Mailman 3 February 2016 - SciPy-Dev

Pull request workflow
by Pauli Virtanen 21 Feb '16

21 Feb '16

Hi, Just a quick comment on pull request workflow on scipy: - there's a "needs-work" label for PRs that have specific actionable changes required before OK for merging - there's a "needs-decision" label for PRs that are stalled on a design decision Unfortunately, Github UI does not indicate when new commits are added to PRs, potentially invalidating the "needs-work" label. It's also unrealistic to expect that the ~30 mails Github spews daily are read through and the labels updated manually. Luckily, with some scripting the relevant information on PRs with new commits and the labeling times can be retrieved from Github API. There's an automatic list here, provided on an as-is basis: https://pav.iki.fi/scipy-needs-work/ (Currently there are none, since I just went through them.) -- Pauli Virtanen

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Re: [SciPy-Dev] Q-function
by Akash Goel 17 Feb '16

17 Feb '16

Maybe a mention of Q-function to the documentation of scipy.stats.norm.sf can be added (if its that important)? >>From the Wikipedia page, we see that the Q-function is equal to the Gaussian Survival function (scipy.stats.norm.sf) as well. >CVLattes: http://lattes.cnpq.br/3267230342393209 >>On Wed, Feb 17, 2016 at 4:54 AM, Eran Hof <eran.hof(a)gmail.com> wrote: >> Dear scipy devs >> >> If I may suggest, there is an interest in adding a new error function to >> the scipy special functions. The Q-function (see please, >> https://en.wikipedia.org/wiki/Q-function). This function is of great >> interest and much in use within the communication engineering and error >> correcting coding communities. >> >> There is a 1:1 mapping from Q-function to erf function. However, in >> engineering, in contrast to statistics, most text book use the Q-function >> instead and this is the very first function a new to python engineer will >> try to look for. >> >> Also, the implementation is so fast, as Q(x) = 0.5 - 0.5 * erf (x / >> sqrt(2)). So why not having this function aboard? It will be used >> immediately by every communication engineer that adopts the scipy instead >> of Matlab. >> >> Also, inverse is easily implemented as well since Qinv(y) = sqrt(2) >> erfinv(1-2y). >> >> I think this small contribution may be of great service. >> >> Your comments are much appreciated. Thanks.

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New multidimensional integration package available in scikits
by Nathan Woods 17 Feb '16

17 Feb '16

I'd like to announce the availability of CyCuba, a Python wrapper to the Cuba library for multidimensional integration. The numerical evaluation of integrals is largely a solved problem these days, usually through the use of adaptive quadrature such as that found in Quadpack and other libraries. For multi-dimensional integrals, the solution has traditionally been to use iterated one-dimensional quadrature rules, but the costs associated with these can be prohibitively high, even in moderate (3-7) dimensions. The Cuba library (http://www.feynarts.de/cuba/) implements several different deterministic and Monte Carlo algorithms for more efficient evaluation of multidimensional integrals, and is available under the GNU LGPL. CyCuba is a BSD-licensed Cython wrapper that provides access to the Cuba library from Python. It is my hope that this scikit will be useful to others who run into difficulties efficiently evaluating multidimensional integrals. If possible, I'd also like to include a reference to this project in the documentation for scipy.integrate.nquad. I'd love to get community involvement and feedback on this, as I think that a more-scalable, robust tool for multidimensional integration is needed in the scientific python community. The repository is located at https://github.com/scikit-cycuba/scikit-cycuba. Please check it out, and let me know what you think. Thanks, Nathan Woods

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Q-function
by Eran Hof 17 Feb '16

17 Feb '16

Dear scipy devs If I may suggest, there is an interest in adding a new error function to the scipy special functions. The Q-function (see please, https://en.wikipedia.org/wiki/Q-function). This function is of great interest and much in use within the communication engineering and error correcting coding communities. There is a 1:1 mapping from Q-function to erf function. However, in engineering, in contrast to statistics, most text book use the Q-function instead and this is the very first function a new to python engineer will try to look for. Also, the implementation is so fast, as Q(x) = 0.5 - 0.5 * erf (x / sqrt(2)). So why not having this function aboard? It will be used immediately by every communication engineer that adopts the scipy instead of Matlab. Also, inverse is easily implemented as well since Qinv(y) = sqrt(2) erfinv(1-2y). I think this small contribution may be of great service. Your comments are much appreciated. Thanks.

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ANN: scipy 0.17.0 release
by Evgeni Burovski 15 Feb '16

