NumPy-Discussion November 2011

numpy-discussion@python.org

64 participants
66 discussions

scipy.org still says source in some subversion repo -- should be git !?
by Sebastian Haase 02 Dec '11

02 Dec '11

google search for: numpy browse source points here: http://new.scipy.org/download.html which talks about: svn co http://svn.scipy.org/svn/numpy/trunk numpy the link should probably go here: https://github.com/numpy/numpy as already stated here: http://www.scipy.org/Developer_Zone HTH, Sebastian Haase

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what statistical module to use for python?
by Chao YUE 01 Dec '11

01 Dec '11

Hi all, I just want to broadly ask what statistical package are you guys using? I mean routine statistical function like linear regression, GLM, ANOVA... etc. I know there is SciKits packages like statsmodels, but are there more general and complete ones? thanks to all, Chao -- *********************************************************************************** Chao YUE Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL) UMR 1572 CEA-CNRS-UVSQ Batiment 712 - Pe 119 91191 GIF Sur YVETTE Cedex Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16 ************************************************************************************

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who owns the data?
by josef.pktd＠gmail.com 30 Nov '11

30 Nov '11

just a basic question (since I haven't looked at this in some time) I'm creating a structured array in a function. However, I want to return the array with just a simple dtype uni = uni.view(dt).reshape(-1, ncols) return uni the returned uni has owndata=False. Who owns the data, since the underlying, original array went out of scope? alternatives 1) uni = np.asarray(uni, dt).reshape(-1, ncols) return uni looks obvious but raises exception 2) uni.dtype = dt uni.reshape(-1, ncols) return uni this works and uni owns the data. I'm only worried whether assigning to dtype directly is not a dangerous thing to do. >>> u array([0, 0, 0, 1, 1, 0, 1, 1]) >>> u.dtype = np.dtype("float") >>> u array([ 0.00000000e+000, 2.12199579e-314, 4.94065646e-324, 2.12199579e-314]) adding a safety check: for t in uni.dtype.fields.values(): assert (t[0] == dt) maybe I shouldn't care if nobody owns the data. Thanks, Josef

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Reading automatically all the parameters from a file
by Giovanni Plantageneto 30 Nov '11

30 Nov '11

Dear all, I have a simple question. I would like to have all the parameters of a model written in a configuration file (text), and I would like to have all the parameters in the file automatically defined inside a program. I find ConfigParser a bit low level, is there any function that automatically reads everything from a file? Thanks.

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binary to ascii
by Alex Ter-Sarkissov 29 Nov '11

29 Nov '11

hi eveyone, is there a simple command in numpy similar to matlab char(bin2dec('//some binary value//')) to convert binary to characters and back? thanks

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dtype
by Mads Ipsen 28 Nov '11

28 Nov '11

Hi, Where can I find a complete and exhaustive description of the dtype syntax and arguments. For example, something like a = arange(4, dtype='=H') seems hard to extract from the documentation that I can find on the web and the numpy docstrings. Best regards Mads -- +-----------------------------------------------------+ | Mads Ipsen | +----------------------+------------------------------+ | Gåsebæksvej 7, 4. tv | | | DK-2500 Valby | phone: +45-29716388 | | Denmark | email: mads.ipsen(a)gmail.com | +----------------------+------------------------------+

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recarray field access: cannot call setfield on an object array
by Christoph Gohle 27 Nov '11

27 Nov '11

Hi, I have a problem with recarray field access using attributes: Microsoft Windows [Version 6.1.7601] Copyright (c) 2009 Microsoft Corporation. All rights reserved. C:\Users\labuser>python Python 2.6.6 (r266:84297, Aug 24 2010, 18:46:32) [MSC v.1500 32 bit (Intel)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> from numpy import * >>> a = recarray(5,formats = ['i4','f8','O'],names = ['a','b','c']) >>> a.a = 5 Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Python26\lib\site-packages\numpy\core\records.py", line 454, in __set attr__ return self.setfield(val, *res) RuntimeError: cannot call setfield on an object array This is on numpy version 1.6.0 from the pythonxy distribution on windows 7. Access using a['a'] works as expected. What am I doing wrong? Cheers, Christoph

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numpy.savetxt for complex arrays
by Paul Anton Letnes 27 Nov '11

27 Nov '11

Hello numpy fans, a patch and pull request for ticket 1573 has been posted, giving numpy.savetxt the possibility to save complex arrays to text files. Formatting of the output is supported roughly along the same lines as for real numbers. https://github.com/numpy/numpy/pull/172 Share, test, discuss, and enjoy! Cheers Paul.

