Mailman 3 June 2006 - NumPy-Discussion

Fortran 95 compiler (from gcc 4.1.1) is not recognized by scipy
by Nadav Horesh 08 Jun '06

08 Jun '06

I recently upgraded to gcc4.1.1. When I tried to compile scipy from today's svn repository it halts with the following message: Traceback (most recent call last): File "setup.py", line 50, in ? setup_package() File "setup.py", line 42, in setup_package configuration=configuration ) File "/usr/lib/python2.4/site-packages/numpy/distutils/core.py", line 170, in setup return old_setup(**new_attr) File "/usr/lib/python2.4/distutils/core.py", line 149, in setup dist.run_commands() File "/usr/lib/python2.4/distutils/dist.py", line 946, in run_commands self.run_command(cmd) File "/usr/lib/python2.4/distutils/dist.py", line 966, in run_command cmd_obj.run() File "/usr/lib/python2.4/distutils/command/build.py", line 112, in run self.run_command(cmd_name) File "/usr/lib/python2.4/distutils/cmd.py", line 333, in run_command self.distribution.run_command(command) File "/usr/lib/python2.4/distutils/dist.py", line 966, in run_command cmd_obj.run() File "/usr/lib/python2.4/site-packages/numpy/distutils/command/build_ext.py", line 109, in run self.build_extensions() File "/usr/lib/python2.4/distutils/command/build_ext.py", line 405, in build_e xtensions self.build_extension(ext) File "/usr/lib/python2.4/site-packages/numpy/distutils/command/build_ext.py", line 301, in build_extension link = self.fcompiler.link_shared_object AttributeError: 'NoneType' object has no attribute 'link_shared_object' ---- The output of gfortran --version: GNU Fortran 95 (GCC) 4.1.1 (Gentoo 4.1.1) Copyright (C) 2006 Free Software Foundation, Inc. GNU Fortran comes with NO WARRANTY, to the extent permitted by law. You may redistribute copies of GNU Fortran under the terms of the GNU General Public License. For more information about these matters, see the file named COPYING I have also the old g77 compiler installed (g77-3.4.6). Is there a way to force numpy/scipy to use it? Nadav

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ndarray of matrices
by Alexandre Guimond 08 Jun '06

08 Jun '06

Hi all. i work mainly with "volume" (3d) images, and numpy.ndarray answers most of my needs (addition of images, etc.). The problem I'm faced now with is that I have images of matrices and vectors and would like that when I do image_of_matrices * image_of_vector is does the dot product of each of my matrices with all of my vectors, and when I do image_of_matrices.mean() it gives me the mean matrix. Basically, I want the same functionalities that are currently provided with scalars, but applied to matrices. It seems that a nice way of doing this is to have and ndarray of numpy.matrix, but this isn't supported it seems. Can anyone recommend a good way of implementing this? I'm new with the numpy thing and I'm not sure if subclassing ndarray is a good idea since I'll have to overload all the operators and i don't believe this will result in a very fast implementation, but I might be mistaken. Another possibility may be to create a new dtype for numpy.matrix, but I don't know if this is possible. Anyone have recommandations? Thx for any help. Alex. NOTICE: This e-mail message and all attachments transmitted with it may contain legally privileged and confidential information intended solely for the use of the addressee. If the reader of this message is not the intended recipient, you are hereby notified that any reading, dissemination, distribution, copying, or other use of this message or its attachments, hyperlinks, or any other files of any kind is strictly prohibited. If you have received this message in error, please notify the sender immediately by telephone (+44-1865-265500) or by a reply to this electronic mail message and delete this message and all copies and backups thereof.

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Typo in SWIG example
by Yves Frederix 08 Jun '06

08 Jun '06

Hi, When having a look at the SWIG example under trunk/numpy/doc/swig, I noticed a typing error in numpy.i. You can find the patch in attachment. Cheers, YVES Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm

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crash in multiarray.pyd
by Nicholas 07 Jun '06

07 Jun '06

Hi, I installed numpy 0.9.8 and when I try to import pylab I get a crash in multiarray.pyd. I then tried numpy 0.9.6, this cured the pylab import but now I cannot import scipy without crashing (again multiarray.pyd). I have tried complete reinstalls on 2 machines now with same behaviour so I dont believe it is some system dependent gremlin. Any suggestions? XP, Python 2.4.3, Matplotlib 87.2, Scipy 0.4.9 Nicholas

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trouble installing on fedora core 5 64 bit
by JJ 07 Jun '06

