10054>`__: MAINT: signal: Fix a few build warnings and modernize some C... * `#10056 <https://github.com/scipy/scipy/pull/10056>`__: BUG: Ensure factorial is not too large in kendaltau * `#10058 <https://github.com/scipy/scipy/pull/10058>`__: Small speedup in samping from ortho and special_ortho groups * `#10059 <https://github.com/scipy/scipy/pull/10059>`__: BUG: optimize: fix #10038 by increasing tol * `#10061 <https://github.com/scipy/scipy/pull/10061>`__: BLD: DOC: make building docs easier by parsing python version. * `#10064 <https://github.com/scipy/scipy/pull/10064>`__: ENH: Significant speedup for ortho and special ortho group * `#10065 <https://github.com/scipy/scipy/pull/10065>`__: DOC: Reword parameter descriptions in \`optimize.root_scalar\` * `#10066 <https://github.com/scipy/scipy/pull/10066>`__: BUG: signal: Fix error raised by savgol_coeffs when deriv > polyorder. * `#10067 <https://github.com/scipy/scipy/pull/10067>`__: MAINT: Fix the cutoff value inconsistency for pinv2 and pinvh * `#10072 <https://github.com/scipy/scipy/pull/10072>`__: BUG: stats: Fix boxcox_llf to avoid loss of precision. * `#10075 <https://github.com/scipy/scipy/pull/10075>`__: ENH: Add wrappers for ?syconv routines * `#10076 <https://github.com/scipy/scipy/pull/10076>`__: BUG: optimize: fix curve_fit for mixed float32/float64 input * `#10077 <https://github.com/scipy/scipy/pull/10077>`__: DOC: Replace undefined \`k\` in \`interpolate.splev\` docstring * `#10079 <https://github.com/scipy/scipy/pull/10079>`__: DOC: Fixed typo, rearranged some doc of stats.morestats.wilcoxon. * `#10080 <https://github.com/scipy/scipy/pull/10080>`__: TST: install scikit-sparse for full TravisCI tests * `#10083 <https://github.com/scipy/scipy/pull/10083>`__: Clean \`\`_clean_inputs\`\` in optimize.linprog * `#10088 <https://github.com/scipy/scipy/pull/10088>`__: ENH: optimize: linprog test CHOLMOD/UMFPACK solvers when available * `#10090 <https://github.com/scipy/scipy/pull/10090>`__: MAINT: Fix CubicSplinerInterpolator for pandas * `#10091 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NumPy-Discussion May 2019