NumPy-Discussion October 2006

numpy-discussion@python.org

186 participants
250 discussions

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by to manage 29 Oct '06

29 Oct '06

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ANN: PyQwt3D-0.1.2
by Gerard Vermeulen 29 Oct '06

29 Oct '06

What is PyQwt3D? - it is a set of Python bindings for the QwtPlot3D C++ class library which extends the Qt framework with widgets for 3D data visualization. PyQwt3D inherits the snappy feel from QwtPlot3D. The examples at http://pyqwt.sourceforge.net/pyqwt3d-examples.html show how easy it is to make a 3D plot and how to save a 3D plot to an image or an (E)PS/PDF file. - it requires and extends PyQt, a set of Python bindings for Qt. - it supports the use of PyQt, Qt, Qwt, the Numerical Python extensions (any combination of NumPy, numarray, and numarray) and optionally SciPy in a GUI Python application or in an interactive Python session. - it runs on POSIX, Mac OS X and Windows platforms (practically any platform supported by Qt and Python). New features: - support for Python-2.5 (requires PyQt and SIP snapshots or the future PyQt-3.17, PyQt-4.1 and SIP-4.5) - support for Qt-4.2.x and -4.1.x - support for NumPy-1.0, see http://numpy.scipy.org - PyQwt3D.OpenGL gives access to a small subset of the OpenGL API - EnrichmentDemo.py example demonstrates PyQwt3D.OpenGL The home page of PyQwt3D is http://pyqwt.sourceforge.net. PyQwt3D-0.1.2 requires: 1. Python-2.5.x,-2.4.x, or -2.3. 2. PyQt-4.0.x, or -3.16.x (or the future PyQt-4.1 or PyQt-3.17) 3. SIP-4.4.x (or the future SIP-4.5) 4. Qt-4.2.x, Qt-4.1.x, Qt-3.3.x, or -3.2.x. 5. QwtPlot3D-0.2.6. Have fun -- Gerard Vermeulen ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642

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pyaudio, a module to make noise from numpy arrays
by David Cournapeau 29 Oct '06

29 Oct '06

Hi, I announce the first release of pyaudio, a module to make noise from numpy arrays (read, write and play audio files with numpy arrays). * WHAT FOR ?: The Goal is to give to a numpy/scipy environmenet some basic audio IO facilities (ala sound, wavread, wavwrite of matlab). With pyaudio, you should be able to read and write most common audio files from and to numpy arrays. The underlying IO operations are done using libsndfile from Erik Castro Lopo (http://www.mega-nerd.com/libsndfile/), so he is the one who did the hard work. As libsndfile has support for a vast number of audio files (including wav, aiff, but also htk, ircam, and flac, an open source lossless codec), pyaudio enables the import from and export to a fairly large number of file formats. There is also a really crude player, which uses tempfile to play audio, and which only works for linux-alsa anyway. I intend to add better support at least for linux, and for other platforms if this does not involve too much hassle. So basically, if you are lucky enough to use a recent linux system, pyaudio already gives you the equivalent of wavread, wavwrite and sound. * DOWNLOAD: http://www.ar.media.kyoto-u.ac.jp/members/david/pyaudio.tar.gz * INSTALLATION INSTRUCTIONS: Just untar the package and drop it into scipy/Lib/sandbox, and add the two following lines to scipy/Lib/sandbox/setup.py: # Package to make some noise using numpy config.add_subpackage('pyaudio') (if libsndfile.so is not in /usr/lib, a fortiori if you are a windows user, you should also change set the right location for libsndfile in pyaudio/pysndfile.py, at the line _snd.cdll.LoadLibrary('/usr/lib/libsndfile.so') ) * EXAMPLE USAGE == Reading example == # Reading from '/home/david/blop.flac' from scipy.sandbox.pyaudio import sndfile a = sndfile('/home/david/blop.flac') print a tmp = a.read_frames_float(1024) --> Prints: File : /home/david/blop.flac Sample rate : 44100 Channels : 2 Frames : 9979776 Format : 0x00170002 Sections : 1 Seekable : True Duration : 00:03:46.298 And put into tmp the 1024 first frames (a frame is the equivalent of a sample, but taking into account the number of channels: so 1024 frames gives you 2048 samples here). == Writing example == # Writing to a wavfile: from scipy.sandbox.pyaudio import sndfile import numpy as N noise = N.random.randn((44100)) a = sndfile('/home/david/blop.flac', sfm['SFM_WRITE'], sf_format['SF_FORMAT_WAV'] | sf_format['SF_FORMAT_PCM16'], 1, 44100) a.write_frames(noise, 44100) a.close() -> should gives you a lossless compressed white noise ! This is really a first release, not really tested, not much documentation, I can just say it works for me. I haven't found a good way to emulate enumerations, which libsndfile uses a lot, so I am using dictionaries generated from the library C header to get a relation enum label <=> value. If someone has a better idea, I am open to suggestions ! Cheers, David

