Mailman 3 March 2009 - NumPy-Discussion

ANN: python for scientific computing at SIAM CSE 09
by Fernando Perez March 10, 2009

March 10, 2009

Hi all, sorry for the spam, but in case any of you are coming to the SIAM Conference on Computational Science and Engineering (CSE09) in Miami: http://www.siam.org/meetings/cse09/ you might be interested in stopping by the Python sessions on Thursday: http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=8044 http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=8045 http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=8046 Think of it as the East Coast March mini-edition of Scipy'09 ;) Cheers, f

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ImportError: ccompiler
by Julius Schlüter March 9, 2009

March 9, 2009

Hi, I'm a Newbie, trying to compile Numpy on Vista with Python 2.6, following this guide: http://code.google.com/p/pyamg/wiki/CompilingOnWinXP It worked one time. Now that I've updated Numpy to the latest subversion and tried a second time, I get this error: C:\Users\...>python C:\Python26\Lib\site-packages\numpy\setup.py config --compiler=mingw32 build --compiler=mingw32 install Running from numpy source directory. Traceback (most recent call last): File "C:\Python26\Lib\site-packages\numpy\setup.py", line 96, in <module> setup_package() File "C:\Python26\Lib\site-packages\numpy\setup.py", line 68, in setup_package from numpy.distutils.core import setup File "C:\Python26\Lib\site-packages\numpy\numpy\distutils\__init__.py", line 6, in <module> import ccompiler File "C:\Python26\Lib\site-packages\numpy\numpy\distutils\ccompiler.py", line6, in <module> from distutils.ccompiler import * File "C:\python26\Lib\site-packages\numpy\distutils\__init__.py", line 6, in <module> import ccompiler File "C:\python26\Lib\site-packages\numpy\distutils\ccompiler.py", line 7, in <module> from distutils import ccompiler ImportError: cannot import name ccompiler My PATH: %SystemRoot%\system32;%SystemRoot%;%SystemRoot%\System32\Wbem;C:\Program Files\Microsoft SQL Server\90\Tools\binn\;C:\python26\;C:\Program Files\Bazaar;C:\Program Files\TortoiseSVN\bin;C:\MinGW\bin\ There was someone on this list almost two years ago who had the same problem. But he had \site-packages\numpy\ in his path, which I don't have. Any help is highly appreciated. -Jules

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PyCon, anyone?
by Christopher Barker March 9, 2009

March 9, 2009

Hey folks, I'm trying to get an idea of how many folks from the numpy/scipy/mpl community will be at PyCon this year. If enough of us, maybe a sprint is in order, but in any case, it might be nice to get together. Please send me a note off-list (to keep the clutter down) if you are going. I may compile a list and post that, so let me know if it's OK to post your name. -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception Chris.Barker(a)noaa.gov

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Array with different types
by p0707 March 9, 2009

March 9, 2009

Hi! How can I store such arrays: A 1 2.3 1.2 3 d 1.2 B 4 2.3 5.2 3 c 1.2 A 1 2.3 ? 3 e 1.2 using NumPy with support for basic functions: sum, max, min. Is it possible? If not, how I can do this in effective way? Thanks for help Peter

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NotImplemented string in clip not transformed into exception ?
by David Cournapeau March 9, 2009

March 9, 2009

Hi, While fixing a segfault in clip, I noticed a strange behavior: import numpy as np # Print NotImplemented, but does not raise any exception a = np.complex128().clip('rrr', 1) Where is this string output coming from ? From numpy or python ? How can I transform this into a proper exception ? cheers, David

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doc error in fromregex
by Neal Becker March 9, 2009

March 9, 2009

http://docs.scipy.org/doc/numpy/reference/generated/numpy.fromregex.html#nu… says 'str or file', but I don't think it takes str, only file name

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Handling named temporary files in tests
by David Cournapeau March 9, 2009

March 9, 2009

Hi, While fixing several windows specific unit test failures, I encountered some problems I am not sure how to solve. In particular, we have a relatively common idiom as follows: Open file securely with a visible name (using NamedTemporaryFile) write some content into it open the file with another open call Of course, this does not work on windows. NamedTemporaryFile is basically useless on this platform (windows refuses to let a process to reopen a file opened from NamedTemporaryFile). I can see two solutions: - using mkstemp + re-opening the file later from the name returned by mkstemp: AFAICT, this basically defeats the whole purpose of mkstemp - have our own layer to bypass mkstemp on windows, where security is not a concern anyway, and use the proper functions on sane platforms. Do people have an opinion on this ? Or maybe a solution to the problem altogether ? cheers, David

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N-D array interface page is out of date
by Andrew Straw March 9, 2009

March 9, 2009

Hi, I just noticed that the N-D array interface page is outdated and doesn't mention the buffer interface that is standard with Python 2.6 and Python 3.0: http://numpy.scipy.org/array_interface.shtml This page is linked to from http://numpy.scipy.org/ I suggest, at the minimum, modifying the page with really annoying blinking red letters at the top (or other suitable warning) that this is deprecated at that people should use http://www.python.org/dev/peps/pep-3118/ instead.

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numpy.scipy.org
by Andrew Straw March 9, 2009

March 9, 2009

Hi all, I have been doing some editing of http://numpy.scipy.org . In general, however, lots of this page is redundant and outdated compared to lots of other documentation that has now sprung up. Shall we kill this page off, redirect it to another page, or continue updating it? (For this latter option, patches are welcome.) -Andrew

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strange multiplication behavior with numpy.float64 and ndarray subclass
by Darren Dale March 8, 2009

March 8, 2009

I have a simple test script here that multiplies an ndarray subclass with another number. Can anyone help me understand why each of these combinations returns a new instance of MyArray: mine = MyArray() print type(np.float32(1)*mine) print type(mine*np.float32(1)) print type(mine*np.float64(1)) print type(1*mine) print type(mine*1) but this one returns a np.float64 instance? print type(np.float64(1)*mine) Here is the full script: import numpy as np class MyArray(np.ndarray): __array_priority__ = 20 def __new__(cls): return np.asarray(1).view(cls).copy() def __repr__(self): return 'my_array' __str__ = __repr__ def __mul__(self, other): return super(MyArray, self).__mul__(other) def __rmul__(self, other): return super(MyArray, self).__rmul__(other) mine = MyArray() print type(np.float32(1)*mine) print type(mine*np.float32(1)) print type(mine*np.float64(1)) print type(1*mine) print type(mine*1) print type(np.float64(1)*mine) Thanks, Darren

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