Mailman 3 February 2006 - SciPy-User

installation on fedora core 4 x86_64
by Derrick Snowden Feb. 13, 2006

Feb. 13, 2006

Hi all, I'm not having much luck installing numpy with atlas although I am able to install numpy alone. Attached is my site.cfg file and the location of my atlas libraries is shown below. > locate atlas | grep lib /usr/lib64/atlas /usr/lib64/atlas/libf77blas.so.3.0 /usr/lib64/atlas/libatlas.so.3 /usr/lib64/atlas/libatlas.so.3.0 /usr/lib64/atlas/libblas.so.3 /usr/lib64/atlas/libblas.so.3.0 /usr/lib64/atlas/libcblas.so.3 /usr/lib64/atlas/libcblas.so.3.0 /usr/lib64/atlas/libf77blas.so.3 /usr/lib64/atlas/liblapack.so.3.0 /usr/lib64/atlas/liblapack.so.3 /usr/lib64/atlas/liblapack_atlas.so.3 /usr/lib64/atlas/liblapack_atlas.so.3.0 I'm following the directions below, except I already have atlas installed. I just can't make the installation scripts see them. http://pong.tamu.edu/tiki/tiki-view_blog_post.php?blogId=6&postId=97 Any ideas would be appreciated. Thanks, Derrick -- Derrick Snowden PhOD/AOML/NOAA 4301 Rickenbacker Causeway Miami, FL 33149 Office: 305.361.4322 Fax: 305.361.4392

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Octtree / Quadtree
by Jelle Feringa / EZCT Architecture & Design Research Feb. 13, 2006

Feb. 13, 2006

Dear Group, Is anyone aware of an efficient Octree and / or Quadtree implemention based on either Numpy, Numarray or Numeric? Both do exists in some very rudimentary form (octtree->twistedmatrix/quadtree->pygame), but are crude and slow implementations. Cheers, -jelle

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Re: [SciPy-user] New Lyx Version eas(ier) to install on Windows.
by Howey, David A Feb. 13, 2006

Feb. 13, 2006

Thanks for all the tips everyone! Sorry to have caused a storm. Let's consider it subject closed now. I'll give both lyx and latex a try and see which one takes my fancy for what I need it for. Cheers Dave

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ANN: first release of IVuPy-0.1
by Gerard Vermeulen Feb. 13, 2006

Feb. 13, 2006

I am proud to announce IVuPy-0.1 (I-View-Py). IVuPy is a Python extension module developed to write Python programs for 3D visualization of large data sets using Qt and PyQt. Python is extended by IVuPy with more than 600 classes of two of the Coin3D C++ class libraries: Coin and SoQt. Coin is compatible with the Open Inventor API. Open Inventor is an object-oriented 3D toolkit built on OpenGL that provides a 3D scene database, a built-in event model for user interaction, and the ability to print objects and exchange data with other graphics formats. The SoQt library interfaces Coin to Qt. See http://www.coin3d.org for more information on Coin3D. IVuPy requires at least one of the Numerical Python extension modules: NumPy, Numeric, or numarray (IVuPy works with all of them at once). Data transfer between the Numerical Python arrays and the Coin data structures has been implemented by copying. The design of the Open Inventor API favors ease of use over performance. The API is a natural match for Python, and in my opinion it is fun to program with IVuPy. The performance penalty of the design choice is small. The first example at http://ivupy.sourceforge.net/examples.html demonstrates this: NumPy calculates a surface with a million nodes in 1.7 seconds and Coin3D redisplays the surface in 0.3 seconds on my Linux system with a 3.6 GHz Pentium and a nVidea graphics card (NV41.1). The Inventor Mentor ( http://www.google.com/search?q=inventor+mentor ) is essential for learning IVuPy. The IVuPy documentation supplements the Inventor Mentor. IVuPy includes all C++ examples from the Inventor Mentor and their Python translations. There are also more advanced examples to show the integration of IVuPy and PyQt. IVuPy has been used for almost 6 months on Linux and Windows in the development of a preprocessor for a finite element flow solver and has been proven to be very stable. Prerequisites for IVuPy are: - Python-2.4.x or -2.3.x - at least one of NumPy, numarray, or Numeric - Qt-3.3.x, -3.2.x, or -3.1.x - SIP-4.3.x or -4.2.1 - PyQt-3.15.x or -3.14.1 - Coin-2.4.4 or -2.4.3 - SoQt-1.3.0 or -1.2.0 IVuPy is licensed under the terms of the GPL. Contact me, if the GPL is an obstacle for you. http://ivupy.sourceforge.net is the home page of IVuPy. Have fun -- Gerard Vermeulen

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Conversion of scipy array to numarray array
by Lo Marcus Feb. 13, 2006

