Mailman 3 May 2019 - NumPy-Discussion

Keep __array_function__ unexposed by default for 1.17?
by Marten van Kerkwijk 23 May '19

23 May '19

Hi All, For 1.17, there has been a big effort, especially by Stephan, to make __array_function__ sufficiently usable that it can be exposed. I think this is great, and still like the idea very much, but its impact on the numpy code base has gotten so big in the most recent PR (gh-13585) that I wonder if we shouldn't reconsider the approach, and at least for 1.17 stick with the status quo. Since that seems to be a bigger question than can be usefully addressed in the PR, I thought I would raise it here. Specifically, now not only does every numpy function have its dispatcher function, but also internally all numpy function calls are being done via the new `__skip_array_function__` attribute, to avoid further overrides. I think both changes make the code significantly less readable, thus, e.g., making it even harder than it is already to attract new contributors. I think with this it is probably time to step back and check whether the implementation is in fact the right one. For instance, among the alternatives we originally considered was one that had the overridable versions of functions in the regular `numpy` namespace, and the once that would not themselves check in a different one. Alternatively, for some of the benefits provided by `__skip_array_function__`, there was a different suggestion to have a special return value, of `NotImplementedButCoercible`. Might these be better after all? More generally, I think we're suffering from the fact that several of us seem to have rather different final goals in mind In particular, I'd like to move to a state where as much of the code as possible makes use of the simplest possible implementation, with only a few true base functions, so that all but those simplest functions will generally work on any type of array. Others, however, worry much more about making implementations (even more) part of the API. All the best, Marten

5 10

Converting np.sinc into a ufunc
by Sebastian Berg 23 May '19

23 May '19

Hi all, there is an open PR (https://github.com/numpy/numpy/pull/12924) to convert `np.sinc` into a ufunc. Since it should improve general precision in `np.sinc`, I thought we could try to move that forward a bit. We check whether this is worth it or not in the end. However, it would also change behaviour slightly since `np.sinc(x=arr)` will not work, as ufuncs are positional arguments only (we could wrap `sinc`, but that hides all the nice features). Otherwise, there should be no change except additional features of ufuncs and the move to a C implementation. This is mostly to see if anyone is worried about possible slight API change here. All the Best, Sebastian

8 11

[ANN] SolarUtils-0.3 released - wrappers for NREL SOLPOS and SPECTRL2 algorithms
by Mark Mikofski 23 May '19

23 May '19

This update adds two convenience functions: 1. get_solposAM(location, datetimes, weather) - returns solar positions and airmass for arbitrary sequence of datetime vectors [year, month, day, hour, minute second]. 2. get_solpos8760(location, year, weather) - returns 8760 annyual hourly solar position and airmass for given year. For example: >>> location = [35.56836, -119.2022, -8.0]>>> datetimes = [... (datetime.datetime(2013, 1, 1, 0, 0, 0)... + datetime.timedelta(hours=h)).timetuple()[:6]... for h in range(1000)]>>> weather = [1015.62055, 40.0]>>> angles, airmass = get_solposAM(location, datetimes, weather) For more info, please see: - docs: https://sunpower.github.io/SolarUtils/ - repo: https://github.com/SunPower/SolarUtils - pypi: https://pypi.org/project/SolarUtils/ Thanks! -- Mark Mikofski, PhD (2005) *Fiat Lux*

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Community Call -- May 22 (New time / platform)
by Tyler Reddy 22 May '19

22 May '19

Hi, Starting from this week, the community meetings will be at a new time (11 am Pacific Time) and on a new meeting platform (see the linked doc). Anyone is free to join and edit the work-in-progress meeting notes: https://hackmd.io/bQoK2wuaQV2hJSVuoBUUtg?view Best wishes, Tyler

2 1

Proposed change in construction of structured dtypes with a shape-(1, ) field
by Antony Lee 20 May '19

20 May '19

In #13112/#13326, I proposed to change the semantics of constructing structured dtypes with a shape-(1,) field (with a deprecation period). Currently, a construct like `np.empty(1, ("a", int, 1))` is treated as a shape-() field, i.e. the same as `np.empty(1, ("a", int))`; the PR proposes to (ultimately) change it to mean using a shape-(1,) field, i.e. `np.empty(1, ("a", int, 1))`. This is consistent e.g. with `np.empty(1, ("a", int, 2))` being equivalent to `np.empty(1, ("a", int, (2,)))` and more generally with numpy accepting a scalar integer n to mean shape-(n,) in many places (e.g. `np.zeros(3)` and `np.zeros((3,))`). Thoughts? Antony

