Mailman 3 April 2012 - NumPy-Discussion

Trac configuration tweak
by Pauli Virtanen April 3, 2012

April 3, 2012

Hi, I moved projects.scipy.org Tracs to run on mod_python (instead of CGI), in order to try to combat the present performance issues. Let's see if this helps with the "database is locked" problem. Please drop me a message if something stops working. Pauli

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One question about the numpy.linalg.eig() routine
by Hongbin Zhang April 3, 2012

April 3, 2012

Dear Python-users, I am currently very confused about the Scipy routine to obtain the eigenvectors of a complex matrix.In attached you find two files to diagonalize a 2X2 complex Hermitian matrix, however, on my computer, If I run python, I got: [[ 0.80322132+0.j 0.59500941+0.02827207j] [-0.59500941+0.02827207j 0.80322132+0.j ]] If I compile the fortran code, I got: ( -0.595009410289, -0.028272068905) ( 0.802316135182, 0.038122316497) ( -0.803221321796, 0.000000000000) ( -0.595680709955, 0.000000000000) >From the scipy webpage, it is said that numpy.linalg.eig() provides nothing butan interface to lapack zheevd subroutine, which is used in my fortran code. Would somebody be kind to tell me how to get consistent results? Many thanks in advance. Best wishes, Hongbin Ad hoc, ad loc and quid pro quo --- Jeremy Hilary Boob

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(no subject)
by Jean-Baptiste Rudant April 3, 2012

April 3, 2012

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Style for pad implementation in 'pad' namespace or functions under np.lib
by Tim Cera April 3, 2012

April 3, 2012

I have been developing a set of pad functions to pad arrays in different ways. Really close to having it accepted into numpy, but I want to revisit an implementation issue that I have become worried about. Should these functions be collected into a 'pad' namespace or put raw into np.lib? Do I really care about this? Not really since it isn't a utility issue, but I contend that it would look better to pull these functions into their own namespace. Is there a consensus? The current pull request: https://github.com/numpy/numpy/pull/242 Kindest regards, Tim

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(no subject)
by Jean-Baptiste Rudant April 2, 2012

April 2, 2012

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ndarray sub-classing and append function
by Prashant Saxena April 2, 2012

April 2, 2012

Hi, I am sub-classing numpy.ndarry for vector array representation. The append function is like this: def append(self, other): self = numpy.append(self, [other], axis=0) Example: vary = VectorArray([v1, v2]) #vary = numpy.append(vary, [v1], axis=0) vary.append(v1) The commented syntax (numpy syntax) is working but "vary.append(v1)" is not working. Any help? Cheers Prashant

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[ANN] Bento 0.0.8.1
by David Cournapeau April 1, 2012

April 1, 2012

Hi, I am pleased to announce a new release of bento, a packaging solution for python which aims at reproducibility, extensibility and simplicity. The main features of this 0.0.8.1 release are: - Path sections can now use conditionals - More reliable convert command to migrate distutils/setuptools/distribute/distutils2 setup.py to bento - Single-file distribution can now include waf itself - Nose is not necessary to run the test suite anymore - Significant improvements to the distutils compatibility layer - LibraryDir support for backward compatibility with distutils packages relying on the package_dir feature Bento source code can be found on github: https://github.com/cournape/Bento Bento documentation is there as well: https://cournape.github.com/Bento regards, David

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ANN: Spyder v2.1.9
by Pierre Raybaut April 1, 2012

April 1, 2012

Hi all, On the behalf of Spyder's development team (http://code.google.com/p/spyderlib/people/list), I'm pleased to announce that Spyder v2.1.9 has been released and is available for Windows XP/Vista/7, GNU/Linux and MacOS X: http://code.google.com/p/spyderlib/ This is a pure maintenance release -- a lot of bugs were fixed since v2.1.8: http://code.google.com/p/spyderlib/wiki/ChangeLog Spyder is a free, open-source (MIT license) interactive development environment for the Python language with advanced editing, interactive testing, debugging and introspection features. Originally designed to provide MATLAB-like features (integrated help, interactive console, variable explorer with GUI-based editors for dictionaries, NumPy arrays, ...), it is strongly oriented towards scientific computing and software development. Thanks to the `spyderlib` library, Spyder also provides powerful ready-to-use widgets: embedded Python console (example: http://packages.python.org/guiqwt/_images/sift3.png), NumPy array editor (example: http://packages.python.org/guiqwt/_images/sift2.png), dictionary editor, source code editor, etc. Description of key features with tasty screenshots can be found at: http://code.google.com/p/spyderlib/wiki/Features On Windows platforms, Spyder is also available as a stand-alone executable (don't forget to disable UAC on Vista/7). This all-in-one portable version is still experimental (for example, it does not embed sphinx -- meaning no rich text mode for the object inspector) but it should provide a working version of Spyder for Windows platforms without having to install anything else (except Python 2.x itself, of course). Don't forget to follow Spyder updates/news: * on the project website: http://code.google.com/p/spyderlib/ * and on our official blog: http://spyder-ide.blogspot.com/ Last, but not least, we welcome any contribution that helps making Spyder an efficient scientific development/computing environment. Join us to help creating your favourite environment! (http://code.google.com/p/spyderlib/wiki/NoteForContributors) Enjoy! -Pierre

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