15 Feb '16

Hi, On behalf of the Scipy development team I am pleased to announce the availability of Scipy 0.17.0. This release contains several new features, detailed in the release notes below. 101 people contributed to this release over the course of six months. This release requires Python 2.6, 2.7 or 3.2-3.4 and NumPy 1.6.2 or greater. Source tarballs and release notes can be found at https://github.com/scipy/scipy/releases/tag/v0.17.0. Thanks to everyone who contributed to this release. Cheers, Evgeni -----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 ========================== SciPy 0.17.0 Release Notes ========================== .. contents:: SciPy 0.17.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, 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 bug-fixes and optimizations. Moreover, our development attention will now shift to bug-fix releases on the 0.17.x branch, and on adding new features on the master branch. This release requires Python 2.6, 2.7 or 3.2-3.5 and NumPy 1.6.2 or greater. Release highlights: - New functions for linear and nonlinear least squares optimization with constraints: `scipy.optimize.lsq_linear` and `scipy.optimize.least_squares` - Support for fitting with bounds in `scipy.optimize.curve_fit`. - Significant improvements to `scipy.stats`, providing many functions with better handing of inputs which have NaNs or are empty, improved documentation, and consistent behavior between `scipy.stats` and `scipy.stats.mstats`. - Significant performance improvements and new functionality in `scipy.spatial.cKDTree`. New features ============ `scipy.cluster` improvements - ---------------------------- A new function `scipy.cluster.hierarchy.cut_tree`, which determines a cut tree from a linkage matrix, was added. `scipy.io` improvements - ----------------------- `scipy.io.mmwrite` gained support for symmetric sparse matrices. `scipy.io.netcdf` gained support for masking and scaling data based on data attributes. `scipy.optimize` improvements - ----------------------------- Linear assignment problem solver ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ `scipy.optimize.linear_sum_assignment` is a new function for solving the linear sum assignment problem. It uses the Hungarian algorithm (Kuhn-Munkres). Least squares optimization ~~~~~~~~~~~~~~~~~~~~~~~~~~ A new function for *nonlinear* least squares optimization with constraints was added: `scipy.optimize.least_squares`. It provides several methods: Levenberg-Marquardt for unconstrained problems, and two trust-region methods for constrained ones. Furthermore it provides different loss functions. New trust-region methods also handle sparse Jacobians. A new function for *linear* least squares optimization with constraints was added: `scipy.optimize.lsq_linear`. It provides a trust-region method as well as an implementation of the Bounded-Variable Least-Squares (BVLS) algorithm. `scipy.optimize.curve_fit` now supports fitting with bounds. `scipy.signal` improvements - --------------------------- A ``mode`` keyword was added to `scipy.signal.spectrogram`, to let it return other spectrograms than power spectral density. `scipy.stats` improvements - -------------------------- Many functions in `scipy.stats` have gained a ``nan_policy`` keyword, which allows specifying how to treat input with NaNs in them: propagate the NaNs, raise an error, or omit the NaNs. Many functions in `scipy.stats` have been improved to correctly handle input arrays that are empty or contain infs/nans. A number of functions with the same name in `scipy.stats` and `scipy.stats.mstats` were changed to have matching signature and behavior. See `gh-5474 <https://github.com/scipy/scipy/issues/5474>`__ for details. `scipy.stats.binom_test` and `scipy.stats.mannwhitneyu` gained a keyword ``alternative``, which allows specifying the hypothesis to test for. Eventually all hypothesis testing functions will get this keyword. For methods of many continuous distributions, complex input is now accepted. Matrix normal distribution has been implemented as `scipy.stats.matrix_normal`. `scipy.sparse` improvements - --------------------------- The `axis` keyword was added to sparse norms, `scipy.sparse.linalg.norm`. `scipy.spatial` improvements - ---------------------------- `scipy.spatial.cKDTree` was partly rewritten for improved performance and several new features were added to it: - - the ``query_ball_point`` method became significantly faster - - ``query`` and ``query_ball_point`` gained an ``n_jobs`` keyword for parallel execution - - build and query methods now release the GIL - - full pickling support - - support for periodic spaces - - the ``sparse_distance_matrix`` method can now return and sparse matrix type `scipy.interpolate` improvements - -------------------------------- Out-of-bounds behavior of `scipy.interpolate.interp1d` has been improved. Use a two-element tuple for the ``fill_value`` argument to specify separate fill values for input below and above the interpolation range. Linear and nearest interpolation kinds of `scipy.interpolate.interp1d` support extrapolation via the ``fill_value="extrapolate"`` keyword. ``fill_value`` can also be set to an array-like (or a two-element tuple of array-likes for separate below and above values) so long as it broadcasts properly to the non-interpolated dimensions of an array. This was implicitly supported by previous versions of scipy, but support has now been formalized and gets compatibility-checked before use. For example, a set of ``y`` values to interpolate with shape ``(2, 3, 5)`` interpolated along the last axis (2) could accept a ``fill_value`` array with shape ``()`` (singleton), ``(1,)``, ``(2, 1)``, ``(1, 3)``, ``(3,)``, or ``(2, 3)``; or it can be a 2-element tuple to specify separate below and above bounds, where each of the two tuple elements obeys proper broadcasting rules. `scipy.linalg` improvements - --------------------------- The default algorithm for `scipy.linalg.leastsq` has been changed to use LAPACK's function ``*gelsd``. Users wanting to get the previous behavior can use a new keyword ``lapack_driver="gelss"`` (allowed values are "gelss", "gelsd" and "gelsy"). ``scipy.sparse`` matrices and linear operators now support the matmul (``@``) operator when available (Python 3.5+). See [PEP 465](http://legacy.python.org/dev/peps/pep-0465/) A new function `scipy.linalg.ordqz`, for QZ decomposition with reordering, has been added. Deprecated features =================== ``scipy.stats.histogram`` is deprecated in favor of ``np.histogram``, which is faster and provides the same functionality. ``scipy.stats.threshold`` and ``scipy.mstats.threshold`` are deprecated in favor of ``np.clip``. See issue #617 for details. ``scipy.stats.ss`` is deprecated. This is a support function, not meant to be exposed to the user. Also, the name is unclear. See issue #663 for details. ``scipy.stats.square_of_sums`` is deprecated. This too is a support function not meant to be exposed to the user. See issues #665 and #663 for details. ``scipy.stats.f_value``, ``scipy.stats.f_value_multivariate``, ``scipy.stats.f_value_wilks_lambda``, and ``scipy.mstats.f_value_wilks_lambda`` are deprecated. These are related to ANOVA, for which ``scipy.stats`` provides quite limited functionality and these functions are not very useful standalone. See issues #660 and #650 for details. ``scipy.stats.chisqprob`` is deprecated. This is an alias. ``stats.chi2.sf`` should be used instead. ``scipy.stats.betai`` is deprecated. This is an alias for ``special.betainc`` which should be used instead. Backwards incompatible changes ============================== The functions ``stats.trim1`` and ``stats.trimboth`` now make sure the elements trimmed are the lowest and/or highest, depending on the case. Slicing without at least partial sorting was previously