[Numpy-discussion] loadtxt error

[frank wang]

Hi, Stefan,
 
Thanks for your help.
 
First it is my typing error. My command is:fid=loadtxt('filename.csv',comments='"',dtype='|S4',converters={1:lambdas:int(s,16)},usecols=(1,))
 
It is not the zero. This will causes the same error as:
In [218]: fid=loadtxt('test.dat',comments='"',dtype='|S4',converters={1:lambda s:int(s,16)},usecols=(1,))---------------------------------------------------------------------------AttributeError                            Traceback (most recent call last)
C:\DHG\DOCSIS\lab_test\parseadc.py in <module>()----> 1      2      3      4      5
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: 'tuple' 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
 
This command is the same as yours. I do not know why it is working for you.> Date: Mon, 22 Sep 2008 22:13:18 +0200> From: stefan at sun.ac.za> To: numpy-discussion at scipy.org> Subject: Re: [Numpy-discussion] loadtxt error> > 2008/9/22 frank wang <f.yw at hotmail.com>:> > It will load an array has two columns. However, I only want to load one> > column to save the memory. If I type> >> > fid=loadtxt('filename.csv',comments='"',dtype='|S4',converters={0:lambda> > s:int(s,16)},usecols=(1,))> > You are specifying a converter that won't be in the output. I can fix> that, but in the meantime do:> > np.loadtxt('dat.dat',comments='"',dtype='|S4',converters={1:lambda> s:int(s,16)},usecols=(1,))> [(565,), (919,)]> |S4> > Regards> Stéfan> _______________________________________________> Numpy-discussion mailing list> Numpy-discussion at scipy.org> http://projects.scipy.org/mailman/listinfo/numpy-discussion
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