2 1

Re: [Numpy-discussion] GSoD - Technical Writter
by Dashamir Hoxha 19 May '19

19 May '19

On Fri, May 17, 2019 at 2:54 PM Ralf Gommers <ralf.gommers(a)gmail.com> wrote: > Hi Dashamir, > > Thank you for your email and interest in NumPy and SciPy. I'm excited > about this program and opportunity to work with a technical writer. Please > rest assured that we do not assume or expect you to be familiar with the > project already. The scipy.stats idea we included in case someone would be > familiar with it and wanted to work at the individual module level. > Personally I think the most important and impactful thing though is to > shape the structure of our documentation content. For that it's not > necessarily an advantage to know numpy or scipy well - fresh eyes can be > helpful. And in general, I'd say we have lots of people that can provide > pieces of content; the ability to create the right framework/structure to > effectively place and solicit that content is what we habe been missing. > > If you look at the NumPy and SciPy documentation, you will see that the > reference guides (which are aimed at experienced users) are very large. The > user guides (for beginning users) and the overall structuring could really > benefit from a good technical writer. > Thanks for your encouraging message, Ralf. Something that I can notice immediately is that the interface of the docs looks a bit outdated and maybe it can benefit from an update (or replacing it with another template), in order to make it a bit more responsive. It is true that when you program you usually work on a big screen, so a responsive web page may not be an absolute requirement, but still it may be nice to be able to read the docs from a tablet or smartphone. Unfortunately I am not familiar yet with Sphinx, but I hope that it can be integrated with Jekyll or Hugo, and then one of their templates can be used. About the content of the User Guide etc. I don't see any obvious improvement that is needed (maybe because I have not read them yet). One thing that may help is making the code examples interactive, so that the readers can play with them and see how the results change. For example this may be useful: https://github.com/RunestoneInteractive/RunestoneComponents The two changes that I have suggested above seem more like engineering work (for improving the documentation infrastructure), than documentation work. For making a content that can be easily grasped by the beginners, I think that it should be presented as a series of problems and their solutions. In other words don't show the users the features and their details, but ask them to solve a simple problem, and then show them how to solve it with NumPy/SciPy and its features. This would make it more attractive because people usually don't like to read manuals from beginning to the end. This is a job that can be done by the teachers for their students, having in mind the level of their students and what they actually want them to learn. I have noticed that there are already some lectures, or books, or tutorials like this. This is a creative work, with a specific target audience in mind, so I can't pretend that I can possibly do something useful about this in a short time (2-3 months). But of course the links to the existing resources can be made more visible and reachable from the main page of the website. Best regards, Dashamir

3 2

Swig typemaps for inplace fortran arrays
by John McFarland 18 May '19

18 May '19

Hi, In numpy.i, I’m looking at the typemaps for inplace Fortran arrays, for example: Typemap suite for (DATA_TYPE* INPLACE_FARRAY2, DIM_TYPE DIM1, DIM_TYPE DIM2) The typemap code (e.g. line 1579) uses the require_contiguous function for error checking, but I think maybe this is supposed to be require_c_or_f_contiguous? Otherwise, if the provided numpy array is in Fortran order, it will fail require_contiguous and generate a TypeError. (For what it’s worth, I pulled down the latest numpy.i from github and was doing some testing with numpy 1.13.3 under Python 2.7.16.) Thanks, John

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ANN: SciPy 1.3.0
by Tyler Reddy 18 May '19

18 May '19

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 Hi all, On behalf of the SciPy development team I'm pleased to announce the release of SciPy 1.3.0. Sources and binary wheels can be found at: https://pypi.org/project/scipy/ and at: https://github.com/scipy/scipy/releases/tag/v1.3.0 One of a few ways to install this release with pip: pip install scipy==1.3.0 ========================== SciPy 1.3.0 Release Notes ========================== 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.optimize` changes --------------------------------- The default method for ``linprog`` is now ``'interior-point'``. The method's robustness and speed come at a cost: solutions may not be accurate to machine precision or correspond with a vertex of the polytope defined by the constraints. To revert to the original simplex method, include the argument ``method='simplex'``. `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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2 1

[ANN] PVMismatch v4.1: Python tools for photovoltaic IV curve modeling
by Mark Mikofski 17 May '19

17 May '19

PVMismatch-4.1 has been released Release Notes: https://github.com/SunPower/PVMismatch/releases/tag/v4.1 PyPI: https://pypi.org/project/pvmismatch/ Docs: https://sunpower.github.io/PVMismatch/ GitHub: https://github.com/SunPower/PVMismatch -- Mark Mikofski, PhD (2005) *Fiat Lux*

1 0

[ANN] pvlib-python v0.6.3: predicting power for solar energy
by Mark Mikofski 17 May '19

17 May '19

pvlib-0.6.3 has been released What's New: https://pvlib-python.readthedocs.io/en/stable/whatsnew.html#v0-6-3-may-15-2… PyPI: https://pypi.org/project/pvlib/ Read the Docs: https://pvlib-python.readthedocs.io/en/latest/ GitHub: https://github.com/pvlib/pvlib-python -- Mark Mikofski, PhD (2005) *Fiat Lux*

1 0

NumPy-Discussion May 2019