done, but didn't make sense for unsorted input. When ``variable_names`` is set to an empty list, ``scipy.io.loadmat`` now correctly returns no values instead of all the contents of the MAT file. Element-wise multiplication of sparse matrices now returns a sparse result in all cases. Previously, multiplying a sparse matrix with a dense matrix or array would return a dense matrix. The function ``misc.lena`` has been removed due to license incompatibility. The constructor for ``sparse.coo_matrix`` no longer accepts ``(None, (m,n))`` to construct an all-zero matrix of shape ``(m,n)``. This functionality was deprecated since at least 2007 and was already broken in the previous SciPy release. Use ``coo_matrix((m,n))`` instead. The Cython wrappers in ``linalg.cython_lapack`` for the LAPACK routines ``*gegs``, ``*gegv``, ``*gelsx``, ``*geqpf``, ``*ggsvd``, ``*ggsvp``, ``*lahrd``, ``*latzm``, ``*tzrqf`` have been removed since these routines are not present in the new LAPACK 3.6.0 release. With the exception of the routines ``*ggsvd`` and ``*ggsvp``, these were all deprecated in favor of routines that are currently present in our Cython LAPACK wrappers. Because the LAPACK ``*gegv`` routines were removed in LAPACK 3.6.0. The corresponding Python wrappers in ``scipy.linalg.lapack`` are now deprecated and will be removed in a future release. The source files for these routines have been temporarily included as a part of ``scipy.linalg`` so that SciPy can be built against LAPACK versions that do not provide these deprecated routines. Other changes ============= Html and pdf documentation of development versions of Scipy is now automatically rebuilt after every merged pull request. `scipy.constants` is updated to the CODATA 2014 recommended values. Usage of `scipy.fftpack` functions within Scipy has been changed in such a way that `PyFFTW <http://hgomersall.github.io/pyFFTW/>`__ can easily replace `scipy.fftpack` functions (with improved performance). See `gh-5295 <https://github.com/scipy/scipy/pull/5295>`__ for details. The ``imread`` functions in `scipy.misc` and `scipy.ndimage` were unified, for which a ``mode`` argument was added to `scipy.misc.imread`. Also, bugs for 1-bit and indexed RGB image formats were fixed. ``runtests.py``, the development script to build and test Scipy, now allows building in parallel with ``--parallel``. Authors ======= * @cel4 + * @chemelnucfin + * @endolith * @mamrehn + * @tosh1ki + * Joshua L. Adelman + * Anne Archibald * Hervé Audren + * Vincent Barrielle + * Bruno Beltran + * Sumit Binnani + * Joseph Jon Booker * Olga Botvinnik + * Michael Boyle + * Matthew Brett * Zaz Brown + * Lars Buitinck * Pete Bunch + * Evgeni Burovski * CJ Carey * Ien Cheng + * Cody + * Jaime Fernandez del Rio * Ales Erjavec + * Abraham Escalante * Yves-Rémi Van Eycke + * Yu Feng + * Eric Firing * Francis T. O'Donovan + * André Gaul * Christoph Gohlke * Ralf Gommers * Alex Griffing * Alexander Grigorievskiy * Charles Harris * Jörn Hees + * Ian Henriksen * Derek Homeier + * David Menéndez Hurtado * Gert-Ludwig Ingold * Aakash Jain + * Rohit Jamuar + * Jan Schlüter * Johannes Ballé * Luke Zoltan Kelley + * Jason King + * Andreas Kopecky + * Eric Larson * Denis Laxalde * Antony Lee * Gregory R. Lee * Josh Levy-Kramer + * Sam Lewis + * François Magimel + * Martín Gaitán + * Sam Mason + * Andreas Mayer * Nikolay Mayorov * Damon McDougall + * Robert McGibbon * Sturla Molden * Will Monroe + * Eric Moore * Maniteja Nandana * Vikram Natarajan + * Andrew Nelson * Marti Nito + * Behzad Nouri + * Daisuke Oyama + * Giorgio Patrini + * Fabian Paul + * Christoph Paulik + * Mad Physicist + * Irvin Probst * Sebastian Pucilowski + * Ted Pudlik + * Eric Quintero * Yoav Ram + * Joscha Reimer + * Juha Remes * Frederik Rietdijk + * Rémy Léone + * Christian Sachs + * Skipper Seabold * Sebastian Skoupý + * Alex Seewald + * Andreas Sorge + * Bernardo Sulzbach + * Julian Taylor * Louis Tiao + * Utkarsh Upadhyay + * Jacob Vanderplas * Gael Varoquaux + * Pauli Virtanen * Fredrik Wallner + * Stefan van der Walt * James Webber + * Warren Weckesser * Raphael Wettinger + * Josh Wilson + * Nat Wilson + * Peter Yin + A total of 101 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 0.17.0 - ------------------------ - - `#1923 <https://github.com/scipy/scipy/issues/1923>`__: problem with numpy 0's in stats.poisson.rvs (Trac #1398) - - `#2138 <https://github.com/scipy/scipy/issues/2138>`__: scipy.misc.imread segfaults on 1 bit png (Trac #1613) - - `#2237 <https://github.com/scipy/scipy/issues/2237>`__: distributions do not accept complex arguments (Trac #1718) - - `#2282 <https://github.com/scipy/scipy/issues/2282>`__: scipy.special.hyp1f1(0.5, 1.5, -1000) fails (Trac #1763) - - `#2618 <https://github.com/scipy/scipy/issues/2618>`__: poisson.pmf returns NaN if mu is 0 - - `#2957 <https://github.com/scipy/scipy/issues/2957>`__: hyp1f1 precision issue - - `#2997 <https://github.com/scipy/scipy/issues/2997>`__: FAIL: test_qhull.TestUtilities.test_more_barycentric_transforms - - `#3129 <https://github.com/scipy/scipy/issues/3129>`__: No way to set ranges for fitting parameters in Optimize functions - - `#3191 <https://github.com/scipy/scipy/issues/3191>`__: interp1d should contain a fill_value_below and a fill_value_above... - - `#3453 <https://github.com/scipy/scipy/issues/3453>`__: PchipInterpolator sets slopes at edges differently than Matlab's... - - `#4106 <https://github.com/scipy/scipy/issues/4106>`__: ndimage._ni_support._normalize_sequence() fails with numpy.int64 - - `#4118 <https://github.com/scipy/scipy/issues/4118>`__: `scipy.integrate.ode.set_solout` called after `scipy.integrate.ode.set_initial_value` fails silently - - `#4233 <https://github.com/scipy/scipy/issues/4233>`__: 1D scipy.interpolate.griddata using method=nearest produces nans... - - `#4375 <https://github.com/scipy/scipy/issues/4375>`__: All tests fail due to bad file permissions - - `#4580 <https://github.com/scipy/scipy/issues/4580>`__: scipy.ndimage.filters.convolve documenation is incorrect - - `#4627 <https://github.com/scipy/scipy/issues/4627>`__: logsumexp with sign indicator - enable calculation with negative... - - `#4702 <https://github.com/scipy/scipy/issues/4702>`__: logsumexp with zero scaling factor - - `#4834 <https://github.com/scipy/scipy/issues/4834>`__: gammainc should return 1.0 instead of NaN for infinite x - - `#4838 <https://github.com/scipy/scipy/issues/4838>`__: enh: exprel special function - - `#4862 <https://github.com/scipy/scipy/issues/4862>`__: the scipy.special.boxcox function is inaccurate for denormal... - - `#4887 <https://github.com/scipy/scipy/issues/4887>`__: Spherical harmonic incongruences - - `#4895 <https://github.com/scipy/scipy/issues/4895>`__: some scipy ufuncs have inconsistent output dtypes? - - `#4923 <https://github.com/scipy/scipy/issues/4923>`__: logm does not aggressively convert complex outputs to float - - `#4932 <https://github.com/scipy/scipy/issues/4932>`__: BUG: stats: The `fit` method of the distributions silently ignores... - - `#4956 <https://github.com/scipy/scipy/issues/4956>`__: Documentation error in `scipy.special.bi_zeros` - - `#4957 <https://github.com/scipy/scipy/issues/4957>`__: Docstring for `pbvv_seq` is wrong - - `#4967 <https://github.com/scipy/scipy/issues/4967>`__: block_diag should look at dtypes of all arguments, not only the... - - `#5037 <https://github.com/scipy/scipy/issues/5037>`__: scipy.optimize.minimize error messages are printed to stdout... - - `#5039 <https://github.com/scipy/scipy/issues/5039>`__: Cubic interpolation: On entry to DGESDD parameter number 12 had... - - `#5163 <https://github.com/scipy/scipy/issues/5163>`__: Base case example of Hierarchical Clustering (offer) - - `#5181 <https://github.com/scipy/scipy/issues/5181>`__: BUG: stats.genextreme.entropy should use the explicit formula - - `#5184 <https://github.com/scipy/scipy/issues/5184>`__: Some? wheels don't express a numpy dependency - - `#5197 <https://github.com/scipy/scipy/issues/5197>`__: mstats: test_kurtosis fails (ULP max is 2) - - `#5260 <https://github.com/scipy/scipy/issues/5260>`__: Typo causing an error in splrep - - `#5263 <https://github.com/scipy/scipy/issues/5263>`__: Default epsilon in rbf.py fails for colinear points - - `#5276 <https://github.com/scipy/scipy/issues/5276>`__: Reading empty (no data) arff file fails - - `#5280 <https://github.com/scipy/scipy/issues/5280>`__: 1d scipy.signal.convolve much slower than numpy.convolve - - `#5326 <https://github.com/scipy/scipy/issues/5326>`__: Implementation error in scipy.interpolate.PchipInterpolator - - `#5370 <https://github.com/scipy/scipy/issues/5370>`__: Test issue with test_quadpack and libm.so as a linker script - - `#5426 <https://github.com/scipy/scipy/issues/5426>`__: ERROR: test_stats.test_chisquare_masked_arrays - - `#5427 <https://github.com/scipy/scipy/issues/5427>`__: Automate installing correct numpy versions in numpy-vendor image - - `#5430 <https://github.com/scipy/scipy/issues/5430>`__: Python3 : Numpy scalar types "not iterable"; specific instance... - - `#5450 <https://github.com/scipy/scipy/issues/5450>`__: BUG: spatial.ConvexHull triggers a seg. fault when given nans. - - `#5478 <https://github.com/scipy/scipy/issues/5478>`__: clarify the relation between matrix normal distribution and `multivariate_normal` - - `#5539 <https://github.com/scipy/scipy/issues/5539>`__: lstsq related test failures on windows binaries from numpy-vendor - - `#5560 <https://github.com/scipy/scipy/issues/5560>`__: doc: scipy.stats.burr pdf issue - - `#5571 <https://github.com/scipy/scipy/issues/5571>`__: lstsq test failure after lapack_driver change - - `#5577 <https://github.com/scipy/scipy/issues/5577>`__: ordqz segfault on Python 3.4 in Wine - - `#5578 <https://github.com/scipy/scipy/issues/5578>`__: scipy.linalg test failures on python 3 in Wine - - `#5607 <https://github.com/scipy/scipy/issues/5607>`__: Overloaded ‘isnan(double&)’ is ambiguous when compiling with... - - `#5629 <https://github.com/scipy/scipy/issues/5629>`__: Test for lstsq randomly failed - - `#5630 <https://github.com/scipy/scipy/issues/5630>`__: memory leak with scipy 0.16 spatial cKDEtree - - `#5689 <https://github.com/scipy/scipy/issues/5689>`__: isnan errors compiling scipy/special/Faddeeva.cc with clang++ - - `#5694 <https://github.com/scipy/scipy/issues/5694>`__: fftpack test failure in test_import - - `#5719 <https://github.com/scipy/scipy/issues/5719>`__: curve_fit(method!="lm") ignores initial guess Pull requests for 0.17.0 - ------------------------ - - `#3022 <https://github.com/scipy/scipy/pull/3022>`__: hyp1f1: better handling of large negative arguments - - `#3107 <https://github.com/scipy/scipy/pull/3107>`__: ENH: Add ordered QZ decomposition - - `#4390 <https://github.com/scipy/scipy/pull/4390>`__: ENH: Allow axis and keepdims arguments to be passed to scipy.linalg.norm. - - `#4671 <https://github.com/scipy/scipy/pull/4671>`__: ENH: add axis to sparse norms - - `#4796 <https://github.com/scipy/scipy/pull/4796>`__: ENH: Add cut tree function to scipy.cluster.hierarchy - - `#4809 <https://github.com/scipy/scipy/pull/4809>`__: MAINT: cauchy moments are undefined - - `#4821 <https://github.com/scipy/scipy/pull/4821>`__: ENH: stats: make distribution instances picklable - - `#4839 <https://github.com/scipy/scipy/pull/4839>`__: ENH: Add scipy.special.exprel relative error exponential ufunc - - `#4859 <https://github.com/scipy/scipy/pull/4859>`__: Logsumexp fixes - allows sign flags and b==0 - - `#4865 <https://github.com/scipy/scipy/pull/4865>`__: BUG: scipy.io.mmio.write: error with big indices and low precision - - `#4869 <https://github.com/scipy/scipy/pull/4869>`__: add as_inexact option to _lib._util._asarray_validated - - `#4884 <https://github.com/scipy/scipy/pull/4884>`__: ENH: Finite difference approximation of Jacobian matrix - - `#4890 <https://github.com/scipy/scipy/pull/4890>`__: ENH: Port cKDTree query methods to C++, allow pickling on Python... - - `#4892 <https://github.com/scipy/scipy/pull/4892>`__: how much doctesting is too much? - - `#4896 <https://github.com/scipy/scipy/pull/4896>`__: MAINT: work around a possible numpy ufunc loop selection bug - - `#4898 <https://github.com/scipy/scipy/pull/4898>`__: MAINT: A bit of pyflakes-driven cleanup. - - `#4899 <https://github.com/scipy/scipy/pull/4899>`__: ENH: add 'alternative' keyword to hypothesis tests in stats - - `#4903 <https://github.com/scipy/scipy/pull/4903>`__: BENCH: Benchmarks for interpolate module - - `#4905 <https://github.com/scipy/scipy/pull/4905>`__: MAINT: prepend underscore to mask_to_limits; delete masked_var. - - `#4906 <https://github.com/scipy/scipy/pull/4906>`__: MAINT: Benchmarks for optimize.leastsq - - `#4910 <https://github.com/scipy/scipy/pull/4910>`__: WIP: Trimmed statistics functions have inconsistent API. - - `#4912 <https://github.com/scipy/scipy/pull/4912>`__: MAINT: fix typo in stats tutorial. Closes gh-4911. - - `#4914 <https://github.com/scipy/scipy/pull/4914>`__: DEP: deprecate `scipy.stats.ss` and `scipy.stats.square_of_sums`. - - `#4924 <https://github.com/scipy/scipy/pull/4924>`__: MAINT: if the imaginary part of logm of a real matrix is small,... - - `#4930 <https://github.com/scipy/scipy/pull/4930>`__: BENCH: Benchmarks for signal module - - `#4941 <https://github.com/scipy/scipy/pull/4941>`__: ENH: update `find_repeats`. - - `#4942 <https://github.com/scipy/scipy/pull/4942>`__: MAINT: use np.float64_t instead of np.float_t in cKDTree - - `#4944 <https://github.com/scipy/scipy/pull/4944>`__: BUG: integer overflow in correlate_nd - - `#4951 <https://github.com/scipy/scipy/pull/4951>`__: do not ignore invalid kwargs in distributions fit method - - `#4958 <https://github.com/scipy/scipy/pull/4958>`__: Add some detail to docstrings for special functions - - `#4961 <https://github.com/scipy/scipy/pull/4961>`__: ENH: stats.describe: add bias kw and empty array handling - - `#4963 <https://github.com/scipy/scipy/pull/4963>`__: ENH: scipy.sparse.coo.coo_matrix.__init__: less memory needed - - `#4968 <https://github.com/scipy/scipy/pull/4968>`__: DEP: deprecate ``stats.f_value*`` and ``mstats.f_value*`` functions. - - `#4969 <https://github.com/scipy/scipy/pull/4969>`__: ENH: review `stats.relfreq` and `stats.cumfreq`; fixes to `stats.histogram` - - `#4971 <https://github.com/scipy/scipy/pull/4971>`__: Extend github source links to line ranges - - `#4972 <https://github.com/scipy/scipy/pull/4972>`__: MAINT: impove the error message in validate_runtests_log - - `#4976 <https://github.com/scipy/scipy/pull/4976>`__: DEP: deprecate `scipy.stats.threshold` - - `#4977 <https://github.com/scipy/scipy/pull/4977>`__: MAINT: more careful dtype treatment in block diagonal matrix... - - `#4979 <https://github.com/scipy/scipy/pull/4979>`__: ENH: distributions, complex arguments - - `#4984 <https://github.com/scipy/scipy/pull/4984>`__: clarify dirichlet distribution error handling - - `#4992 <https://github.com/scipy/scipy/pull/4992>`__: ENH: `stats.fligner` and `stats.bartlett` empty input handling. - - `#4996 <https://github.com/scipy/scipy/pull/4996>`__: DOC: fix stats.spearmanr docs - - `#4997 <https://github.com/scipy/scipy/pull/4997>`__: Fix up boxcox for underflow / loss of precision - - `#4998 <https://github.com/scipy/scipy/pull/4998>`__: DOC: improved documentation for `stats.ppcc_max` - - `#5000 <https://github.com/scipy/scipy/pull/5000>`__: ENH: added empty input handling `scipy.moment`; doc enhancements - - `#5003 <https://github.com/scipy/scipy/pull/5003>`__: ENH: improves rankdata algorithm - - `#5005 <https://github.com/scipy/scipy/pull/5005>`__: scipy.stats: numerical stability improvement - - `#5007 <https://github.com/scipy/scipy/pull/5007>`__: ENH: nan handling in functions that use `stats._chk_asarray` - - `#5009 <https://github.com/scipy/scipy/pull/5009>`__: remove coveralls.io - - `#5010 <https://github.com/scipy/scipy/pull/5010>`__: Hypergeometric distribution log survival function - - `#5014 <https://github.com/scipy/scipy/pull/5014>`__: Patch to compute the volume and area of convex hulls - - `#5015 <https://github.com/scipy/scipy/pull/5015>`__: DOC: Fix mistaken variable name in sawtooth - - `#5016 <https://github.com/scipy/scipy/pull/5016>`__: DOC: resample example - - `#5017 <https://github.com/scipy/scipy/pull/5017>`__: DEP: deprecate `stats.betai` and `stats.chisqprob` - - `#5018 <https://github.com/scipy/scipy/pull/5018>`__: ENH: Add test on random inpu to volume computations - - `#5026 <https://github.com/scipy/scipy/pull/5026>`__: BUG: Fix return dtype of lil_matrix.getnnz(axis=0) - - `#5030 <https://github.com/scipy/scipy/pull/5030>`__: DOC: resample slow for prime output too - - `#5033 <https://github.com/scipy/scipy/pull/5033>`__: MAINT: integrate, special: remove unused R1MACH and Makefile - - `#5034 <https://github.com/scipy/scipy/pull/5034>`__: MAINT: signal: lift max_len_seq validation out of Cython - - `#5035 <https://github.com/scipy/scipy/pull/5035>`__: DOC/MAINT: refguide / doctest drudgery - - `#5041 <https://github.com/scipy/scipy/pull/5041>`__: BUG: fixing some small memory leaks detected by cppcheck - - `#5044 <https://github.com/scipy/scipy/pull/5044>`__: [GSoC] ENH: New least-squares algorithms - - `#5050 <https://github.com/scipy/scipy/pull/5050>`__: MAINT: C fixes, trimmed a lot of dead code from Cephes - - `#5057 <https://github.com/scipy/scipy/pull/5057>`__: ENH: sparse: avoid densifying on sparse/dense elementwise mult - - `#5058 <https://github.com/scipy/scipy/pull/5058>`__: TST: stats: add a sample distribution to the test loop - - `#5061 <https://github.com/scipy/scipy/pull/5061>`__: ENH: spatial: faster 2D Voronoi and Convex Hull plotting - - `#5065 <https://github.com/scipy/scipy/pull/5065>`__: TST: improve test coverage for `stats.mvsdist` and `stats.bayes_mvs` - - `#5066 <https://github.com/scipy/scipy/pull/5066>`__: MAINT: fitpack: remove a noop - - `#5067 <https://github.com/scipy/scipy/pull/5067>`__: ENH: empty and nan input handling for `stats.kstat` and `stats.kstatvar` - - `#5071 <https://github.com/scipy/scipy/pull/5071>`__: DOC: optimize: Correct paper reference, add doi - - `#5072 <https://github.com/scipy/scipy/pull/5072>`__: MAINT: scipy.sparse cleanup - - `#5073 <https://github.com/scipy/scipy/pull/5073>`__: DOC: special: Add an example showing the relation of diric to... - - `#5075 <https://github.com/scipy/scipy/pull/5075>`__: DOC: clarified parameterization of stats.lognorm - - `#5076 <https://github.com/scipy/scipy/pull/5076>`__: use int, float, bool instead of np.int, np.float, np.bool - - `#5078 <https://github.com/scipy/scipy/pull/5078>`__: DOC: Rename fftpack docs to README - - `#5081 <https://github.com/scipy/scipy/pull/5081>`__: BUG: Correct handling of scalar 'b' in lsmr and lsqr - - `#5082 <https://github.com/scipy/scipy/pull/5082>`__: loadmat variable_names: don't confuse [] and None. - - `#5083 <https://github.com/scipy/scipy/pull/5083>`__: Fix integrate.fixed_quad docstring to indicate None return value - - `#5086 <https://github.com/scipy/scipy/pull/5086>`__: Use solve() instead of inv() for gaussian_kde - - `#5090 <https://github.com/scipy/scipy/pull/5090>`__: MAINT: stats: add explicit _sf, _isf to gengamma distribution - - `#5094 <https://github.com/scipy/scipy/pull/5094>`__: ENH: scipy.interpolate.NearestNDInterpolator: cKDTree configurable - - `#5098 <https://github.com/scipy/scipy/pull/5098>`__: DOC: special: fix typesetting in ``*_roots quadrature`` functions - - `#5099 <https://github.com/scipy/scipy/pull/5099>`__: DOC: make the docstring of stats.moment raw - - `#5104 <https://github.com/scipy/scipy/pull/5104>`__: DOC/ENH fixes and micro-optimizations for scipy.linalg - - `#5105 <https://github.com/scipy/scipy/pull/5105>`__: enh: made l-bfgs-b parameter for the maximum number of line search... - - `#5106 <https://github.com/scipy/scipy/pull/5106>`__: TST: add NIST test cases to `stats.f_oneway` - - `#5110 <https://github.com/scipy/scipy/pull/5110>`__: [GSoC]: Bounded linear least squares - - `#5111 <https://github.com/scipy/scipy/pull/5111>`__: MAINT: special: Cephes cleanup - - `#5118 <https://github.com/scipy/scipy/pull/5118>`__: BUG: FIR path failed if len(x) < len(b) in lfilter. - - `#5124 <https://github.com/scipy/scipy/pull/5124>`__: ENH: move the filliben approximation to a publicly visible function - - `#5126 <https://github.com/scipy/scipy/pull/5126>`__: StatisticsCleanup: `stats.kruskal` review - - `#5130 <https://github.com/scipy/scipy/pull/5130>`__: DOC: update PyPi trove classifiers. Beta -> Stable. Add license. - - `#5131 <https://github.com/scipy/scipy/pull/5131>`__: DOC: differential_evolution, improve docstring for mutation and... - - `#5132 <https://github.com/scipy/scipy/pull/5132>`__: MAINT: differential_evolution improve init_population_lhs comments... - - `#5133 <https://github.com/scipy/scipy/pull/5133>`__: MRG: rebased mmio refactoring - - `#5135 <https://github.com/scipy/scipy/pull/5135>`__: MAINT: `stats.mstats` consistency with `stats.stats` - - `#5139 <https://github.com/scipy/scipy/pull/5139>`__: TST: linalg: add a smoke test for gh-5039 - - `#5140 <https://github.com/scipy/scipy/pull/5140>`__: EHN: Update constants.codata to CODATA 2014 - - `#5145 <https://github.com/scipy/scipy/pull/5145>`__: added ValueError to docstring as possible error raised - - `#5146 <https://github.com/scipy/scipy/pull/5146>`__: MAINT: Improve implementation details and doc in `stats.shapiro` - - `#5147 <https://github.com/scipy/scipy/pull/5147>`__: [GSoC] ENH: Upgrades to curve_fit - - `#5150 <https://github.com/scipy/scipy/pull/5150>`__: Fix misleading wavelets/cwt example - - `#5152 <https://github.com/scipy/scipy/pull/5152>`__: BUG: cluster.hierarchy.dendrogram: missing font size doesn't... - - `#5153 <https://github.com/scipy/scipy/pull/5153>`__: add keywords to control the summation in discrete distributions... - - `#5156 <https://github.com/scipy/scipy/pull/5156>`__: DOC: added comments on algorithms used in Legendre function - - `#5158 <https://github.com/scipy/scipy/pull/5158>`__: ENH: optimize: add the Hungarian algorithm - - `#5162 <https://github.com/scipy/scipy/pull/5162>`__: FIX: Remove lena - - `#5164 <https://github.com/scipy/scipy/pull/5164>`__: MAINT: fix cluster.hierarchy.dendrogram issues and docs - - `#5166 <https://github.com/scipy/scipy/pull/5166>`__: MAINT: changed `stats.pointbiserialr` to delegate to `stats.pearsonr` - - `#5167 <https://github.com/scipy/scipy/pull/5167>`__: ENH: add nan_policy to `stats.kendalltau`. - - `#5168 <https://github.com/scipy/scipy/pull/5168>`__: TST: added nist test case (Norris) to `stats.linregress`. - - `#5169 <https://github.com/scipy/scipy/pull/5169>`__: update lpmv docstring - - `#5171 <https://github.com/scipy/scipy/pull/5171>`__: Clarify metric parameter in linkage docstring - - `#5172 <https://github.com/scipy/scipy/pull/5172>`__: ENH: add mode keyword to signal.spectrogram - - `#5177 <https://github.com/scipy/scipy/pull/5177>`__: DOC: graphical example for KDTree.query_ball_point - - `#5179 <https://github.com/scipy/scipy/pull/5179>`__: MAINT: stats: tweak the formula for ncx2.pdf - - `#5188 <https://github.com/scipy/scipy/pull/5188>`__: MAINT: linalg: A bit of clean up. - - `#5189 <https://github.com/scipy/scipy/pull/5189>`__: BUG: stats: Use the explicit formula in stats.genextreme.entropy - - `#5193 <https://github.com/scipy/scipy/pull/5193>`__: BUG: fix uninitialized use in lartg - - `#5194 <https://github.com/scipy/scipy/pull/5194>`__: BUG: properly return error to