07 Jun '06

Hello. I am having some trouble getting numpy installed on an AMD 64 bit Fedora 5 machine. I have loaded atlas, blas, and lapack using yum. I can see their library files in /usr/lib64/atlas/ (files such as libblas.so.3.0). But the setup program will not run. I have obtained the latest version of numpy using svn co http://svn.scipy.org/svn/numpy/trunk numpy. I have created a site.cfg file containing: [atlas] library_dirs = /usr/lib64 atlas_libs = lapack, blas, cblas, atlas But when I try to run python setup.py install it appears that none of the libraries are seeen. I get the following error messages and output. Can anyone offer help? Thanks. [root@fedora-newamd numpy]# python setup.py install Running from numpy source directory. No module named __svn_version__ F2PY Version 2_2587 blas_opt_info: blas_mkl_info: looking libraries mkl,vml,guide in /usr/local/lib but found None looking libraries mkl,vml,guide in /usr/lib but found None NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS looking libraries lapack,blas,cblas,atlas in /usr/lib64/atlas but found None looking libraries lapack,blas,cblas,atlas in /usr/lib64/atlas but found None looking libraries lapack,blas,cblas,atlas in /usr/local/lib but found None looking libraries lapack,blas,cblas,atlas in /usr/local/lib but found None looking libraries lapack,blas,cblas,atlas in /usr/lib but found None looking libraries lapack,blas,cblas,atlas in /usr/lib but found None NOT AVAILABLE atlas_blas_info: looking libraries lapack,blas,cblas,atlas in /usr/lib64/atlas but found None looking libraries lapack,blas,cblas,atlas in /usr/lib64/atlas but found None looking libraries lapack,blas,cblas,atlas in /usr/local/lib but found None looking libraries lapack,blas,cblas,atlas in /usr/local/lib but found None looking libraries lapack,blas,cblas,atlas in /usr/lib but found None looking libraries lapack,blas,cblas,atlas in /usr/lib but found None NOT AVAILABLE /usr/local/numpy/numpy/distutils/system_info.py:1281: UserWarning: Atlas (http://math-atlas.sourceforge.net/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [atlas]) or by setting the ATLAS environment variable. warnings.warn(AtlasNotFoundError.__doc__) blas_info: looking libraries blas in /usr/local/lib but found None looking libraries blas in /usr/local/lib but found None looking libraries blas in /usr/lib but found None looking libraries blas in /usr/lib but found None NOT AVAILABLE /usr/local/numpy/numpy/distutils/system_info.py:1290: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. warnings.warn(BlasNotFoundError.__doc__) blas_src_info: NOT AVAILABLE <snip> __________________________________________________ Do You Yahoo!? Tired of spam? Yahoo! Mail has the best spam protection around http://mail.yahoo.com

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byte swap in place
by Christopher Hanley 07 Jun '06

07 Jun '06

Hi, Is there a way to byte swap a ndarray in place? The "byteswap" method I have found on an ndarray object currently returns a new array. Example: In [16]: a = n.array([1,2,3,4,5]) In [17]: a Out[17]: array([1, 2, 3, 4, 5]) In [18]: b = a.byteswap() In [19]: b Out[19]: array([16777216, 33554432, 50331648, 67108864, 83886080]) In [20]: b[0] = 0 In [21]: b Out[21]: array([ 0, 33554432, 50331648, 67108864, 83886080]) In [22]: a.dtype Out[22]: dtype('<i4') In [23]: b.dtype Out[23]: dtype('<i4') Thank you for your time and help, Chris

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large-scale
by Andromache Lynn 07 Jun '06

07 Jun '06

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in-line skate
by Dorian Mclean 06 Jun '06

06 Jun '06

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array of tuples
by Travis N. Vaught 06 Jun '06

06 Jun '06

I'd like to construct an array of tuples and I'm not sure how (without looping). Is there a quick way to do this with dtype? I've tried: >>> import numpy >>> x = [(1,2,3),(4,5,6)] >>> numpy.array(x) array([[1, 2, 3], [4, 5, 6]]) >>> numpy.array(x, dtype='p') array([[1, 2, 3], [4, 5, 6]]) >>> numpy.array(x, dtype='O') array([[1, 2, 3], [4, 5, 6]], dtype=object) Thanks, Travis

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ANN: Python Enthought Edition Version 0.9.7 Released
by Bryce Hendrix 06 Jun '06

06 Jun '06

Enthought is pleased to announce the release of Python Enthought Edition Version 0.9.7 (http://code.enthought.com/enthon/) -- a python distribution for Windows. 0.9.7 Release Notes: -------------------- Version 0.9.7 of Python Enthought Edition includes an update to version 1.0.7 of the Enthought Tool Suite (ETS) Package and bug fixes-- you can look at the release notes for this ETS version here: http://svn.enthought.com/downloads/enthought/changelog-release.1.0.7.html About Python Enthought Edition: ------------------------------- Python 2.3.5, Enthought Edition is a kitchen-sink-included Python distribution for Windows including the following packages out of the box: Numeric SciPy IPython Enthought Tool Suite wxPython PIL mingw f2py MayaVi Scientific Python VTK and many more... More information is available about all Open Source code written and released by Enthought, Inc. at http://code.enthought.com

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