Note that the fix was also backported to 1.2, for which binary builds are available:
David [ copied from a recent thread ] The 1.2.0rc2 is now available: http://svn.scipy.org/svn/numpy/tags/1.2.0rc2 The source tarball is here: https://cirl.berkeley.edu/numpy/numpy-1.2.0rc2.tar.gz Here is the universal Mac binary: https://cirl.berkeley.edu/numpy/numpy-1.2.0rc2-py2.5-macosx10.5.dmg Here are the Window's binaries: http://www.ar.media.kyoto-u.ac.jp/members/david/archives/numpy/numpy-1.2 .0rc2-win32-superpack-python2.4.exe http://www.ar.media.kyoto-u.ac.jp/members/david/archives/numpy/numpy-1.2 .0rc2-win32-superpack-python2.5.exe Here are the release notes: http://scipy.org/scipy/numpy/milestone/1.2.0 On Wed, Sep 24, 2008 at 2:36 AM, Joshua Lippai <[EMAIL PROTECTED]> wrote: > David said the bug was fixed in the trunk, which you don't have; the > development state of the main source code, or the trunk, is the latest > state available, and releases are always a bit behind trunk since it > would be kind of ridiculous to make a new release every time someone > commits a change. You can download the current NumPy source code via > subversion with > > svn co http://svn.scipy.org/svn/numpy/trunk numpy > > While the most recent release version number is 1.1.1, the trunk is at > something more along the lines of 1.3.0dev5861 at the moment. You can > check your numpy version from the Python shell by importing numpy and > then calling the __version__ function. So you would type: > > import numpy > numpy.__version__ > > And the version would be displayed on screen. Bear in mind that unlike > the release, which installs via an installer file you double click, > you will have to compile numpy from the downloaded source code > yourself. Detailed instructions for doing this (and also installing > SciPy from source) are available here: > > http://www.scipy.org/Installing_SciPy/Windows > > > Josh > > On Tue, Sep 23, 2008 at 10:14 PM, frank wang <[EMAIL PROTECTED]> wrote: > > My numpy version is 1.1.1. I just downloaded and installed. It is the > same > > result. Also, when I use the list, I got similar error said list does not > > have the find command. > > > > ---> 14 > > fid=loadtxt(fname,comments='"',dtype='|S4',converters={cols:lambda s > > :int(s,16)},usecols=[cols]) > > 15 > > 16 > > #fid=loadtxt('ww36_5adcoutputsin45mhznotuner-0dbm_mux_adc_ddc_rmR.cs > > v',comments='"',dtype='string',usecols=(0,)) > > C:\Python25\lib\site-packages\numpy\lib\io.pyc in loadtxt(fname, dtype, > > comments > > , delimiter, converters, skiprows, usecols, unpack) > > 337 for i, conv in (user_converters or {}).iteritems(): > > 338 if usecols: > > --> 339 i = usecols.find(i) > > 340 converters[i] = conv > > 341 > > AttributeError: 'list' object has no attribute 'find' > >> c:\python25\lib\site-packages\numpy\lib\io.py(339)loadtxt() > > 338 if usecols: > > --> 339 i = usecols.find(i) > > 340 converters[i] = conv > > > > > > Thanks > > > > Frank > > > >> From: [EMAIL PROTECTED] > >> To: numpy-discussion@scipy.org > >> Date: Mon, 22 Sep 2008 20:10:11 -0400 > >> Subject: Re: [Numpy-discussion] loadtxt error > >> > >> On Monday 22 September 2008 19:56:47 frank wang wrote: > >> > This error is caused that the usecols is a tuple and it does not have > >> > find > >> > command. I do not know how to fix this problem. > >> > >> Try to use a list instead of a tuple as a quick-fix. > >> Anyway, Frank, you should try to give us the version of numpy you're > >> using. > >> Obviously, it's not the latest. > >> _______________________________________________ > >> Numpy-discussion mailing list > >> Numpy-discussion@scipy.org > >> http://projects.scipy.org/mailman/listinfo/numpy-discussion > > > > > > ________________________________ > > See how Windows connects the people, information, and fun that are part > of > > your life. See Now > > _______________________________________________ > > Numpy-discussion mailing list > > Numpy-discussion@scipy.org > > http://projects.scipy.org/mailman/listinfo/numpy-discussion > > > > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion >
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