fortran from ode_jacobian_function - - `#5198 <https://github.com/scipy/scipy/pull/5198>`__: TST: Fix TestCtypesQuad failure on Python 3.5 for Windows - - `#5201 <https://github.com/scipy/scipy/pull/5201>`__: allow extrapolation in interp1d - - `#5209 <https://github.com/scipy/scipy/pull/5209>`__: MAINT: Change complex parameter to boolean in Y_() - - `#5213 <https://github.com/scipy/scipy/pull/5213>`__: BUG: sparse: fix logical comparison dtype conflicts - - `#5216 <https://github.com/scipy/scipy/pull/5216>`__: BUG: sparse: fixing unbound local error - - `#5218 <https://github.com/scipy/scipy/pull/5218>`__: DOC and BUG: Bessel function docstring improvements, fix array_like,... - - `#5222 <https://github.com/scipy/scipy/pull/5222>`__: MAINT: sparse: fix COO ctor - - `#5224 <https://github.com/scipy/scipy/pull/5224>`__: DOC: optimize: type of OptimizeResult.hess_inv varies - - `#5228 <https://github.com/scipy/scipy/pull/5228>`__: ENH: Add maskandscale support to netcdf; based on pupynere and... - - `#5229 <https://github.com/scipy/scipy/pull/5229>`__: DOC: sparse.linalg.svds doc typo fixed - - `#5234 <https://github.com/scipy/scipy/pull/5234>`__: MAINT: sparse: simplify COO ctor - - `#5235 <https://github.com/scipy/scipy/pull/5235>`__: MAINT: sparse: warn on todia() with many diagonals - - `#5236 <https://github.com/scipy/scipy/pull/5236>`__: MAINT: ndimage: simplify thread handling/recursion + constness - - `#5239 <https://github.com/scipy/scipy/pull/5239>`__: BUG: integrate: Fixed issue 4118 - - `#5241 <https://github.com/scipy/scipy/pull/5241>`__: qr_insert fixes, closes #5149 - - `#5246 <https://github.com/scipy/scipy/pull/5246>`__: Doctest tutorial files - - `#5247 <https://github.com/scipy/scipy/pull/5247>`__: DOC: optimize: typo/import fix in linear_sum_assignment - - `#5248 <https://github.com/scipy/scipy/pull/5248>`__: remove inspect.getargspec and test python 3.5 on Travis CI - - `#5250 <https://github.com/scipy/scipy/pull/5250>`__: BUG: Fix sparse multiply by single-element zero - - `#5261 <https://github.com/scipy/scipy/pull/5261>`__: Fix bug causing a TypeError in splrep when a runtime warning... - - `#5262 <https://github.com/scipy/scipy/pull/5262>`__: Follow up to 4489 (Addition LAPACK routines in linalg.lstsq) - - `#5264 <https://github.com/scipy/scipy/pull/5264>`__: ignore zero-length edges for default epsilon - - `#5269 <https://github.com/scipy/scipy/pull/5269>`__: DOC: Typos and spell-checking - - `#5272 <https://github.com/scipy/scipy/pull/5272>`__: MAINT: signal: Convert array syntax to memoryviews - - `#5273 <https://github.com/scipy/scipy/pull/5273>`__: DOC: raw strings for docstrings with math - - `#5274 <https://github.com/scipy/scipy/pull/5274>`__: MAINT: sparse: update cython code for MST - - `#5278 <https://github.com/scipy/scipy/pull/5278>`__: BUG: io: Stop guessing the data delimiter in ARFF files. - - `#5289 <https://github.com/scipy/scipy/pull/5289>`__: BUG: misc: Fix the Pillow work-around for 1-bit images. - - `#5291 <https://github.com/scipy/scipy/pull/5291>`__: ENH: call np.correlate for 1d in scipy.signal.correlate - - `#5294 <https://github.com/scipy/scipy/pull/5294>`__: DOC: special: Remove a potentially misleading example from the... - - `#5295 <https://github.com/scipy/scipy/pull/5295>`__: Simplify replacement of fftpack by pyfftw - - `#5296 <https://github.com/scipy/scipy/pull/5296>`__: ENH: Add matrix normal distribution to stats - - `#5297 <https://github.com/scipy/scipy/pull/5297>`__: Fixed leaf_rotation and leaf_font_size in Python 3 - - `#5303 <https://github.com/scipy/scipy/pull/5303>`__: MAINT: stats: rewrite find_repeats - - `#5307 <https://github.com/scipy/scipy/pull/5307>`__: MAINT: stats: remove unused Fortran routine - - `#5313 <https://github.com/scipy/scipy/pull/5313>`__: BUG: sparse: fix diags for nonsquare matrices - - `#5315 <https://github.com/scipy/scipy/pull/5315>`__: MAINT: special: Cephes cleanup - - `#5316 <https://github.com/scipy/scipy/pull/5316>`__: fix input check for sparse.linalg.svds - - `#5319 <https://github.com/scipy/scipy/pull/5319>`__: MAINT: Cython code maintenance - - `#5328 <https://github.com/scipy/scipy/pull/5328>`__: BUG: Fix place_poles return values - - `#5329 <https://github.com/scipy/scipy/pull/5329>`__: avoid a spurious divide-by-zero in Student t stats - - `#5334 <https://github.com/scipy/scipy/pull/5334>`__: MAINT: integrate: miscellaneous cleanup - - `#5340 <https://github.com/scipy/scipy/pull/5340>`__: MAINT: Printing Error Msg to STDERR and Removing iterate.dat - - `#5347 <https://github.com/scipy/scipy/pull/5347>`__: ENH: add Py3.5-style matmul operator (e.g. A @ B) to sparse linear... - - `#5350 <https://github.com/scipy/scipy/pull/5350>`__: FIX error, when reading 32-bit float wav files - - `#5351 <https://github.com/scipy/scipy/pull/5351>`__: refactor the PCHIP interpolant's algorithm - - `#5354 <https://github.com/scipy/scipy/pull/5354>`__: MAINT: construct csr and csc matrices from integer lists - - `#5359 <https://github.com/scipy/scipy/pull/5359>`__: add a fast path to interp1d - - `#5364 <https://github.com/scipy/scipy/pull/5364>`__: Add two fill_values to interp1d. - - `#5365 <https://github.com/scipy/scipy/pull/5365>`__: ABCD docstrings - - `#5366 <https://github.com/scipy/scipy/pull/5366>`__: Fixed typo in the documentation for scipy.signal.cwt() per #5290. - - `#5367 <https://github.com/scipy/scipy/pull/5367>`__: DOC updated scipy.spatial.Delaunay example - - `#5368 <https://github.com/scipy/scipy/pull/5368>`__: ENH: Do not create a throwaway class at every function call - - `#5372 <https://github.com/scipy/scipy/pull/5372>`__: DOC: spectral: fix reference formatting - - `#5375 <https://github.com/scipy/scipy/pull/5375>`__: PEP8 amendments to ffpack_basic.py - - `#5377 <https://github.com/scipy/scipy/pull/5377>`__: BUG: integrate: builtin name no longer shadowed - - `#5381 <https://github.com/scipy/scipy/pull/5381>`__: PEP8ified fftpack_pseudo_diffs.py - - `#5385 <https://github.com/scipy/scipy/pull/5385>`__: BLD: fix Bento build for changes to optimize and spatial - - `#5386 <https://github.com/scipy/scipy/pull/5386>`__: STY: PEP8 amendments to interpolate.py - - `#5387 <https://github.com/scipy/scipy/pull/5387>`__: DEP: deprecate stats.histogram - - `#5388 <https://github.com/scipy/scipy/pull/5388>`__: REL: add "make upload" command to doc/Makefile. - - `#5389 <https://github.com/scipy/scipy/pull/5389>`__: DOC: updated origin param of scipy.ndimage.filters.convolve - - `#5395 <https://github.com/scipy/scipy/pull/5395>`__: BUG: special: fix a number of edge cases related to `x = np.inf`. - - `#5398 <https://github.com/scipy/scipy/pull/5398>`__: MAINT: stats: avoid spurious warnings in lognorm.pdf(0, s) - - `#5407 <https://github.com/scipy/scipy/pull/5407>`__: ENH: stats: Handle mu=0 in stats.poisson - - `#5409 <https://github.com/scipy/scipy/pull/5409>`__: Fix the behavior of discrete distributions at the right-hand... - - `#5412 <https://github.com/scipy/scipy/pull/5412>`__: TST: stats: skip a test to avoid a spurious log(0) warning - - `#5413 <https://github.com/scipy/scipy/pull/5413>`__: BUG: linalg: work around LAPACK single-precision lwork computation... - - `#5414 <https://github.com/scipy/scipy/pull/5414>`__: MAINT: stats: move creation of namedtuples outside of function... - - `#5415 <https://github.com/scipy/scipy/pull/5415>`__: DOC: fix up sections in ToC in the pdf reference guide - - `#5416 <https://github.com/scipy/scipy/pull/5416>`__: TST: fix issue with a ctypes test for integrate on Fedora. - - `#5418 <https://github.com/scipy/scipy/pull/5418>`__: DOC: fix bugs in signal.TransferFunction docstring. Closes gh-5287. - - `#5419 <https://github.com/scipy/scipy/pull/5419>`__: MAINT: sparse: fix usage of NotImplementedError - - `#5420 <https://github.com/scipy/scipy/pull/5420>`__: Raise proper error if maxiter < 1 - - `#5422 <https://github.com/scipy/scipy/pull/5422>`__: DOC: changed documentation of brent to be consistent with bracket - - `#5444 <https://github.com/scipy/scipy/pull/5444>`__: BUG: gaussian_filter, BPoly.from_derivatives fail on numpy int... - - `#5445 <https://github.com/scipy/scipy/pull/5445>`__: MAINT: stats: fix incorrect deprecation warnings and test noise - - `#5446 <https://github.com/scipy/scipy/pull/5446>`__: DOC: add note about PyFFTW in fftpack tutorial. - - `#5459 <https://github.com/scipy/scipy/pull/5459>`__: DOC: integrate: Some improvements to the differential equation... - - `#5465 <https://github.com/scipy/scipy/pull/5465>`__: BUG: Relax mstats kurtosis test tolerance by a few ulp - - `#5471 <https://github.com/scipy/scipy/pull/5471>`__: ConvexHull should raise ValueError for NaNs. - - `#5473 <https://github.com/scipy/scipy/pull/5473>`__: MAINT: update decorators.py module to version 4.0.5 - - `#5476 <https://github.com/scipy/scipy/pull/5476>`__: BUG: imsave searches for wrong channel axis if image has 3 or... - - `#5477 <https://github.com/scipy/scipy/pull/5477>`__: BLD: add numpy to setup/install_requires for OS X wheels - - `#5479 <https://github.com/scipy/scipy/pull/5479>`__: ENH: return Jacobian/Hessian from BasinHopping - - `#5484 <https://github.com/scipy/scipy/pull/5484>`__: BUG: fix ttest zero division handling - - `#5486 <https://github.com/scipy/scipy/pull/5486>`__: Fix crash on kmeans2 - - `#5491 <https://github.com/scipy/scipy/pull/5491>`__: MAINT: Expose parallel build option to runtests.py - - `#5494 <https://github.com/scipy/scipy/pull/5494>`__: Sort OptimizeResult.__repr__ by key - - `#5496 <https://github.com/scipy/scipy/pull/5496>`__: DOC: update the author name mapping - - `#5497 <https://github.com/scipy/scipy/pull/5497>`__: Enhancement to binned_statistic: option to unraveled returned... - - `#5498 <https://github.com/scipy/scipy/pull/5498>`__: BUG: sparse: fix a bug in sparsetools input dtype resolution - - `#5500 <https://github.com/scipy/scipy/pull/5500>`__: DOC: detect unprintable characters in docstrings - - `#5505 <https://github.com/scipy/scipy/pull/5505>`__: BUG: misc: Ensure fromimage converts mode 'P' to 'RGB' or 'RGBA'. - - `#5514 <https://github.com/scipy/scipy/pull/5514>`__: DOC: further update the release notes - - `#5515 <https://github.com/scipy/scipy/pull/5515>`__: ENH: optionally disable fixed-point acceleration - - `#5517 <https://github.com/scipy/scipy/pull/5517>`__: DOC: Improvements and additions to the matrix_normal doc - - `#5518 <https://github.com/scipy/scipy/pull/5518>`__: Remove wrappers for LAPACK deprecated routines - - `#5521 <https://github.com/scipy/scipy/pull/5521>`__: TST: skip a linalg.orth memory test on 32-bit platforms. - - `#5523 <https://github.com/scipy/scipy/pull/5523>`__: DOC: change a few floats to integers in docstring examples - - `#5524 <https://github.com/scipy/scipy/pull/5524>`__: DOC: more updates to 0.17.0 release notes. - - `#5525 <https://github.com/scipy/scipy/pull/5525>`__: Fix to minor typo in documentation for scipy.integrate.ode - - `#5527 <https://github.com/scipy/scipy/pull/5527>`__: TST: bump arccosh tolerance to allow for inaccurate numpy or... - - `#5535 <https://github.com/scipy/scipy/pull/5535>`__: DOC: signal: minor clarification to docstring of TransferFunction. - - `#5538 <https://github.com/scipy/scipy/pull/5538>`__: DOC: signal: fix find_peaks_cwt documentation - - `#5545 <https://github.com/scipy/scipy/pull/5545>`__: MAINT: Fix typo in linalg/basic.py - - `#5547 <https://github.com/scipy/scipy/pull/5547>`__: TST: mark TestEig.test_singular as knownfail in master. - - `#5550 <https://github.com/scipy/scipy/pull/5550>`__: MAINT: work around lstsq driver selection issue - - `#5556 <https://github.com/scipy/scipy/pull/5556>`__: BUG: Fixed broken dogbox trust-region radius update - - `#5561 <https://github.com/scipy/scipy/pull/5561>`__: BUG: eliminate warnings, exception (on Win) in test_maskandscale;... - - `#5567 <https://github.com/scipy/scipy/pull/5567>`__: TST: a few cleanups in the test suite; run_module_suite and clearer... - - `#5568 <https://github.com/scipy/scipy/pull/5568>`__: MAINT: simplify poisson's _argcheck - - `#5569 <https://github.com/scipy/scipy/pull/5569>`__: TST: bump GMean test tolerance to make it pass on Wine - - `#5572 <https://github.com/scipy/scipy/pull/5572>`__: TST: lstsq: bump test tolerance for TravisCI - - `#5573 <https://github.com/scipy/scipy/pull/5573>`__: TST: remove use of np.fromfile from cluster.vq tests - - `#5576 <https://github.com/scipy/scipy/pull/5576>`__: Lapack deprecations - - `#5579 <https://github.com/scipy/scipy/pull/5579>`__: TST: skip tests of linalg.norm axis keyword on numpy <= 1.7.x - - `#5582 <https://github.com/scipy/scipy/pull/5582>`__: Clarify language of survival function documentation - - `#5583 <https://github.com/scipy/scipy/pull/5583>`__: MAINT: stats/tests: A bit of clean up. - - `#5588 <https://github.com/scipy/scipy/pull/5588>`__: DOC: stats: Add a note that stats.burr is the Type III Burr distribution. - - `#5595 <https://github.com/scipy/scipy/pull/5595>`__: TST: fix test_lamch failures on Python 3 - - `#5600 <https://github.com/scipy/scipy/pull/5600>`__: MAINT: Ignore spatial/ckdtree.cxx and .h - - `#5602 <https://github.com/scipy/scipy/pull/5602>`__: Explicitly numbered replacement fields for maintainability - - `#5605 <https://github.com/scipy/scipy/pull/5605>`__: MAINT: collection of small fixes to test suite - - `#5614 <https://github.com/scipy/scipy/pull/5614>`__: Minor doc change. - - `#5624 <https://github.com/scipy/scipy/pull/5624>`__: FIX: Fix interpolate - - `#5625 <https://github.com/scipy/scipy/pull/5625>`__: BUG: msvc9 binaries crash when indexing std::vector of size 0 - - `#5635 <https://github.com/scipy/scipy/pull/5635>`__: BUG: misspelled __dealloc__ in cKDTree. - - `#5642 <https://github.com/scipy/scipy/pull/5642>`__: STY: minor fixup of formatting of 0.17.0 release notes. - - `#5643 <https://github.com/scipy/scipy/pull/5643>`__: BLD: fix a build issue in special/Faddeeva.cc with isnan. - - `#5661 <https://github.com/scipy/scipy/pull/5661>`__: TST: linalg tests used stdlib random instead of numpy.random. - - `#5682 <https://github.com/scipy/scipy/pull/5682>`__: backports for 0.17.0 - - `#5696 <https://github.com/scipy/scipy/pull/5696>`__: Minor improvements to least_squares' docstring. - - `#5697 <https://github.com/scipy/scipy/pull/5697>`__: BLD: fix for isnan/isinf issues in special/Faddeeva.cc - - `#5720 <https://github.com/scipy/scipy/pull/5720>`__: TST: fix for file opening error in fftpack test_import.py - - `#5722 <https://github.com/scipy/scipy/pull/5722>`__: BUG: Make curve_fit respect an initial guess with bounds - - `#5726 <https://github.com/scipy/scipy/pull/5726>`__: Backports for v0.17.0rc2 - - `#5727 <https://github.com/scipy/scipy/pull/5727>`__: API: Changes to least_squares API Checksums ========= MD5 ~~~ 5ff2971e1ce90e762c59d2cd84837224 scipy-0.17.0.tar.gz ef0949640ee73f845dde6dd7f84d7691 scipy-0.17.0.tar.xz 28a4fe29e980804db162524f10873211 scipy-0.17.0.zip SHA256 ~~~~~~ f600b755fb69437d0f70361f9e560ab4d304b1b66987ed5a28bdd9dd7793e089 scipy-0.17.0.tar.gz 2bc03ea36cd55bfd80869d87f690334b4cad240373e05857ddfa7a4d1e2f9a7a scipy-0.17.0.tar.xz ede6820030b2e5796126aa1571d86738b14bbd670d68c83378877b1d9eb9894d scipy-0.17.0.zip -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.11 (GNU/Linux) iQEcBAEBAgAGBQJWokWbAAoJEIp0pQ0zQcu+JUgH/16Qqurptl3jUU11+4pl+8ji 3AFZN+dgzGLyiMz9s+V+OyL4hcdZY4++WM2QizF5uD3hDDFNi+aJRHAYySMAZeIZ O8y//v+DXDVOLZpKwcPFq5E5ZebTDh1jO4zZzpuyi1PnKgTAEKZeSyBSMd0RMx/p kZ0URTcAa/tPgkNZz3+i8By9b/zBWOlbI+v6fCVwV8E20YWfGBSp2s0KAtQk787D Q88ylnc3Zfv4IR1hgCFZz6oJA0RgmpH4USKi7guyg+fIKjf1nFe64zIuV3C2r/Uj y9Qbs/8x/HTteDp5owkRiSwnpTZHOtx/jqeh2z/w9aQe0i8Nag5Ere6JZ2kixG4= =jZUn -----END PGP SIGNATURE-----

