Fernando was right on. Here is his response to me: Laptop - Ok Windows XP Professional, Service Pack 2 AMD Athlon 64 3400+ (ClawHammer) 1.67 GHz, 768 MB of RAM Chipset: SiS 755/755FX Southbridge: SiS LPC Bridge Instructions: MMX (+), 3DNow! (+), SSE, SSE2, x86-64
Machine 1 - Crashes Windows XP Professional, Service Pack 2 AMD Athlon XP 2000+ (Thoroughbred) 1.67 GHz, 768 MB of RAM ASUS A7V8X-X motherboard Chipset: VIA KT400 (VT8377) Southbridge: VIA VT8235 Instructions: MMX (+), 3DNow! (+), SSE Machine 2 - Crashes Windows XP Professional, Service Pack 2 AMD Athlon XP 2600+ (Barton) 1.92 GHz, 2.0 GB of RAM ASUS A7V880 motherboard Chipset: VIA KT880 Southbridge: VIA VT8237 Instructions: MMX (+), 3DNow! (+), SSE I ran the following statements on both machines which caused it to crash: import numpy numpy.test() Here is the output: Numpy is installed in C:\Python25\lib\site-packages\numpy Numpy version 1.0.4 Python version 2.5.1 (r251:54863, Apr 18 2007, 08:51:08) [MSC v.1310 32 bit (Int el)] Found 10/10 tests for numpy.core.defmatrix Found 36/36 tests for numpy.core.ma Found 223/223 tests for numpy.core.multiarray Found 65/65 tests for numpy.core.numeric Found 31/31 tests for numpy.core.numerictypes Found 12/12 tests for numpy.core.records Found 6/6 tests for numpy.core.scalarmath Found 14/14 tests for numpy.core.umath Found 4/4 tests for numpy.ctypeslib Found 5/5 tests for numpy.distutils.misc_util Found 1/1 tests for numpy.fft.fftpack Found 3/3 tests for numpy.fft.helper Found 9/9 tests for numpy.lib.arraysetops Found 46/46 tests for numpy.lib.function_base Found 5/5 tests for numpy.lib.getlimits Found 4/4 tests for numpy.lib.index_tricks Found 3/3 tests for numpy.lib.polynomial Found 49/49 tests for numpy.lib.shape_base Found 15/15 tests for numpy.lib.twodim_base Found 43/43 tests for numpy.lib.type_check Found 1/1 tests for numpy.lib.ufunclike Found 40/40 tests for numpy.linalg Found 2/2 tests for numpy.random Found 0/0 tests for __main__ ................................................................................ ................................................................................ ................................................................................ ................................................................................ ..................................... Sounds like the problem is the fact that my desktop computers do not support SSE2 instructions which are in the latest numpy binaries. This also explains why it works fine on the laptop which does support SSE2. I piggy-backed onto an existing thread on the numpy list (is that bad listserve etiquette? - probably: I now have the same question on two lists and I tried to high jack a thread.). Unless someone has a better idea, I will try and build from source for him. But my windows building skills are not what they should be..... Ryan On Dec 11, 2007 2:06 PM, Fernando Perez <[EMAIL PROTECTED]> wrote: > > On Dec 11, 2007 12:01 PM, Ryan Krauss <[EMAIL PROTECTED]> wrote: > > I am trying to help a student get started with > > Python/Scipy/Numpy/Matplotlib in windows. On one of his machines, > > everything seems to install correctly, we can call figure(1) without a > > problem, and plotting is fine until we try the show() command. Then > > python crashes without much in the way of useful information. His > > laptop is completely fine. > > > > We have downloaded a current rc file and set the backend to TkAgg. > > > > Any thoughts? > > > > How do we get more info to track down the problem? > > Go to the windows information screens and fetch out some CPU details. > If it's a Pentium III, chances are the SSE2 instructions in the latest > numpy binary are the culprit. If it's a newer chip, we'll need to dig > deeper. > > Cheers, > > f > ------------------------------------------------------------------------- SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://sourceforge.net/services/buy/index.php _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users