Feb. 13, 2006

I am trying to convert a scipy array to numarray, without success. What I do is the following: data = scipy.asarray(pyfits.getdata('j6mi10021_crj.fits', 'sci')) nadata = numarray.asarray(data) >>> import scipy >>> import numarray >>> import pyfits >>> data = scipy.asarray(pyfits.getdata('j6mi10021_crj.fits', 'sci')) >>> nadata = numarray.asarray(data) >>> print data [[ 22.37952614 10.05145359 21.6661377 ..., 11.43289948 5.52833033 17.19585037] [ 24.8036232 -6.39581585 12.05591202 ..., -10.39195728 3.03895354 8.70327473] [ 5.82899857 14.48854351 11.53882504 ..., 12.11074352 20.28095627 20.44524193] ..., [ 19.73381042 28.00988197 25.39971733 ..., -1.82318735 2.51478434 10.70707226] [ 24.23790932 -2.87376475 18.93963051 ..., 7.07922268 3.27009034 10.84160519] [ 1.5277524 19.00962639 26.82912445 ..., 3.01001763 12.66541958 5.03601742]] >>> print nadata [[ 2.20320337e+03 -2.62657490e+01 3.32307458e+00 ..., 2.63358146e-14 9.39821272e-26 6.01923401e-23] [ -2.55308349e+11 -6.42477458e-35 5.38966492e-36 ..., 2.49919068e+32 1.51550048e-05 -2.54168066e-21] [ 1.50687839e-14 5.28608336e-27 2.39567241e-34 ..., -3.26330855e-22 2.26241264e+23 -8.08608425e+16] ..., [ -1.95813585e+15 3.63466777e-02 -3.78610938e-20 ..., 2.07603975e-07 1.84727460e-03 7.39564714e-13] [ 1.13161571e-01 -4.70435547e+02 1.19427208e+18 ..., -9.09748823e+37 4.47014387e-14 1.47328838e-05] [ 2.09204790e+22 -8.79733216e-06 2.50890015e-31 ..., 1.11300791e-18 -1.62988577e-29 2.06619783e-30]] data is an 1024 x 1024 float32 array. It doesn't have any problem in small array, as I have tested it by hand. And if I deliberately use float64 array, there is no problem. I have installed the latest numarray(1.5.1) and scipy(0.4.5.1598)/numpy(0.9.5.2055) package. Marcus Lo

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Web site down?
by Matthew Brett Feb. 13, 2006

Feb. 13, 2006

Hi, Is anyone else getting a error connecting to http://www.scipy.org? 502 Bad Gateway: The proxy server received an invalid response from an upstream server. Matthew

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from scipy.sandbox import xplt
by Jens Brandenburg Feb. 12, 2006

Feb. 12, 2006

Hi, after successfull numpy+scipy installation (svn co @ 11.02.2006) I was not able to import xplt... In [1]: from scipy.sandbox import xplt --------------------------------------------------------------------------- exceptions.ImportError Traceback (most recent call last) /home/jens-home/<ipython console> ImportError: cannot import name xplt What could be the problem??? cheers Jens Brandenburg

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segfault when calling PyArray_DescrFromType
by Martin Wiechert Feb. 11, 2006

Feb. 11, 2006

Hi list, I'm trying to build an C extension, which uses arrays. It builds, and I can import it from python, but the very first call to a numpy function ea = (PyObject *) PyArray_DescrFromType (PyArray_INT); gives me a segfault. I have absolutely no clue, but nm -l mymodule.so | grep rray gives 000026a0 b PyArray_API /usr/lib/python2.4/site-packages/numpy/core/include/numpy/__multiarray_api.h:316 and this line reads static void **PyArray_API=NULL; which looks suspicious to me. Something wrong with my setup.py? Any suggestions? Regards, Martin.

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Re: [SciPy-user] SciPy tutorial update
by Joe Harrington Feb. 11, 2006

Feb. 11, 2006

Dave, great work. Boy, I hope that Section 8 is machine-generated! I just posted a long message to numpy-discussion about workflow on the web site. Rather than cross-posting, I'll just summarize, and refer folks to the archives for the full argument. The basic idea is, initially post a project in Developer_Zone. When it is at the 1.0 stage, link it under the appropriate main-site page. When it's mature and/or you are no longer looking for help, delete it from Developer_Zone. The decision of when to take each step is yours/the community's. I'd hope big projects would post a message to scipy-dev (and possibly the other lists as well) soliciting reviews before linking to the main site, and after doing major revisions. The idea is to keep the main site clean enough of "under construction" notices that it doesn't scare away non-expert users, and to attract contributors to help out on projects that are in their growth stages. So, post it in DevZone right away. Since we don't have much current documentation, I think you should link it into the Documentation page as well as soon as someone can give it a positive review. My main concern would be to have someone on a different box test all the examples, from the installations up. --jh--

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Re: [SciPy-user] New Lyx Version eas(ier) to install on Windows.
by Howey, David A Feb. 10, 2006

Feb. 10, 2006

I like Lyx, but one of my colleagues said to me 'why don't you just use latex directly? It's not that difficult'... So I tried latex (with winedt) and it runs just fine. I still haven't quite got my head around how Lyx and latex work together. For example, if I use lyx can I hack the latex code easily? Dave -----Original Message----- From: scipy-user-bounces(a)scipy.net [mailto:scipy-user-bounces@scipy.net] On Behalf Of Travis Oliphant Sent: 02 September 2005 22:32 To: SciPy Users List; SciPy Developers List Subject: [SciPy-user] New Lyx Version eas(ier) to install on Windows. There is a new Lyx Version that works on Windows quite well -- windows is now officially supported. So, those of you who have been hesitant to try LyX because it supposedly doesn't work on Windows, have no more excuse ;-) An executable installer is available at http://www.lyx.org The setup process guides you through the other programs that are needed (ImageMagick, Ghostscript, a minimal shell like minsys, Python, and optionally Perl) to run lyx well. -Travis _______________________________________________ SciPy-user mailing list SciPy-user(a)scipy.net http://www.scipy.net/mailman/listinfo/scipy-user

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