[Numpy-discussion] loadtxt error

[David Huard]

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 <discerptor at gmail.com> 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 <f.yw at hotmail.com> 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: pgmdevlist at gmail.com
> >> To: numpy-discussion at 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 at 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 at scipy.org
> > http://projects.scipy.org/mailman/listinfo/numpy-discussion
> >
> >
> _______________________________________________
> Numpy-discussion mailing list
> Numpy-discussion at scipy.org
> http://projects.scipy.org/mailman/listinfo/numpy-discussion
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20080924/53823e67/attachment.html>