Mailman 3 June 2005 - NumPy-Discussion

How to build debug version of numarray-1.3.2?
by Paul Lucek 14 Jun '05

14 Jun '05

I am writing Python extensions that use numarray in MS VS.NET 2003. I would like to be able to debug the extensions in the .NET debugger. I am able to do this with my extensions that do not need numarray. However, I can not "import numarray" into a "python_d.exe" session. I have tried to build numarray with "python_d setup.py build --debug" and then tried "import numarray" under "python_d.exe" and get the following message: >>> import numarray Traceback (most recent call last): File "<stdin>", line 1, in ? File "C:\Python24\Lib\site-packages\numarray\__init__.py", line 42, in ? from numarrayall import * File "C:\Python24\Lib\site-packages\numarray\numarrayall.py", line 1, in ? from numerictypes import * File "C:\Python24\Lib\site-packages\numarray\numerictypes.py", line 33, in ? from typeconv import typeConverters as _typeConverters File "C:\Python24\lib\site-packages\numarray\typeconv.py", line 6, in ? import _conv ImportError: Module use of python24.dll conflicts with this version of Python. [47426 refs] Any ideas/help would be appreciated. I could not find any faq's or howto's on this. ______________________________________________________________ NOTICE- This communication (including any attachments) contains confidential and/or privileged information and is intended only for the use of the individual(s) to whom it is addressed for a specific purpose and is protected by law. Any review, use, distribution, disclosure, alteration, copying, transmittal or re-transmittal by persons who are not intended recipients of this communication may be a violation of law and is strictly prohibited. If you are not the intended recipient, please permanently delete all copies of this communication and any attachments from your computer system, destroy any hard copies, and immediately notify the sender or SSARIS Advisors, LLC at compliance(a)ssaris.com or (203) 328-7200. No waiver of confidentiality or privilege is made by mistransmission. Any views expressed in this communication are those of the individual sender. This communication and any attachments hereto are for informational purposes only and should not be construed as an offer to sell interests or shares in any investment vehicle managed by SSARIS Advisors, LLC or its affiliates. Any information regarding trading performance must be considered in conjunction with the appropriate disclosure documents. Past performance is not necessarily indicative of future results. SSARIS Advisors, LLC reserves the right to monitor all communications through its networks. ______________________________________________________________

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GOOD DAY
by omilies＠pigizois.gr 14 Jun '05

14 Jun '05

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Good day
by holylite＠otenet.gr 14 Jun '05

14 Jun '05

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ImportError: No module named Numeric
by Darren Thompson 13 Jun '05

13 Jun '05

Hi, I know I have Numeric installed correctly because Python 2.3.5 (#1, Jun 13 2005, 10:59:48) [GCC 4.0.0 20041026 (Apple Computer, Inc. build 4061)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import Numeric >>> but Welcome to Aria version 2.0alpha. Traceback (most recent call last): File "/usr/local/aria/aria2.0/aria2.py", line 770, in ? from aria import AriaBaseClass File "/usr/local/aria/aria2.0/src/py/aria.py", line 60, in ? from TypeChecking import * File "/usr/local/aria/aria2.0/src/py/TypeChecking.py", line 15, in ? from Numeric import zeros as _zeros ImportError: No module named Numeric Is there a way to make python module numeric permanent? Please help

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ANN: MDP 1.1.0
by Tiziano Zito 13 Jun '05

13 Jun '05

MDP 1.1.0 --------- http://mdp-toolkit.sourceforge.net/ Modular toolkit for Data Processing (MDP) is a Python library to perform data processing. Already implemented algorithms include: Principal Component Analysis (PCA), Independent Component Analysis (ICA), Slow Feature Analysis (SFA), and Growing Neural Gas (GNG). MDP allows to combine different algorithms and other data processing elements (nodes) into data processing sequences (flows). Moreover, it provides a framework that makes the implementation of new algorithms easy and intuitive. MDP supports the most common numerical extensions to Python, currently Numeric, Numarray, SciPy. When used together with SciPy and the symeig package, MDP gives to the scientific programmer the full power of well-known C and FORTRAN data processing libraries. MDP helps the programmer to exploit Python object oriented design with C and FORTRAN efficiency. MDP has been written for research in neuroscience, but it has been designed to be helpful in any context where trainable data processing algorithms are used. Its simplicity on the user side together with the reusability of the implemented nodes could make it also a valid educational tool. Requirements: * Python >= 2.3 * one of the following Python numerical extensions: Numeric, Numarray, or SciPy. For optimal performance we recommend to use SciPy with LAPACK and ATLAS libraries, and to install the symeig module. (sorry for multiple posting) -- Tiziano Zito Institute for Theoretical Biology Humboldt-Universitaet zu Berlin Invalidenstrasse, 43 D-10115 Berlin, Germany http://itb.biologie.hu-berlin.de/~zito/