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A recarray of arrays
by Pierre GM 29 Oct '06

29 Oct '06

Folks, What is the easiest way to define a recarray of arrays ? For example, I'd need something like that: Given three arrays >>> x = N.arange(5) >>> y = x+1 >>> z = N.sqrt(x) and a list of names: >>> n = ['x','y','z'] Define a 3-record array with two fields: the first one being a ndarray (in x, y or), the second a string (in n). I'm a bit at loss with the definition of the corresponding dtype... ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642

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VISA Update
by service＠visa.com 28 Oct '06

28 Oct '06

------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion(a)lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion

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by life.We an 28 Oct '06

28 Oct '06

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EXCEL和PPT在企业管理是的高级应用
by "11月4-5日/北京" 28 Oct '06

28 Oct '06

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adding an attribute to an nd-array
by Stefan van der Walt 28 Oct '06

28 Oct '06

A quick question on extending numpy arrays: is it possible to easily add an attribute to an ndarray? With Python-defined classes one can do class X(object): pass x = X() x.foo = 'bar' but with ndarrays you get x = N.array([1,2,3]) x.foo = 'bar' AttributeError: 'numpy.ndarray' object has no attribute 'foo' Is there an easy way around this (without writing a C extension)? Thanks for any advice. Stéfan ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642

10 16

NumPy on Intel C/MKL
by Albert Strasheim 28 Oct '06

28 Oct '06

Hello all I managed to get NumPy to compile with the free for non-commercial use Linux versions of the Intel C compiler, version 9.1 and Intel MKL 8.1. Instructions at the bottom of this page: http://www.scipy.org/Installing_SciPy/Linux I ran the NumPy test suite, and it turned up a few test failures in test_ufunclike -- it seems the Intel C/MKL combo comes up with different answers for the sign of NaN. Compiling with -Wall turned up a few warnings, but nothing too serious. I submitted a ticket for the ones that seem easily fixable and might warrant a quick look: http://projects.scipy.org/scipy/numpy/ticket/366 I recently started building some of my other C code on Windows with the Intel compiler, and the speed increases in my application are quite dramatic. The Intel code is about 4 times faster than the code produced by Visual Studio .NET 2003. I suspect the speed increase is due to some loop vectorization. When compiling NumPy on Linux, some interesting messages pop up: numpy/core/src/arraytypes.inc.src(658) : (col. 9) remark: LOOP WAS VECTORIZED. numpy.distutils doesn't seem to support the Intel compiler on Windows, but if you have other C code lying around, you can easily use SCons to compile it with the Intel compiler (Intel offers 30-day evaluation versions of most of their products). Have fun! Cheers, Albert ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642

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Sorting eigenvalues and vectors together
by jeremito 28 Oct '06

28 Oct '06

I am using a = numpy.linalg.eig(A) to get the eigenvalues and eigenvectors. I am interested only in the largest eigenvalue so I would like to sort the first element of a. But if I do that, I won't know what is the associated eigenvector. Is there a function that will sort the values and vectors together or do I need to write it myself. Thanks, Jeremy ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642

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NumPy-Discussion October 2006