1 0

21 Success Secrets of Self-Made Millionaires
by Dave 25 Nov '11

25 Nov '11

http://jm-a.nm.ru - 21 Scucess Secrets of Self-Made Millionaires

1 0

Re: [Numpy-discussion] compiling and linking MKL with numpy/scipy
by Xavier Barthelemy 24 Nov '11

24 Nov '11

Dear everyone I have been a bit better patching the files I finally get something in .basrc source /opt/intel/composer_xe_2011_sp1.7.256/bin/compilervars.sh intel64 source /opt/intel/composer_xe_2011_sp1.7.256/mkl/bin/mklvars.sh intel64 lp64 export OMP_NUM_THREADS=4 export KMP_AFFINITY=verbose,compact env variables: export LD_LIBRARY_PATH=/opt/intel/composer_xe_2011_sp1.7.256/mkl/:/opt/intel/composer_xe_2011_sp1.7.256/mkl/lib/intel64/:/opt/intel/composer_xe_2011_sp1.7.256/compiler/lib/intel64/:/opt/intel/composer_xe_2011_sp1.7.256/mkl/include/intel64/lp64:/opt/intel/composer_xe_2011_sp1.7.256/mkl/include/:$LD_LIBRARY_PATH site.cfg [mkl] library_dirs = /opt/intel/composer_xe_2011_sp1.7.256/mkl/:/opt/intel/composer_xe_2011_sp1.7.256/mkl/lib/intel64/:/opt/intel/composer_xe_2011_sp1.7.256/compiler/lib/intel64/:/opt/intel/composer_xe_2011_sp1.7.256/mkl/include/intel64/lp64/:/opt/intel/composer_xe_2011_sp1.7.256/mkl/lib/intel64/ include_dirs = /opt/intel/composer_xe_2011_sp1.7.256/mkl/:/opt/intel/composer_xe_2011_sp1.7.256/mkl/lib/intel64/:/opt/intel/composer_xe_2011_sp1.7.256/compiler/lib/intel64/:/opt/intel/composer_xe_2011_sp1.7.256/mkl/include/intel64/lp64/:/opt/intel/composer_xe_2011_sp1.7.256/mkl/include/ lapack_libs = mkl_libs = mkl_def, mkl_intel_lp64, mkl_core , mkl_intel_thread, mkl_mc distutils/intelcompiler.py cc_exe = 'icc -m64 -O2 -fomit-frame-pointer -openmp -lpthread -fPIC -xHost -fp-model strict -L/opt/intel/composer_xe_2011_sp1.7.256/mkl/lib/intel64 -I/opt/intel/composer_xe_2011_sp1.7.256/mkl/include/intel64/lp64 -lm' ccxx_exe = 'icpc -m64 -O2 -fomit-frame-pointer -openmp -lpthread -fPIC -xHost -fp-model strict -L/opt/intel/composer_xe_2011_sp1.7.256/mkl/lib/intel64 -I/opt/intel/composer_xe_2011_sp1.7.256/mkl/include/intel64/lp64 -lm' distutils/fcompiler/intel.py return ['-O3 -openmp -fpe0 -L/opt/intel/composer_xe_2011_sp1.7.256/mkl/lib/intel64 -lpthread -xHost -I/opt/intel/composer_xe_2011_sp1.7.256/mkl/include/intel64/lp64 -I/opt/intel/composer_xe_2011_sp1.7.256/mkl/include -lm'] in numpy.test("full") i get test_double (test_linalg.TestCond2) ... python: symbol lookup error: /opt/intel/composer_xe_2011_sp1.7.256/mkl/lib/intel64/libmkl_sequential.so: undefined symbol: mkl_serv_lock I am trying to look for mkl_serv_lock, but impossible to find. some ideas, someone? Xavier

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NumPy-Discussion November 2011