2 2

ENH: spherical Voronoi diagrams #5232
by Tyler Reddy 14 Feb '16

14 Feb '16

Hello, Nikolai and I have done the best we can with this pull request ( https://github.com/scipy/scipy/pull/5232). As it adds an entirely new functionality, an extra set of eyes to look it over would be much appreciated. The test coverage is > 90% and a large number of maintainer requests have been satisfied since Sept. 2015. One of the biggest challenges with the spherical Voronoi diagram on a sphere algorithm addition is the apparent lack of open source alternative implementations--this simultaneously increases the value of the contribution and makes it more difficult to verify its quality. Also, I think the mailing list may have been having issues when the initial emails were sent out. Thanks a lot! Tyler

2 1

win32 binaries and scipy 0.17.0 release
by Evgeni Burovski 14 Feb '16

14 Feb '16

Hi, Here's a proposal to follow the numpy lead (https://mail.scipy.org/pipermail/numpy-discussion/2015-December/074422.html) and stop providing the official binaries for 32-bit windows. The reasons are basically the same as for numpy: these binaries contain BLAS/LAPACK which is necessarily lower quality than what's available from Christoph Gohlke/Canopy/Anaconda; they do not and cannot support python 3.5; the build toolchain is currently broken and to the best of my knowledge nobody knows how to fix it. With regards to the scipy 0.17.0 release, win32 problems are responsible for delaying the release for almost a month (OK, the original schedule was too optimistic, but still). The alternatives, as I see them, are: * stop providing the windows binaries (until a MinGW-64 based toolchain is ready, but this is separate) and make the release. * release 0.17.0 with only python 3.4 binaries available (this is the only python version I can build the binaries which do not segfault immediately :-)) * delay the release with no ETA and no clear path forward. Thoughts? Evgeni

11 45

ENH: addition of Rankine conversions in constants #5292
by Gilles Aouizerate 13 Feb '16

13 Feb '16

Hello Scipy developers, I recently committed a little enhancement of the scipy.constants module that dealt with temperature conversions between the Rankine scale and other scales (see #5292). It seems to me that this capability would be useful since many scientists and engineers (sadly) keep using the Rankine temperature scale, especially in thermodynamics. Rgommers answered that this was not a bad idea in principle, but that it would make the code kind of too heavy: too many temperature conversion functions in the module. Therefore he suggested adding a single function of the kind convert_temperature(value, old_scale, new_scale) rather than the several current functions. What do you think about that? If there is a consensus I could take care of that. cheers, Gilles

2 1

Participation as Developer fro SciPy
by aman kumar singh 11 Feb '16

11 Feb '16

Developers, I am Aman Kumar Singh,Senior Year,NIT Mizoram,India(Computer Science and Engineering).I am new to open source development. I like coding especially in Python and C++.I have 3 years of working experience in Python.I am very much interested in contributing to open source development especially in SciPy.I want to apply for Google Summer of Code 2016 in future.Can somebody help me out.I am ready to dedicate my full time to it once I get aware of the system fixing bugs and further contributing to big projects. I am left with very less time for GSoC and this time I want to be part of it.Please help me out. Thanking you, Aman Kumar Singh, NIT Mizoram, India

2 1

NumPy 1.11.0b3 released.
by Charles R Harris 10 Feb '16

10 Feb '16

Hi All, I'm pleased to announce the release of NumPy 1.11.0b3. This beta contains additional bug fixes as well as limiting the number of FutureWarnings raised by assignment to masked array slices. One issue that remains to be decided is whether or not to postpone raising an error for floats used as indexes. Sources may be found on Sourceforge <https://sourceforge.net/projects/numpy/files/NumPy/1.11.0b3/> and both sources and OS X wheels are availble on pypi. Please test, hopefully this will be that last beta needed. As a note on problems encountered, twine uploads continue to fail for me, but there are still variations to try. The wheeluploader downloaded wheels as it should, but could not upload them, giving the error message "HTTPError: 413 Client Error: Request Entity Too Large for url: https://www.python.org/pypi". Firefox also complains that http://wheels.scipy.org is incorrectly configured with an invalid certificate. Enjoy, Chuck

1 0