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ufuncs of ma
by John Hunter 09 Jun '05

09 Jun '05

>From the numarray manual 18.5.1 The result of a unary operation will be masked whenever the original operand was masked.... The following functions have their standard meaning absolute, ...., sin, ... I would have expected this to work import numarray as nx import numarray.ma as ma t = nx.arange(0.0, 2.0, 0.01) tm = ma.masked_outside(t, .2, 1.2) s = nx.sin(tm) but instead I get /usr/lib/python2.4/site-packages/numarray/ma/MA.py in __array__(self, t) 673 if self._mask is not None: 674 if Numeric.any(self._mask): --> 675 raise MAError, \ 676 """Cannot automatically convert masked array to Numeric because data 677 is masked in one or more locations. MAError: Cannot automatically convert masked array to Numeric because data is masked in one or more locations. I see the same with Numeric and MA Am I misreading this? Does "have their standard meaning" mean that MA is not supported? In [8]: numarray.__version__ Out[8]: '1.3.2' In [9]: Numeric.__version__ Out[9]: '24.0b2' JDH

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NumArray sort method
by Colin J. Williams 08 Jun '05

08 Jun '05

I would appreciate a pointer to the purpose and values for the "kind" argument. def sort(self, axis=-1, kind=''): """sorts an array in-place along the specified axis, returning None. """ Colin W.

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Error in nd_image filters?
by Russel Howe 07 Jun '05

07 Jun '05

I think there is an error in the 2nd and 3rd derivative gaussian kernels in the nd_image module. I have attached a patch which I believe has the correct formula, would someone please double-check me on this? Thanks Russel Howe --- numarray-1.3.2/Packages/nd_image/Lib/filters.py 2005-03-08 15:58:08.000000000 -0800 +++ numarray-1.3.2-modified/Packages/nd_image/Lib/filters.py 2005-05-05 15:52:00.000000000 -0700 @@ -189,7 +189,7 @@ weights[lw] = -1.0 for ii in range(1, lw + 1): x = float(ii) - tmp = (2.0 * x * x / sd - 1.0) * weights[lw + ii] + tmp = ( x * x / sd - 1.0 ) * weights[lw + ii] / sd weights[lw + ii] = tmp weights[lw - ii] = tmp elif order == 3: # third derivative @@ -197,7 +197,7 @@ sd2 = sd * sd for ii in range(1, lw + 1): x = float(ii) - tmp = (6.0 - 4.0 * x * x / sd) * x * weights[lw + ii] + tmp = (3.0 - x * x / sd) * x * weights[lw + ii] / sd / sd weights[lw + ii] = tmp weights[lw - ii] = -tmp return correlate1d(input, weights, axis, origin = 0, mode = mode,

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Returned mail: see transcript for details
by Mail Delivery Subsystem 06 Jun '05

06 Jun '05

The original message was received at Thu, 2 Jun 2005 13:17:04 +0400 (MSD) from [62.117.122.242] ----- The following addresses had permanent fatal errors ----- <bocharsky(a)grebennikov.ru> (reason: Deferred) ----- Transcript of session follows ----- <bocharsky(a)grebennikov.ru>... Deferred: cyrus mailer (/usr/local/cyrus/bin/deliver) exited with EX_TEMPFAIL Message could not be delivered for 5 days Message will be deleted from queue

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vacuum expansion of strings in record array
by Les Schaffer 06 Jun '05

06 Jun '05

is this a feature or a bug? see snippet below, i would like the empty string to stay empty, not grow to an empty space from nothing. thnx les schaffer code: import numarray.records as rec names = ['col1', 'col2'] d1 = [ ['', 'hello'], ['', 'world']] d2 = [ ['hh', 'hello'], ['', 'world']] print d1, d2 recarray1 = rec.array(d1, names=names) # aligned=0,1 made no diff recarray2 = rec.array(d2, names=names) # aligned=0,1 made no diff print recarray1 print recarray2 output: [['', 'hello'], ['', 'world']] [['hh', 'hello'], ['', 'world']] RecArray[ ('', 'hello'), ('', 'world') ] RecArray[ ('hh', 'hello'), (' ', 'world') ^ |____ vacuum expansion ]

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